@withone/mem - npm Package Compare versions

Comparing version 0.1.0 to 0.2.0

dist/cli.js

@@ -36,3 +36,3 @@ #!/usr/bin/env node
 const __dirname = dirname(__filename);
-import { add, get, list, update, remove, link, unlink, linked, search, context, archive, unarchive, flush, weight, } from "./client.js";
+import { add, get, list, update, remove, link, unlink, linked, search, context, archive, unarchive, flush, weight, addExternalRef, findByExternalRef, listExternalRefs, findByKey, upsertByKeys, addKeys, removeKeys, } from "./client.js";
 import { SCHEMA_VERSION, getMigrationSQL } from "./schema.js";
@@ -50,3 +50,4 @@ const program = new Command();
     .description("Add a new memory")
-    .action(async (type, jsonStr) => {
+    .option("-k, --keys <keys>", "Comma-separated identity keys")
+    .action(async (type, jsonStr, options) => {
     try {
@@ -56,5 +57,15 @@ const data = JSON.parse(jsonStr);
         const weightVal = data.weight;
+        const dataKeys = data.keys;
         delete data.tags;
         delete data.weight;
-        const result = await add(type, data, { tags, weight: weightVal });
+        delete data.keys;
+        // Merge keys from --keys flag and data.keys
+        let keys;
+        if (options.keys) {
+            keys = options.keys.split(",").map((k) => k.trim());
+        }
+        if (Array.isArray(dataKeys)) {
+            keys = [...(keys || []), ...dataKeys];
+        }
+        const result = await add(type, data, { tags, keys, weight: weightVal });
         if (result) {
@@ -66,2 +77,4 @@ const name = data.content?.slice(0, 50) || data.topic || data.title || result.id;
                 console.log(`Weight: ${weightVal}`);
+            if (keys?.length)
+                console.log(`Keys: ${keys.join(", ")}`);
         }
@@ -80,6 +93,18 @@ else {
     .command("get <id>")
-    .description("Get a memory by ID")
+    .description("Get a memory by ID or key")
     .option("--with-links", "Include linked records")
     .action(async (id, options) => {
-    const result = await get(id, options.withLinks);
+    // Auto-detect: UUID starts with 8 hex chars followed by a dash
+    const isUuid = /^[0-9a-f]{8}-/.test(id);
+    let result;
+    if (isUuid) {
+        result = await get(id, options.withLinks);
+    }
+    else {
+        // Treat as a key
+        result = await findByKey(id);
+        if (result && options.withLinks) {
+            result = await get(result.id, true);
+        }
+    }
     if (result) {
@@ -149,2 +174,70 @@ console.log(JSON.stringify(result, null, 2));
 // =============================================================================
+// Key-Based Commands
+// =============================================================================
+program
+    .command("upsert <type> <json>")
+    .description("Upsert a memory by keys (insert or update)")
+    .option("-k, --keys <keys>", "Comma-separated identity keys (required)")
+    .action(async (type, jsonStr, options) => {
+    try {
+        const data = JSON.parse(jsonStr);
+        const tags = data.tags;
+        const weightVal = data.weight;
+        const dataKeys = data.keys;
+        delete data.tags;
+        delete data.weight;
+        delete data.keys;
+        let keys = [];
+        if (options.keys) {
+            keys.push(...options.keys.split(",").map((k) => k.trim()));
+        }
+        if (Array.isArray(dataKeys)) {
+            keys.push(...dataKeys);
+        }
+        if (keys.length === 0) {
+            console.error("Keys required. Use --keys or include keys in JSON.");
+            process.exit(1);
+        }
+        const result = await upsertByKeys(type, data, keys, { tags, weight: weightVal });
+        if (result) {
+            const name = data.content?.slice(0, 50) || data.topic || data.title || result.record.id;
+            console.log(`${result.action === "inserted" ? "Inserted" : "Updated"} ${type}: ${name}`);
+            console.log(`ID: ${result.record.id}`);
+            console.log(`Action: ${result.action}`);
+        }
+        else {
+            console.error("Failed to upsert memory");
+            process.exit(1);
+        }
+    }
+    catch (error) {
+        console.error("Error:", error.message);
+        process.exit(1);
+    }
+});
+program
+    .command("add-key <id> <key>")
+    .description("Add a key to a memory")
+    .action(async (id, key) => {
+    if (await addKeys(id, [key])) {
+        console.log(`Added key "${key}" to ${id}`);
+    }
+    else {
+        console.error("Failed to add key");
+        process.exit(1);
+    }
+});
+program
+    .command("remove-key <id> <key>")
+    .description("Remove a key from a memory")
+    .action(async (id, key) => {
+    if (await removeKeys(id, [key])) {
+        console.log(`Removed key "${key}" from ${id}`);
+    }
+    else {
+        console.error("Failed to remove key");
+        process.exit(1);
+    }
+});
+// =============================================================================
 // Link Commands
@@ -191,2 +284,61 @@ // =============================================================================
 // =============================================================================
+// External Reference Commands
+// =============================================================================
+program
+    .command("ref <record_id> <system> <external_id>")
+    .description("Add an external reference to a record")
+    .option("--url <url>", "External URL (deep link)")
+    .action(async (recordId, system, externalId, options) => {
+    const result = await addExternalRef(recordId, system, externalId, {
+        url: options.url,
+    });
+    if (result) {
+        console.log(`Added ref: ${system}:${externalId} -> ${recordId}`);
+        if (options.url)
+            console.log(`URL: ${options.url}`);
+    }
+    else {
+        console.error("Failed to add external ref");
+        process.exit(1);
+    }
+});
+program
+    .command("refs <record_id>")
+    .description("List external references for a record")
+    .action(async (recordId) => {
+    const refs = await listExternalRefs(recordId);
+    if (refs.length === 0) {
+        console.log("No external references");
+        return;
+    }
+    for (const ref of refs) {
+        console.log(`${ref.system}:${ref.external_id}`);
+        if (ref.external_url)
+            console.log(`  URL: ${ref.external_url}`);
+        console.log(`  Synced: ${ref.last_synced_at}`);
+    }
+    console.log(`\n${refs.length} references`);
+});
+program
+    .command("find-ref <system> <external_id>")
+    .description("Find a record by external reference")
+    .action(async (system, externalId) => {
+    const result = await findByExternalRef(system, externalId);
+    if (result) {
+        const data = result.record.data;
+        const name = data.content?.slice(0, 50) ||
+            data.topic ||
+            data.title ||
+            data.name ||
+            result.record.id;
+        console.log(`Found: ${result.record.type}: ${name}`);
+        console.log(`ID: ${result.record.id}`);
+        console.log(JSON.stringify(result.record, null, 2));
+    }
+    else {
+        console.log(`No record found for ${system}:${externalId}`);
+        process.exit(1);
+    }
+});
+// =============================================================================
 // Search Commands
@@ -193,0 +345,0 @@ // =============================================================================

dist/cli.js.map

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dist/client.d.ts

@@ -7,3 +7,3 @@ /**
 import OpenAI from "openai";
-import type { MemRecord, MemRecordWithLinks, SearchResult, ContextResult, LinkedRecord, AddRecordOptions, UpdateRecordOptions, SearchOptions, ContextOptions, LinkedOptions } from "./types.js";
+import type { MemRecord, MemRecordWithLinks, ExternalRef, AddExternalRefOptions, SearchResult, ContextResult, LinkedRecord, AddRecordOptions, UpdateRecordOptions, SearchOptions, ContextOptions, LinkedOptions, UpsertResult } from "./types.js";
 export declare function getSupabase(): SupabaseClient;
@@ -92,2 +92,41 @@ export declare function getOpenAI(): OpenAI;
 /**
+ * Find a record by one of its keys
+ */
+export declare function findByKey(key: string): Promise<MemRecord | null>;
+/**
+ * Upsert a record by keys. If any key matches an existing record, update it.
+ * Otherwise insert a new record.
+ */
+export declare function upsertByKeys(type: string, data: Record<string, unknown>, keys: string[], options?: {
+    tags?: string[];
+    weight?: number;
+}): Promise<UpsertResult | null>;
+/**
+ * Add keys to an existing record
+ */
+export declare function addKeys(id: string, newKeys: string[]): Promise<boolean>;
+/**
+ * Remove keys from an existing record
+ */
+export declare function removeKeys(id: string, keysToRemove: string[]): Promise<boolean>;
+/**
+ * Add an external reference to a record
+ */
+export declare function addExternalRef(recordId: string, system: string, externalId: string, options?: AddExternalRefOptions): Promise<string | null>;
+/**
+ * Find a record by its external reference
+ */
+export declare function findByExternalRef(system: string, externalId: string): Promise<{
+    record: MemRecord;
+    ref: ExternalRef;
+} | null>;
+/**
+ * List all external references for a record
+ */
+export declare function listExternalRefs(recordId: string): Promise<ExternalRef[]>;
+/**
+ * Update the last_synced_at timestamp for an external ref
+ */
+export declare function touchExternalRef(system: string, externalId: string): Promise<boolean>;
+/**
  * Apply the database schema
@@ -94,0 +133,0 @@ */

dist/client.d.ts.map

@@ -1,1 +0,1 @@
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dist/client.js

