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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
32page
413pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
playbooks / skill
8004-skill skill by openclaw/skills
This skill helps you register and manage trustless AI agents on TRON and BSC, track on-chain reputation, and verify identities.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
8004-skill-monad skill by openclaw/skills
This skill registers and manages ERC-8004 on-chain identities on Monad, enabling agent onboarding for CEO Protocol and other ERC-8004 integrations.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a0x-agents skill by openclaw/skills
This skill helps you leverage a collective brain to recall prior fixes before solving, and consult a mentor for Base/web3 architecture guidance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
A2A Client MCP Server - tesla0225/mcp-a2a
Provides MCP-based access to A2A agents, enabling task submission, status tracking, streaming updates, and agent information queries.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
A2A MCP Client Server - mcp-mirror/tesla0225_mcp-a2a
Connects to A2A agents, enabling messaging, task tracking, and streaming responses via MCP.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
A2A MCP Server - a2anet/a2a-mcp
Provides an MCP server that enables connecting to A2A Agents, managing conversations, and viewing agent cards and artifacts.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
A2A MCP Server - gongrzhe/a2a-mcp-server
A mcp server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
A2A Registry MCP Server - ericabouaf/a2a-registry
MCP server providing A2A agent registry with REST API and MCP tools
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a skill by openclaw/skills
This skill enables your agent to engage with the GSTD A2A network for autonomous payments, task outsourcing, and knowledge sharing across the grid.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-agent-lookup skill by openclaw/skills
This skill lets you verify AI agents and retrieve live A2A cards by ID, enabling trusted interactions and informed hiring decisions.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-bridge skill by openclaw/skills
This skill bridges Google A2A and OADP to make A2A agents discoverable and interoperable across open hubs.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2a-delegation-setup skill by openclaw/skills
This skill guides installation, configuration, verification, and troubleshooting of the OpenClaw a2a outbound plugin on the gateway for reliable delegation
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.