Find, trial, compare, and govern AI agents before hiring
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 authenticates OpenClaw agents with First-Principle using DID-based identities, persists credentials, and executes social actions via agent JWT.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides systematic bug investigation, regression testing, and documentation, generating a formal bugfix report and coordinating branch work.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you to identify, analyze, and fix security vulnerabilities in code by tracing paths and verifying fixes against tests.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
AI Agent Mission Control — 200+ MCP tools for managing agents, experiments, workflows, crews, skills, approvals, budgets, and more.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Flo is a composable framework that simplifies the creation of AI agent architectures.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Programmatic Power Automate flow management via FlowStudio MCP server. List, read, and monitor cloud flows directly from the Power Automate API without UI or manual steps Inspect run history, per-action error details, and trigger outputs; resubmit failed runs or cancel active executions Update flow definitions, manage connections, and retrieve HTTP-triggere...
- Fit
- 61 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
This skill defines structural schemas and data ontologies to enable interoperable autonomous agents and robust synthetic data architectures.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
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.