Xpersona

Crawler Summary

awesome-agent-orchestration answer-first brief

⭐ Curated list of AI Agent frameworks: AutoGen, CrewAI, MetaGPT, LangGraph, Swarms. Multi-Agent Systems, Swarm Intelligence, A2A Protocol, MCP Protocol. LLM Agents, Agentic AI, Agent Workflows. Awesome Agent Orchestration <!-- 🎯 Search Keywords: ai agent, multi-agent, agent orchestration, swarm intelligence, llm agent, autonomous agent, agent framework, agentic ai, crewai, autogen, metagpt, langgraph, swarms, a2a protocol, mcp protocol, agent workflow, ai automation, multi-agent system, agent communication, ai agents 🔥 GitHub Topics: ai-agent, multi-agent, agent-orchestration, swarm-intelligence, llm-agen Capability contract not published. No trust telemetry is available yet. 10 GitHub stars reported by the source. Last updated 6/1/2026.

Freshness

Last checked 6/1/2026

Best For

awesome-agent-orchestration is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 66/100

awesome-agent-orchestration

⭐ Curated list of AI Agent frameworks: AutoGen, CrewAI, MetaGPT, LangGraph, Swarms. Multi-Agent Systems, Swarm Intelligence, A2A Protocol, MCP Protocol. LLM Agents, Agentic AI, Agent Workflows. Awesome Agent Orchestration <!-- 🎯 Search Keywords: ai agent, multi-agent, agent orchestration, swarm intelligence, llm agent, autonomous agent, agent framework, agentic ai, crewai, autogen, metagpt, langgraph, swarms, a2a protocol, mcp protocol, agent workflow, ai automation, multi-agent system, agent communication, ai agents 🔥 GitHub Topics: ai-agent, multi-agent, agent-orchestration, swarm-intelligence, llm-agen

OpenClawself-declared

Public facts

4

Change events

0

Artifacts

0

Freshness

Jun 1, 2026

Verifiededitorial-contentNo verified compatibility signals10 GitHub stars

Capability contract not published. No trust telemetry is available yet. 10 GitHub stars reported by the source. Last updated 6/1/2026.

10 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Jun 1, 2026

Vendor

Vivy Yi

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 10 GitHub stars reported by the source. Last updated 6/1/2026.

View Source

Setup snapshot

git clone https://github.com/vivy-yi/awesome-agent-orchestration.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Vivy Yi

profilemedium
Observed May 24, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

10 GitHub stars

profilemedium
Observed May 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

python

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

⭐ Curated list of AI Agent frameworks: AutoGen, CrewAI, MetaGPT, LangGraph, Swarms. Multi-Agent Systems, Swarm Intelligence, A2A Protocol, MCP Protocol. LLM Agents, Agentic AI, Agent Workflows. Awesome Agent Orchestration <!-- 🎯 Search Keywords: ai agent, multi-agent, agent orchestration, swarm intelligence, llm agent, autonomous agent, agent framework, agentic ai, crewai, autogen, metagpt, langgraph, swarms, a2a protocol, mcp protocol, agent workflow, ai automation, multi-agent system, agent communication, ai agents 🔥 GitHub Topics: ai-agent, multi-agent, agent-orchestration, swarm-intelligence, llm-agen

Full README

Awesome Agent Orchestration

<!-- 🎯 Search Keywords: ai agent, multi-agent, agent orchestration, swarm intelligence, llm agent, autonomous agent, agent framework, agentic ai, crewai, autogen, metagpt, langgraph, swarms, a2a protocol, mcp protocol, agent workflow, ai automation, multi-agent system, agent communication, ai agents 🔥 GitHub Topics: ai-agent, multi-agent, agent-orchestration, swarm-intelligence, llm-agents, autogen, crewai, metagpt, langgraph, swarms, a2a-protocol, mcp -->

English | 中文

Awesome License: CC0 GitHub Stars Contributions Welcome

The most comprehensive curated list of Agent Orchestration, Multi-Agent Systems, Swarm Intelligence, and LLM Agent frameworks. Includes AutoGen, CrewAI, MetaGPT, LangGraph, Swarms, A2A Protocol, MCP Protocol and more.

