Production-ready platform for agentic workflow development.
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Updated
Sep 19, 2025 - TypeScript
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
🦾 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.
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.
TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, chatbots and more
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.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
A security scanner for your LLM agentic workflows
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