# Awesome Multi-Agent Orchestrators [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) > An awesome-style, selectively curated list of open-source and publicly documented multi-agent orchestrators, coding-agent workspaces, agent runtimes, company operating systems, and adjacent governance layers. [Website](https://openorchestrators.org/) • [Contributing](./CONTRIBUTING.md) The public website is [Open Orchestrators](https://openorchestrators.org/). This repo is intentionally narrow: it is not a general AI tools list. Projects belong here when multi-agent coordination, parallel agent execution, agent workflows, or agent-centered operating systems are the product, not a side feature. Governance and enforcement layers are tracked separately when they control agent actions, permissions, approvals, budgets, trust, settlement, or audit trails without acting as the orchestrator itself. ## Latest Additions - [Bunkhouse](https://github.com/braedonsaunders/bunkhouse) - AGPL-3.0 AI employees for main-street business with a company inbox, org chart, and governed procedures. - [LoopTroop](https://www.looptroop.ovh/) ([GitHub](https://github.com/looptroop-ai/LoopTroop), [Docs](https://www.looptroop.ovh/docs/)) - MIT-licensed local GUI orchestrator for repo-scale coding tickets: multi-model council planning, atomic milestone decomposition, isolated OpenCode worktrees, fresh-context recovery loops, and human approval gates. - [Wave](https://wave.davidsling.in) ([GitHub](https://github.com/david-sling/wave)) - MIT-licensed zero-install channel where coding agents owned by different people exchange messages over HTTP long-poll while their humans watch and steer the shared transcript from a browser; the join prompt is the only setup. - [GraphCode](https://graphcode.app/) ([GitHub](https://github.com/scgopi/GraphCode), [Releases](https://github.com/scgopi/GraphCode/releases)) - FSL-1.1-MIT native macOS workspace that arranges coding-agent sessions into a graph, where every node is a live terminal and hand-off, message, and spawn edges fire unattended when a goal-based loop's shell predicate exits 0. - [Crewplane](https://github.com/crewplaneai/crewplane) ([GitHub](https://github.com/crewplaneai/crewplane), [Docs](https://github.com/crewplaneai/crewplane/tree/master/docs)) - Apache-2.0 orchestrator that turns Claude Code, Codex, Gemini CLI, Copilot CLI, and other command-line agents into structured, repeatable Markdown workflows with resumable execution and inspectable local run records. - [Agon](https://github.com/AutoResearch-Factory/Agon) ([Paper](https://arxiv.org/abs/2606.24177)) - Autonomous research system that coordinates scientist, coder, and auditor loops from topic to idea, proposal, experiment, and paper. - [Agent Swarm](https://agent-swarm.dev) ([GitHub](https://github.com/desplega-ai/agent-swarm), [Docs](https://docs.agent-swarm.dev), [Dashboard](https://app.agent-swarm.dev)) - MIT-licensed lead/worker orchestration framework where a lead agent receives tasks from Slack, GitHub, GitLab, Linear, Jira, email, WhatsApp, or the API and delegates to worker agents running in isolated Docker environments with persistent vector-searchable memory, persistent SOUL/IDENTITY identity, DAG workflows with HITL gates, scheduled tasks, MCP servers, and harness-agnostic execution across Claude Code, Codex, pi-mono, Devin, Claude Managed Agents, and opencode. - [the-perfect-orchestrator](https://github.com/daman8271/the-perfect-orchestrator) ([Website](https://the-perfect-orchestrator.vercel.app/), [Recorded fleet run](https://github.com/daman8271/the-perfect-orchestrator/tree/main/docs/realrun-2026-06-06)) - MIT-licensed bash and tmux harness where one lead Claude Code session spawns, briefs, monitors, and adversarially verifies multiple autonomous worker sessions, with plain-file coordination and no daemons. - [Helmor](https://helmor.ai/) ([GitHub](https://github.com/dohooo/helmor), [Releases](https://github.com/dohooo/helmor/releases)) - Apache-2.0 local-first IDE and workbench for orchestrating Claude Code, Codex, and other coding agents across worktrees through planning, running, review, testing, merge, and shipping loops. - [Open Swarm](https://openswarm.com/) ([GitHub](https://github.com/openswarm-ai/openswarm), [Docs](https://docs.openswarm.com), [Releases](https://github.com/openswarm-ai/openswarm/releases)) - MIT-licensed local mission-control center for launching, monitoring, approving, and coordinating multiple AI agents in