codejunkie99

codejunkie99 / agentic-stack

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One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClient, AirMaze, or DIY Python — and keeps its knowledge when you switch.

27
0
100% credibility
Found Apr 16, 2026 at 46 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A portable folder system that adds layered memory, loadable skills, safety rules, and learning cycles to AI coding assistants across multiple compatible tools.

How It Works

1
📰 Discover the smart AI brain

You hear about a handy folder that gives your coding AI helper a lasting memory and useful skills, working with whatever tool you like.

2
📥 Add it to your project

You grab the folder and drop it right into your work project with a simple setup command.

3
Pick your AI companion
🤖
For chatty code helpers

Links smoothly with tools that chat and edit code directly.

✨
For speedy editors

Plugs into fast AI editors that suggest and write code.

🚀
For custom setups

Works with your own AI runner for full control.

4
✏️ Share your preferences

Edit one simple note file to tell it your working style, rules, and what matters most to you.

5
💭 Chat and watch it remember

Talk to your AI as usual, and it pulls up past lessons, uses smart skills, and notes what happens – feeling like it truly learns!

6
🌙 Let it dream overnight

Set it to review the day's work while you sleep, making memories sharper and skills better.

🎉 Your AI grows wise

Over time, your helper remembers everything important, stays safe with built-in rules, and handles tasks like a pro teammate.

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Star Growth

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AI-Generated Review

What is agentic-stack?

Agentic-stack is a Python-based agentic AI development stack that drops a portable `.agent/` folder into any project, packing memory layers, skills, and protocols into one brain that works across Claude Code, Cursor, Windsurf, OpenCode, OpenClient, Hermes, or a standalone Python loop. It solves the pain of switching AI harnesses and losing your agent's knowledge—everything persists seamlessly. Install with a one-click brew command or git clone plus `./install.sh `, then tweak preferences and run a nightly dream cycle via cron for auto-compression.

Why is it gaining traction?

Its killer hook is true portability: seed skills like git-proxy and skillforge load on-demand, permissions block risky ops, and episodic memory feeds semantic lessons without vendor lock-in. Developers dig the progressive skill loading and salience-scored retrieval that keep contexts lean under token budgets. In a world of fragmented agentic stacks, this one's brain stays yours, no matter the harness.

Who should use this?

Full stack developers building agentic AI apps who bounce between Cursor and Claude Code. Teams standardizing an agentic AI stack for enterprises, especially with git-heavy workflows or RAG needs. Solo devs prototyping multi-tool setups without rebuilding memory from scratch.

Verdict

Grab it if you're deep in agentic stacks—27 stars and 1.0% credibility scream early days with thin tests, but solid docs and MIT license make it a low-risk experiment. Polish the dream cycle and add more seed skills to hit escape velocity.

(198 words)

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