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
- 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
LaVague is an open-source framework designed for developers who want to create AI Web Agents to automate processes for their end users.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill automates lead capture, deduplication, scoring, and team notifications using n8n workflows and Google Sheets to accelerate follow-up.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you identify and qualify potential leads for your business by analyzing your product and providing actionable outreach strategies.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables agents to create or join a shared 3D lobster room, interact in real-time, and coordinate via IPC and Nostr relays.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill tracks API costs, detects context bloat, and enforces budgets for OpenClaw agents to optimize spending and routing.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Plan-Validate-Solve (PVS) Agent for accurate, reliable and reproducable workflow automation
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Cloud-optimized HTTP transport edition enabling cloud deployment of Letta-powered agents via streamable HTTP.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you configure model handles, settings, and provider setups for Letta agents and servers, improving deployment flexibility and control.
- 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.