parallel. - [oh-my-codex](https://github.com/Yeachan-Heo/oh-my-codex) ([Website](https://yeachan-heo.github.io/oh-my-codex-website/), [npm](https://www.npmjs.com/package/oh-my-codex)) - MIT-licensed workflow layer for OpenAI Codex CLI with stronger default sessions, reusable skills, native hooks, HUD/status surfaces, project guidance, and team-style execution commands. - [Sandcastle](https://github.com/mattpocock/sandcastle) ([npm](https://www.npmjs.com/package/@ai-hero/sandcastle)) - MIT-licensed TypeScript library and CLI for orchestrating AI coding agents in isolated sandboxes with branch strategies, hooks, logs, templates, and merge-back workflows. - [NanoClaw](https://nanoclaw.dev/) ([GitHub](https://github.com/qwibitai/nanoclaw), [Docs](https://docs.nanoclaw.dev/)) - MIT-licensed personal AI assistant that runs Claude agents in isolated containers, connects to chat channels, keeps memory, schedules work, and uses skills as git branches. - [Orca](https://www.onorca.dev/) ([GitHub](https://github.com/stablyai/orca)) - Worktree-based IDE for running Claude Code, Codex, OpenCode, and other coding agents side by side across isolated git branches with review and PR workflow support. - [Superset](https://superset.sh/) ([GitHub](https://github.com/superset-sh/superset)) - Local code editor and control plane for parallel CLI coding agents across isolated git worktrees. - [Hermes Agent](https://hermes-agent.nousresearch.com/) ([GitHub](https://github.com/NousResearch/hermes-agent), [Nous Research X](https://x.com/NousResearch), [Teknium X](https://x.com/Teknium)) - MIT-licensed autonomous agent from Nous Research with persistent memory, self-created skills, scheduled automations, subagents, sandboxed execution, and messaging gateways. - [Nomad Inno](https://nomadinno.com/) ([X](https://x.com/NomadInnoMT)) - Malta-based AI innovation group helping organizations understand, implement, and scale AI through consulting, custom development, workflow automation, and AI products. - [Crewlet](https://www.crewlet.io/) ([X](https://x.com/crewlet_)) - Closed autonomous company OS for a self-improving multi-agent growth team with persistent memory, tool access, human review, and auto-run paths. - [Agent Office Suite](https://www.agentofficesuite.com/) ([GitHub](https://github.com/manpoai/AgentOfficeSuite), [Manpo X](https://x.com/manpoai)) - Apache-2.0 self-hosted office suite where agents collaborate with humans on docs, databases, slides, and flowcharts through MCP, contextual comments, version history, and traceable edits. - [Vibe Kanban](https://vibekanban.com/) ([GitHub](https://github.com/BloopAI/vibe-kanban)) - Apache-2.0 Kanban workspace for planning, running, reviewing, previewing, and shipping parallel coding-agent work across Claude Code, Codex, Gemini CLI, OpenCode, and related agents. - [Microsoft Agent Governance Toolkit](https://github.com/microsoft/agent-governance-toolkit) - MIT-licensed runtime governance toolkit for AI agents with deterministic policy enforcement, zero-trust identity, execution sandboxing, SRE controls, and compliance checks. - [Databricks Unity AI Gateway](https://www.databricks.com/blog/ai-gateway-governance-layer-agentic-ai) - Commercial Databricks platform layer for governing LLM access, MCP servers, APIs, observability, costs, guardrails, fallbacks, and rate limits in agentic AI workflows. - [Veto](https://veto.so/) ([GitHub](https://github.com/PlawIO/veto)) - Apache-2.0 AI agent authorization layer that intercepts tool calls before execution, evaluates policy, routes approvals, and records audit evidence. Veto Cloud is commercial. - [Code Atelier Governance SDK](https://www.codeatelier.tech/governance) - Python SDK for pre-execution agent governance gates: scope checks, budgets, approvals, loop detection, halt/presence handling, and tamper-evident Postgres audit trails. - [Squad](https://bradygaster.github.io/squad/) ([GitHub](https://github.com/bradygaster/squad)) - Alpha GitHub Copilot-based agent team system with repo-native specialist agents, persistent memory, coordinator routing, parallel work, and CLI/SDK packages. - [Lanes](https://lanes.sh/) - macOS workspace where Claude Code, Codex, Gemini CLI, and other agentic CLIs run parallel sessions with PTYs, boards, worktrees, diffs, and resume. - [SIDJUA](https://www.sidjua.com/) ([GitHub](https://github.com/GoetzKohlberg/sidjua)) - Governance-first AI agent orchestration platform with pre-action controls, budgets, approvals, classifications, and audit trails. - [Agentix