th-memory-mcp
Requirements
- Node.js 22.23.4+, 24.22.1+, or 26.12.1+ — patched releases only; the server uses Node-only APIs (
better-sqlite3 native build, import.meta.url). Node.js 20 is EOL and unsupported. CI tests the minimum patched version of each supported line (22/24/26).
- npm — for
npm install, npm run build, npm test. No external services, accounts, or API keys — everything lives in a single local SQLite file.
- OpenCode — the host that loads the MCP server and the auto-capture plugin (any build with MCP over stdio + plugins). The plugin uses
node:sqlite on OpenCode Desktop/Node 22.5+ and falls back to bun:sqlite on the Bun-based CLI.
- OS: Windows / macOS / Linux — cross-platform (Node); Windows: set
MEMORY_DB_PATH with setx, macOS/Linux: export in your shell profile.
Security: Use a patched Node.js release — check your runtime with npx is-my-node-vulnerable. npm audit covers npm dependencies only, not Node.js core CVEs.
Quick Start
Fastest path: npm run quickstart (after cloning) builds, wires opencode.json, deploys the plugin, and sets MEMORY_DB_PATH — the steps below are the manual equivalent. npm alternative: npm install -g th-memory-mcp (or npx th-memory-mcp) and point mcp.command to th-memory-mcp instead of dist/index.js (plugin still from this repo; not on GitHub Packages anymore).
git clone https://github.com/worakorn-prince/th-memory-mcp.git
cd th-memory-mcp && npm install && npm run build
setx MEMORY_DB_PATH "$PWD/data/memory.db"
- Merge this into
~/.config/opencode/opencode.json (replace <REPO> with the absolute clone path; ready-made block in opencode.example.json). MEMORY_DB_PATH must be the SAME file for server and plugin — a system/user-level env var covers both; environment below covers the server only. Example rules: AGENTS.memory.example.md (attachable at project level).
{ "instructions": ["<REPO>/AGENTS.memory.example.md"],
"mcp": { "memory": { "type": "local", "command": ["node", "<REPO>/dist/index.js"], "enabled": true, "environment": { "MEMORY_DB_PATH": "<REPO>/data/memory.db" } } } }
- (Optional) Auto-capture: copy
src/plugin/learning-capture.ts → ~/.config/opencode/plugins/
- Restart OpenCode (config loads at startup only), then try: "Remember that I prefer pnpm" → new session → "What package manager do I prefer?"
If startup reports Failed to load plugin ... Received protocol 'bun:', you copied an older plugin. Re-copy the current src/plugin/learning-capture.ts; it loads node:sqlite first and only falls back to bun:sqlite under Bun.
Architecture
OpenCode loads the plugin learning-capture (Node/Bun) — auto-captures prompt/tool/error into the DB, injects the profile on compaction — and the MCP server th-memory-mcp (Node stdio) exposing the 16 tools on that same SQLite DB; global rules (memory-protocol.md) teach the AI to use them.
Why th-memory-mcp?
- Context-based learning, not fine-tuning — captures your preferences, corrections, and habits, then recalls them next session; no data leaves your machine.
- 100% local & private — one SQLite file, no cloud, no external API; secrets (
api_key=, password:, token) filtered before storage.
- Low overhead & resilient — tool calls are capped (latency < 10 ms, bounded output) and degrade gracefully if the DB is unavailable.
- Open & extensible — MIT licensed; 16 documented tools, rule-based distill, auto-capture plugin; Node +
better-sqlite3 only (no extra native extensions).
Highlights
- Structured memory — preferences with confidence scoring plus
lesson records (situation → mistake → correction), not just flat facts.
- Lifecycle, temporal & conflict-aware — states (active/stale/superseded/archived), confidence/importance/salience scoring, per-type decay, validity intervals for point-in-time truth and supersession chains; duplicate/contradiction resolution keeps both sides of ambiguous evidence.
- Hybrid retrieval —
get_context blends FTS5 keyword search with dependency-free lexical fuzzy matching (hashed n-gram similarity, 512-dim FNV-1a) via RRF fusion, then assembles a token-budgeted context with optional memory-graph expansion.
- Consolidation — clusters similar memories into derived ones with full provenance (
derived_from links).
- First-class Thai / i18n — Thai-aware tokenization in distill; Thai and English accepted interchangeably.
Works with other harnesses
A standard MCP server: 16 tools anywhere MCP-over-stdio works; all harnesses share one SQLite file via MEMORY_DB_PATH. Auto-capture needs a hook runtime (built into OpenCode, bridged for Claude Code).
