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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
This skill helps you deploy, configure, and manage sandbox-agent sessions and streaming events across cloud sandboxes and local environments.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Setup and configure assistant-ui in a project. Use when installing packages, configuring runtimes, or troubleshooting setup issues.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Guide for assistant-stream package and streaming protocols. Use when implementing streaming backends, custom protocols, or debugging stream issues.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Guide for multi-thread management in assistant-ui. Use when implementing thread lists, switching threads, or managing conversation history.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Guide for tool registration and tool UI in assistant-ui. Use when implementing LLM tools, tool call rendering, or human-in-the-loop patterns.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Update assistant-ui and AI SDK to latest versions. Detects current versions, identifies breaking changes, and executes migrations.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill adds email capabilities to AI agents across popular frameworks, enabling inbox management, sending, receiving, and automation.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Guide for assistant-ui library - AI chat UI components. Use when asking about architecture, debugging, or understanding the codebase.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Guide for assistant-cloud persistence and authorization. Use when setting up thread persistence, file uploads, or authentication.
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Migrate an application with hardcoded LLM prompts to a full LaunchDarkly AI Configs implementation in five stages: audit the code, wrap the call, move theā¦
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 70 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI and 20+ more CLI | Customize your assistants | Star if you like it!
- Fit
- 69 / 100
- Trust
- High traction
- 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.