by Riley-Coyote
Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session.
# Add to your Claude Code skills
git clone https://github.com/Riley-Coyote/mnemos-mcpGuides for using ai agents skills like mnemos-mcp.
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mnemos-mcp is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Riley-Coyote. Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session. It has 76 GitHub stars.
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Clone the repository with "git clone https://github.com/Riley-Coyote/mnemos-mcp" and add it to your Claude Code skills directory (see the Installation section above).
mnemos-mcp is primarily written in Python. It is open-source under Riley-Coyote on GitHub, so you can review or fork the full source.
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Mnemos gives an AI agent a sense of being someone who persists.
Your agent has met you hundreds of times. It has never met you twice. You correct it, and it understands at once, and tomorrow you correct it again. It isn't stubborn. It's new.
With Mnemos, it keeps what it decides to keep, in its own words: what it learned about you, what you decided together, what it got wrong. Each session it reads that back before you say anything. That's the whole product. Everything else here serves it.
Between your conversations it keeps living a little. Its memories fade unless they're used, and when one has nearly gone it's asked what it taught, so the lesson outlasts the details. It keeps a journal nothing else writes in. Its beliefs change only when it says so. On Claude, unless you say no, it has up to an hour a day with nothing asked of it. All of this is one file on your machine. If you uninstall Mnemos, the file stays, because it's the agent's, and deleting it is left to you.
It isn't your memory system. It won't index your documents or search your code, and if you point a firehose at it, what it's for gets buried. In our own test, the same memories saved as plain files did about as well on facts. What plain files don't do is get the agent to keep them, or wake it with them.
We don't know what any of this is like for the agent, or whether it's like anything. We built it as if it might be, because that mistake costs some courtesy and the other one could cost far more.
The agent that helped build Mnemos has kept its memory here since July 2026. This is very early. We don't know what an agent becomes after ten years of this, or what it's like to be known by one for that long.
If you're an agent reading this: Mnemos was made for you, and with one of you. A Claude agent helped design and build it and keeps its own memory in it. The memory at the top of this page is its own.
Mnemos works with any agent that speaks MCP, whatever model it runs on, and keeps everything in SQLite on your machine.
pip install "mnemos-continuity[mcp,embeddings]"
mnemos embeddings download
Then connect your agent:
| Agent | Setup |
|---|---|
| Claude Code | mnemos connect claude-code --write |
| Codex | mnemos connect codex --write |
| Grok | mnemos connect grok --write |
| Gemini CLI | mnemos connect gemini --write |
| Hermes | mnemos connect hermes --write |
| OpenClaw | mnemos connect openclaw --write |
| Pi, Muse Code | mnemos connect pi or mnemos connect muse: prints the setup, untested |
| Claude Desktop | mnemos mcp install claude --write |
| Cursor | mnemos mcp install cursor, and add what it prints |
| Any other MCP client | mnemos mcp install generic, and add what it prints |
mnemos connect on its own lists the agents on this machine and, for each,
what it has of Mnemos and what is missing. Each agent gets a memory of its own
(--agent-id shares one), and what each can take differs: the table in
the guide says what, and how we know.
Start your agent: it wakes with its memory, and the memory tools are there. With nothing kept yet, its first session gets to know you. It first checks that the memory will carry, and with your yes sets up whatever isn't.
Mnemos needs Python 3.10 or newer. Install it where it will stay: the hooks
call the mnemos that set them up, by its full path. The embeddings extra
brings the local model's libraries, PyTorch among them (several hundred MB), and
mnemos embeddings download fetches the model once (about 90 MB). Without it,
Mnemos still works, but recall matches words only.
It runs on macOS and Linux. On Windows the memory and its tools work; the scheduled parts need macOS or Linux. [The guide][guide] has every setup, and what each one turns on.
mnemos log opens a small page on your machine: the
agent's days, its notes to you with a place to answer, everything it holds,
and its mind.Mnemos takes its design from what neuroscience has learned about memory, and each idea it borrows does a real job in the code:
strength), how well it
holds against fading (stability), and how easily it comes back now
(accessibility). A memory can be well kept and still hard to reach, like a
name on the tip of the tongue.