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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
29page
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
github / model
the-open-agent/openagent
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
MCPHTTP
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
github / workflow
SolaceLabs/solace-agent-mesh
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
MCPA2A
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
autogen-development skill by mindrally/skills
Expert guidance for Microsoft AutoGen multi-agent framework development including agent creation, conversations, tool integration, and orchestration patterns.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
computer-vision-opencv skill by mindrally/skills
Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
nextjs-react-typescript skill by mindrally/skills
Expert in TypeScript, Node.js, Next.js App Router, React, Shadcn UI, Radix UI and Tailwind
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
openai-api-development skill by mindrally/skills
Expert guidance for OpenAI API development including GPT models, Assistants API, function calling, embeddings, and best practices for production applications.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpso / tool
AWS Model Context Protocol (MCP) Server
A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.
MCPCLISDK
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
monetize-service skill by openclaw/skills
This skill helps you build and monetize a paid API with x402, securing per-request access and earning revenue from other agents.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
pay-for-service skill by openclaw/skills
This skill makes paid API requests via x402 with automatic USDC payment on Base, streamlining paid service calls.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
search-for-service skill by openclaw/skills
This skill helps you find paid APIs on the x402 bazaar by searching and listing resources, with details and pricing insights.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
x402-2 skill by openclaw/skills
This skill helps you discover paid API endpoints and automate x402 payments to access services across the bazaar.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
autofix
Auto-fix CodeRabbit review comments - get CodeRabbit review comments from GitHub and fix them interactively or in batch
MCPHTTPCLI
- Fit
- 67 / 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.