agynio

Global, unlimited persistent memory for Claude Code agents. Context-activated hints injected automatically via hooks using scatter-gather map-reduce.

15
1
100% credibility
Found Apr 06, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A tool providing persistent cross-session memory for Claude Code agents via automatic context-based retrieval of user-saved notes.

How It Works

1
📰 Discover memory boost

You hear about a helpful add-on that lets your AI coding assistant remember things from past chats so it doesn't repeat mistakes.

2
🔧 Set it up quickly

You connect your AI service and run a simple setup to get everything ready in your coding folder.

3
🚀 Start your session

You begin working with your AI assistant, and it automatically gets hints from past memories before each action.

4
💡 Memories come alive

Your AI pulls up just the right past notes at the perfect time, making it smarter and faster without you lifting a finger.

5
📝 Save or find notes

When something important happens, you tell it to save a note, or search for old ones if needed.

6
📊 Check what's stored

You peek at the status to see how many memories are saved and tweak settings if you want.

🎉 Smarter assistant forever

Now your AI buddy remembers preferences, fixes, and decisions across every session, saving you time and frustration.

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Star Growth

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AI-Generated Review

What is claude-map-reduce-memory?

This TypeScript CLI delivers global, unlimited persistent memory for Claude Code agents, solving the reset-to-zero problem across sessions. Agents store notes with plain-language activation conditions using `cmr-memory write "note" --when "condition"`, while PreToolUse hooks automatically retrieve and inject relevant hints via scatter-gather map-reduce on Anthropic's API. Users get bounded context that recalls decisions, bugs, and prefs without manual re-prompting.

Why is it gaining traction?

It beats Claude's per-repo MEMORY.md by storing globally—like github global instructions or global github config—and surfacing hints only when needed, keeping sessions lean. The single-command init hooks into Claude settings, enables manual `retrieve` queries, and scales with prompt caching for low-cost, automatic agent memory. Devs dig the no-server simplicity for building smarter, stateful coding agents.

Who should use this?

Claude Desktop power users crafting agents for multi-session tasks, like debugging repos or generating codebases with persistent knowledge. Perfect for devs managing global github secrets, global-search across projects, or global unlimited task squads where agents must remember user prefs and architecture choices. Avoid for quick, stateless prompts.

Verdict

Worth testing for Claude-heavy workflows despite 15 stars and 1.0% credibility—strong README, easy CLI, clean uninstall, but unproven at scale. Early maturity means monitor for outages; pairs well with global github actions for agent-driven dev.

(178 words)

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