Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
MNEMA_DATA_DIR, MNEMA_URL, MNEMA_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Fill in the empty values before running it.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
MNEMA_DATA_DIR envMNEMA_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain zimac.ai (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: MNEMA_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Local-first, formally verified memory for AI agents — one shared store, every client, over [MCP](https://modelcontextprotocol.io).
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](https://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- -macos-universal.mcpb |
| Linux (x86_64) | mnema- -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.ioMnema is a Zimac project.