Pinperepette

Per-project persistent memory for Claude Code, in AGD format. Skill + SessionStart hook + MCP server, all driven by the agd CLI.

15
0
100% credibility
Found May 10, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A plugin for an AI coding tool that creates persistent project memory, allowing selective recall of notes and rules to save time and resources.

How It Works

1
๐Ÿ›’ Discover the memory helper

While chatting with your AI coding assistant, you spot a handy plugin in its built-in store that keeps track of project notes and rules across sessions.

2
๐Ÿš€ Add it with a quick command

In your chat, type one easy install line from the store, restart your session, and your project memory is automatically ready to use.

3
๐Ÿ“– See your saved notes load

At the start of every new chat, a neat summary of your project's key memories pops up, so nothing gets forgotten.

4
Interact with memories
๐Ÿ”
Recall a memory

Say 'remember our style rule?' and it pulls just the right note instantly.

๐Ÿ’พ
Save something new

Say 'remember no extra authors in commits' and it stores it safely for next time.

5
๐ŸŒ Browse in a friendly viewer

Open a simple webpage on your computer to search, read, or explore connections between your notes like a personal map.

๐ŸŽ‰ Your AI never forgets

Now your assistant remembers project history perfectly every time, making chats faster and smarter without overload.

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Star Growth

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AI-Generated Review

What is agd-memory?

agd-memory delivers per-project persistent memory for Claude Code sessions, stored in the AGD format and driven entirely by the agd CLI. Each project gets its own memory file; a SessionStart hook injects a lightweight table of contents at startup, a dedicated skill handles queries like "what do you remember," and an MCP server exposes tools for structured reads and writes. Users avoid loading entire files, fetching only relevant blocks to cut token costs by 6-15x.

Why is it gaining traction?

It stands out by ditching embeddings, daemons, or brokers for pure CLI-driven accessโ€”no overhead, just a line-oriented file on disk. Developers notice instant token savings on selective retrieval patterns like scope queries or provenance chains, plus a bundled Python viewer for Markdown reading, HTML search, and graph traversal of refs. Benchmarks prove real dollar wins with prompt caching, making it a lean alternative to monolithic context dumps.

Who should use this?

Claude Code power users tracking project rules, user feedback, or decisions across sessions, like indie hackers maintaining style guides or agency devs enforcing client prefs. Ideal for Python shops iterating on AGD workflows, or anyone hitting context limits in long-running code sessions.

Verdict

Try it if you're deep in Claude Codeโ€”solid docs and benchmarks make the 15 stars and 1.0% credibility score forgivable for v0.1. Maturity shows in 4 months of production use, but expect rough edges on high-fan-in graphs.

(198 words)

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