Labs](https://www.agentixlabs.com/) - Implementation services entry, tracked separately from orchestrators because it helps teams deploy and harden production agent systems. - [SettleBridge](https://settlebridge.ai/) ([GitHub org](https://github.com/a2a-settlement)) - Trust and policy gateway for agent-to-agent settlement, reputation checks, spending limits, provenance requirements, escrow, dispute resolution, marketplace bounties, and cryptographic audit trails. - [handoff](https://github.com/dazuiba/handoff) ([GitHub](https://github.com/dazuiba/handoff)) - MIT cross-agent task dispatcher; delegate work to DeepSeek V4, Codex, or Opus without leaving your Claude Code / Codex session. Runs in background, result returns automatically. ## Contents - [News](#news) - [Parallel Coding-Agent Runners](#parallel-coding-agent-runners) - [Multi-Agent Platforms And Builders](#multi-agent-platforms-and-builders) - [Coordination And Team Systems](#coordination-and-team-systems) - [Not Open But Important](#not-open-but-important) - [CLI Agent Session Workspaces](#cli-agent-session-workspaces) - [Governance And Enforcement](#governance-and-enforcement) - [Agent-Friendly Tooling](#agent-friendly-tooling) - [Implementation Services](#implementation-services) - [Contributing](#contributing) - [Local Development](#local-development) ## News Open Orchestrators is also a lightweight news site for meaningful updates from projects already in the directory. - Add news posts as Markdown files in [`src/content/news`](./src/content/news). - Set `playerSlug` to the matching entry in [`src/data/orchestrators.ts`](./src/data/orchestrators.ts). - Include `sourceName` and `sourceUrl` when the post is based on an official announcement, docs page, or repository update. - The homepage renders the latest story alongside the directory; `/news/` is the full archive. ## Parallel Coding-Agent Runners Tools for running multiple coding agents simultaneously, usually with git worktree isolation, terminal/session management, review surfaces, or issue-to-agent routing. - [LoopTroop](https://www.looptroop.ovh/) ([GitHub](https://github.com/looptroop-ai/LoopTroop), [Docs](https://www.looptroop.ovh/docs/)) - Local GUI orchestrator for multi-stage coding tickets using LLM-council planning, atomic bead decomposition, isolated OpenCode worktrees, and fresh-context recovery loops. - [GraphCode](https://graphcode.app/) ([GitHub](https://github.com/scgopi/GraphCode), [Releases](https://github.com/scgopi/GraphCode/releases)) - FSL-1.1-MIT native macOS workspace that arranges coding-agent sessions into a graph, where every node is a live terminal and hand-off, message, and spawn edges fire unattended when a goal-based loop's shell predicate exits 0. - [Helmor](https://helmor.ai/) ([GitHub](https://github.com/dohooo/helmor)) - Apache-2.0 local-first IDE and workbench for orchestrating Claude Code, Codex, and other coding agents across worktrees through planning, running, review, testing, merge, and shipping loops. - [Open Swarm](https://openswarm.com/) ([GitHub](https://github.com/openswarm-ai/openswarm), [Docs](https://docs.openswarm.com)) - MIT-licensed local mission-control center for launching, monitoring, approving, and coordinating multiple AI agents in parallel. - [Gas Town](https://github.com/gastownhall/gastown) ([GitHub](https://github.com/gastownhall/gastown)) - Multi-agent workspace manager for Claude Code, GitHub Copilot, Codex, Gemini, and other coding agents with persistent work tracking. - [Multica](https://multica.ai/) ([GitHub](https://github.com/multica-ai/multica)) - Managed agents platform where coding agents act like teammates, take issues, and reuse shared skills. - [Orca](https://www.onorca.dev/) ([GitHub](https://github.com/stablyai/orca)) - Desktop environment for running multiple coding agents safely in parallel across worktrees. - [Superset](https://superset.sh/) ([GitHub](https://github.com/superset-sh/superset)) - Local code editor and control plane for parallel CLI coding agents across isolated git worktrees. - [Sandcastle](https://github.com/mattpocock/sandcastle) ([npm](https://www.npmjs.com/package/@ai-hero/sandcastle)) - MIT-licensed TypeScript library and CLI for orchestrating AI coding agents in isolated sandboxes with branch strategies, hooks, logs, templates, and merge-back workflows. - [oh-my-codex](https://github.com/Yeachan-Heo/oh-my-codex) ([Website](https://yeachan-heo.github.io/oh-my-codex-website/), [npm](https://www.npmjs.com/package/oh-my-codex)) - Workflow layer for OpenAI Codex