⭐ Star this repo if it helps you find AI Agent frameworks!

Table of Contents

What is Agent Orchestration?

Agent Orchestration is the practice of coordinating multiple AI agents (LLM agents, autonomous agents) to work together on complex tasks. It enables:

  • Scalability: Handle complex workflows by distributing tasks across specialized agents
  • Specialization: Each agent can focus on a specific domain or task
  • Robustness: Fault tolerance through agent redundancy and recovery
  • Emergent Capabilities: Complex behaviors arising from simple agent interactions
  • Real-World Applications: From software development to research automation

Related Concepts

  • Multi-Agent System (MAS): A system composed of multiple interacting intelligent agents
  • Swarm Intelligence: Collective behavior emerging from simple agent interactions
  • Agentic AI: AI systems that can autonomously plan and execute complex tasks
  • Agent Communication Protocol: Standards like A2A (Agent-to-Agent) and MCP (Model Context Protocol) for agent interoperability

Core Frameworks

Multi-Agent Orchestration Frameworks

| Project | Description | Stars | |---------|-------------|-------| | AutoGen | Microsoft's framework for building multi-agent conversational systems | Stars | | CrewAI | Role-based multi-agent framework for building AI teams | Stars | | MetaGPT | Multi-agent framework for software development with role assignment | Stars | | agentUniverse | Enterprise-level multi-agent framework | Stars | | Langroid | Multi-agent programming framework with message-passing | Stars | | Phidata | Multi-modal agent framework with built-in tools and UI | Stars | | OpenAgents | Open platform for deploying language agents | Stars | | AgentVerse | Platform for running multiple LLM agents in simulated environments | Stars | | agency-swarm | Reliable multi-agent orchestration framework | Stars | | OpenAI Swarm | Educational lightweight multi-agent orchestration framework | Stars | | Microsoft Agent Framework | Framework for building, orchestrating and deploying AI agents | Stars | | OpenAI Agents Python | Lightweight powerful framework for multi-agent workflows | Stars | | Haystack | Open-source AI orchestration for context-engineered LLM applications | Stars | | LLMStack | No-code multi-agent framework for LLM agents and workflows | Stars | | LazyLLM | Easiest way for building multi-agent LLM applications | Stars | | MindSearch | LLM-based multi-agent framework for web search engine | Stars | | TradingAgents | Multi-agent LLM financial trading framework | Stars | | Shannon | Production-oriented multi-agent orchestration framework | Stars | | Solace Agent Mesh | Event-driven framework for multi-agent AI systems | Stars | | Pipelex | Declarative language for composable AI workflows | Stars | | CodeFuse-muAgent | Innovative agent framework driven by KG Engine | Stars | | L2MAC | LLM Automatic Computer Framework | Stars | | Patchwork | Agentic AI framework for enterprise workflow automation | Stars |

Swarm Intelligence Frameworks

| Project | Description | Stars | |---------|-------------|-------| | Swarms | Production-grade multi-agent infrastructure platform | Stars | | Swarm | Lightweight multi-agent orchestration framework | Stars | | Swarm-Tools | Tool for coordinating AI agents with learning capabilities | Stars | | Ruflo | Leading agent orchestration platform for Claude | Stars | | swarms-rs | Enterprise-grade multi-agent orchestration in Rust | Stars | | Lux | Open-source framework for multi-agent swarmed intelligence | Stars | | AutoRT | Embodied foundation models for robotic agents | Stars |

Graph-Based Workflow Frameworks

| Project | Description | Stars | |---------|-------------|-------| | LangGraph | Build stateful multi-agent applications with LangChain | Stars | | LangChain | Modular framework for LLM application chaining | Stars | | LlamaIndex | Data-centric agent framework for RAG | Stars | | Semantic Kernel | Microsoft orchestration SDK for .NET/Python | Stars |

