LongMemory

LongMemory
Durable, temporal, governed memory for AI agents. Not just RAG. Not just a vector database. Local-first and self-hosted.

LongMemory is a cognitive memory engine for LLM applications and autonomous agents.

- Durable local-first storage with SQLite
- Immutable content, provenance, and temporal truth
- Strict, historical, associative, grounded, and multilingual recall
- Explainable evidence selection and token-bounded context
- Governed project memory, Skills, Chat Memory, LLM-Wiki, and CodeGraph
- One TypeScript engine across npm, CLI, HTTP, MCP, dashboard, and VS Code
- Native integrations for agent hosts, automation tools, and Python frameworks

Your model stays stateless. Your application stops being amnesiac.

1. Use It in 10 Seconds

Install as a library

No service or external database is required for in-memory use.

For optional evidence-grounded answers with your own model, use the exported
answer_from_evidence adapter. It accepts authorized evidence, validates cited
excerpts, and makes at most one model call; ordinary recall is unchanged.
See docs/answering.md for policies, limits, and integration.

Persist with SQLite

Reopening the same database restores nodes, worlds, entities, edges, temporal history, grounding, and lifecycle state.

Install the CLI

Call a self-hosted server from Python

The Python package is a zero-dependency HTTP client. The Hydrograph engine remains in the self-hosted TypeScript service. See docs/python-sdk.md.

2. Run as a Service

From source

The API listens on http://127.0.0.1:7331 by default.

Docker

Docker Compose

Include the dashboard:

- API and MCP: http://127.0.0.1:7331
- Dashboard: http://127.0.0.1:3000
- Health: http://127.0.0.1:7331/health

3. Why LongMemory

Most systems called memory are retrieval…