jasonatgit

jasonatgit / echomind_memory.skill

Public

An AI Multi-Agent memory system that remembers your code style, fixes, and preferences — for Hermes-Agent.OpenClaw,Opencode,Claude Code, etc.

10
0
85% credibility
Found May 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

EchoMind Memory is a long-term memory system that gives AI assistants the ability to remember information across conversations. It stores six types of memories: your preferences and habits, ongoing tasks, research papers and notes, past experiences and solutions, general knowledge, and conversation history. The system uses reinforcement learning to automatically improve which memories it retrieves over time based on your feedback. All data is stored locally in a single SQLite database file, keeping your information private and requiring no external services. EchoMind integrates with multiple AI assistant platforms, automatically remembering your coding style, research interests, and personal preferences so you don't have to repeat yourself session after session.

How It Works

1
💭 You want your AI to remember you

You've been using an AI assistant, but every conversation feels like starting from scratch. You wish it remembered your preferences and past work.

2
You connect EchoMind to your AI assistant
🤖
Hermes Agent users

Copy the plugin folder and enable it in settings. Everything works automatically from now on.

💻
Other AI assistants

Start a small background service on your computer. Your AI assistant connects to it automatically.

3
✨ You start chatting with your AI

You continue your normal conversations. EchoMind quietly watches and remembers everything in the background.

4
🧠 Your AI suddenly knows you

The next time you chat, your AI recalls your coding style, your research interests, and your preferences without you saying anything.

5
👍 You give feedback to help it learn

When the AI gives you something useful, you give it a thumbs up. When it's off track, you let it know. The system gets smarter with each interaction.

🎉 Your AI becomes a true collaborator

Months later, your AI remembers every project you've worked on, every paper you've read, and every preference you've shared. It feels like talking to someone who truly knows you.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 10 to 10 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is echomind_memory.skill?

echomind_memory.skill is a Python-based long-term memory system for AI agents. It gives your coding assistant a persistent memory that remembers your preferences, past fixes, and coding style across sessions. The system stores six types of memory—context, task history, user preferences, knowledge, experience, and research—using SQLite with no external infrastructure required. It integrates with multiple AI coding platforms including Hermes-Agent, OpenClaw, OpenCode, and Claude Code, offering both automatic memory hooks and HTTP API access.

Why is it gaining traction?

The hook is clear: your AI stops forgetting who you are. Unlike generic context windows, this system builds a persistent profile over time. The RL-powered weight optimizer learns from your feedback—when you thumbs-up or thumbs-down retrieved memories, the system adjusts which memories it surfaces next. Platform-aware tagging means memories from your work in one environment don't bleed into another. The zero-dependency SQLite storage is particularly appealing for developers who want persistence without Docker or Redis overhead.

Who should use this?

Researchers in management science and operations research will find the built-in domain detection for supply chain, queuing theory, and optimization useful. Developers working across multiple AI coding tools (switching between Claude Code and OpenClaw, for example) benefit from platform-isolated preferences. Teams wanting their AI assistant to remember "we prefer concise code with no comments" without re-explaining every session will get immediate value. It's less compelling for single-use or ephemeral coding tasks.

Verdict

This is a genuinely interesting project with a solid architectural foundation, but the 10-star count signals early-stage maturity. The documentation is thorough and the SQLite-only storage is a smart simplicity bet, but teams should test thoroughly before production use. The 0.85% credibility score reflects a small but active development footprint. Worth evaluating for multi-agent workflows where memory persistence across sessions would reduce friction—watch the repo for growth signals.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.