Lightweight & Specialized Agents

| Project | Description | Stars | |---------|-------------|-------| | SmolAgents | Minimalist library for code-writing agents | Stars | | Auto-GPT | Pioneering autonomous agent with self-prompting | Stars | | BabyAGI | Simple autonomous task management | Stars | | GPT-Engineer | Agent for generating full projects from specs | Stars | | BMTools | Tool/API registry for agents | Stars |

Type-Safe & Modern Frameworks

| Project | Description | Stars | |---------|-------------|-------| | PydanticAI | Type-safe agent framework using Pydantic models | Stars | | DeepAgents | Production-grade autonomous agents on PydanticAI | Stars | | Subagents | Subagent delegation framework for PydanticAI | Stars | | Flux0 | Multi-agent deployment framework with session management | Stars | | Mamba Agents | Simple extensible AI Agent framework | Stars |

TypeScript & Node.js Frameworks

| Project | Description | Stars | |---------|-------------|-------| | openai-swarm-node | Node.js implementation of OpenAI's Swarm framework | Stars | | Network-AI | TypeScript/Node multi-agent orchestrator with shared state | Stars | | megazord | Claude Code framework for multi-agent coordination | Stars | | Voltmachines | Multi-agent framework built on VoltAgent | Stars | | agent-swarm-kit | TypeScript library for framework-agnostic multi-agent systems | Stars | | ai-orchestra | Lightweight orchestration for AI Agents around Vercel's streamText | Stars |

Go Frameworks

| Project | Description | Stars | |---------|-------------|-------| | openai-agents-go | Lightweight powerful framework for multi-agent workflows in Go | Stars | | swarm-go | Ergonomic lightweight multi-agent orchestration in Go | Stars | | rs-graph-llm | High-performance framework for interactive multi-agent workflows in Rust | Stars |

Swift, Ruby & Elixir Frameworks

| Project | Description | Stars | |---------|-------------|-------| | SwiftSwarm | Swift framework for lightweight multi-agent orchestration | Stars | | Swarm | Lightweight agent orchestration framework in Swift | Stars | | ruby-openai-swarm | Ruby-based framework for multi-agent orchestration | Stars | | swarm_ex | Elixir library for lightweight AI agent orchestration | Stars | | shifts | Elixir framework for composing autonomous AI agent workflows | Stars |

PHP & Java Frameworks

| Project | Description | Stars | |---------|-------------|-------| | neuron-ai | PHP agentic framework for production-ready AI applications | Stars | | swarm-ai | Java multi-agent orchestration with Spring AI | Stars |

Workflow & Pipeline Frameworks

| Project | Description | Stars | |---------|-------------|-------| | circuit | Drag-and-drop agent workflow builder | Stars | | routilux | Event-driven workflow orchestration for Python | Stars | | CraftFlow | Workflow orchestration for RAG and multi-agent collaborations | Stars | | sentinels | Laravel package for agent-based task orchestration | Stars | | titan-orchestrator | Distributed orchestrator bridging DevOps and Agentic AI | Stars |

Agent Communication Protocols

Agent-to-Agent (A2A)

Google's A2A protocol enables secure, interoperable communication between autonomous agents across frameworks and vendors.

| Project | Description | Stars | |---------|-------------|-------| | awesome-a2a-agents | Curated list of A2A tools and frameworks | Stars | | python-a2a | Python implementation of A2A protocol | Stars | | a2a-net | .NET implementation of A2A protocol | Stars | | a2a-langgraph | A2A protocol built on LangGraph | Stars | | nestjs-a2a | NestJS library for A2A protocol | Stars | | a2a4j | Java implementation of A2A protocol | Stars | | A2A-MCP-Server | Bridge between MCP and A2A protocols | Stars | | a2a-x402 | A2A protocol with cryptocurrency payments | Stars | | Routa | Multi-agent coordination platform via MCP/A2A | Stars | | mangaba_ai | Minimalist AI agents with A2A and MCP | Stars |

Model Context Protocol (MCP)

An open protocol that enables seamless connection between AI models and external tools/data sources. MCP is becoming the standard for tool-augmented LLM applications.

