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
Integrate Perplexity API for web-grounded AI responses and search. Covers Sonar models, Search API, SDK usage (Python/TypeScript), streaming, structured outputs, filters, media attachments, Pro Search, and prompting. Keywords: Perplexity, Sonar, sonar-pro, sonar-reasoning-pro, sonar-deep-research, web search API, grounded LLM, chat completions, perplexityai...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you retrieve real-time, web-grounded answers with citations using perplexity, enabling multi-source research and accurate summaries.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps optimize Perplexity API performance by applying caching, batching, and connection pooling to reduce latency and boost throughput.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides production-ready Perplexity SDK patterns for TypeScript and Python to standardize usage, error handling, and retries.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you secure Perplexity API keys and enforce least-privilege access with rotation, auditing, and environment-specific controls.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you instrument, trace, evaluate, and monitor LLM applications with Phoenix for debugging, testing, and real-time observability.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill automates mobile UI tasks by driving Android devices via AutoGLM Phone Agent, enabling tapping, typing, swiping, and screenshots.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you integrate PICA MCP with the Claude Agents SDK to connect tools, stream results, and manage tool calls efficiently.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides integrating PICA MCP with the OpenAI Agents SDK to enable seamless tool discovery and execution.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you integrate PICA MCP with Vercel AI SDK to manage external tools and enable AI agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you create, configure, and debug blueking pipeline plugins across languages with task.json, inputs, outputs, and release steps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you create investor-ready pitch decks with slide-by-slide visuals and design guidelines to impress stakeholders.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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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.