Orchestrators & Multi-Agent tools for LangChain / LangGraph

An effortless way to experiment and prototype LangChain flows with drag-and-drop components and a chat interface

Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider resilience (automatic failover on 429/500 errors), budget guardrails, or the ability to swap models wit

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

Next-generation personal AI assistant powered by LLM, RAG and agent loops. Supports computer-use, browser-use, coding agent, 30+ model providers, visual workflow builder, and MCP tools. Self-hostable with admin dashboard

A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。

Repo for AI Agents The Definitive Guide

MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time compute

Production-ready open-source runtime focused on two pieces many agent frameworks leave underspecified: secure sandbox execution and durable agent serving. The "Agent as API" model, async sandbox types, and built-in state/sandbox lifecycle management make it one of the few 2026 projects tackling runtime concerns directly instead of stopping at orchestration abstractions

🔎 深度研搜对话式多智能体 AI Agents，最适合系统学习 DeepAgents 的实战项目｜AI Deep Research Agent 实战 · LangGraph + RAGFlow + Tavily + FastAPI + WebSocket 从0到工程化落地。前后端完整代码全栈可跑，Docker 环境一键部署，配套 ai-agents-from-zero 免费教程与章节代码分支。适合系统学习大模型应用、多智能体 Agent 和企业级 AI 工程落地

Self-hosted platform where persistent bots with tools, MCP servers, and long-term memory hand work to each other in shared threads and can stop to ask a human before a sensitive action

Multi-agent pipeline that turns a company name + domain into an evidence-labeled business model report; runs JTBD, value proposition, GTM, unit economics, moat, canvas synthesis, and an assumption stress test, tagging every claim verified, inferred, or missing. Built on LangGraph; deterministic unit economics in Python