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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
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
This skill helps you integrate OpenAI's stateless APIs for chat, embeddings, images, audio, and moderation with streaming and tool calling.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build stateful chats with OpenAI Assistants API v2, enabling RAG, code execution, file search, streaming, and thread management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage stateful OpenAI Assistants workflows, enabling thread and run orchestration, polling, and debugging across tools.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you to design and run a custom Python ChatKit backend using the OpenAI Agents SDK behind a secure API.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Provide authoritative, current guidance from OpenAI developer docs using the developers.openai.com MCP server. Always prioritize the developer docs MCP tools…
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Query OpenAI's official developer documentation via MCP server for API, SDK, and platform guidance. \n \n Search and fetch docs on OpenAI APIs (Chat Completi…
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you access authoritative OpenAI API documentation via the MCP server, ensuring accurate guidance from the latest developer docs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build and manage stateful agentic applications with OpenAI's Responses API, preserving reasoning across turns and enabling server-side
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design agentic AI workflows using the OpenAI Responses API to maintain persistent reasoning across turns and leverage server-side tools.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables agentic AI applications using the OpenAI Responses API, preserving reasoning across turns and enabling server-side tools.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you generate and validate OpenAPI 3.x specifications, infer schemas, mock servers, and generate client and server code.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates a complete OpenAPI 3.x specification in YAML or JSON, inferring schemas, responses, and security from API descriptions.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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Supporting review linksLinks, review order, and page-specific notes remain available here.
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.