GitHub repo leaderboard by stars, growth rate and activity.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Open-source AI coworker, with memory
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.
Build production-ready AI agents in both Python and Typescript.
✨ Build a machine learning model from a prompt
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | Python | 154,558 | last pushed 3 hours ago | |
| 2 | The agent engineering platform. | Python | 146,096 | last pushed 7 hours ago | |
| 3 | TradingAgents: Multi-Agents LLM Financial Trading Framework | Python | 104,529 | last pushed 3 days ago | |
| 4 | Build resilient agents. | Python | 41,426 | last pushed 11 hours ago | |
| 5 | Open-source AI coworker, with memory | TypeScript | 17,523 | last pushed 10 hours ago | |
| 6 | AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework | TypeScript | 10,587 | last pushed 2 weeks ago | |
| 7 | An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows. | Python | 4,932 | last pushed 4 hours ago | |
| 8 | Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI. | Java | 3,810 | last pushed 22 hours ago | |
| 9 | Build production-ready AI agents in both Python and Typescript. | Python | 3,391 | last pushed 3 days ago | |
| 10 | ✨ Build a machine learning model from a prompt | Python | 2,619 | last pushed 6 months ago |
All · 11,658