supervisor-agent

Production ready LangGraph multi-agent orchestration template with supervisor routing, FastAPI + Streamlit chat UI, MCP tool calling, local RAG + knowledge graph retrieval, PostgreSQL memory, per-user auth, and CI/CD.

Multi-agent orchestration on top of Claude Code. Supervisor delegates, specialists execute, you gate. Browser-based IDE; local-first.

Build autonomous AI workflows with multi-agent orchestration, intelligent routing, hybrid RAG, knowledge graphs, MCP tools, persistent memory, and human-in-the-loop execution.

Two files. ~250 tokens. Zero drift.

ISC-CodeConnect is a sophisticated multi-agent Retrieval-Augmented Generation (RAG) system specifically designed for Salesforce development. Built with LangGraph and powered by IBM WatsonX.ai Granite models, it orchestrates a network of specialized AI agents .

安全优先、可断点续跑的 AI 监督 MOOC 挂机 skill（超星学习通 / 中国大学MOOC）：真实播放 ≤2x、凭据与课程即取即用、任务后清除、自适应登录、监督者-Runner 架构

One MCP server exposing many tools, multiple LangGraph agents each bound to a filtered subset, and a supervisor routing each question to the right agent - deployed with a browser chat UI. The point: tool filtering is a client-side concern, and it is one line.

LangGraph multi-agent orchestrator template — dynamic Supervisor routing, 5 example specialist agents, and optional human-in-the-loop review. POC tier of the Multi-Agent Orchestrator Template family: in-memory state, no auth, minutes to first run.

Build a production-ready multi-agent AI system using LangGraph, MCP, Supervisor Agents, Guardrails, Observability, and Human-in-the-Loop. Learn to coordinate specialized agents, integrate tools, add safety controls, enable approvals, and monitor agent workflows.

Prisma is a Python-based multi‑agent coding assistant that uses a supervisor agent to break down natural‑language coding requests into parallel subtasks handled by specialized sub‑agents, then synthesizes their results into a single, clear response.

One command. Real tmux parallelism. 3-layer mechanical verification.

Open, inspectable multi-agent research workbench: Supervisor → Planner(ToT) → parallel Researchers(ReWOO) → Critic → footnoted Writer, with trajectory + faithfulness eval.

Multi-agent orchestration using the Supervisor pattern with LangGraph, LangChain and Mistral AI — with Langfuse tracing.

🌊 WaveLength is a production-shaped multi-agent customer support system built with React, FastAPI & LangGraph. 🤖 It uses supervisor routing, specialist agents, verified customer context, persistent memory, database-backed tools, and live tracing to make every agent decision, tool call, and workflow step visible. 🚀

A microservice-first unified operations management platform covering host inventory, automation, application deployments, monitoring & alerting, and secure authentication. Helps your operations team deliver on the three pillars — standardization, automation and security.

Demo with a conversational AI assistant that lets you buy tickets through natural language chat.

Multi-Agent Supervisor Assistant with text and voice: an LLM Supervisor plans and routes to specialist agents (live Web News search via DuckDuckGo, News RAG over ChromaDB, a LangGraph tool-calling Product Shopper, general LLM). Whisper speech-to-text, OpenAI TTS, Gradio UI, Docker + GitHub Actions deploy to AWS ECS.