High-agency PowerShell AI framework for multi-agent orchestration and autonomous systems engineering

One prompt. A full AI engineering team. Go lie on the couch. 🧠

Async-first meta framework for building enterprise-grade multi-agent systems.

Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.

Automatos AI: Open-source platform for advanced context engineering and multi-agent orchestration in enterprise automation. Built on frontier research in RAG, vector embeddings, cognitive tools, emergent symbols, and neural field theory—powered by FastAPI, Next.js, and PostgreSQL.

Exploring and demonstrating OpenAI's Swarm framework

One-Click Legal-Swarm-Template

6 Claude Opus 4.6 AI agents built a complete Claude Cowork plugin in 5 minutes, then 6 more agents wrote 5,298 lines of documentation in 4 minutes. An educational showcase of Agent Team orchestration, task dependency management, and parallel AI coordination.

Production-ready Python framework for AI agents with built-in guardrails, audit logging, cost tracking, and hybrid RAG. Supports OpenAI, Anthropic, Gemini, Ollama. By NichevLabs.

A Model Context Protocol (MCP) TypeScript template with multi agents that can send Emails, schedule meetings and answer knowledge-base related questions.

Multi-agent orchestrator for AI coding tools

🤖 Showcase how six AI agents collaborate to build a full Claude Cowork content plugin in minutes using Agent Teams.

A Model-Agnostic, Git-Sandboxed Multi-Agent Nexus MCP Server.

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.

Orchestrate multiple AI coding agents in parallel from a chat platform

AgentEnsemble is a Production-ready multi-agent orchestration for Python. ReAct, Swarm, Pipeline, Debate, Router, Planner, WorkflowGraph. Observability, cost tracking, human-in-loop. Structured outputs via Pydantic + LangChain.

Multi-agent orchestration CLI for AI coding tools. Chain Claude Code, Antigravity, and Codex with validated handoffs, JSONL audit logging, hybrid cloud/local routing, and speculative decoding for local LLMs.

AI kernal/api/ui multi-agent orchestration

A series of notebooks exploring the capabilities of LangGraph for building agentic workflow, from ReAct Agents to Multi-Agent Orchestration with memory and human-in-the-loop

Arogya Wellness Assistant is an AI-powered health platform built with LangChain that uses multiple specialized agents to provide personalized guidance on symptoms, diet, fitness, and lifestyle.