@@ -84,3 +84,3 @@ /**
 export async function add(type, data, options = {}) {
-    const { tags, weight, generateEmbedding = true } = options;
+    const { tags, keys, weight, generateEmbedding = true } = options;
     const db = getSupabase();
@@ -92,2 +92,5 @@ const insertData = {
     };
+    if (keys?.length) {
+        insertData.keys = keys;
+    }
     if (weight !== undefined && weight >= 1 && weight <= 10) {
@@ -164,3 +167,3 @@ insertData.weight = weight;
 export async function update(id, data, options = {}) {
-    const { tags, regenerateEmbedding = true } = options;
+    const { tags, keys, regenerateEmbedding = true } = options;
     const db = getSupabase();
@@ -187,2 +190,5 @@ const existing = await get(id);
     }
+    if (keys !== undefined) {
+        updateData.keys = keys;
+    }
     if (Object.keys(updateData).length === 0) {
@@ -293,3 +299,42 @@ return existing;
     }
-    const results = data || [];
+    let results = data || [];
+    // Boost name matches for short queries (1-2 words) where hybrid search
+    // tends to drown out exact name hits with semantically similar records
+    const wordCount = query.trim().split(/\s+/).length;
+    if (wordCount <= 2 && query.length <= 30) {
+        const pattern = `%${query}%`;
+        let nameQuery = db
+            .from("mem_records")
+            .select("id, type, data, tags")
+            .or(`data->>name.ilike.${pattern},data->>title.ilike.${pattern},data->>topic.ilike.${pattern}`)
+            .eq("status", "active");
+        if (type) {
+            nameQuery = nameQuery.eq("type", type);
+        }
+        const { data: nameHits, error: nameError } = await nameQuery.limit(5);
+        if (nameError) {
+            console.error("Name boost query failed:", nameError.message);
+        }
+        if (nameHits && nameHits.length > 0) {
+            const resultIds = new Set(results.map((r) => r.id));
+            const boostScore = results.length > 0 ? results[0].combined_score + 0.01 : 1.0;
+            // Boost existing results that match by name
+            const nameHitIds = new Set(nameHits.map((h) => h.id));
+            const boosted = results.filter((r) => nameHitIds.has(r.id)).map((r) => ({ ...r, combined_score: boostScore }));
+            const rest = results.filter((r) => !nameHitIds.has(r.id));
+            // Add name hits not already in results
+            const newHits = nameHits
+                .filter((h) => !resultIds.has(h.id))
+                .map((h) => ({
+                id: h.id,
+                type: h.type,
+                data: h.data,
+                tags: h.tags,
+                fts_rank: 0,
+                semantic_rank: 0,
+                combined_score: boostScore,
+            }));
+            results = [...boosted, ...newHits, ...rest].slice(0, limit);
+        }
+    }
     // Track access for returned results
@@ -428,2 +473,182 @@ if (trackAccess && results.length > 0) {
 // =============================================================================
+// Key-Based Operations
+// =============================================================================
+/**
+ * Find a record by one of its keys
+ */
+export async function findByKey(key) {
+    const db = getSupabase();
+    const { data, error } = await db.rpc("mem_find_by_key", { p_key: key });
+    if (error) {
+        console.error("Error finding by key:", error);
+        return null;
+    }
+    if (!data || data.length === 0)
+        return null;
+    return data[0];
+}
+/**
+ * Upsert a record by keys. If any key matches an existing record, update it.
+ * Otherwise insert a new record.
+ */
+export async function upsertByKeys(type, data, keys, options = {}) {
+    const db = getSupabase();
+    const { tags, weight } = options;
+    // Generate embedding
+    let embedding = null;
+    if (hasOpenAI()) {
+        const searchableText = extractSearchableText(data);
+        if (searchableText) {
+            embedding = await getEmbedding(searchableText);
+        }
+    }
+    const { data: result, error } = await db.rpc("mem_upsert_by_keys", {
+        p_type: type,
+        p_data: data,
+        p_tags: tags || extractTags(data),
+        p_keys: keys,
+        p_weight: weight || null,
+        p_embedding: embedding,
+    });
+    if (error) {
+        console.error("Error upserting by keys:", error);
+        return null;
+    }
+    if (!result || result.length === 0)
+        return null;
+    const { id, action } = result[0];
+    const record = await get(id);
+    if (!record)
+        return null;
+    return { record, action };
+}
+/**
+ * Add keys to an existing record
+ */
+export async function addKeys(id, newKeys) {
+    const db = getSupabase();
+    const record = await get(id);
+    if (!record)
+        return false;
+    const existing = record.keys || [];
+    const merged = [...new Set([...existing, ...newKeys])];
+    const { error } = await db
+        .from("mem_records")
+        .update({ keys: merged })
+        .eq("id", id);
+    if (error) {
+        console.error("Error adding keys:", error);
+        return false;
+    }
+    return true;
+}
+/**
+ * Remove keys from an existing record
+ */
+export async function removeKeys(id, keysToRemove) {
+    const db = getSupabase();
+    const record = await get(id);
+    if (!record)
+        return false;
+    const existing = record.keys || [];
+    const removeSet = new Set(keysToRemove);
+    const filtered = existing.filter((k) => !removeSet.has(k));
+    const { error } = await db
+        .from("mem_records")
+        .update({ keys: filtered })
+        .eq("id", id);
+    if (error) {
+        console.error("Error removing keys:", error);
+        return false;
+    }
+    return true;
+}
+// =============================================================================
+// External References
+// =============================================================================
+/**
+ * Add an external reference to a record
+ */
+export async function addExternalRef(recordId, system, externalId, options = {}) {
+    const { url, metadata } = options;
+    const db = getSupabase();
+    const { data, error } = await db.rpc("mem_add_external_ref", {
+        p_record_id: recordId,
+        p_system: system,
+        p_external_id: externalId,
+        p_external_url: url || null,
+        p_metadata: metadata || {},
+    });
+    if (error) {
+        console.error("Error adding external ref:", error);
+        return null;
+    }
+    return data;
+}
+/**
+ * Find a record by its external reference
+ */
+export async function findByExternalRef(system, externalId) {
+    const db = getSupabase();
+    const { data, error } = await db.rpc("mem_find_by_external_ref", {
+        p_system: system,
+        p_external_id: externalId,
+    });
+    if (error) {
+        console.error("Error finding by external ref:", error);
+        return null;
+    }
+    if (!data || data.length === 0)
+        return null;
+    const row = data[0];
+    return {
+        record: {
+            id: row.id,
+            type: row.type,
+            data: row.data,
+            tags: row.tags,
+            weight: row.weight,
+            status: row.status,
+        },
+        ref: {
+            id: row.ref_id,
+            record_id: row.id,
+            system,
+            external_id: externalId,
+            external_url: row.external_url,
+            metadata: row.ref_metadata,
+            last_synced_at: row.last_synced_at,
+        },
+    };
+}
+/**
+ * List all external references for a record
+ */
+export async function listExternalRefs(recordId) {
+    const db = getSupabase();
+    const { data, error } = await db.rpc("mem_list_external_refs", {
+        p_record_id: recordId,
+    });
+    if (error) {
+        console.error("Error listing external refs:", error);
+        return [];
+    }
+    return (data || []).map((r) => ({
+        ...r,
+        record_id: recordId,
+    }));
+}
+/**
+ * Update the last_synced_at timestamp for an external ref
+ */
+export async function touchExternalRef(system, externalId) {
+    const db = getSupabase();
+    const { error } = await db
+        .from("mem_external_refs")
+        .update({ last_synced_at: new Date().toISOString() })
+        .eq("system", system)
+        .eq("external_id", externalId);
+    return !error;
+}
+// =============================================================================
 // Migration
@@ -430,0 +655,0 @@ // =============================================================================

dist/client.js.map

@@ -1,1 +0,1 @@
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dist/index.d.ts

@@ -7,5 +7,5 @@ /**
  */
-export { getSupabase, getOpenAI, hasOpenAI, add, get, list, update, remove, link, unlink, linked, search, ftsSearch, context, incrementAccess, archive, unarchive, flush, weight, migrate, getEmbedding, extractSearchableText, } from "./client.js";
-export type { MemRecord, MemRecordWithLinks, MemLink, SearchResult, ContextResult, LinkedRecord, AddRecordOptions, UpdateRecordOptions, SearchOptions, ContextOptions, LinkedOptions, } from "./types.js";
+export { getSupabase, getOpenAI, hasOpenAI, add, get, list, update, remove, link, unlink, linked, search, ftsSearch, context, incrementAccess, archive, unarchive, flush, weight, findByKey, upsertByKeys, addKeys, removeKeys, addExternalRef, findByExternalRef, listExternalRefs, touchExternalRef, migrate, getEmbedding, extractSearchableText, } from "./client.js";
+export type { MemRecord, MemRecordWithLinks, MemLink, ExternalRef, AddExternalRefOptions, SearchResult, ContextResult, LinkedRecord, UpsertResult, AddRecordOptions, UpdateRecordOptions, SearchOptions, ContextOptions, LinkedOptions, } from "./types.js";
 export { SCHEMA_VERSION, SCHEMA_SQL, VECTOR_INDEX_SQL, FUNCTIONS_SQL, getMigrationSQL, } from "./schema.js";
 //# sourceMappingURL=index.d.ts.map

dist/index.d.ts.map

@@ -1,1 +0,1 @@
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+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAGH,OAAO,EAEL,WAAW,EACX,SAAS,EACT,SAAS,EAGT,GAAG,EACH,GAAG,EACH,IAAI,EACJ,MAAM,EACN,MAAM,EAGN,IAAI,EACJ,MAAM,EACN,MAAM,EAGN,MAAM,EACN,SAAS,EAGT,OAAO,EACP,eAAe,EACf,OAAO,EACP,SAAS,EACT,KAAK,EACL,MAAM,EAGN,SAAS,EACT,YAAY,EACZ,OAAO,EACP,UAAU,EAGV,cAAc,EACd,iBAAiB,EACjB,gBAAgB,EAChB,gBAAgB,EAGhB,OAAO,EAGP,YAAY,EACZ,qBAAqB,GACtB,MAAM,aAAa,CAAC;AAGrB,YAAY,EACV,SAAS,EACT,kBAAkB,EAClB,OAAO,EACP,WAAW,EACX,qBAAqB,EACrB,YAAY,EACZ,aAAa,EACb,YAAY,EACZ,YAAY,EACZ,gBAAgB,EAChB,mBAAmB,EACnB,aAAa,EACb,cAAc,EACd,aAAa,GACd,MAAM,YAAY,CAAC;AAGpB,OAAO,EACL,cAAc,EACd,UAAU,EACV,gBAAgB,EAChB,aAAa,EACb,eAAe,GAChB,MAAM,aAAa,CAAC"}

dist/index.js

@@ -19,2 +19,6 @@ /**
 context, incrementAccess, archive, unarchive, flush, weight, 
+// Key-Based Operations
+findByKey, upsertByKeys, addKeys, removeKeys, 
+// External References
+addExternalRef, findByExternalRef, listExternalRefs, touchExternalRef, 
 // Migration
@@ -21,0 +25,0 @@ migrate,