Official Resources

| Project | Description | Stars | |---------|-------------|-------| | awesome-mcp-servers | Most popular curated list of MCP servers | Stars | | modelcontextprotocol/registry | Community-driven MCP server registry | Stars | | microsoft/mcp | Official Microsoft MCP servers catalog | Stars | | modelcontextprotocol/swift-sdk | Official Swift SDK for MCP | Stars |

Database & Vector Stores

| Project | Description | Stars | |---------|-------------|-------| | mcp-server-qdrant | Official Qdrant vector database server | Stars | | mcp-server-milvus | Milvus vector database server | Stars | | mcp-neo4j | Neo4j graph database server | Stars | | mongodb-mcp-server | MongoDB database server | Stars | | mysql_mcp_server | MySQL database server | Stars | | MariaDB/mcp | MariaDB database server | Stars |

Browser & Automation

| Project | Description | Stars | |---------|-------------|-------| | mcp-playwright | Playwright browser automation | Stars | | mcp-chrome | Chrome extension for browser control | Stars | | mobile-mcp | iOS/Android automation | Stars |

Development & Tools

| Project | Description | Stars | |---------|-------------|-------| | mcp-filesystem-server | Filesystem operations | Stars | | jupyter-mcp-server | Jupyter notebook integration | Stars | | fetch-mcp | HTTP fetching | Stars | | mcp-graphql | GraphQL API integration | Stars | | mcpadapt | Connect 650+ MCP servers to any framework | Stars |

Specialized Servers

| Project | Description | Stars | |---------|-------------|-------| | arxiv-mcp-server | arXiv paper search | Stars | | mcp-youtube | YouTube video analysis | Stars | | excel-mcp-server | Excel file manipulation | Stars | | drawio-mcp-server | Diagram creation | Stars | | freecad-mcp | FreeCAD 3D modeling | Stars | | ida-mcp-server | IDA reverse engineering | Stars | | kubernetes-mcp-server | Kubernetes management | Stars |

Orchestration Patterns

Hierarchical

In hierarchical orchestration, a supervisor agent delegates tasks to specialized sub-agents. This pattern is suitable for complex tasks requiring domain expertise.

  • Use Cases: Software development teams, research automation, enterprise workflows
  • Frameworks: AutoGen, CrewAI, LangGraph

Sequential

Sequential workflows process tasks through a pipeline where each agent completes its step before passing to the next.

  • Use Cases: Document processing, data transformation pipelines
  • Frameworks: LangChain, LangGraph

Parallel/Concurrent

Multiple agents work simultaneously on independent subtasks, with results aggregated afterward.

  • Use Cases: Research gathering, parallel code generation
  • Frameworks: Swarms, AutoGen

Mixture of Agents (MoA)

Multiple expert agents contribute their perspectives, with outputs combined through iterative refinement.

Agent Council

Multiple agents discuss and debate to reach consensus on decisions.

  • Use Cases: Decision making, complex analysis, creative writing
  • Framework: AutoGen GroupChat

Communication & Coordination

Message Passing

  • Langroid: Message-passing based multi-agent framework
  • AutoGen: Conversational message passing

Shared State / BlackBoard Systems

  • Swarm Matcher: Agent matching and selection
  • Message Pool: Shared communication system

Task Distribution

  • Auto Swarm: Self-organizing swarm with automatic task distribution
  • Agent Delegation: Task delegation and management

Research Papers

Multi-Agent Collaboration

| Paper | Description | Year | |-------|-------------|------| | CAMEL: Communicative Agents for "Mind" Exploration | Role-playing agent collaboration through dialogue | 2023 | | MetaGPT: Multi-Agent Collaboration Framework | Software development with agent roles (PM, Engineer, QA) | 2023 | | AgentVerse: Flexible Multi-Agent Platform | Collaborative problem-solving in simulated environments | 2023 | | Generative Agents | Interactive agents with long-term memory in virtual worlds | 2023 | | Mixture of Agents | Parallel processing with iterative refinement | 2024 |

