Dirac-Robot

Dirac-Robot / comet-cc

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Persistent memory plugin for Claude Code — two-tier pipeline, BGE-M3 embeddings, daemon-backed RPC, skill-driven recall

28
0
100% credibility
Found May 03, 2026 at 28 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

CoMeT-CC enhances Claude Code with persistent memory by automatically summarizing conversations, storing key insights, and retrieving relevant past context during chats.

How It Works

1
📖 Discover endless AI memory

You hear about a helpful tool that gives your AI coding assistant perfect long-term memory so it never forgets past chats.

2
🛠️ Easy one-time setup

You download and install it quickly with simple steps that prepare everything on your computer.

3
🚀 Start the background helper

You turn on the quiet helper that runs in the background, ready to watch your conversations.

4
🌟 Chat with smart recall

As you talk to your AI coder, it automatically remembers key details from before and brings them up exactly when needed, making chats feel seamless.

5
🗺️ Browse your memory map

You open a neat web picture of all saved memories as connected bubbles, clicking to dive into details.

🎉 Build without forgetting

Your AI now handles huge projects effortlessly, recalling everything perfectly to help you code faster and smarter.

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Star Growth

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AI-Generated Review

What is comet-cc?

Comet-cc is a Python plugin that adds persistent memory to Claude Code sessions, running as a local TLS proxy to intercept API requests and inject summarized histories or retrieved nodes. It replaces raw chat turns with compact summaries, pulls relevant memories via BGE-M3 embeddings, and persists everything in sqlite for cross-turn recall—solving the infinite-context token crunch in long coding workflows. CLI commands like `comet-cc daemon start`, `search ""`, and `graph` give instant access to your memory graph.

Why is it gaining traction?

Unlike flat RAG tools, comet-cc builds a linked node graph with tiered recall (summary, detail, raw), auto-bundles tool chains, and surfaces 1-hop neighbors—making retrieval feel intuitive without drowning in noise. The daemon keeps embeddings warm, GUI setup scripts wire it into VSCode or Cursor seamlessly, and the e-ink graph view turns abstract storage into a visual map. It echoes github persistent storage patterns but tunes for AI coding, with cross-session opt-in for shared rules.

Who should use this?

Claude Code users grinding multi-hour sessions with tools, like CAD agents iterating designs or devs debugging via persistent homology-style memory. Ideal for solo AI workflows needing github persistent identifier tracking across restarts, or teams building mcp server persistent memory without external APIs.

Verdict

Try it if Claude Code's context limits kill your flow—solid docs, tests, and scripts make setup painless despite 28 stars and 1.0% credibility signaling alpha risks like daemon restarts wiping in-memory state. PolyForm license limits commercial use, but it's a clever proxy for github persistent empires in AI dev.

(198 words)

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