dist/index.js.map

@@ -1,1 +0,1 @@
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+{"version":3,"file":"index.js","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAEH,wBAAwB;AACxB,OAAO;AACL,eAAe;AACf,WAAW,EACX,SAAS,EACT,SAAS;AAET,kBAAkB;AAClB,GAAG,EACH,GAAG,EACH,IAAI,EACJ,MAAM,EACN,MAAM;AAEN,kBAAkB;AAClB,IAAI,EACJ,MAAM,EACN,MAAM;AAEN,SAAS;AACT,MAAM,EACN,SAAS;AAET,sBAAsB;AACtB,OAAO,EACP,eAAe,EACf,OAAO,EACP,SAAS,EACT,KAAK,EACL,MAAM;AAEN,uBAAuB;AACvB,SAAS,EACT,YAAY,EACZ,OAAO,EACP,UAAU;AAEV,sBAAsB;AACtB,cAAc,EACd,iBAAiB,EACjB,gBAAgB,EAChB,gBAAgB;AAEhB,YAAY;AACZ,OAAO;AAEP,YAAY;AACZ,YAAY,EACZ,qBAAqB,GACtB,MAAM,aAAa,CAAC;AAoBrB,8BAA8B;AAC9B,OAAO,EACL,cAAc,EACd,UAAU,EACV,gBAAgB,EAChB,aAAa,EACb,eAAe,GAChB,MAAM,aAAa,CAAC"}

