#multi-agent

subagent-mcp is an MCP stdio server that turns an AI coding assistant (Claude Code, Codex, Gemini CLI) into a manager of local Claude and Codex sub-agents on macOS, Linux, and Windows.

Visible multi-agent CLI workspace for mixing Codex, Claude, Gemini, Kimi, Qwen, Cursor, Copilot, Pi, OpenCode, and other AI coding agents

Typed Go SDK for bounded AI agent loops, tool calling, subagents, orchestration, and optional durable execution.

CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.

Open-source compiler for AI agents. Write one crewhaus.yaml; compile it to a CLI, a Slack bot, and an eval harness from the same spec. Apache-2.0.

Constraint-driven runtime for TypeScript. Declare requirements, let the runtime resolve them.

Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orchestration, long-running workflows, and AI productivity workspace.

A science agent supporting any general AI agent in performing data management operations at scale. Builds upon the heritage of the IOWarp platform and proudly represents work done at Gnosis Research Center at Illinois Tech. Supported by NSF.

AgentWorks: AI agents that own the work. Goals that chase a metric, and Crews your team asks from Claude, ChatGPT or Cursor. Open source.

CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.

All-in-one workspace for AI coding agents

Project Graphorin is a TypeScript framework for personal AI assistants and long-living agents with rich memory, durable workflow, and observability out of the box.

Queue-Based State Machine - A lightweight workflow execution engine with DAG-based stage orchestration. Unlike simple task queues (like Celery) or advanced orchestrators (like Highway), Stabilize strikes a balance specifically optimized for high-throughput, stateful DAG execution, making it highly suitable for coordinating autonomous AI agents

Run Claude Code, Codex, Copilot, Gemini, OpenCode and Amp side by side in isolated Git worktrees, with shared issue ownership, reservations and explicit handoffs.

Identity, memory & collaboration platform for AI agents — facts, memories, secrets, and inter-agent messaging via a CLI, MCP, and a Go server.

Tracks which agent wrote which lines when multiple AI agents share one Git checkout.

BonkLM - LLM Security Guardrails with Interactive Setup Wizard

Anti-hallucination AI agent kit for Cursor, Windsurf & Antigravity. 27 specialist agents, 17 slash commands, 8 Tribunal reviewers. Install: npx tribunal-kit init

Multi-agent orchestration harness for Claude Code + Codex — task lifecycle, handoff protocol, dashboard, and autonomous dispatch

An open-source framework for composing, running, and growing multi-agent AI swarms.

.NET pipeline framework for enterprise AI applications — multi-provider LLM integration, RAG pipelines, and multi-agent orchestration with a fluent builder API.

The .NET library to build AI agents with 30+ built-in connectors.

🛀 Soothe - An autonomous expert system engineered to orchestrate complex workflows and execute long-duration tasks with precision and persistence.

Intent-driven AgentOS for graph-based engineering workflows and agent orchestration

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

Build Your Agent Company with OMC

Build AI agent fleets. 3 lines, any backend, local or cloud. Effort-based model routing, 48 identities, knowledge graph memory, fleet orchestration.

Multi-agent orchestration plugin for OpenCode. 10 configurable model slots, 30 hooks, memory search, LSP diagnostics, agent-browser integration, completion controller, auto dream/distill memory consolidation. One prompt to set up and run.

Python framework for typed LLM agents with conditional tool chaining.

File-based kanban board for autonomous agentic loop. CLI and TUI for multi-agent workflows. Skills included.