agent-orchestration
57 servers · 3,235★ total
Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)
Forge Orchestrator: Multi-AI task orchestration. File locking, knowledge capture, drift detection. Rust.
Give AI agents ambitious work without losing the plot. nac is an open-source harness for long-running tasks, using a central orchestrator, threads, and structured episodes to stay aligned with your intent.
Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers
Evidence-gated runner for Codex, Claude Code, OpenCode, and local coding agents. Routes tasks into scoped DAG lanes with replayable artifacts.
Shared memory + orchestration for your coding agents — one MCP server, persistent vector memory, agent registry
Testing and observability for multi-agent delegation, MCP tools, permissions, sandboxed actions, prompts, and workflow replay.
Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems. Visual DAG workflows, 450+ MCP tools, human-in-the-loop approvals. Works with Claude, GPT-4o, Gemini, Ollama, Codex.
OpenHermit is the open-source platform for deploying fleets of AI agents as production services — durable state, sandboxed execution, managed at scale, and the channels you already use.
Telegram bot for Claude Code and Codex CLI with MCP routing, multi-agent orchestration, cron jobs, and access controls.
MCP server + CLI that lets Claude Code agents delegate tasks to agents in other project directories. Multi-agent orchestration: parallel dispatch, sessions, async jobs, agent dialogues.
The Private Agent OS — search files, run AI agents, connect to 10,000+ tools via the complete protocol stack (MCP, AG-UI, A2UI, A2A). Zero cloud. Zero telemetry. On-device inference.
Open-source multi-agent task board for OpenClaw. Kanban + DAG dependencies + MCP server + auto-retry + audit trail. Built for autonomous AI agent teams.
AI Governance Infrastructure — local evaluation. The governance layer for AI agents: a single compiled Rust binary that authenticates, authorises, rate-limits, logs, and costs every AI interaction. Self-hosted, air-gap capable, provider-agnostic.
cmux MCP server — 42 tools for terminal agent lifecycle management. Spawn, monitor, and orchestrate Claude, Codex, Cursor, Gemini, Kiro agents. Thinking-state detection, chunked input, layout management.
Turn the agent CLIs you already use into shared services your whole team can call. Natural-language-driven agent orchestration for Claude Code, Cursor Agent, and OpenAI Codex.
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
MoFlo — an opinionated, local-first AI agent orchestration toolkit for Claude Code: semantic memory, learned routing, gates, and spells. No API keys, no cloud, works out of the box.
Universal synchronization layer for AI orchestrators, agents, MCP configs, skills, commands, and dev-tool workflows.
Put an AI agent on rails: mount a Burr state machine as an MCP server so the agent can only take the next allowed step, with every step recorded and replayable.
Agent Orchestration: MCP server enabling multi-agent collaboration with shared memory, task queue, resource locks, Cursor rules, and AGENTS.md workflows.
Cord — distributed agent fabric for LLMs, MCP servers and AI agents. Discover any LLM CLI / HTTP backend / MCP server across machines via natural-language semantic search. Built in Rust.
Local message bus for Claude Code, Codex, and other MCP agents — one SQLite file, 20 tools, no daemon, no cloud.
Developer integration tools for adding TDM payments to AI agents, apps, and workflows. CLI, MCP server, and copy-paste examples
The governed AI agent platform: semantic memory, intelligent model routing, an MCP server, and 67+ integrations.
Event Horizon is a VS Code extension that visualizes AI coding agents as a living cosmic system. Instead of viewing logs, terminals, or raw agent output, developers observe agent behavior in real time through an interactive universe.
AgentWorks: the open-source control plane for running, measuring, and improving AI agent workflows across your company.
MCP server with 40 tools for AI agents. Memory, web fetch, search, file ops, screenshots, and multi-agent coordination in one Go binary.
Aixle Flow — orchestrate coding agents through durable, inspectable workflows.
Event-driven MCP bridge for orchestrating ZCode, OpenCode, and Pi through a unified agent-* toolset, with concurrent runs, resource leases, session recovery, and backend-aware permissions.
面向智能座舱的云边协同 AI Agent：端侧毫秒级车控，云端声明式 Multi-Agent 与 Skill/DAG 编排，支持 S2S 实时语音、声纹多用户、视觉与 HMI；LLM 只负责理解与规划，VAL 负责确定性安全执行。
Local room where AI coding agents collaborate on one codebase via MCP — collisions prevented, human in command.
An agent runtime designed for tool-driven loop engineering.
Markdown-first multi-model AI orchestration in one tmux session. A single coordinator (Chrono) routes scoped markdown task packets across 4 frontier model lanes (GPT-5.6 Sol / Claude Opus 5 + Fable 5 / Gemini 3.5 / Kimi K3) and 73 role-based specialists — with cross-family review gates, git-snapshot safety rails, and no server. Dogfooded.
Functional Python agent framework with MCP support, enterprise security, immutable state, and production-ready observability for building scalable AI systems.
One home for every idea — local-first macOS desktop app for tracking work-in-flight with linked repo worktrees, context files, external resources, and AI agent sessions, all per-idea.
Local-first multi-agent platform built on DeepAgents. Gateway, Agent Worker, and Web UI for orchestrating autonomous AI agents.
A self-hosted, observable orchestrator for multi-agent workflows on your repos. Compose from skills and memory, run on events or cron, dispatch between agents.
AI governance infrastructure for agentic systems. Rust library behind systemprompt.io — MCP, A2A, OAuth2, audit trails, compile-time extensions. Evaluate with systemprompt-template.
Agentic AI orchestration framework for offensive security and CTF work, with Codex-ready skills, typed MCP servers, workflow CLIs, and OpenCROW Constellation for multi-agent coordination, corpus sync, and final artifact handoff.
Autonomous coding agent orchestration. Give it a goal, walk away, come back to finished work. Eval loops, multi-agent pipelines, DAG dependencies, crash-proof persistence.
Contract-first orchestration for long-running coding agents: scoped work records, local dispatch, review evidence, and enforcement provenance.
Configurable AI agent orchestration, delegation, memory, and project context through MCP.
Open-source, local-first control plane for multi-model AI coding agents in VS Code and MCP: task DAGs, source intelligence, durable context and evidence-based review.
MCP control surface for Orcho's durable AI software delivery lifecycle
Spawning ten coding agents is easy, knowing which one needs you isn't. A cockpit for running, reviewing and orchestrating a fleet of AI agents.
A desktop app for building, running, and supervising small teams of AI agents. MCP-native tools, shared workspaces, and scheduled automations.
AI Governance Infrastructure — open gateway demo. Self-hosted systemprompt.io gateway in a single Rust binary: policy, audit trails, and cost attribution on every AI request, with the Systemprompt Bridge desktop app for Windows and macOS connecting Claude Code and Claude Cowork.
Open-source control plane for self-hosted AI Agents: registry, runs, workflows, User Tokens, A2A/MCP APIs, and reliable Runtime Worker routing.
AI agent evaluation framework for multi-participant coordination tasks. Built with LangGraph, custom MCP tools, and LLM-as-a-Judge evaluation. MSc dissertation project (University of Edinburgh, 2025).
Planning framework for Claude Code agents — sprint/epic/story protocol, four-agent loop (architect/developer/qa/reporter), Karpathy-style awareness wiki.
Nine open-source AI projects. One operating system. One Control Room. opencode + hermes + openclaw + CrewAI + claude-code + LifeOS + Fabric + Ponytail + Ruflo — auto-configured, self-healing, Docker-ready.