Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
- react-flow
- chatgpt
- large-language-models
- generative-ai
55,140 visible repositories in the index
1–24 of 39 · Most stars
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
LlamaIndex is the document processing platform for AI
Build and run agents you can see, understand and trust.
Mastra is the modern TypeScript framework for AI-powered applications and agents.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
open-source agentic AI data assistant for the next generation of AI + Data products.
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Generative UI SDK for React
Multi-Agent Harness for Production AI
Agentic AI Framework for Java Developers
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Build effective agents using Model Context Protocol and simple workflow patterns
A framework for building agentic apps
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Large Action Model framework to develop AI Web Agents
Build distributed, production-grade, long-running agents.
an ambient intelligence library
🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux, no preinstall, no hard Docker dependency.
Superduper: End-to-end framework for building custom AI applications and agents.
The Ruby AI framework.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.