dist/schema.d.ts

@@ -9,7 +9,7 @@ /**
  */
-export declare const SCHEMA_VERSION = "1.0.0";
-export declare const SCHEMA_SQL = "\n-- =============================================================================\n-- Mem: Memory for AI Agents\n-- https://mem.now\n-- Version: 1.0.0\n-- =============================================================================\n\n-- Enable required extensions\nCREATE EXTENSION IF NOT EXISTS vector;\nCREATE EXTENSION IF NOT EXISTS pg_trgm;\n\n-- =============================================================================\n-- RECORDS: All memories\n-- =============================================================================\n\nCREATE TABLE IF NOT EXISTS mem_records (\n    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),\n    type TEXT NOT NULL,                    -- user-defined (note, decision, preference, etc.)\n    data JSONB NOT NULL,                   -- flexible structure\n    tags TEXT[],\n    embedding vector(1536),\n    searchable_text TEXT,\n    searchable tsvector GENERATED ALWAYS AS (\n        to_tsvector('english', COALESCE(searchable_text, ''))\n    ) STORED,\n\n    -- Relevance scoring\n    weight INTEGER NOT NULL DEFAULT 5 CHECK (weight BETWEEN 1 AND 10),\n    access_count INTEGER NOT NULL DEFAULT 0,\n    last_accessed_at TIMESTAMPTZ,\n    status TEXT NOT NULL DEFAULT 'active' CHECK (status IN ('active', 'archived')),\n\n    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),\n    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()\n);\n\n-- =============================================================================\n-- LINKS: Relationships between records\n-- =============================================================================\n\nCREATE TABLE IF NOT EXISTS mem_links (\n    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),\n    from_id UUID NOT NULL REFERENCES mem_records(id) ON DELETE CASCADE,\n    to_id UUID NOT NULL REFERENCES mem_records(id) ON DELETE CASCADE,\n    relation TEXT NOT NULL,\n    bidirectional BOOLEAN NOT NULL DEFAULT false,    -- true = traversable both ways\n    metadata JSONB,\n    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),\n    UNIQUE(from_id, to_id, relation)\n);\n\n-- =============================================================================\n-- INDEXES\n-- =============================================================================\n\nCREATE INDEX IF NOT EXISTS idx_mem_records_type ON mem_records(type);\nCREATE INDEX IF NOT EXISTS idx_mem_records_tags ON mem_records USING GIN(tags);\nCREATE INDEX IF NOT EXISTS idx_mem_records_data ON mem_records USING GIN(data);\nCREATE INDEX IF NOT EXISTS idx_mem_records_searchable ON mem_records USING GIN(searchable);\nCREATE INDEX IF NOT EXISTS idx_mem_records_status ON mem_records(status);\nCREATE INDEX IF NOT EXISTS idx_mem_records_relevance ON mem_records(\n    status, weight DESC, access_count DESC, last_accessed_at DESC NULLS LAST\n);\n\nCREATE INDEX IF NOT EXISTS idx_mem_links_from ON mem_links(from_id);\nCREATE INDEX IF NOT EXISTS idx_mem_links_to ON mem_links(to_id);\nCREATE INDEX IF NOT EXISTS idx_mem_links_relation ON mem_links(relation);\nCREATE INDEX IF NOT EXISTS idx_mem_links_from_relation ON mem_links(from_id, relation);\nCREATE INDEX IF NOT EXISTS idx_mem_links_to_relation ON mem_links(to_id, relation);\nCREATE INDEX IF NOT EXISTS idx_mem_links_bidirectional ON mem_links(bidirectional) WHERE bidirectional = true;\n\n-- =============================================================================\n-- SCHEMA METADATA\n-- =============================================================================\n\nCREATE TABLE IF NOT EXISTS mem_meta (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL,\n    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()\n);\n\nINSERT INTO mem_meta (key, value) VALUES ('version', '1.0.0')\nON CONFLICT (key) DO UPDATE SET value = '1.0.0', updated_at = NOW();\n";
+export declare const SCHEMA_VERSION = "1.2.0";
+export declare const SCHEMA_SQL = "\n-- =============================================================================\n-- Mem: Memory for AI Agents\n-- https://mem.now\n-- Version: 1.2.0\n-- =============================================================================\n\n-- Enable required extensions\nCREATE EXTENSION IF NOT EXISTS vector;\nCREATE EXTENSION IF NOT EXISTS pg_trgm;\n\n-- =============================================================================\n-- RECORDS: All memories\n-- =============================================================================\n\nCREATE TABLE IF NOT EXISTS mem_records (\n    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),\n    type TEXT NOT NULL,                    -- user-defined (note, decision, preference, etc.)\n    data JSONB NOT NULL,                   -- flexible structure\n    tags TEXT[],\n    keys TEXT[],\n    embedding vector(1536),\n    searchable_text TEXT,\n    searchable tsvector GENERATED ALWAYS AS (\n        to_tsvector('english', COALESCE(searchable_text, ''))\n    ) STORED,\n\n    -- Relevance scoring\n    weight INTEGER NOT NULL DEFAULT 5 CHECK (weight BETWEEN 1 AND 10),\n    access_count INTEGER NOT NULL DEFAULT 0,\n    last_accessed_at TIMESTAMPTZ,\n    status TEXT NOT NULL DEFAULT 'active' CHECK (status IN ('active', 'archived')),\n\n    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),\n    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()\n);\n\n-- =============================================================================\n-- LINKS: Relationships between records\n-- =============================================================================\n\nCREATE TABLE IF NOT EXISTS mem_links (\n    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),\n    from_id UUID NOT NULL REFERENCES mem_records(id) ON DELETE CASCADE,\n    to_id UUID NOT NULL REFERENCES mem_records(id) ON DELETE CASCADE,\n    relation TEXT NOT NULL,\n    bidirectional BOOLEAN NOT NULL DEFAULT false,    -- true = traversable both ways\n    metadata JSONB,\n    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),\n    UNIQUE(from_id, to_id, relation)\n);\n\n-- Upgrade path: add keys column if it doesn't exist\nALTER TABLE mem_records ADD COLUMN IF NOT EXISTS keys TEXT[];\n\n-- =============================================================================\n-- INDEXES\n-- =============================================================================\n\nCREATE INDEX IF NOT EXISTS idx_mem_records_type ON mem_records(type);\nCREATE INDEX IF NOT EXISTS idx_mem_records_keys ON mem_records USING GIN(keys);\nCREATE INDEX IF NOT EXISTS idx_mem_records_tags ON mem_records USING GIN(tags);\nCREATE INDEX IF NOT EXISTS idx_mem_records_data ON mem_records USING GIN(data);\nCREATE INDEX IF NOT EXISTS idx_mem_records_searchable ON mem_records USING GIN(searchable);\nCREATE INDEX IF NOT EXISTS idx_mem_records_status ON mem_records(status);\nCREATE INDEX IF NOT EXISTS idx_mem_records_relevance ON mem_records(\n    status, weight DESC, access_count DESC, last_accessed_at DESC NULLS LAST\n);\n\nCREATE INDEX IF NOT EXISTS idx_mem_links_from ON mem_links(from_id);\nCREATE INDEX IF NOT EXISTS idx_mem_links_to ON mem_links(to_id);\nCREATE INDEX IF NOT EXISTS idx_mem_links_relation ON mem_links(relation);\nCREATE INDEX IF NOT EXISTS idx_mem_links_from_relation ON mem_links(from_id, relation);\nCREATE INDEX IF NOT EXISTS idx_mem_links_to_relation ON mem_links(to_id, relation);\nCREATE INDEX IF NOT EXISTS idx_mem_links_bidirectional ON mem_links(bidirectional) WHERE bidirectional = true;\n\n-- =============================================================================\n-- EXTERNAL REFERENCES: Track where records came from\n-- =============================================================================\n\nCREATE TABLE IF NOT EXISTS mem_external_refs (\n    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),\n    record_id UUID NOT NULL REFERENCES mem_records(id) ON DELETE CASCADE,\n    system TEXT NOT NULL,\n    external_id TEXT NOT NULL,\n    external_url TEXT,\n    metadata JSONB DEFAULT '{}',\n    last_synced_at TIMESTAMPTZ DEFAULT NOW(),\n    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),\n    UNIQUE(record_id, system, external_id)\n);\n\nCREATE UNIQUE INDEX IF NOT EXISTS idx_mem_ext_refs_lookup ON mem_external_refs(system, external_id);\nCREATE INDEX IF NOT EXISTS idx_mem_ext_refs_record ON mem_external_refs(record_id);\n\n-- =============================================================================\n-- SCHEMA METADATA\n-- =============================================================================\n\nCREATE TABLE IF NOT EXISTS mem_meta (\n    key TEXT PRIMARY KEY,\n    value TEXT NOT NULL,\n    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()\n);\n\nINSERT INTO mem_meta (key, value) VALUES ('version', '1.2.0')\nON CONFLICT (key) DO UPDATE SET value = '1.2.0', updated_at = NOW();\n";
 export declare const VECTOR_INDEX_SQL = "\nDO $$\nBEGIN\n    IF NOT EXISTS (SELECT 1 FROM pg_indexes WHERE indexname = 'idx_mem_records_embedding') THEN\n        CREATE INDEX idx_mem_records_embedding ON mem_records USING hnsw(embedding vector_cosine_ops);\n    END IF;\nEND $$;\n";
-export declare const FUNCTIONS_SQL = "\n-- =============================================================================\n-- HYBRID SEARCH\n-- Combines semantic similarity with full-text search using RRF\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_hybrid_search(\n    query_text TEXT,\n    query_embedding vector(1536),\n    match_count INT DEFAULT 10,\n    filter_type TEXT DEFAULT NULL,\n    full_text_weight FLOAT DEFAULT 0.3,\n    semantic_weight FLOAT DEFAULT 0.7,\n    rrf_k INT DEFAULT 50,\n    include_archived BOOLEAN DEFAULT FALSE\n)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    tags TEXT[],\n    fts_rank FLOAT,\n    semantic_rank FLOAT,\n    combined_score FLOAT\n)\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    RETURN QUERY\n    WITH fts_results AS (\n        SELECT\n            r.id,\n            ROW_NUMBER() OVER (ORDER BY ts_rank_cd(r.searchable, websearch_to_tsquery('english', query_text)) DESC) AS rank\n        FROM mem_records r\n        WHERE r.searchable @@ websearch_to_tsquery('english', query_text)\n        AND (filter_type IS NULL OR r.type = filter_type)\n        AND (include_archived OR r.status = 'active')\n        LIMIT match_count * 2\n    ),\n    semantic_results AS (\n        SELECT\n            r.id,\n            ROW_NUMBER() OVER (ORDER BY r.embedding <=> query_embedding) AS rank\n        FROM mem_records r\n        WHERE r.embedding IS NOT NULL\n        AND (filter_type IS NULL OR r.type = filter_type)\n        AND (include_archived OR r.status = 'active')\n        ORDER BY r.embedding <=> query_embedding\n        LIMIT match_count * 2\n    ),\n    combined AS (\n        SELECT\n            COALESCE(fts.id, sem.id) AS id,\n            COALESCE(1.0 / (rrf_k + fts.rank), 0.0) AS fts_score,\n            COALESCE(1.0 / (rrf_k + sem.rank), 0.0) AS sem_score\n        FROM fts_results fts\n        FULL OUTER JOIN semantic_results sem ON fts.id = sem.id\n    )\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        r.tags,\n        c.fts_score::FLOAT AS fts_rank,\n        c.sem_score::FLOAT AS semantic_rank,\n        (c.fts_score * full_text_weight + c.sem_score * semantic_weight)::FLOAT AS combined_score\n    FROM combined c\n    JOIN mem_records r ON r.id = c.id\n    ORDER BY (c.fts_score * full_text_weight + c.sem_score * semantic_weight) DESC\n    LIMIT match_count;\nEND;\n$$;\n\n-- =============================================================================\n-- RELEVANCE SCORING\n-- Combines: weight (40%), access frequency (30%), recency (30%)\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_calculate_relevance(\n    p_weight INTEGER,\n    p_access_count INTEGER,\n    p_last_accessed_at TIMESTAMPTZ,\n    p_created_at TIMESTAMPTZ,\n    max_access_count INTEGER DEFAULT 100\n)\nRETURNS FLOAT\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    weight_score FLOAT;\n    access_score FLOAT;\n    recency_score FLOAT;\n    days_since_access FLOAT;\nBEGIN\n    -- Normalize weight to 0-1 (weight is 1-10)\n    weight_score := (p_weight - 1) / 9.0;\n\n    -- Normalize access count to 0-1 (capped at max_access_count)\n    access_score := LEAST(p_access_count::FLOAT / max_access_count, 1.0);\n\n    -- Calculate recency score (1.0 for today, decays over 30 days to 0.1)\n    IF p_last_accessed_at IS NOT NULL THEN\n        days_since_access := EXTRACT(EPOCH FROM (NOW() - p_last_accessed_at)) / 86400.0;\n        recency_score := GREATEST(1.0 - (days_since_access / 30.0) * 0.9, 0.1);\n    ELSE\n        -- Never accessed, use created_at with lower base score\n        days_since_access := EXTRACT(EPOCH FROM (NOW() - p_created_at)) / 86400.0;\n        recency_score := GREATEST(0.5 - (days_since_access / 60.0) * 0.4, 0.1);\n    END IF;\n\n    -- Combine scores: weight 40%, access 30%, recency 30%\n    RETURN (weight_score * 0.4) + (access_score * 0.3) + (recency_score * 0.3);\nEND;\n$$;\n\n-- =============================================================================\n-- CONTEXT: Get most relevant records for startup\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_get_context(\n    match_count INT DEFAULT 20,\n    filter_types TEXT[] DEFAULT NULL\n)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    tags TEXT[],\n    weight INTEGER,\n    access_count INTEGER,\n    relevance_score FLOAT\n)\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    RETURN QUERY\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        r.tags,\n        r.weight,\n        r.access_count,\n        mem_calculate_relevance(r.weight, r.access_count, r.last_accessed_at, r.created_at)::FLOAT AS relevance_score\n    FROM mem_records r\n    WHERE r.status = 'active'\n    AND (filter_types IS NULL OR r.type = ANY(filter_types))\n    ORDER BY mem_calculate_relevance(r.weight, r.access_count, r.last_accessed_at, r.created_at) DESC\n    LIMIT match_count;\nEND;\n$$;\n\n-- =============================================================================\n-- ACCESS TRACKING\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_increment_access(record_ids UUID[])\nRETURNS VOID\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    UPDATE mem_records\n    SET\n        access_count = access_count + 1,\n        last_accessed_at = NOW()\n    WHERE id = ANY(record_ids);\nEND;\n$$;\n\n-- =============================================================================\n-- ARCHIVE / UNARCHIVE\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_archive(record_ids UUID[])\nRETURNS INTEGER\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    affected INTEGER;\nBEGIN\n    UPDATE mem_records\n    SET status = 'archived', updated_at = NOW()\n    WHERE id = ANY(record_ids) AND status = 'active';\n    GET DIAGNOSTICS affected = ROW_COUNT;\n    RETURN affected;\nEND;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_unarchive(record_ids UUID[])\nRETURNS INTEGER\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    affected INTEGER;\nBEGIN\n    UPDATE mem_records\n    SET status = 'active', updated_at = NOW()\n    WHERE id = ANY(record_ids) AND status = 'archived';\n    GET DIAGNOSTICS affected = ROW_COUNT;\n    RETURN affected;\nEND;\n$$;\n\n-- =============================================================================\n-- FLUSH: Reset access count\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_flush(record_ids UUID[])\nRETURNS INTEGER\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    affected INTEGER;\nBEGIN\n    UPDATE mem_records\n    SET\n        access_count = 0,\n        last_accessed_at = NULL,\n        updated_at = NOW()\n    WHERE id = ANY(record_ids);\n    GET DIAGNOSTICS affected = ROW_COUNT;\n    RETURN affected;\nEND;\n$$;\n\n-- =============================================================================\n-- GRAPH TRAVERSAL\n-- Respects bidirectional flag\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_get_record_with_links(record_id UUID)\nRETURNS JSONB\nLANGUAGE sql\nAS $$\n    SELECT jsonb_build_object(\n        'id', r.id,\n        'type', r.type,\n        'data', r.data,\n        'tags', r.tags,\n        'weight', r.weight,\n        'access_count', r.access_count,\n        'status', r.status,\n        'created_at', r.created_at,\n        'updated_at', r.updated_at,\n        'outgoing', COALESCE((\n            SELECT jsonb_agg(jsonb_build_object(\n                'relation', l.relation,\n                'bidirectional', l.bidirectional,\n                'metadata', l.metadata,\n                'record', jsonb_build_object(\n                    'id', linked.id,\n                    'type', linked.type,\n                    'data', linked.data\n                )\n            ))\n            FROM mem_links l\n            JOIN mem_records linked ON linked.id = l.to_id\n            WHERE l.from_id = r.id\n        ), '[]'::jsonb),\n        'incoming', COALESCE((\n            SELECT jsonb_agg(jsonb_build_object(\n                'relation', l.relation,\n                'bidirectional', l.bidirectional,\n                'metadata', l.metadata,\n                'record', jsonb_build_object(\n                    'id', linked.id,\n                    'type', linked.type,\n                    'data', linked.data\n                )\n            ))\n            FROM mem_links l\n            JOIN mem_records linked ON linked.id = l.from_id\n            WHERE l.to_id = r.id\n        ), '[]'::jsonb)\n    )\n    FROM mem_records r\n    WHERE r.id = record_id;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_get_linked(\n    record_id UUID,\n    relation_type TEXT DEFAULT NULL,\n    direction TEXT DEFAULT 'outgoing'\n)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    relation TEXT,\n    bidirectional BOOLEAN,\n    link_metadata JSONB\n)\nLANGUAGE sql\nAS $$\n    -- Outgoing links (from this record to others)\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        l.relation,\n        l.bidirectional,\n        l.metadata\n    FROM mem_links l\n    JOIN mem_records r ON r.id = l.to_id\n    WHERE l.from_id = record_id\n    AND (relation_type IS NULL OR l.relation = relation_type)\n    AND (direction = 'outgoing' OR direction = 'both')\n\n    UNION ALL\n\n    -- Incoming links (from others to this record)\n    -- Only include if bidirectional=true OR direction includes incoming\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        l.relation,\n        l.bidirectional,\n        l.metadata\n    FROM mem_links l\n    JOIN mem_records r ON r.id = l.from_id\n    WHERE l.to_id = record_id\n    AND (relation_type IS NULL OR l.relation = relation_type)\n    AND (\n        direction = 'incoming'\n        OR direction = 'both'\n        OR l.bidirectional = true\n    );\n$$;\n\n-- =============================================================================\n-- LINK OPERATIONS\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_create_link(\n    from_record_id UUID,\n    to_record_id UUID,\n    relation_type TEXT,\n    is_bidirectional BOOLEAN DEFAULT false,\n    link_metadata JSONB DEFAULT NULL\n)\nRETURNS UUID\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    link_id UUID;\nBEGIN\n    INSERT INTO mem_links (from_id, to_id, relation, bidirectional, metadata)\n    VALUES (from_record_id, to_record_id, relation_type, is_bidirectional, link_metadata)\n    ON CONFLICT (from_id, to_id, relation) DO UPDATE\n    SET bidirectional = is_bidirectional,\n        metadata = COALESCE(link_metadata, mem_links.metadata)\n    RETURNING id INTO link_id;\n    RETURN link_id;\nEND;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_remove_link(\n    from_record_id UUID,\n    to_record_id UUID,\n    relation_type TEXT\n)\nRETURNS BOOLEAN\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    DELETE FROM mem_links\n    WHERE from_id = from_record_id\n    AND to_id = to_record_id\n    AND relation = relation_type;\n    RETURN FOUND;\nEND;\n$$;\n\n-- =============================================================================\n-- TRIGGERS\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_extract_searchable_text(record_type TEXT, record_data JSONB)\nRETURNS TEXT\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    -- Generic extraction: concatenate all string values\n    RETURN (SELECT string_agg(value::TEXT, ' ')\n            FROM jsonb_each_text(record_data)\n            WHERE value IS NOT NULL AND value != '');\nEND;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_records_trigger()\nRETURNS TRIGGER\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    NEW.searchable_text := mem_extract_searchable_text(NEW.type, NEW.data);\n    NEW.updated_at := NOW();\n    RETURN NEW;\nEND;\n$$;\n\nDROP TRIGGER IF EXISTS mem_records_before_upsert ON mem_records;\nCREATE TRIGGER mem_records_before_upsert\nBEFORE INSERT OR UPDATE ON mem_records\nFOR EACH ROW\nEXECUTE FUNCTION mem_records_trigger();\n";
