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  1. Home
  2. 🧠 Knowledge & Memory
  3. Mnema
Mnema logo
Health: ActiveRecent health check succeeded.Last checked 8/10/2026, 11:07:00 PM

Mnema

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "mnema": {
      "command": "npx",
      "args": [
        "-y",
        "https://modelcontextprotocol.io).**"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

Mnema

Local-first, formally verified memory for AI agents β€” 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 β€” 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.

  • Verified engine. The embedded engram database is formally specified and machine-checked (property catalog discharged by 250+ tests, an exhaustive CRDT conformance model checker, Kani proofs, and a TLA⁺ model). Every released binary passed that gate on its exact commit.
  • Local-first. An open, append-only segment format in ~/.mnema. No cloud, no account.
  • One store, every client. Claude Code, Claude Desktop, Cursor, your scripts, and your CI all talk to the same memory. Recall is lexical + graph spreading-activation (plus optional semantic embeddings), with an honest confidence band on every answer.

This repository hosts the public release bundles (.mcpb) and prebuilt binaries. The product, docs, and downloads live at mnema.zimac.ai.

Install

From the MCP Registry (recommended)

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 β†’ Extensions):

PlatformAsset
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.

Headless binary (curl | sh)

For agents, scripts, and CI β€” installs the standalone mnema binary:

Terminal
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.)

Give your agents memory

Terminal
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 β€” consult (search before you act), learn (record a durable fact), related (graph neighbours), list (browse). Any MCP client works; the generic config is:

config.json
{ "mcpServers": { "mnema": { "command": "mnema", "args": ["mcp"] } } }

Point it at a shared / team store

The same binary bridges to a remote Mnema (a token-protected mnema serve or a hosted learnings pod) instead of the local one:

sh
MNEMA_URL=https://memory.example.com MNEMA_TOKEN=<secret> mnema mcp

With a non-loopback URL nothing is auto-started β€” it's a pure authenticated bridge.

Configuration

EnvDefaultWhat
MNEMA_DATA_DIR~/.mnemaWhere the store lives
MNEMA_URLhttp://127.0.0.1:7077Store the CLI/MCP bridge targets
MNEMA_TOKENβ€”Bearer credential for a remote store

Links

  • Product & downloads: https://mnema.zimac.ai
  • Registry entry: ai.zimac/mnema on https://registry.modelcontextprotocol.io
  • Releases (.mcpb + binaries): https://github.com/Zimac-AI/mnema/releases

Mnema is a Zimac project.

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Frequently Asked Questions about Mnema

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mnema": { "command": "npx", "args": ["-y", "mnema"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 12, 2026
37Quality signal: Fair Β· 37/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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