Stars
🤖 Write and Run AI Agents with Markdown. Run automated AI agents with ease.
Render markdown on the CLI, with pizzazz! 💅🏻
Production-ready multi-agent AI orchestration platform. YAML-first configuration with PostgreSQL, RAG, hot reload, and MCP integration. Built on Agno. From zero to intelligent AI systems in 5 minutes.
Kanban board to manage your AI coding agents
A Jupyter notebook whisper interface library
Agent testing library that uses an agent to test your agent, in Typescript.
The pretty much "official" DSPy framework for Typescript
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
A practical approach to managing multiple AI agents in Cursor through strict file-tree partitioning and domain boundaries.
The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
Helping you select an AI agent framework
Agent testing library that uses an agent to test your agent, in Go.
Inspect: A framework for large language model evaluations
Build resilient language agents as graphs.
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
The Video Creation Engine: Edit videos with code, featuring the fastest WebCodecs renderer for in-browser video processing.
Model Context Protocol Servers
A framework for pitting LLMs against each other in an evolving library of games ⚔
Make any LLM to think like OpenAI o1 and deepseek R1
Notebooks showcasing diverse AI projects, featuring code snippets, drafts, and prototypes
Unified framework for building enterprise RAG pipelines with small, specialized models
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…