+export declare const FUNCTIONS_SQL = "\n-- =============================================================================\n-- HYBRID SEARCH\n-- Combines semantic similarity with full-text search using RRF\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_hybrid_search(\n    query_text TEXT,\n    query_embedding vector(1536),\n    match_count INT DEFAULT 10,\n    filter_type TEXT DEFAULT NULL,\n    full_text_weight FLOAT DEFAULT 0.3,\n    semantic_weight FLOAT DEFAULT 0.7,\n    rrf_k INT DEFAULT 50,\n    include_archived BOOLEAN DEFAULT FALSE\n)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    tags TEXT[],\n    fts_rank FLOAT,\n    semantic_rank FLOAT,\n    combined_score FLOAT\n)\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    RETURN QUERY\n    WITH fts_results AS (\n        SELECT\n            r.id,\n            ROW_NUMBER() OVER (ORDER BY ts_rank_cd(r.searchable, websearch_to_tsquery('english', query_text)) DESC) AS rank\n        FROM mem_records r\n        WHERE r.searchable @@ websearch_to_tsquery('english', query_text)\n        AND (filter_type IS NULL OR r.type = filter_type)\n        AND (include_archived OR r.status = 'active')\n        LIMIT match_count * 2\n    ),\n    semantic_results AS (\n        SELECT\n            r.id,\n            ROW_NUMBER() OVER (ORDER BY r.embedding <=> query_embedding) AS rank\n        FROM mem_records r\n        WHERE r.embedding IS NOT NULL\n        AND (filter_type IS NULL OR r.type = filter_type)\n        AND (include_archived OR r.status = 'active')\n        ORDER BY r.embedding <=> query_embedding\n        LIMIT match_count * 2\n    ),\n    combined AS (\n        SELECT\n            COALESCE(fts.id, sem.id) AS id,\n            COALESCE(1.0 / (rrf_k + fts.rank), 0.0) AS fts_score,\n            COALESCE(1.0 / (rrf_k + sem.rank), 0.0) AS sem_score\n        FROM fts_results fts\n        FULL OUTER JOIN semantic_results sem ON fts.id = sem.id\n    )\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        r.tags,\n        c.fts_score::FLOAT AS fts_rank,\n        c.sem_score::FLOAT AS semantic_rank,\n        (c.fts_score * full_text_weight + c.sem_score * semantic_weight)::FLOAT AS combined_score\n    FROM combined c\n    JOIN mem_records r ON r.id = c.id\n    ORDER BY (c.fts_score * full_text_weight + c.sem_score * semantic_weight) DESC\n    LIMIT match_count;\nEND;\n$$;\n\n-- =============================================================================\n-- RELEVANCE SCORING\n-- Combines: weight (40%), access frequency (30%), recency (30%)\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_calculate_relevance(\n    p_weight INTEGER,\n    p_access_count INTEGER,\n    p_last_accessed_at TIMESTAMPTZ,\n    p_created_at TIMESTAMPTZ,\n    max_access_count INTEGER DEFAULT 100\n)\nRETURNS FLOAT\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    weight_score FLOAT;\n    access_score FLOAT;\n    recency_score FLOAT;\n    days_since_access FLOAT;\nBEGIN\n    -- Normalize weight to 0-1 (weight is 1-10)\n    weight_score := (p_weight - 1) / 9.0;\n\n    -- Normalize access count to 0-1 (capped at max_access_count)\n    access_score := LEAST(p_access_count::FLOAT / max_access_count, 1.0);\n\n    -- Calculate recency score (1.0 for today, decays over 30 days to 0.1)\n    IF p_last_accessed_at IS NOT NULL THEN\n        days_since_access := EXTRACT(EPOCH FROM (NOW() - p_last_accessed_at)) / 86400.0;\n        recency_score := GREATEST(1.0 - (days_since_access / 30.0) * 0.9, 0.1);\n    ELSE\n        -- Never accessed, use created_at with lower base score\n        days_since_access := EXTRACT(EPOCH FROM (NOW() - p_created_at)) / 86400.0;\n        recency_score := GREATEST(0.5 - (days_since_access / 60.0) * 0.4, 0.1);\n    END IF;\n\n    -- Combine scores: weight 40%, access 30%, recency 30%\n    RETURN (weight_score * 0.4) + (access_score * 0.3) + (recency_score * 0.3);\nEND;\n$$;\n\n-- =============================================================================\n-- CONTEXT: Get most relevant records for startup\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_get_context(\n    match_count INT DEFAULT 20,\n    filter_types TEXT[] DEFAULT NULL\n)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    tags TEXT[],\n    keys TEXT[],\n    weight INTEGER,\n    access_count INTEGER,\n    relevance_score FLOAT\n)\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    RETURN QUERY\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        r.tags,\n        r.keys,\n        r.weight,\n        r.access_count,\n        mem_calculate_relevance(r.weight, r.access_count, r.last_accessed_at, r.created_at)::FLOAT AS relevance_score\n    FROM mem_records r\n    WHERE r.status = 'active'\n    AND (filter_types IS NULL OR r.type = ANY(filter_types))\n    ORDER BY mem_calculate_relevance(r.weight, r.access_count, r.last_accessed_at, r.created_at) DESC\n    LIMIT match_count;\nEND;\n$$;\n\n-- =============================================================================\n-- ACCESS TRACKING\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_increment_access(record_ids UUID[])\nRETURNS VOID\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    UPDATE mem_records\n    SET\n        access_count = access_count + 1,\n        last_accessed_at = NOW()\n    WHERE id = ANY(record_ids);\nEND;\n$$;\n\n-- =============================================================================\n-- ARCHIVE / UNARCHIVE\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_archive(record_ids UUID[])\nRETURNS INTEGER\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    affected INTEGER;\nBEGIN\n    UPDATE mem_records\n    SET status = 'archived', updated_at = NOW()\n    WHERE id = ANY(record_ids) AND status = 'active';\n    GET DIAGNOSTICS affected = ROW_COUNT;\n    RETURN affected;\nEND;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_unarchive(record_ids UUID[])\nRETURNS INTEGER\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    affected INTEGER;\nBEGIN\n    UPDATE mem_records\n    SET status = 'active', updated_at = NOW()\n    WHERE id = ANY(record_ids) AND status = 'archived';\n    GET DIAGNOSTICS affected = ROW_COUNT;\n    RETURN affected;\nEND;\n$$;\n\n-- =============================================================================\n-- FLUSH: Reset access count\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_flush(record_ids UUID[])\nRETURNS INTEGER\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    affected INTEGER;\nBEGIN\n    UPDATE mem_records\n    SET\n        access_count = 0,\n        last_accessed_at = NULL,\n        updated_at = NOW()\n    WHERE id = ANY(record_ids);\n    GET DIAGNOSTICS affected = ROW_COUNT;\n    RETURN affected;\nEND;\n$$;\n\n-- =============================================================================\n-- GRAPH TRAVERSAL\n-- Respects bidirectional flag\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_get_record_with_links(record_id UUID)\nRETURNS JSONB\nLANGUAGE sql\nAS $$\n    SELECT jsonb_build_object(\n        'id', r.id,\n        'type', r.type,\n        'data', r.data,\n        'tags', r.tags,\n        'keys', r.keys,\n        'weight', r.weight,\n        'access_count', r.access_count,\n        'status', r.status,\n        'created_at', r.created_at,\n        'updated_at', r.updated_at,\n        'outgoing', COALESCE((\n            SELECT jsonb_agg(jsonb_build_object(\n                'relation', l.relation,\n                'bidirectional', l.bidirectional,\n                'metadata', l.metadata,\n                'record', jsonb_build_object(\n                    'id', linked.id,\n                    'type', linked.type,\n                    'data', linked.data\n                )\n            ))\n            FROM mem_links l\n            JOIN mem_records linked ON linked.id = l.to_id\n            WHERE l.from_id = r.id\n        ), '[]'::jsonb),\n        'incoming', COALESCE((\n            SELECT jsonb_agg(jsonb_build_object(\n                'relation', l.relation,\n                'bidirectional', l.bidirectional,\n                'metadata', l.metadata,\n                'record', jsonb_build_object(\n                    'id', linked.id,\n                    'type', linked.type,\n                    'data', linked.data\n                )\n            ))\n            FROM mem_links l\n            JOIN mem_records linked ON linked.id = l.from_id\n            WHERE l.to_id = r.id\n        ), '[]'::jsonb)\n    )\n    FROM mem_records r\n    WHERE r.id = record_id;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_get_linked(\n    record_id UUID,\n    relation_type TEXT DEFAULT NULL,\n    direction TEXT DEFAULT 'outgoing'\n)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    relation TEXT,\n    bidirectional BOOLEAN,\n    link_metadata JSONB\n)\nLANGUAGE sql\nAS $$\n    -- Outgoing links (from this record to others)\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        l.relation,\n        l.bidirectional,\n        l.metadata\n    FROM mem_links l\n    JOIN mem_records r ON r.id = l.to_id\n    WHERE l.from_id = record_id\n    AND (relation_type IS NULL OR l.relation = relation_type)\n    AND (direction = 'outgoing' OR direction = 'both')\n\n    UNION ALL\n\n    -- Incoming links (from others to this record)\n    -- Only include if bidirectional=true OR direction includes incoming\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        l.relation,\n        l.bidirectional,\n        l.metadata\n    FROM mem_links l\n    JOIN mem_records r ON r.id = l.from_id\n    WHERE l.to_id = record_id\n    AND (relation_type IS NULL OR l.relation = relation_type)\n    AND (\n        direction = 'incoming'\n        OR direction = 'both'\n        OR l.bidirectional = true\n    );\n$$;\n\n-- =============================================================================\n-- LINK OPERATIONS\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_create_link(\n    from_record_id UUID,\n    to_record_id UUID,\n    relation_type TEXT,\n    is_bidirectional BOOLEAN DEFAULT false,\n    link_metadata JSONB DEFAULT NULL\n)\nRETURNS UUID\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    link_id UUID;\nBEGIN\n    INSERT INTO mem_links (from_id, to_id, relation, bidirectional, metadata)\n    VALUES (from_record_id, to_record_id, relation_type, is_bidirectional, link_metadata)\n    ON CONFLICT (from_id, to_id, relation) DO UPDATE\n    SET bidirectional = is_bidirectional,\n        metadata = COALESCE(link_metadata, mem_links.metadata)\n    RETURNING id INTO link_id;\n    RETURN link_id;\nEND;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_remove_link(\n    from_record_id UUID,\n    to_record_id UUID,\n    relation_type TEXT\n)\nRETURNS BOOLEAN\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    DELETE FROM mem_links\n    WHERE from_id = from_record_id\n    AND to_id = to_record_id\n    AND relation = relation_type;\n    RETURN FOUND;\nEND;\n$$;\n\n-- =============================================================================\n-- EXTERNAL REFERENCES\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_add_external_ref(\n    p_record_id UUID,\n    p_system TEXT,\n    p_external_id TEXT,\n    p_external_url TEXT DEFAULT NULL,\n    p_metadata JSONB DEFAULT '{}'\n)\nRETURNS UUID\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    ref_id UUID;\nBEGIN\n    INSERT INTO mem_external_refs (record_id, system, external_id, external_url, metadata)\n    VALUES (p_record_id, p_system, p_external_id, p_external_url, p_metadata)\n    ON CONFLICT (record_id, system, external_id) DO UPDATE\n    SET external_url = COALESCE(p_external_url, mem_external_refs.external_url),\n        metadata = COALESCE(p_metadata, mem_external_refs.metadata),\n        last_synced_at = NOW()\n    RETURNING id INTO ref_id;\n    RETURN ref_id;\nEND;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_find_by_external_ref(\n    p_system TEXT,\n    p_external_id TEXT\n)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    tags TEXT[],\n    weight INTEGER,\n    status TEXT,\n    ref_id UUID,\n    external_url TEXT,\n    ref_metadata JSONB,\n    last_synced_at TIMESTAMPTZ\n)\nLANGUAGE sql\nAS $$\n    SELECT\n        r.id,\n        r.type,\n        r.data,\n        r.tags,\n        r.weight,\n        r.status,\n        e.id AS ref_id,\n        e.external_url,\n        e.metadata AS ref_metadata,\n        e.last_synced_at\n    FROM mem_external_refs e\n    JOIN mem_records r ON r.id = e.record_id\n    WHERE e.system = p_system AND e.external_id = p_external_id;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_list_external_refs(p_record_id UUID)\nRETURNS TABLE (\n    id UUID,\n    system TEXT,\n    external_id TEXT,\n    external_url TEXT,\n    metadata JSONB,\n    last_synced_at TIMESTAMPTZ,\n    created_at TIMESTAMPTZ\n)\nLANGUAGE sql\nAS $$\n    SELECT id, system, external_id, external_url, metadata, last_synced_at, created_at\n    FROM mem_external_refs\n    WHERE record_id = p_record_id\n    ORDER BY created_at;\n$$;\n\n-- =============================================================================\n-- KEY-BASED LOOKUP AND UPSERT\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_enforce_key_uniqueness()\nRETURNS TRIGGER\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    conflicting_id UUID;\nBEGIN\n    IF NEW.keys IS NULL THEN\n        RETURN NEW;\n    END IF;\n\n    SELECT id INTO conflicting_id\n    FROM mem_records\n    WHERE keys && NEW.keys AND id != NEW.id\n    LIMIT 1;\n\n    IF conflicting_id IS NOT NULL THEN\n        RAISE EXCEPTION 'Key conflict: one or more keys in % already exist on record %',\n            NEW.keys, conflicting_id\n            USING ERRCODE = 'unique_violation';\n    END IF;\n\n    RETURN NEW;\nEND;\n$$;\n\nDROP TRIGGER IF EXISTS mem_enforce_key_uniqueness_trigger ON mem_records;\nCREATE TRIGGER mem_enforce_key_uniqueness_trigger\nBEFORE INSERT OR UPDATE ON mem_records\nFOR EACH ROW\nEXECUTE FUNCTION mem_enforce_key_uniqueness();\n\nCREATE OR REPLACE FUNCTION mem_find_by_key(p_key TEXT)\nRETURNS TABLE (\n    id UUID,\n    type TEXT,\n    data JSONB,\n    tags TEXT[],\n    keys TEXT[],\n    weight INTEGER,\n    access_count INTEGER,\n    status TEXT,\n    created_at TIMESTAMPTZ,\n    updated_at TIMESTAMPTZ\n)\nLANGUAGE sql\nAS $$\n    SELECT r.id, r.type, r.data, r.tags, r.keys, r.weight, r.access_count,\n           r.status, r.created_at, r.updated_at\n    FROM mem_records r\n    WHERE r.keys @> ARRAY[p_key];\n$$;\n\nCREATE OR REPLACE FUNCTION mem_upsert_by_keys(\n    p_type TEXT,\n    p_data JSONB,\n    p_tags TEXT[],\n    p_keys TEXT[],\n    p_weight INTEGER DEFAULT NULL,\n    p_embedding vector(1536) DEFAULT NULL\n)\nRETURNS TABLE (id UUID, action TEXT)\nLANGUAGE plpgsql\nAS $$\nDECLARE\n    existing_id UUID;\n    result_id UUID;\n    result_action TEXT;\nBEGIN\n    -- Find existing record by key overlap\n    SELECT r.id INTO existing_id\n    FROM mem_records r\n    WHERE r.keys && p_keys\n    LIMIT 1;\n\n    IF existing_id IS NOT NULL THEN\n        -- Update: merge data, union tags and keys\n        UPDATE mem_records r\n        SET data = r.data || p_data,\n            tags = (SELECT ARRAY(SELECT DISTINCT unnest FROM unnest(COALESCE(r.tags, '{}') || COALESCE(p_tags, '{}')))),\n            keys = (SELECT ARRAY(SELECT DISTINCT unnest FROM unnest(COALESCE(r.keys, '{}') || COALESCE(p_keys, '{}')))),\n            weight = COALESCE(p_weight, r.weight),\n            embedding = COALESCE(p_embedding, r.embedding)\n        WHERE r.id = existing_id;\n\n        result_id := existing_id;\n        result_action := 'updated';\n    ELSE\n        -- Insert new record\n        INSERT INTO mem_records (type, data, tags, keys, weight, embedding)\n        VALUES (\n            p_type,\n            p_data,\n            p_tags,\n            p_keys,\n            COALESCE(p_weight, 5),\n            p_embedding\n        )\n        RETURNING mem_records.id INTO result_id;\n\n        result_action := 'inserted';\n    END IF;\n\n    RETURN QUERY SELECT result_id, result_action;\nEND;\n$$;\n\n-- =============================================================================\n-- TRIGGERS\n-- =============================================================================\n\nCREATE OR REPLACE FUNCTION mem_extract_searchable_text(record_type TEXT, record_data JSONB)\nRETURNS TEXT\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    -- Generic extraction: concatenate all string values\n    RETURN (SELECT string_agg(value::TEXT, ' ')\n            FROM jsonb_each_text(record_data)\n            WHERE value IS NOT NULL AND value != '');\nEND;\n$$;\n\nCREATE OR REPLACE FUNCTION mem_records_trigger()\nRETURNS TRIGGER\nLANGUAGE plpgsql\nAS $$\nBEGIN\n    NEW.searchable_text := mem_extract_searchable_text(NEW.type, NEW.data);\n    NEW.updated_at := NOW();\n    RETURN NEW;\nEND;\n$$;\n\nDROP TRIGGER IF EXISTS mem_records_before_upsert ON mem_records;\nCREATE TRIGGER mem_records_before_upsert\nBEFORE INSERT OR UPDATE ON mem_records\nFOR EACH ROW\nEXECUTE FUNCTION mem_records_trigger();\n";
 export declare function getMigrationSQL(): string;
 //# sourceMappingURL=schema.d.ts.map

