Production-ready platform for agentic workflow development.
12 Lessons to Get Started Building AI Agents
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.
Install, run and deploy your own decentralized AI agent service
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing and MCP tools.
Optimizing inference proxy for LLMs
MemU is an open-source memory framework for AI companions
Build Anything with AI Agents
China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intelligent agents, workflows, and rag, and also supports model management. The platform features a developer-friendly license, and we welcome all developers to build upon the platform.
🦾 Take control of your AI agents
OctoTools: An agentic framework with extensible tools for complex reasoning
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, chatbots and more
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. With its modular architecture it's best suited for building RAG, multi-agent workflows, or business process automations.
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
A security scanner for your LLM agentic workflows
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