| 16 MCP tools | ✅ | ✅ | ✅ | ✅ | ✅ |
| Auto-capture (background) | ✅ plugin | ✅ hooks | ⚠️ adapter | ❌ manual | ❌ Rules |
| Profile injection | ✅ compaction | ✅ UserPromptSubmit | ❌ get_profile | ❌ get_profile | ❌ get_profile |
| Lexical fuzzy matching | ✅ (v2.0) | ✅ (v2.0) | ✅ (v2.0) | ✅ (v2.0) | ✅ (v2.0) |
Scripts
npm run build | compile TypeScript → dist/ |
npm start | run the MCP server (stdio) from dist/index.js |
npm run distill | interactions → profile sections + prune old data (RETENTION_DAYS, default 30) |
npm test | build + full suite (32 files, 75 tests) |
node test/<name>.test.mjs | run one suite: capture, distill, lifecycle, temporal, conflict, retrieval, graph, context, consolidation, benchmark, security |
node test/smoke.mjs | end-to-end smoke test over JSON-RPC (16 tools) |
Tools (16)
remember | upsert preference (category+key); re-save +0.1 confidence (cap 1.0) |
recall | search preferences + lessons (FTS5) + recent matching interactions — run before a new task |
get_profile | profile sections + top preferences + 5 most recent lessons |
save_lesson | record a lesson from a correction (situation / mistake / correction) |
search_history | search past prompts by keyword (200-char snippets) |
forget | delete one row (preference/lesson/interaction) by id (+type avoids cross-table id clash) |
memory_stats | counts by kind, DB size, oldest/newest interaction, profile sections |
get_recent_interactions | recent raw interactions (filter by kind) — Smart Distill feedstock |
export_memory | export to JSON under data/exports/ only (filename auto-sanitized) |
get_context | task-relevant memories via hybrid retrieval (+ graph expansion), token-budgeted |
consolidate | cluster similar memories via embedding similarity; optionally create derived memories linked via derived_from |
link_memory | typed link between two memories: supports/contradicts/supersedes/derived_from/related_to/caused_by/depends_on |
merge_memory | merge a duplicate into canonical memory (source superseded; provenance in metadata.merged_from) |
update_memory | update fields in place, or create a superseding memory when content changes (supersede=false edits in place) |
import_memory | import from JSON (validates type, dedupes, never overwrites blindly); dry-run by default, apply=true to insert |
extract_memories | scan recent interactions for memory-intent phrases, propose candidates (deterministic, no LLM); dry-run by default, apply=true to create (source=captured) |
CLI (th-memory)
th-memory-mcp | dist/index.js | MCP server (stdio) — the 16 tools above |
th-memory | dist/cli.js | zero-dep local CLI (same DB via MEMORY_DB_PATH) |
Usage: th-memory [--db <path>] [--json] [--plain] <command> [options] — per-command help via th-memory <command> --help. highlight/recall --highlight: matches underlined (ESC[4m) on a color TTY, else [mem]…[/mem] markers (piped, --plain, --json).
--db <path> | use this SQLite file (sets MEMORY_DB_PATH) |
--json | print JSON {ok,data} instead of plain text |
--plain / --no-color | disable colors |
-h, --help / -V, --version | show help / print version |
remember | remember --category <c> --key <k> --value <v|-> — save a preference (--value - reads from stdin) |
recall | recall <topic> [--limit <n>] [--highlight] — search memory |
forget | forget <id> [--type <t>] — delete by id (t: memory|preference|lesson|interaction) |
export | export [--include-interactions] [--filename <n>] — export to data/exports/*.json |
import | import (--file <p>|--json <s>) [--apply] [--user-id <id>] — import backup (dry-run by default) |
stats | stats — memory statistics |
profile | profile — distilled user profile |
history | history [--query <q>] [--limit <n>] — search past prompts (no query = recent prompts) |
recent | recent [--limit <n>] [--kind <k>] — recent interactions (k: prompt|tool_call|error) |
highlight | highlight [text...] -q <topic> [--limit <n>] — highlight topic matches (empty text = stdin pipe) |
th-memory remember --category coding_pref --key package_manager --value pnpm
th-memory recall pnpm --limit 5
echo "I prefer pnpm for installs" | th-memory highlight -q pnpm
Daily usage
The AI accepts Thai and English interchangeably; long-term care: npm run distill summarizes stats and prunes interactions older than 30 days.
- "Remember that..." →
remember — save a preference
- "Summarize memory" / "distill memory" → Smart Distill — AI reads
get_recent_interactions, finds patterns, saves insights itself
- "How is my memory?" / "memory status" →
memory_stats
- "Export memory" / "backup memory" →
export_memory
- "Search history..." →
search_history · "Forget..." → forget
data/ structure
data/
├── memory.db # SQLite (WAL mode) — main DB (+ .db-wal, .db-shm); path overridable via MEMORY_DB_PATH
└── exports/ # JSON files from export_memory (writeable only in this dir)
# everything in data/ is git-ignored
Known Limitations
- No encryption at rest —
data/memory.db is plain, unencrypted SQLite (WAL mode, better-sqlite3); "100% local & private" means no cloud/network exfiltration, not encrypted at rest — anyone with filesystem access can read it. For sensitive data: OS full-disk encryption (BitLocker / FileVault / LUKS) or an opt-in SQLCipher build (native rebuild + key management); no in-code encryption by default (src/db/index.ts documents this).
- Single-user, no auth layer (Batch B-3) —
userId / sessionId / projectId are caller-supplied with no authentication or authorization check inside the server; scope isolation (retrieval, get_context, graph, consolidate, link_memory, merge_memory) binds only to caller-sent values, so any scope is readable/writable by passing a different id. Suitable for a single-user local process; do not share one server/DB across untrusted users without an auth layer in front enforcing the correct userId (projectId / sessionId). No auth is built in by design.
License
MIT © 2026 worakorn-prince — see LICENSE for the full text.