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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
Vercel and Next.js deployment best practices including server components, edge functions, AI SDK integration, and performance optimization.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
INVOKE THIS SKILL when creating evaluation datasets from trace OR uploading datasets to LangSmith OR querying datasets. Covers dataset types (final_response,…
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Chat with any other OpenAI SDK Compatible Chat Completions API, like Perplexity, Groq, xAI and more Browse any-chat-completions-mcp Server for Claude,...
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
A server providing Playwright tools for browser automation and web scraping. Browse Playwright Server MCP Server for Claude, Cursor, VS Code, and other AI...
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Discover and deeply research companies to sell to. Uses Browserbase Search API for discovery and a Plan→Research→Synthesize pattern for deep enrichment — outputting a scored research report and CSV.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Self-improving browser automation via the auto-research loop. Iteratively runs a browsing task, reads the trace, and improves the navigation skill…
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
AI-powered adversarial UI testing via the browse CLI. Analyzes git diffs to test only what changed, or explores the full app to find bugs. Tests functional…
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Hosted MCP server for X (Twitter) data workflows: tweet search, user lookup, follower exports, media actions, monitors, and webhooks.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you integrate Duit into Flutter apps by wiring drivers, transports, and backend-driven UI with reusable components.
- Fit
- 72 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through implementing Vercel AI SDK v5 patterns for chat, streaming, tool calling, and embeddings to accelerate AI interfaces.
- Fit
- 72 / 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.