Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
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Updated
May 22, 2026 - Python
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
The agent engineering platform.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Build resilient agents.
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.
Build production-ready AI agents in both Python and Typescript.
✨ Build a machine learning model from a prompt
Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
For your multi-agent needs
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
A parallel framework for population-based multi-agent reinforcement learning.
The fastest way to bring multi-agent workflows to production.
基于大语言模型(LLM)和多智能体(Multi-Agent),探究AI写小说能力的边界
Build Your Agent Company with OMC
Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.
Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.
[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors
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