Gitagent — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Gitagent. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jun 6, 2026 • Sentiment updated: Jun 18, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Every tool seems to have a coding agent horned in these days, as mentioned by Ben Halpern on Dev.to, and 'The AI world is full of old infrastructure with stochastic organs' also from Dev.to

Pros & Cons

What People Love

Open source nature, Dev.to community support

Common Complaints

Bug issues, Complexity

Biggest Positive: Open source

Biggest Negative: Bug issues

Why Gitagent Stands Out

The gitagent project provides a framework-agnostic, git-native standard for defining AI agents, making it easier to create, manage, and deploy AI agents across different frameworks and environments.

Built With

TypeScript, Git, Node.js

Getting Started

  1. Clone the repository
  2. Install dependencies with npm
  3. Create a new agent by adding required files (agent.yaml, SOUL.md, RULES.md, DUTIES.md)
  4. Define skills and tools in skills/ and tools/ directories
  5. Configure workflows and knowledge in workflows/ and knowledge/ directories

About

A universal git-native AI agent framework. Your agent lives inside a git repo — identity, rules, memory, tools, and skills are all version-controlled files.

Category & Tags

Category: coding

Tags: ai-agents, anthropic, assistant, llm, openclaw, personal

Market Context

Competitive AI market