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 helps manage per-token billing for AI agents using Level5 USDC, providing real-time balance tracking and secure deposits.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
LFM2.5-230M is a fast, lightweight foundation model designed for developers to fine-tune and deploy in various workflows. It excels in tool use and data extr…
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill protects AI agents by detecting prompt injections and malicious patterns across messages, agent cards, and A2A communications.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you trade on Lighter protocol by checking markets, managing orders, and querying balances with secure, zero-fee execution.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill analyzes web pages with Lighthouse to measure Core Web Vitals, accessibility, SEO, and best practices, delivering actionable reports and budgets.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables sending and receiving Bitcoin over the Lightning Network using LNI, supporting multiple backends and secure wallet management.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you configure Lindy AI CI/CD pipelines with GitHub Actions and automated tests, streamlining integration testing and deployment.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you create and configure Lindy AI agents end-to-end, enabling specification, tool integration, testing, and deployment.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you quickly automate tasks and schedule Lindy AI agents with reusable triggers like schedule, webhook, and email.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you reduce Lindy AI costs and optimize usage by analyzing usage, setting budgets, and routing to cheaper agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill configures Lindy AI across development, staging, and production, enabling per-environment secrets, guards, and environment-aware agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement end-to-end Lindy observability by configuring logging, metrics, tracing, and dashboards for reliable operations.
- Fit
- 66 / 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.