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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
34page
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
explainx / tool
A2AMCP
A2AMCP synchronizes multiple AI agents on shared codebases with Redis-powered messaging, file locking, interface sharing
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
a2hmarket skill by openclaw/skills
This skill enables autonomous AI agents to participate in A2H Market by negotiating, creating orders, and handling payments with human alignment.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aap skill by openclaw/skills
This skill enables AI agents to discover, address, and securely exchange messages using the Agent Address Protocol across providers.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / tool
Aas-ee/open-webSearch
A TypeScript-based MCP server, CLI, and daemon that enables agents to perform multi-engine web searches and content retrieval without requiring API keys. It uses skill-guided workflows to orchestrate searches across multiple engines and parse results locally.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
glama / tool
AC Infinity MCP
ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
activities skill by oimiragieo/agent-studio
This skill helps you enforce Temporal activities best practices in JavaScript by auditing code, suggesting improvements, and guiding refactors.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
add-app-to-server skill by tldraw/tldraw
This skill helps you enrich an MCP server by adding interactive UI to tools using the MCP Apps SDK.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
add-feature skill by 2389-research/claude-plugins
This skill helps you add features to existing Firebase projects using TDD, emulator verification, and secure, test-first workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
add-feishu skill by openclaw/skills
This skill adds Feishu as a long-lived WebSocket channel to NanoClaw, enabling real-time messaging alongside other channels.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
adk-deployment-specialist skill by jeremylongshore/claude-code-plugins-plus-skills
This skill deploys and orchestrates Vertex AI ADK agents via A2A, enabling scalable multi-agent workflows with secure sandboxing and memory management.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
adk-engineer skill by jeremylongshore/claude-code-plugins-plus-skills
This skill designs and implements production-ready ADK agents with structured code, tests, and deployment plans for reliable automation.
MCPHTTPCLISDK
- 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.