Agnostic persistent memory server for AI tools via MCP. Knowledge graph stored in SQLite with FTS5 keyword search, multi-tenant by namespace.
View on GitHub ↗Persistent long-term memory for AI tools, over MCP. Give Claude Code, OpenCode, Cursor, Antigravity, Codex — or any MCP-capable client — a shared knowledge graph it can read and write across sessions. Like Claude's memory, but tool-agnostic.
- Knowledge graph memory — entities, atomic observations, and directed relations (compatible with @modelcontextprotocol/server-memory). - Model-driven — the model recalls and saves via MCP tools, guided by an injected prompt. No host-specific integration required. - Multi-tenant — memory is scoped by namespace (user:alice, user:alice:project:frontend), so users, projects, and agents never mix. - SQLite storage — transactional, WAL mode, zero-setup, single portable file. - Keyword search — SQLite FTS5 with a substring fallback; no external services. - Live updates — mutation tools notify subscribed clients via MCP resources. - Two transports — stdio (default, local) and Streamable HTTP (remote).
Wire memory into Claude Code, OpenCode, Cursor, Antigravity, or Codex with one interactive command:
The wizard asks which tools, where to set it up, the database path, and a memory namespace — then writes the MCP config, injects usage guidance, and optionally installs an auto-inject hook/plugin. Restart your AI tool and start chatting.
Run it outside a project (e.g. from $HOME)? It detects that and defaults to a user/global setup instead of cluttering your home directory. Re-running is safe — existing files are merged, never overwritten.
From the project README.
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