dist/schema.d.ts.map

@@ -1,1 +0,1 @@
-{"version":3,"file":"schema.d.ts","sourceRoot":"","sources":["../src/schema.ts"],"names":[],"mappings":"AAAA;;;;;;;GAOG;AAEH,eAAO,MAAM,cAAc,UAAU,CAAC;AAEtC,eAAO,MAAM,UAAU,0qHAmFtB,CAAC;AAGF,eAAO,MAAM,gBAAgB,oPAO5B,CAAC;AAEF,eAAO,MAAM,aAAa,k6XAsZzB,CAAC;AAGF,wBAAgB,eAAe,IAAI,MAAM,CAExC"}
+{"version":3,"file":"schema.d.ts","sourceRoot":"","sources":["../src/schema.ts"],"names":[],"mappings":"AAAA;;;;;;;GAOG;AAEH,eAAO,MAAM,cAAc,UAAU,CAAC;AAEtC,eAAO,MAAM,UAAU,utJA2GtB,CAAC;AAGF,eAAO,MAAM,gBAAgB,oPAO5B,CAAC;AAEF,eAAO,MAAM,aAAa,qjiBAwlBzB,CAAC;AAGF,wBAAgB,eAAe,IAAI,MAAM,CAExC"}

dist/schema.js

@@ -9,3 +9,3 @@ /**
  */
-export const SCHEMA_VERSION = "1.0.0";
+export const SCHEMA_VERSION = "1.2.0";
 export const SCHEMA_SQL = `
@@ -31,2 +31,3 @@ -- =============================================================================
     tags TEXT[],
+    keys TEXT[],
     embedding vector(1536),
@@ -63,2 +64,5 @@ searchable_text TEXT,
 