Orchestration & Planning

| Paper | Description | Year | |-------|-------------|------| | MALT: Multi-Agent LLM Orchestration | Structured conversations with Creator-Verifier-Refiner pattern | 2024 | | Agent-as-a-Judge | Agents evaluate other agents | 2024 | | ReAct: Synergizing Reasoning and Acting | Interleaving thoughts and actions | 2022 | | Chain-of-Thought Prompting | Step-by-step reasoning in LLM prompts | 2022 | | Tree-of-Thoughts | Multiple reasoning branches for complex problems | 2023 | | Reflexion | Self-critique loop for long-horizon tasks | 2023 | | HuggingGPT | LLM controller orchestrating expert models | 2023 | | Toolformer | Self-supervised fine-tuning for API calling | 2023 |

Memory & Long-Term Autonomy

| Paper | Description | Year | |-------|-------------|------| | Generative Agents | Interactive agents simulating humans in virtual worlds | 2023 | | Survey on Memory Mechanisms of LLM Agents | Overview of memory architectures and retrieval | 2024 |

Evaluation

| Benchmark | Description | |-----------|-------------| | AgentBench | Evaluates agents across diverse environments | | Multi-Agent Evaluation | Survey of metrics for agent evaluation |

Tools & Infrastructure

Observability & Tracing

| Tool | Description | |------|-------------| | Langfuse | Open-source LLM engineering platform | | Phoenix | Open-source LLM tracing | | Opik | Open-source LLM evaluation | | Agenta | LLMOps platform for prototyping | | Logfire | Pydantic's open-source observability tool | | Langtrace | Open-source observability for AI agents | | Okahu Monocle | Tracing framework by Linux Foundation |

Memory & Knowledge

| Tool | Description | |------|-------------| | Memori | SQL Native Memory Layer for LLMs & Agents | | Letta | Memory layer for AI agents |

Deployment & Infrastructure

| Tool | Description | |------|-------------| | OpenAgents | Platform for deploying language agents | | FastAPI Agents | FastAPI extension for AI agent frameworks | | AgentAPIProduction | Production-ready agent API system | | AgentOS | Operating system for AI agents |

Evaluation & Benchmarking

| Tool | Description | |------|-------------| | AgentBench | Evaluates agents across diverse environments | | swarms-evals | Evaluation framework for swarm systems | | RAGAS | Evaluation framework for RAG systems |

Learning Resources

Tutorials & Guides

Documentation

Related Awesome Lists

Contributing

Contributions are welcome! Please read the contributing guidelines first.

  1. Fork the repository
  2. Add your resource in the appropriate section
  3. Ensure consistent formatting
  4. Submit a pull request

SEO Keywords

Popular search terms: AI Agent Framework, Multi-Agent System, Agent Orchestration, Swarm Intelligence, LLM Agent, Claude AI, OpenAI Agents, CrewAI, AutoGen, MetaGPT, LangGraph, Agent Communication Protocol, A2A Protocol, MCP Protocol, Agentic AI, Autonomous Agents, Agent Workflow, AI Automation

Popular Frameworks

  • AutoGen - Microsoft's multi-agent framework
  • CrewAI - Role-based multi-agent framework
  • MetaGPT - Software development multi-agent framework
  • LangGraph - State-based agent workflow
  • Swarms - Production-grade multi-agent platform

Popular Protocols

License

CC0

To the extent possible under law, Your Name has waived all copyright and related rights to this work.

Star this repository if you find it useful!

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_OPENCLEW@x1pay/langchain

Rank

65

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEW@langchain/langgraph-swarm

Rank

65

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain

Rank

65

LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:21:12.315Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Vivy Yi",
    "category": "vendor",
    "href": "https://github.com/vivy-yi/awesome-agent-orchestration",
    "sourceUrl": "https://github.com/vivy-yi/awesome-agent-orchestration",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:50.764Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:50.764Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "10 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/vivy-yi/awesome-agent-orchestration",
    "sourceUrl": "https://github.com/vivy-yi/awesome-agent-orchestration",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:50.764Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vivy-yi-awesome-agent-orchestration/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

Sponsored

Ads related to awesome-agent-orchestration and adjacent AI workflows.