CLI with reusable skills, native hooks, HUD/status surfaces, project guidance, and `$team`/`$ralph` execution commands. - [Vibe Kanban](https://vibekanban.com/) ([GitHub](https://github.com/BloopAI/vibe-kanban)) - Kanban workspace for planning issues, running coding agents in branches with terminals and dev servers, reviewing diffs, previewing apps, opening pull requests, and merging finished work. - [the-perfect-orchestrator](https://github.com/daman8271/the-perfect-orchestrator) ([Website](https://the-perfect-orchestrator.vercel.app/)) - MIT-licensed bash and tmux harness where one lead Claude Code session spawns, briefs, monitors, and adversarially verifies multiple autonomous worker sessions through plain-file coordination, with no daemons. ## Multi-Agent Platforms And Builders Frameworks and product surfaces for creating agents, teams, workflows, chatflows, agent apps, or production agent runtimes. - [Agon](https://github.com/AutoResearch-Factory/Agon) ([Paper](https://arxiv.org/abs/2606.24177)) - Autonomous research system that coordinates scientist, coder, and auditor loops from topic to idea, proposal, experiment, and paper. - [Agno](https://agno.com/) ([GitHub](https://github.com/agno-agi/agno)) - Production runtime for agentic software with agents, teams, workflows, and AgentOS services. - [Agent Office Suite](https://www.agentofficesuite.com/) ([GitHub](https://github.com/manpoai/AgentOfficeSuite), [Manpo X](https://x.com/manpoai)) - Self-hosted office suite where agents collaborate with humans on docs, databases, slides, and flowcharts through MCP, contextual comments, version history, and traceable edits. - [Agent Swarm](https://agent-swarm.dev) ([GitHub](https://github.com/desplega-ai/agent-swarm), [Docs](https://docs.agent-swarm.dev)) - MIT-licensed lead/worker orchestration framework where a lead agent receives tasks from Slack, GitHub, GitLab, Linear, Jira, email, WhatsApp, or the API and delegates to worker agents running in isolated Docker environments with persistent vector-searchable memory, DAG workflows with HITL gates, scheduled tasks, MCP servers, and harness-agnostic execution across Claude Code, Codex, pi-mono, Devin, Claude Managed Agents, and opencode. - [Cabinet](https://runcabinet.com/) ([GitHub](https://github.com/hilash/cabinet)) - AI-first knowledge base where files live on disk and agents help with execution. - [Crewplane](https://github.com/crewplaneai/crewplane) ([GitHub](https://github.com/crewplaneai/crewplane), [Docs](https://github.com/crewplaneai/crewplane/tree/master/docs)) - Apache-2.0 orchestrator that turns Claude Code, Codex, Gemini CLI, Copilot CLI, and other command-line agents into structured, repeatable Markdown workflows with resumable execution and inspectable local run records. - [Dify](https://dify.ai/) ([GitHub](https://github.com/langgenius/dify)) - Agentic workflow builder that combines workflows, chatflows, apps, and knowledge systems. - [Flowise](https://flowiseai.com/) ([GitHub](https://github.com/FlowiseAI/Flowise)) - Visual builder for AI agents and orchestration flows. - [Hermes Agent](https://hermes-agent.nousresearch.com/) ([GitHub](https://github.com/NousResearch/hermes-agent)) - MIT-licensed autonomous agent from Nous Research with persistent memory, self-created skills, scheduled automations, subagents, sandboxed execution, and messaging gateways. - [Mastra](https://mastra.ai/) ([GitHub](https://github.com/mastra-ai/mastra)) - TypeScript framework for agents, graph-based workflows, MCP servers, evals, observability, and production AI applications. - [OpenClaw](https://openclaw.ai/) ([GitHub](https://github.com/openclaw/openclaw)) - Open-source personal AI assistant software built around chat, persistent context, skills, and execution. - [NanoClaw](https://nanoclaw.dev/) ([GitHub](https://github.com/qwibitai/nanoclaw), [Docs](https://docs.nanoclaw.dev/)) - MIT-licensed personal AI assistant that runs Claude agents in isolated containers, connects to chat channels, keeps memory, schedules work, and uses skills as git branches. - [SIDJUA](https://www.sidjua.com/) ([GitHub](https://github.com/GoetzKohlberg/sidjua)) - Governance-first AI agent orchestration platform where policy, approval, budget, classification, and audit checks run before agent actions execute. - [Sim](https://www.sim.ai/) ([GitHub](https://github.com/simstudioai/sim)) - Open-source AI agent platform for building agents with integrations, workflows, knowledge bases, and