JuliusBrussee

JuliusBrussee / cavemem

Public

Cross-agent persistent memory for coding assistants. Stored compressed. Retrieved fast. Local by default.

19
0
100% credibility
Found Apr 19, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Cavemem provides persistent, compressed memory storage for AI coding agents across IDEs, enabling search and recall of session history.

How It Works

1
📖 Discover cavemem

You hear about a helpful tool that lets your AI coding buddy remember everything from past chats and work sessions.

2
🛠️ Set it up quickly

You grab the tool and get it ready on your computer in moments.

3
🔗 Connect your coding app

You link it to your favorite AI coding helper, like Claude or Cursor, so it starts capturing memories automatically.

4
💬 Chat and code with AI

As you talk to the AI and use tools, it quietly saves key moments like your prompts and changes.

5
🔍 Search your memories

You ask for past details from the comfort of your terminal or peek in a simple web viewer.

6
🧠 AI recalls everything

Your AI now pulls up old context instantly, making you way more productive across sessions.

✅ Supercharged coding

Everything flows smoothly with full history at your fingertips, no more repeating yourself.

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Star Growth

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AI-Generated Review

What is cavemem?

Cavemem delivers cross-agent persistent memory for coding assistants, capturing user prompts, tool uses, and session summaries into a local SQLite store. Content gets compressed with caveman-style grammar to slash token counts while staying readable, then retrieved fast via semantic or keyword search. Built in TypeScript, it hooks into IDEs by default and exposes an MCP server for assistants to query memory on-demand.

Why is it gaining traction?

It stands out by working across agents—no vendor lock-in—with hooks that auto-log without slowing your workflow, plus a CLI for quick searches and a web viewer. Local storage keeps everything private and instant, no cloud latency, and compression yields 60%+ token savings for cheaper embeddings. Developers dig the one-command install for tools like Claude Code or Cursor.

Who should use this?

AI coding powerusers in Claude Code, Cursor, or similar who juggle multiple assistants and lose context between sessions. Ideal for devs building apps with frequent tool calls, needing fast recall of past prompts or fixes without re-explaining everything.

Verdict

Grab it if you're deep in agentic coding—installs cleanly and search feels snappy out of the box. At 19 stars and 1.0% credibility, it's raw but functional; docs cover CLI basics well, though expect tweaks as it matures.

(187 words)

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