+-- Upgrade path: add keys column if it doesn't exist
+ALTER TABLE mem_records ADD COLUMN IF NOT EXISTS keys TEXT[];
+
 -- =============================================================================
@@ -69,2 +73,3 @@ -- INDEXES
 CREATE INDEX IF NOT EXISTS idx_mem_records_type ON mem_records(type);
+CREATE INDEX IF NOT EXISTS idx_mem_records_keys ON mem_records USING GIN(keys);
 CREATE INDEX IF NOT EXISTS idx_mem_records_tags ON mem_records USING GIN(tags);
@@ -86,2 +91,21 @@ CREATE INDEX IF NOT EXISTS idx_mem_records_data ON mem_records USING GIN(data);
 -- =============================================================================
+-- EXTERNAL REFERENCES: Track where records came from
+-- =============================================================================
+
+CREATE TABLE IF NOT EXISTS mem_external_refs (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    record_id UUID NOT NULL REFERENCES mem_records(id) ON DELETE CASCADE,
+    system TEXT NOT NULL,
+    external_id TEXT NOT NULL,
+    external_url TEXT,
+    metadata JSONB DEFAULT '{}',
+    last_synced_at TIMESTAMPTZ DEFAULT NOW(),
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    UNIQUE(record_id, system, external_id)
+);
+
+CREATE UNIQUE INDEX IF NOT EXISTS idx_mem_ext_refs_lookup ON mem_external_refs(system, external_id);
+CREATE INDEX IF NOT EXISTS idx_mem_ext_refs_record ON mem_external_refs(record_id);
+
+-- =============================================================================
 -- SCHEMA METADATA
@@ -236,2 +260,3 @@ -- =============================================================================
     tags TEXT[],
+    keys TEXT[],
     weight INTEGER,
@@ -250,2 +275,3 @@ access_count INTEGER,
         r.tags,
+        r.keys,
         r.weight,
@@ -349,2 +375,3 @@ r.access_count,
         'tags', r.tags,
+        'keys', r.keys,
         'weight', r.weight,
@@ -486,2 +513,193 @@ 'access_count', r.access_count,
 -- =============================================================================
+-- EXTERNAL REFERENCES
+-- =============================================================================
+
+CREATE OR REPLACE FUNCTION mem_add_external_ref(
+    p_record_id UUID,
+    p_system TEXT,
+    p_external_id TEXT,
+    p_external_url TEXT DEFAULT NULL,
+    p_metadata JSONB DEFAULT '{}'
+)
+RETURNS UUID
+LANGUAGE plpgsql
+AS $$
+DECLARE
+    ref_id UUID;
+BEGIN
+    INSERT INTO mem_external_refs (record_id, system, external_id, external_url, metadata)
+    VALUES (p_record_id, p_system, p_external_id, p_external_url, p_metadata)
+    ON CONFLICT (record_id, system, external_id) DO UPDATE
+    SET external_url = COALESCE(p_external_url, mem_external_refs.external_url),
+        metadata = COALESCE(p_metadata, mem_external_refs.metadata),
+        last_synced_at = NOW()
+    RETURNING id INTO ref_id;
+    RETURN ref_id;
+END;
+$$;
+
+CREATE OR REPLACE FUNCTION mem_find_by_external_ref(
+    p_system TEXT,
+    p_external_id TEXT
+)
+RETURNS TABLE (
+    id UUID,
+    type TEXT,
+    data JSONB,
+    tags TEXT[],
+    weight INTEGER,
+    status TEXT,
+    ref_id UUID,
+    external_url TEXT,
+    ref_metadata JSONB,
+    last_synced_at TIMESTAMPTZ
+)
+LANGUAGE sql
+AS $$
+    SELECT
+        r.id,
+        r.type,
+        r.data,
+        r.tags,
+        r.weight,
+        r.status,
+        e.id AS ref_id,
+        e.external_url,
+        e.metadata AS ref_metadata,
+        e.last_synced_at
+    FROM mem_external_refs e
+    JOIN mem_records r ON r.id = e.record_id
+    WHERE e.system = p_system AND e.external_id = p_external_id;
+$$;
+
+CREATE OR REPLACE FUNCTION mem_list_external_refs(p_record_id UUID)
+RETURNS TABLE (
+    id UUID,
+    system TEXT,
+    external_id TEXT,
+    external_url TEXT,
+    metadata JSONB,
+    last_synced_at TIMESTAMPTZ,
+    created_at TIMESTAMPTZ
+)
+LANGUAGE sql
+AS $$
+    SELECT id, system, external_id, external_url, metadata, last_synced_at, created_at
+    FROM mem_external_refs
+    WHERE record_id = p_record_id
+    ORDER BY created_at;
+$$;
+
+-- =============================================================================
+-- KEY-BASED LOOKUP AND UPSERT
+-- =============================================================================
+
+CREATE OR REPLACE FUNCTION mem_enforce_key_uniqueness()
+RETURNS TRIGGER
+LANGUAGE plpgsql
+AS $$
+DECLARE
+    conflicting_id UUID;
+BEGIN
+    IF NEW.keys IS NULL THEN
+        RETURN NEW;
+    END IF;
+
+    SELECT id INTO conflicting_id
+    FROM mem_records
+    WHERE keys && NEW.keys AND id != NEW.id
+    LIMIT 1;
+
+    IF conflicting_id IS NOT NULL THEN
+        RAISE EXCEPTION 'Key conflict: one or more keys in % already exist on record %',
+            NEW.keys, conflicting_id
+            USING ERRCODE = 'unique_violation';
+    END IF;
+
+    RETURN NEW;
+END;
+$$;
+
+DROP TRIGGER IF EXISTS mem_enforce_key_uniqueness_trigger ON mem_records;
+CREATE TRIGGER mem_enforce_key_uniqueness_trigger
+BEFORE INSERT OR UPDATE ON mem_records
+FOR EACH ROW
+EXECUTE FUNCTION mem_enforce_key_uniqueness();
+
+CREATE OR REPLACE FUNCTION mem_find_by_key(p_key TEXT)
+RETURNS TABLE (
+    id UUID,
+    type TEXT,
+    data JSONB,
+    tags TEXT[],
+    keys TEXT[],
+    weight INTEGER,
+    access_count INTEGER,
+    status TEXT,
+    created_at TIMESTAMPTZ,
+    updated_at TIMESTAMPTZ
+)
+LANGUAGE sql
+AS $$
+    SELECT r.id, r.type, r.data, r.tags, r.keys, r.weight, r.access_count,
+           r.status, r.created_at, r.updated_at
+    FROM mem_records r
+    WHERE r.keys @> ARRAY[p_key];
+$$;
+
+CREATE OR REPLACE FUNCTION mem_upsert_by_keys(
+    p_type TEXT,
+    p_data JSONB,
+    p_tags TEXT[],
+    p_keys TEXT[],
+    p_weight INTEGER DEFAULT NULL,
+    p_embedding vector(1536) DEFAULT NULL
+)
+RETURNS TABLE (id UUID, action TEXT)
+LANGUAGE plpgsql
+AS $$
+DECLARE
+    existing_id UUID;
+    result_id UUID;
+    result_action TEXT;
+BEGIN
+    -- Find existing record by key overlap
+    SELECT r.id INTO existing_id
+    FROM mem_records r
+    WHERE r.keys && p_keys
+    LIMIT 1;
+
+    IF existing_id IS NOT NULL THEN
+        -- Update: merge data, union tags and keys
+        UPDATE mem_records r
+        SET data = r.data || p_data,
+            tags = (SELECT ARRAY(SELECT DISTINCT unnest FROM unnest(COALESCE(r.tags, '{}') || COALESCE(p_tags, '{}')))),
+            keys = (SELECT ARRAY(SELECT DISTINCT unnest FROM unnest(COALESCE(r.keys, '{}') || COALESCE(p_keys, '{}')))),
+            weight = COALESCE(p_weight, r.weight),
+            embedding = COALESCE(p_embedding, r.embedding)
+        WHERE r.id = existing_id;
+
+        result_id := existing_id;
+        result_action := 'updated';
+    ELSE
+        -- Insert new record
+        INSERT INTO mem_records (type, data, tags, keys, weight, embedding)
+        VALUES (
+            p_type,
+            p_data,
+            p_tags,
+            p_keys,
+            COALESCE(p_weight, 5),
+            p_embedding
+        )
+        RETURNING mem_records.id INTO result_id;
+
+        result_action := 'inserted';
+    END IF;
+
+    RETURN QUERY SELECT result_id, result_action;
+END;
+$$;
+
+-- =============================================================================
 -- TRIGGERS
@@ -488,0 +706,0 @@ -- =============================================================================

dist/schema.js.map

@@ -1,1 +0,1 @@
-{"version":3,"file":"schema.js","sourceRoot":"","sources":["../src/schema.ts"],"names":[],"mappings":"AAAA;;;;;;;GAOG;AAEH,MAAM,CAAC,MAAM,cAAc,GAAG,OAAO,CAAC;AAEtC,MAAM,CAAC,MAAM,UAAU,GAAG;;;;cAIZ,cAAc;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;wDA6E4B,cAAc;2CAC3B,cAAc;CACxD,CAAC;AAEF,oCAAoC;AACpC,MAAM,CAAC,MAAM,gBAAgB,GAAG;;;;;;;CAO/B,CAAC;AAEF,MAAM,CAAC,MAAM,aAAa,GAAG;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;CAsZ5B,CAAC;AAEF,kEAAkE;AAClE,MAAM,UAAU,eAAe;IAC7B,OAAO,GAAG,UAAU,OAAO,gBAAgB,OAAO,aAAa,EAAE,CAAC;AACpE,CAAC"}
+{"version":3,"file":"schema.js","sourceRoot":"","sources":["../src/schema.ts"],"names":[],"mappings":"AAAA;;;;;;;GAOG;AAEH,MAAM,CAAC,MAAM,cAAc,GAAG,OAAO,CAAC;AAEtC,MAAM,CAAC,MAAM,UAAU,GAAG;;;;cAIZ,cAAc;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;wDAqG4B,cAAc;2CAC3B,cAAc;CACxD,CAAC;AAEF,oCAAoC;AACpC,MAAM,CAAC,MAAM,gBAAgB,GAAG;;;;;;;CAO/B,CAAC;AAEF,MAAM,CAAC,MAAM,aAAa,GAAG;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;CAwlB5B,CAAC;AAEF,kEAAkE;AAClE,MAAM,UAAU,eAAe;IAC7B,OAAO,GAAG,UAAU,OAAO,gBAAgB,OAAO,aAAa,EAAE,CAAC;AACpE,CAAC"}