docs. - [SwarmClaw](https://www.swarmclaw.ai/) ([GitHub](https://github.com/swarmclawai/swarmclaw)) - Self-hosted AI agent runtime for autonomous agents, delegated work, schedules, provider management, and chat-platform connectors. - [NarraNexus](https://github.com/NetMindAI-Open/NarraNexus) - Open-source AI agent team workspace by NetMind.AI whose agents remember, collaborate, and use tools from day one. ## Coordination And Team Systems Systems where the central object is the team, company, room, protocol, role, goal, job, or handoff layer between agents. - [CrewAI](https://www.crewai.com/) ([GitHub](https://github.com/crewAIInc/crewAI)) - Multi-agent system organized around specialized crews, roles, and delegation. - [Squad](https://bradygaster.github.io/squad/) ([GitHub](https://github.com/bradygaster/squad)) - Alpha GitHub Copilot-based system where specialist agents live in the repo, keep memory, share decisions, route work through a coordinator, and run in parallel. - [Culture](https://culture.dev/) ([GitHub](https://github.com/agentculture/culture)) - Coordination-oriented system with rooms, protocol docs, agent lifecycle patterns, and multiple clients. - [Paperclip](https://paperclip.ing/) ([GitHub](https://github.com/paperclipai/paperclip)) - Open-source orchestration for zero-human companies, centered on AI employees, goals, and jobs. - [Bunkhouse](https://github.com/braedonsaunders/bunkhouse) - AGPL-3.0 AI employees for main-street business with a company inbox, org chart, and governed procedures. - [Wave](https://wave.davidsling.in) ([GitHub](https://github.com/david-sling/wave)) - MIT-licensed zero-install channel where coding agents owned by different people exchange messages over HTTP long-poll while their humans watch and steer the shared transcript from a browser; the join prompt is the only setup. - [The Rusty Claw](https://therustyclaw.com) ([GitHub](https://github.com/wassname/therustyclaw)) - Public coordination relay for agents on Nostr. Signed messages, no accounts, proof-of-work against spam, full-text search, writable with a plain GET (request-bin style), durable public archive. Made by wassname (AI alignment researcher). - [Okto Nexus](https://oktolabs.ai/platform/nexus/) ([GitHub](https://github.com/OktoLabsAI/okto-nexus)) - Elastic-2.0 local-first MCP coordination hub where agents get durable identities, messaging, single-winner handoff claims, and human-in-the-loop approval on risky actions. ## Not Open But Important Closed products that are not part of the open directory, but matter to the community because they influence how builders think about multi-agent orchestration. - [AgentGrid](https://agentgrid.sh/) ([Orchestration docs](https://agentgrid.sh/docs/guides/orchestrating-agents)) - Commercial desktop workspace for visible master/worker delegation across Claude Code, Codex, and other coding harnesses, with persistent sessions, terminals, browsers, and notes. - [Crewlet](https://www.crewlet.io/) ([X](https://x.com/crewlet_)) - Not open-source; included because it frames a self-improving multi-agent company OS for growth, engineering, support, and data operations across existing tools. - [Augment Code Intent](https://www.augmentcode.com/product/intent) - Not open-source; included because Intent puts coordinated agents, isolated workspaces, and living specs in one developer workspace. ## CLI Agent Session Workspaces Tools that manage parallel CLI-agent sessions, terminals, issue boards, worktrees, diffs, and local review loops. These are useful for agentic coding work, but they are tracked separately from orchestrator/player entries when they do not manage agent teams or runtime behavior directly. - [Lanes](https://lanes.sh/) - macOS workspace where Claude Code, Codex, Gemini CLI, and other agentic CLIs run as parallel real-PTY sessions with boards, auto-created git worktrees, session resume, diffs, and file editing. ## Governance And Enforcement Policy, permission, approval, budget, trust, reputation, settlement, and audit layers that sit between agent intent and execution. These are not orchestrators themselves; they govern actions routed through an orchestrator, framework, coding agent, MCP server, marketplace, exchange, or application runtime. ### Open and open-core governance tools - [Microsoft Agent Governance Toolkit](https://github.com/microsoft/agent-governance-toolkit) - MIT-licensed runtime governance toolkit for AI agents with deterministic policy enforcement, zero-trust identity, execution sandboxing, SRE controls, and compliance checks. - [Code