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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
Use when the user wants to use the UCP CLI to find, compare, buy, or track products from online merchants, or to set up and troubleshoot the local UCP profile required for merchant-scoped operations. Covers global catalog search (\"find me X under $Y\"), named-merchant transactions (\"buy this from Z.com\"), order tracking, `ucp profile init`, `ucp doctor`,...
- Fit
- 63 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This is your go-to when you're deploying AI agents on AWS Bedrock AgentCore and need to navigate its nine services without constantly context-switching between docs. It covers the full stack: Gateway for wrapping REST APIs as MCP tools, Runtime for agent deployment, Identity for credential management, and newer additions like Agent Registry for cataloging r...
- Fit
- 63 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This is for when you need multiple Claude instances working together on something complex. You get four swarm topologies (mesh for research, hierarchical for dev workflows, star for testing, ring for pipelines) and can spawn specialized agents like researchers, coders, and QA engineers. The documentation walks through three real patterns: a research swarm t...
- Fit
- 63 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: indirect prompt injection defenses, emerging agent runtimes, and production AI workflow patterns.
- Fit
- 63 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Build AI agents with structured access to Sanity content via Agent Context. Use when setting up a Sanity-powered chatbot, connecting an AI assistant to Sanity…
- Fit
- 63 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps sales teams prepare for calls with tailored company intel, stakeholder background, and discovery questions to accelerate wins.
- Fit
- 62 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.
- Fit
- 62 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.
- Fit
- 62 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This is SendAI's open-source toolkit for building AI agents that can autonomously execute Solana blockchain operations. It wraps 60+ actions across tokens, NFTs, DeFi protocols like Jupiter and Raydium, staking, and bridging into a plugin architecture that works with LangChain, Vercel AI SDK, or Claude via MCP. You'd reach for this when you want an AI agent...
- Fit
- 62 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides Dart Drift usage for local SQLite and PostgreSQL with type-safe queries, migrations, and reactive streams.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement Flutter animations effectively by choosing implicit, explicit, hero, staggered, and physics-based approaches for smooth UX.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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