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@memstack/server
Advanced tools
REST API server for MemStack — self-hostable agent memory. Run anywhere Bun runs.
npm install @memstack/server
# or via Docker:
docker pull ghcr.io/isiomac/memstack-server:v0.5.0
bun run node_modules/@memstack/server/dist/index.js
# or via Docker:
docker run -p 3000:3000 -e MEMSTACK_STORAGE=memory -e OPENAI_API_KEY=sk-... ghcr.io/isiomac/memstack-server:v0.5.0
All via environment variables.
| Variable | Purpose | Default |
|---|---|---|
MEMSTACK_STORAGE | Storage backend (memory, disk, markdown, postgres, sqlite, redis) | memory |
MEMSTACK_DIR | Directory for markdown/disk | ./memories |
DATABASE_URL | Postgres connection | — |
SQLITE_PATH | SQLite database path | ./memstack.db |
REDIS_URL | Redis connection | redis://localhost:6379 |
OPENAI_API_KEY | OpenAI LLM + embeddings | — |
ANTHROPIC_API_KEY | Anthropic LLM (summarization) | — |
MEMSTACK_OPENAI_BASE_URL | Custom API endpoint (DeepSeek, etc) | https://api.openai.com/v1 |
MEMSTACK_LLM_MODEL | Model override | gpt-4o-mini |
MEMSTACK_EMBED_ON_STORE | Auto-embed on store | true |
MEMSTACK_API_KEY | Bearer token auth (optional) | — |
MEMSTACK_RATE_LIMIT | Requests/minute limit | 0 (disabled) |
PORT | HTTP port | 3000 |
| Method | Path | Description |
|---|---|---|
POST | /v1/memories | Store a memory |
POST | /v1/memories/batch | Store multiple memories |
POST | /v1/memories/retrieve | Retrieve memories |
POST | /v1/memories/context | Compile LLM-ready context |
POST | /v1/memories/process | Store with auto-enrichment |
POST | /v1/memories/merge | Merge multiple memories |
POST | /v1/memories/purge | Delete all for an actor |
POST | /v1/memories/delete-many | Delete multiple by ID |
POST | /v1/memories/import | Import JSON snapshot |
GET | /v1/memories/:id | Get by ID |
DELETE | /v1/memories/:id | Delete by ID |
POST | /v1/memories/:id/touch | Bump recency |
GET | /v1/memories/count | Count with filters |
GET | /v1/memories/export | Export snapshot |
POST | /v1/summarize | Compress old memories |
GET | /v1/summarize/stream | Stream summary via SSE |
POST | /v1/prune | Remove stale memories |
POST | /v1/prune/dry-run | Preview prune |
GET | /v1/stats/:actorId | Memory diagnostics |
GET | /health | Health check |
# Health check
curl http://localhost:3000/health
# Store a memory
curl -X POST http://localhost:3000/v1/memories \
-H "Content-Type: application/json" \
-d '{"actorId":"agent-1","content":"User reported login bug","importance":0.8}'
# Retrieve
curl -X POST http://localhost:3000/v1/memories/retrieve \
-H "Content-Type: application/json" \
-d '{"actorId":"agent-1"}'
# Compile context
curl -X POST http://localhost:3000/v1/memories/context \
-H "Content-Type: application/json" \
-d '{"actorId":"agent-1","maxTokens":500}'
# Stream summarization (SSE)
curl -N "http://localhost:3000/v1/summarize/stream?actorId=agent-1&olderThan=2026-01-01T00:00:00Z"
docker run -p 3000:3000 \
-e MEMSTACK_STORAGE=postgres \
-e DATABASE_URL=postgresql://... \
-e OPENAI_API_KEY=sk-... \
ghcr.io/isiomac/memstack-server:v0.5.0
MIT
FAQs
REST API server for MemStack — self-hostable agent memory
The npm package @memstack/server receives a total of 17 weekly downloads. As such, @memstack/server popularity was classified as not popular.
We found that @memstack/server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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