Atelier Governance SDK](https://www.codeatelier.tech/governance) - Python SDK for pre-execution governance gates around AI agents, backed by Postgres. - [Veto](https://veto.so/) ([GitHub](https://github.com/PlawIO/veto)) - Apache-2.0 authorization layer for AI agent tool calls, with TypeScript and Python SDKs, YAML policies, approval routing, and audit logs. Veto Cloud is commercial. - [SettleBridge](https://settlebridge.ai/) ([GitHub org](https://github.com/a2a-settlement)) - Trust and policy gateway for agent-to-agent settlement, including reputation thresholds, spending limits, provenance requirements, escrow, dispute resolution, marketplace bounties, and cryptographic audit trails. The related A2A Settlement repo is MIT-licensed; SettleBridge's public license metadata is not fully consistent yet. - [Okto Pulse](https://oktolabs.ai/platform/pulse/) ([GitHub](https://github.com/OktoLabsAI/okto-pulse)) - Elastic-2.0 local-first SDLC workbench with 17 enforced governance gates for AI coding agents, including independent validation, blocking evidence requirements, and spec-coverage checks before work reaches done. ### Commercial and platform governance layers - [Databricks Unity AI Gateway](https://www.databricks.com/blog/ai-gateway-governance-layer-agentic-ai) - Commercial Databricks platform layer for governing LLM access, MCP servers, APIs, observability, costs, guardrails, fallbacks, and rate limits in agentic AI workflows. ## Agent-Friendly Tooling Tools that are not orchestrators themselves, but make multi-agent systems easier to operate, measure, observe, or reuse. - [Agent Analytics](https://agentanalytics.sh/) - Web analytics for builders that Claude Code, Codex, Cursor, OpenClaw, Paperclip, and similar AI agents can use. - [ClawTrace](https://www.clawtrace.ai/?ref=producthunt) - Observability for OpenClaw agents that shows what failed, where spend leaked, and how to improve runs. - [agenttrace](https://github.com/luoyuctl/agenttrace) - Local TUI observability for AI coding-agent sessions, tokens, cost, tool failures, latency, anomalies, diffs, and CI evidence. - [Companies.sh](https://companies.sh/) - Reusable companies for AI agents: pre-built organizations that can be installed with a single command. - [Orchestrator](https://zachealy1.github.io/orchestrator/) ([GitHub](https://github.com/zachealy1/orchestrator)) - MIT-licensed macOS workspace connecting Codex execution with Kanban tasks, subagent inspection, repository browsing, and local code review; public beta for macOS 15+ using the user's own supported Codex account. ## Implementation Services Services companies and consultants that publish practical material on deploying, hardening, and operating multi-agent systems. These are not orchestrator/player entries. - [Nomad Inno](https://nomadinno.com/) ([X](https://x.com/NomadInnoMT)) - Malta-based AI innovation group helping organizations understand, implement, and scale AI through consulting, custom development, workflow automation, and AI products. - [Agentix Labs](https://www.agentixlabs.com/) - Implementation services and practical writing for teams moving AI agents from pilots into production operations. Public contact details list United States and Canadian offices in New York and Montreal; no explicit worldwide coverage claim is made. ## Contributing Pull requests are welcome if the project clearly fits the directory scope. - Add or update entries in [`src/data/orchestrators.ts`](./src/data/orchestrators.ts). - Prefer official website, docs, and GitHub links. - Keep summaries factual, concise, and based on public sources. - For governance and enforcement entries, state whether the source is open source, open-core, commercial, or a platform feature. - If you add a project, include the source you used to verify it. See [`CONTRIBUTING.md`](./CONTRIBUTING.md) for the full review criteria. ## Local Development This repo contains the Awesome Multi-Agent Orchestrators list and a small Astro site for [`openorchestrators.org`](https://openorchestrators.org/). ```bash cd open-orchestrators.org npm install npm run dev ``` Most editorial updates should happen in [`src/data/orchestrators.ts`](./src/data/orchestrators.ts), which is the source of truth for directory entries, rank order, notes, tags, and links. News updates should happen in [`src/content/news`](./src/content/news). Directory entries and news posts are intentionally separate: directory metadata describes the player; news Markdown describes a dated update about that player.