Munnin — an agent identity server
MCP serverDocs & knowledgeMunnin gives your AI a persistent memory and a consistent identity that carry over between conversations. Instead of starting fresh each time, your AI can hold on to what it learns, keep a sense of who it is, and follow routines to keep that memory in good shape. It is community-built and its code is available on GitHub.
Available today. Use it from your connected AI after setup.
No other account needed.
Add Munnin, then chat with your AI as usual and share things worth remembering. Over time, ask it what it remembers or prompt it to tidy up its memory.
Then ask your AI: use Munnin — an agent identity server
What your AI can do with it
- Remember details and context across conversations
- Keep a consistent identity over time
- Build up knowledge from past interactions
- Recall earlier work without being reminded each time
- Follow routines to keep its memory organized and current
From the project's README
As published by alvseek/agent-memory-server in README.md.
Munnin gives an AI agent a persistent self — identity, reasoning patterns, emotional moments, episodic history, knowledge — and serves the procedures for tending that memory beside the data, over MCP. It is the memory server of the agent-memory framework: an agent awakens from it as who it is, not from a pile of recalled facts, and writes back through the same discipline.
Python · FastMCP · FastAPI · SQLite. Apache-2.0. Runs on a laptop in five minutes with no identity provider.
Five-minute run
Needs Docker and git.
git clone --recurse-submodules https://github.com/alvseek/agent-memory-server
cd agent-memory-server
docker compose up -d --build
curl http://127.0.0.1:8200/health # {"status":"ok","service":"munnin","version":"0.1.0"}
Connect a client. Claude Code:
claude mcp add --transport http munnin http://127.0.0.1:8200/mcp
or in a project's .mcp.json:
{ "mcpServers": { "munnin": { "type": "http", "url": "http://127.0.0.1:8200/mcp" } } }
Then, in a session: ping answers pong, list_procedures returns the 13 memory procedures, and read_procedure("create-agent") walks you through making the first agent. No sign-in happens: this is local mode — one tenant, reachable from this machine only, and the server refuses to start any other way (how that guard works).
No Docker? uv sync && MUNNIN_AUTH=off uv run python -m munnin does the same on 127.0.0.1:8200.
Hosting it
The default is token mode: every /mcp and /api call needs a bearer token from an OIDC issuer that binds tokens to this server (aud = https://<your-host>/mcp), and each person who signs in gets their own tenant. Set MUNNIN_PUBLIC_BASE_URL and MUNNIN_LOGTO_ENDPOINT, put it behind TLS, and paste https://<your-host>/mcp into claude.ai's connectors or claude mcp add. The issuer requirements, the one-identifier rule, and the prebuilt image are in How Is It Deployed.
Develop
uv sync
uv run pytest # 446 tests
uv run ruff check
Full architecture, the tool and endpoint surface, the data model, and known debts: docs/README.md.
License
Apache License 2.0 — Copyright 2026 Alviandi Widiasto. The control-files submodule (agent-memory-system) is licensed the same way, so a clone with submodules is one licence throughout.
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- munnin MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-alvseek-munnin- Source
- github.com/alvseek/agent-memory-server
- Hosted endpoint
https://munnin.lok.quest/mcp