High-agency PowerShell AI framework for multi-agent orchestration and autonomous systems engineering
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Updated
Mar 22, 2026 - PowerShell
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.
The only open-source AI orchestrator that replaces $50k/yr enterprise tools. 8 autonomous agents, 7 languages, Vision-to-Code, 100% free on Groq. 🚀
A Model-Agnostic, Git-Sandboxed Multi-Agent Nexus MCP Server.
LLM councils plan it. Ralph loops recover it. OpenCode worktrees ship it.
A structured multi-agent orchestration stack for Roo Code - hierarchical pipeline of specialized AI modes from strategic planning to atomic execution, with automated semantic versioning and releases. Runs way past 48 Hrs with latest long running Models!
A production-grade, multi-agent DevOps orchestration system that detects incidents from live logs, performs Root Cause Analysis, self-corrects its own patches through a cyclic verification loop, and opens a GitHub Pull Request all running entirely on a local NVIDIA GPU via Ollama.
A full-stack RAG demo you can run locally or deploy to a VPS: upload a PDF, build a per-browser vector index (FAISS), chat with an LLM using retrieved context. The UI is a React + TypeScript SPA; the API is FastAPI + LangChain with a multi-agent pipeline, Sentry tunneling, & sensible production defaults (CORS, rate limits, session disk cleanup)
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.
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.
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