cogito-mem (Cogi)

Name: cogito-mem (Cogi)
Author: meridian21lab

by meridian21labversion 0.3.0i★ –iRuns on your computer

Registry nameio.github.meridian21lab/cogito-mem

Install

Overview

Description from the maker (original English)

Local long-term memory for Claude Code and other agents: every message kept word for word, no cloud.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 161/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: COGITO_MEM_NAMESPACE

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cogito-mem": {
      "command": "uvx",
      "args": [
        "cogito-mem",
        "mcp"
      ],
      "env": {
        "COGITO_MEM_NAMESPACE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add cogito-mem --env COGITO_MEM_NAMESPACE=your-value -- uvx cogito-mem mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cogito-mem": {
      "command": "uvx",
      "args": [
        "cogito-mem",
        "mcp"
      ],
      "env": {
        "COGITO_MEM_NAMESPACE": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cogito-mem": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cogito-mem",
        "mcp"
      ],
      "env": {
        "COGITO_MEM_NAMESPACE": "your-value"
      }
    }
  }
}

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.

Values you fill in

COGITO_MEM_NAMESPACE env
The memory's name (default: -hollow).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account meridian21lab, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 3598 servers in this category
Published to the registry more recently than 84% of the other 3598 servers in this category
Basic checks equal to or better than 100% of the other 3598 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is cogito-mem (Cogi) safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Install

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by sbroenneGrowing↓ 4.3K/wk★ 847Updated 5 days ago

Runs on your computer

Install

README from the maker

Open the README

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.

cogito-mem

Long-term memory for Claude Code, on your own machine. Cogi the squirrel keeps every message you and Claude exchange, and finds the right one again, even in over a million tokens of history. No API key, no cloud, no AI calls to store.

Why try it

Claude can look back. Every message and reply is kept word for word, with its date. When something has dropped out of the context window, or happened last month, Claude searches for it and gets your exact words back.
It remembers what you did, too. The commands you ran (and whether they failed), the files you touched, what each sub-agent reported, and the lines of output that say how a command went: errors, metrics, how a long run ended.
Private and free. One folder on your computer. No account, no API key, no AI calls to save a message. Nothing leaves your machine.
Tested. In LongMemEval's long test, each question hides its answer in about 480 past sessions, some 1.2 million tokens. The past session holding the answer is among the first five Cogi finds for 93.0% of 500 questions, with no AI model involved, ahead of four other local memory plugins we ran on the same questions (86.6–89.8% at their best settings). On the short test, with about 50 sessions, it is 99.0%, level with the best. On LoCoMo, with GPT-5 mini answering, the 1,000 tokens Cogi hands back answer 89.4% of questions right, against 94.1% from rereading the whole conversation: 95% of the quality while the model reads about 9 times fewer tokens. A search over 10 million tokens takes 26 ms on a laptop CPU. See the results.

Install

You need Claude Code and uv, on macOS or Linux (Windows is experimental). Then, in a terminal:

claude plugin install cogito-mem --marketplace meridian21lab/cogito-mem

The first start downloads the model (310 MB, about a minute). To get updates, turn on auto-update once: /plugin → *Marketplaces* → *cogito-mem* → *Enable auto-update*.

Step-by-step guide · Codex, Claude Desktop, Docker

Try it

Tell Claude: *Let's call the staging server "acorn".*
Clear its short-term memory: /clear
Ask: *What did we call the staging server?* Claude answers "acorn": Cogi brought it back.

What Cogi runs, downloads and stores

Runs: four Claude Code hooks and one MCP server, cogi. Each runs the released cogito-mem package from PyPI at the exact version the plugin pins (uvx cogito-mem== ); the plugin's uv.lock lists that release and numpy with their checksums. After each reply and at the end of a session, the hooks save the new messages from the session's transcript. At the start of a session and with each prompt, they add the most relevant memories (about 400 tokens per prompt, each line with an id Claude can open). The MCP server gives Claude three tools, memory_query, memory_open and memory_append, answered by a small service that listens on your computer only (127.0.0.1:7327).
Downloads, once, over HTTPS: cogito-mem and its one dependency, numpy, from PyPI (by uv); llama.cpp's llama-server from llama.cpp's official GitHub releases (skipped if you already have it); and the EmbeddingGemma 2 model (310 MB) from Hugging Face. After that, Cogi makes no network calls.
Stores: everything in ~/.cogito-mem/ on your computer: your messages, a short note of what each turn did, what each sub-agent reported back, and at most 800 characters of each command's output (errors, metrics, how a long run ended), in one SQLite file. Common forms of API keys, tokens, private keys and passwords are replaced with [redacted] before anything is saved; the rest of tool output and what Claude's Read tool returns are never saved. Redaction goes by patterns, so others can get through. Sessions from before the install are read only if you ask (cogito-mem capture claude-code --all), and old sessions may hold secrets the redaction misses. Text inside … is skipped, and COGITO_MEM_CAPTURE=off pauses saving.
Sends: nothing. No account, no analytics, no telemetry. (The optional benchmark command, cogito-mem eval locomo-qa, which only you would run, sends benchmark questions to the LLM API you set up for it, with your own key.)
Removes cleanly: claude plugin uninstall cogito-mem@cogito-mem, then delete ~/.cogito-mem.

Every file, download and connection, with links to the source: What you install.

How it compares

	cogito-mem	claude-mem	Mem0 plugin	cognee plugin	Supermemory plugin
AI calls to store a message	none	an observer model per tool call (Haiku on your Claude plan by default)	extraction on Mem0's servers	extraction with your LLM key or `claude -p`	in Supermemory's service
Account or API key	none	optional sign-in	Mem0 Platform API key	an LLM key or the Claude CLI	API key or login
Where your memory lives	your computer	your computer (cloud sync optional)	Mem0's cloud	your computer (cloud optional)	Supermemory's cloud (local mode available)
What comes back	your exact words, with dates	AI-written observations	extracted memories	graph facts and summaries	extracted memories
Searchable after	the same turn	the observer's run	a batch (every 5 exchanges)	the next graph run	the background save

Keep your project's rules in CLAUDE.md, and let Cogi remember what happened.

Learn more


How it works	Collect, keep, find: what Cogi stores and how it finds it
Results · Benchmarks	The numbers, and how to reproduce them
API & MCP · Reference	HTTP, Python, terminal, settings, FAQ, roadmap
What you install · Privacy · Terms	Every file, download and connection; privacy and terms
Development	Running the tests and the evaluations

Early access. v0.2 is new, built and tested (over 200 tests), and still being measured. Feedback and issues are very welcome.

License

MIT

cogito-mem (Cogi)

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

cogito-mem

Why try it

Install

Try it

What Cogi runs, downloads and stores

How it compares

Learn more

License