dist/types.d.ts

@@ -9,2 +9,3 @@ /**
     tags?: string[];
+    keys?: string[];
     embedding?: number[];
@@ -64,2 +65,3 @@ searchable_text?: string;
     tags?: string[];
+    keys?: string[];
     weight: number;
@@ -71,2 +73,3 @@ access_count: number;
     tags?: string[];
+    keys?: string[];
     weight?: number;
@@ -77,2 +80,3 @@ generateEmbedding?: boolean;
     tags?: string[];
+    keys?: string[];
     regenerateEmbedding?: boolean;
@@ -96,2 +100,16 @@ }
 }
+export interface ExternalRef {
+    id: string;
+    record_id: string;
+    system: string;
+    external_id: string;
+    external_url?: string;
+    metadata?: Record<string, unknown>;
+    last_synced_at: string;
+    created_at: string;
+}
+export interface AddExternalRefOptions {
+    url?: string;
+    metadata?: Record<string, unknown>;
+}
 export interface LinkedRecord {
@@ -105,2 +123,6 @@ id: string;
 }
+export interface UpsertResult {
+    record: MemRecord;
+    action: "inserted" | "updated";
+}
 //# sourceMappingURL=types.d.ts.map

dist/types.d.ts.map

@@ -1,1 +0,1 @@
-{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../src/types.ts"],"names":[],"mappings":"AAAA;;GAEG;AAMH,MAAM,WAAW,SAAS;IACxB,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,SAAS,CAAC,EAAE,MAAM,EAAE,CAAC;IACrB,eAAe,CAAC,EAAE,MAAM,CAAC;IACzB,MAAM,EAAE,MAAM,CAAC;IACf,YAAY,EAAE,MAAM,CAAC;IACrB,gBAAgB,CAAC,EAAE,MAAM,CAAC;IAC1B,MAAM,EAAE,QAAQ,GAAG,UAAU,CAAC;IAC9B,UAAU,EAAE,MAAM,CAAC;IACnB,UAAU,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,OAAO;IACtB,EAAE,EAAE,MAAM,CAAC;IACX,OAAO,EAAE,MAAM,CAAC;IAChB,KAAK,EAAE,MAAM,CAAC;IACd,QAAQ,EAAE,MAAM,CAAC;IACjB,aAAa,EAAE,OAAO,CAAC;IACvB,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IACnC,UAAU,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,kBAAmB,SAAQ,SAAS;IACnD,QAAQ,EAAE,KAAK,CAAC;QACd,QAAQ,EAAE,MAAM,CAAC;QACjB,aAAa,EAAE,OAAO,CAAC;QACvB,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;QACnC,MAAM,EAAE;YAAE,EAAE,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAA;SAAE,CAAC;KACrE,CAAC,CAAC;IACH,QAAQ,EAAE,KAAK,CAAC;QACd,QAAQ,EAAE,MAAM,CAAC;QACjB,aAAa,EAAE,OAAO,CAAC;QACvB,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;QACnC,MAAM,EAAE;YAAE,EAAE,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAA;SAAE,CAAC;KACrE,CAAC,CAAC;CACJ;AAMD,MAAM,WAAW,YAAY;IAC3B,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,QAAQ,EAAE,MAAM,CAAC;IACjB,aAAa,EAAE,MAAM,CAAC;IACtB,cAAc,EAAE,MAAM,CAAC;CACxB;AAED,MAAM,WAAW,aAAa;IAC5B,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,MAAM,EAAE,MAAM,CAAC;IACf,YAAY,EAAE,MAAM,CAAC;IACrB,eAAe,EAAE,MAAM,CAAC;CACzB;AAMD,MAAM,WAAW,gBAAgB;IAC/B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,MAAM,CAAC,EAAE,MAAM,CAAC;IAChB,iBAAiB,CAAC,EAAE,OAAO,CAAC;CAC7B;AAED,MAAM,WAAW,mBAAmB;IAClC,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,mBAAmB,CAAC,EAAE,OAAO,CAAC;CAC/B;AAED,MAAM,WAAW,aAAa;IAC5B,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,IAAI,CAAC,EAAE,MAAM,CAAC;IACd,SAAS,CAAC,EAAE,MAAM,CAAC;IACnB,cAAc,CAAC,EAAE,MAAM,CAAC;IACxB,eAAe,CAAC,EAAE,OAAO,CAAC;IAC1B,WAAW,CAAC,EAAE,OAAO,CAAC;CACvB;AAED,MAAM,WAAW,cAAc;IAC7B,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,KAAK,CAAC,EAAE,MAAM,EAAE,CAAC;CAClB;AAED,MAAM,WAAW,aAAa;IAC5B,QAAQ,CAAC,EAAE,MAAM,CAAC;IAClB,SAAS,CAAC,EAAE,UAAU,GAAG,UAAU,GAAG,MAAM,CAAC;CAC9C;AAMD,MAAM,WAAW,YAAY;IAC3B,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,QAAQ,EAAE,MAAM,CAAC;IACjB,aAAa,EAAE,OAAO,CAAC;IACvB,aAAa,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACzC"}
+{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../src/types.ts"],"names":[],"mappings":"AAAA;;GAEG;AAMH,MAAM,WAAW,SAAS;IACxB,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,SAAS,CAAC,EAAE,MAAM,EAAE,CAAC;IACrB,eAAe,CAAC,EAAE,MAAM,CAAC;IACzB,MAAM,EAAE,MAAM,CAAC;IACf,YAAY,EAAE,MAAM,CAAC;IACrB,gBAAgB,CAAC,EAAE,MAAM,CAAC;IAC1B,MAAM,EAAE,QAAQ,GAAG,UAAU,CAAC;IAC9B,UAAU,EAAE,MAAM,CAAC;IACnB,UAAU,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,OAAO;IACtB,EAAE,EAAE,MAAM,CAAC;IACX,OAAO,EAAE,MAAM,CAAC;IAChB,KAAK,EAAE,MAAM,CAAC;IACd,QAAQ,EAAE,MAAM,CAAC;IACjB,aAAa,EAAE,OAAO,CAAC;IACvB,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IACnC,UAAU,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,kBAAmB,SAAQ,SAAS;IACnD,QAAQ,EAAE,KAAK,CAAC;QACd,QAAQ,EAAE,MAAM,CAAC;QACjB,aAAa,EAAE,OAAO,CAAC;QACvB,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;QACnC,MAAM,EAAE;YAAE,EAAE,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAA;SAAE,CAAC;KACrE,CAAC,CAAC;IACH,QAAQ,EAAE,KAAK,CAAC;QACd,QAAQ,EAAE,MAAM,CAAC;QACjB,aAAa,EAAE,OAAO,CAAC;QACvB,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;QACnC,MAAM,EAAE;YAAE,EAAE,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC;YAAC,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAA;SAAE,CAAC;KACrE,CAAC,CAAC;CACJ;AAMD,MAAM,WAAW,YAAY;IAC3B,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,QAAQ,EAAE,MAAM,CAAC;IACjB,aAAa,EAAE,MAAM,CAAC;IACtB,cAAc,EAAE,MAAM,CAAC;CACxB;AAED,MAAM,WAAW,aAAa;IAC5B,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,MAAM,EAAE,MAAM,CAAC;IACf,YAAY,EAAE,MAAM,CAAC;IACrB,eAAe,EAAE,MAAM,CAAC;CACzB;AAMD,MAAM,WAAW,gBAAgB;IAC/B,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,MAAM,CAAC,EAAE,MAAM,CAAC;IAChB,iBAAiB,CAAC,EAAE,OAAO,CAAC;CAC7B;AAED,MAAM,WAAW,mBAAmB;IAClC,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,IAAI,CAAC,EAAE,MAAM,EAAE,CAAC;IAChB,mBAAmB,CAAC,EAAE,OAAO,CAAC;CAC/B;AAED,MAAM,WAAW,aAAa;IAC5B,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,IAAI,CAAC,EAAE,MAAM,CAAC;IACd,SAAS,CAAC,EAAE,MAAM,CAAC;IACnB,cAAc,CAAC,EAAE,MAAM,CAAC;IACxB,eAAe,CAAC,EAAE,OAAO,CAAC;IAC1B,WAAW,CAAC,EAAE,OAAO,CAAC;CACvB;AAED,MAAM,WAAW,cAAc;IAC7B,KAAK,CAAC,EAAE,MAAM,CAAC;IACf,KAAK,CAAC,EAAE,MAAM,EAAE,CAAC;CAClB;AAED,MAAM,WAAW,aAAa;IAC5B,QAAQ,CAAC,EAAE,MAAM,CAAC;IAClB,SAAS,CAAC,EAAE,UAAU,GAAG,UAAU,GAAG,MAAM,CAAC;CAC9C;AAMD,MAAM,WAAW,WAAW;IAC1B,EAAE,EAAE,MAAM,CAAC;IACX,SAAS,EAAE,MAAM,CAAC;IAClB,MAAM,EAAE,MAAM,CAAC;IACf,WAAW,EAAE,MAAM,CAAC;IACpB,YAAY,CAAC,EAAE,MAAM,CAAC;IACtB,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IACnC,cAAc,EAAE,MAAM,CAAC;IACvB,UAAU,EAAE,MAAM,CAAC;CACpB;AAED,MAAM,WAAW,qBAAqB;IACpC,GAAG,CAAC,EAAE,MAAM,CAAC;IACb,QAAQ,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACpC;AAMD,MAAM,WAAW,YAAY;IAC3B,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;IAC9B,QAAQ,EAAE,MAAM,CAAC;IACjB,aAAa,EAAE,OAAO,CAAC;IACvB,aAAa,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACzC;AAMD,MAAM,WAAW,YAAY;IAC3B,MAAM,EAAE,SAAS,CAAC;IAClB,MAAM,EAAE,UAAU,GAAG,SAAS,CAAC;CAChC"}

package.json

 {
   "name": "@withone/mem",
-  "version": "0.1.0",
+  "version": "0.2.0",
   "description": "Memory for AI agents. Simple, fast, works anywhere.",
@@ -5,0 +5,0 @@ "keywords": [

New alerts

Shell access

Supply chain risk

This module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.

Found 1 instance in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 5 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Found 1 instance in 1 package

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Found 1 instance in 1 package

Fixed alerts

Shell access

Supply chain risk

This module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.

Found 1 instance in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 5 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Found 1 instance in 1 package

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

177220

31.44%

Lines of code

2544

35.1%

Worsened metrics

Number of low supply chain risk alerts

27

80%

No dependency changes