gquthier

gquthier / CLAWG

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SMART-CLAWG β€” Open-source personal agent framework with a native shared Obsidian Second Brain. One context, every agent.

14
0
100% credibility
Found Apr 02, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

CLAWG is an open-source command-line tool for running customizable AI agents that share context and capabilities from a personal markdown notes vault called a Second Brain.

How It Works

1
πŸ” Discover CLAWG

You find CLAWG on GitHub and get excited about having smart AI helpers that share all your notes and knowledge from one place.

2
πŸ“₯ Install easily

Run a simple command to set it up on your computer, and it's ready in seconds.

3
πŸ“ Prepare your notes folder

Gather your important notes, ideas, and info into a special folder called your Second Brain.

4
πŸ”— Connect your brain

Tell CLAWG where your notes folder is so all your AI friends can read from the same shared wisdom.

5
πŸ§‘β€πŸŽ¨ Create your first agent

Pick a fun name like 'founder' and give it a personality from ready templates.

6
πŸ’¬ Start chatting

Type a request and watch your agent think, use tools, and get things done using your shared notes.

πŸš€ Agents alive and smart

Your AI team now works together from your personal knowledge vault, helping with anything you need.

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AI-Generated Review

What is CLAWG?

CLAWG is an open-source Python framework for personal AI agents sharing a native Obsidian Second Brainβ€”one context, every agent. Agents pull from a unified vault with master files like user.md and philosophy.md, plus skills, tools, and per-agent profiles like soul.md, synced via Obsidian for seamless markdown workflows. It delivers a portable brain for CLI sessions, multi-agent setups, and self-hosted gateways.

Why is it gaining traction?

The clawg hook is its clawgrip on shared context: edit in Obsidian, run agents from the same brain without silos, unlike fragmented frameworks. Batch runners generate trajectories for RL training, and toolsets like terminal or browser enable real tasks. Developers grab it for the open-source gateway hitting Telegram, Discord, and more, with clawgear-like durability for agent workflows.

Who should use this?

Obsidian users building personal agents for note-driven automation. Indie devs prototyping multi-agent systems with shared philosophy.md context. RL experimenters needing trajectory tools and environments like GSM8k, tired of context drift in solo agents.

Verdict

Promising 1.0% credibility early bet (14 stars) with punchy CLI like `clawg second-brain link` and vault bootstrap, but sparse tests demand caution. Fork for Obsidian-native clawg if clawgear ar15-grade agent persistence fits your brain.

(178 words)

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