Listed from the MCP registry; nobody on Odel publishes it.
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
Runs on your machine from its package; the steps are below.
At most: creates or changes data: records, files, settings.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Distributed as an MCP bundle (`https://github.com/Zimac-AI/mnema/releases/download/v0.2.0/mnema-0.2.0-macos-universal.mcpb`) — download it and import the bundle in your MCP client.
Distributed as an MCP bundle (`https://github.com/Zimac-AI/mnema/releases/download/v0.2.0/mnema-0.2.0-linux-x86_64.mcpb`) — download it and import the bundle in your MCP client.
Local-first, formally verified memory for AI agents — one shared store, every client, over MCP.
Your agents rent their intelligence from a lab; their memory should be yours.
Mnema is a single, durable store of what your agents have learned — consult it
before you act, learn a durable fact, walk the related graph, list what's
recent. Data lives in ~/.mnema on your machine and nothing leaves it unless you
point it somewhere.
~/.mnema. No cloud,
no account.This repository hosts the public release bundles (
.mcpb) and prebuilt binaries. The product, docs, and downloads live at mnema.zimac.ai.
Mnema is published to the official MCP Registry
as ai.zimac/mnema. Any registry-aware client can install it by name; it
pulls the platform .mcpb bundle from this repo's releases and verifies its
fileSha256.
.mcpb bundle (manual)Grab the bundle for your platform from the latest release and open it with an MCP-bundle-aware client (e.g. Claude Desktop → Extensions):
| Platform | Asset |
|---|---|
| macOS (universal) | mnema-<version>-macos-universal.mcpb |
| Linux (x86_64) | mnema-<version>-linux-x86_64.mcpb |
A .mcpb is a ZIP of a manifest.json, the mnema binary, and this README.
Each is dry-run verified (the bundled binary completes an MCP initialize
handshake) before release.
curl | sh)For agents, scripts, and CI — installs the standalone mnema binary:
curl -fsSL https://mnema.zimac.ai/install.sh | sh
(macOS universal + Linux x86_64 prebuilt; anything else builds from source. The macOS GUI app is a separate download at mnema.zimac.ai.)
claude mcp add mnema -- mnema mcp
That's the whole setup: mnema mcp auto-starts the shared local store if it
isn't running, and the session gets four tools — consult (search before you
act), learn (record a durable fact), related (graph neighbours), list
(browse). Any MCP client works; the generic config is:
{ "mcpServers": { "mnema": { "command": "mnema", "args": ["mcp"] } } }
The same binary bridges to a remote Mnema (a token-protected mnema serve or a
hosted learnings pod) instead of the local one:
MNEMA_URL=https://memory.example.com MNEMA_TOKEN=<secret> mnema mcp
With a non-loopback URL nothing is auto-started — it's a pure authenticated bridge.
| Env | Default | What |
|---|---|---|
MNEMA_DATA_DIR | ~/.mnema | Where the store lives |
MNEMA_URL | http://127.0.0.1:7077 | Store the CLI/MCP bridge targets |
MNEMA_TOKEN | — | Bearer credential for a remote store |
ai.zimac/mnema on https://registry.modelcontextprotocol.io.mcpb + binaries): https://github.com/Zimac-AI/mnema/releasesMnema is a Zimac project.