dezgit2025

dezgit2025 / auto-memory

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Your AI coding agent never forgets — progressive session recall CLI

44
1
69% credibility
Found Apr 22, 2026 at 44 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A tool that reads GitHub Copilot CLI's local history database to list, search, show, and analyze past coding sessions.

How It Works

1
🔍 Discover Past Chats

You realize your coding helper has forgotten previous conversations and want an easy way to bring them back.

2
📥 Get the Helper

Download and run a simple setup file that adds a memory tool for your coding sessions in one go.

3
✅ Everything Ready

Your memory tool is set up and quietly watches your coding helper's history without changing anything.

4
Explore Your History
📋
See Recent Ones

View the latest chats and files to refresh your memory fast.

🔎
Search for Something

Find specific topics or words from old conversations instantly.

📊
Check Everything

Review health and details to ensure your history is complete and fresh.

5
📖 Review Details

Read summaries, messages, files touched, and progress points from any past session.

🧠 AI Never Forgets

Now your coding helper remembers every past step, making work smoother and faster.

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Star Growth

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AI-Generated Review

What is auto-memory?

Auto-memory is a Python CLI tool that unlocks GitHub Copilot CLI's local session database, giving your AI coding agent persistent memory across interactions. Fire up session-recall list for recent sessions by repo, search for full-text matches in turns or files, show detailed turn-by-turn history with checkpoints, or run health checks across nine metrics like freshness and latency. It fixes the "amnesiac" problem where coding agents forget prior context, enabling progressive recall like an auto memory saver for Copilot workflows.

Why is it gaining traction?

Unlike vanilla Copilot or generic coding agent github tools, it auto-detects repos, filters by days, and outputs JSON for pipelines—perfect for coding agents comparison or benchmarks. The health command spots issues fast, while search blends FTS and file patterns for reliable hits, standing out in the open source coding agent space over clunky alternatives like auto-memory claude hacks. Devs hook on its zero-config install via uv or pipx and Copilot-specific schema checks.

Who should use this?

GitHub Copilot CLI power users auditing AI sessions for debugging or refactoring, teams running coding agent benchmarks on repo history, or indie devs building local LLM coding agents needing session recall. Suited for backend engineers reviewing tool calls in past turns, not casual autocomplete folks.

Verdict

Grab it if Copilot CLI is your daily driver—the list/search/show flow delivers immediate wins, even at 44 stars and 0.7% credibility score marking alpha maturity with thin docs. Run schema-check often to dodge Copilot updates; otherwise, wait for more polish.

(198 words)

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