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The coding-agent plugin that bills 52% of a bare model across 20 live tasks. Terse persona + tool-output compressor + context diet.
Cogi the squirrel saves every message you and Claude exchange, on your computer, and finds the right one again in over a million tokens of history.
Developer toolsGitHub @meridian21labOnlineOwner unconfirmed
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Local long-term memory for Claude Code: keeps every session word for word and brings back what Claude forgot. No API key, nothing leaves your machine.
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Read the full README ↗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.
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
/clearcogi. Each runs the released cogito-mem package from PyPI at the exact version the plugin pins (uvx cogito-mem==<version>); 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).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.~/.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 <private>…</private> is skipped, and COGITO_MEM_CAPTURE=off pauses saving.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.)claude plugin uninstall cogito-mem@cogito-mem, then delete ~/.cogito-mem.Every file, download and connection, with links to the source: What you install.
| 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.
| 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.