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BytesAgain β€Ί Skills β€Ί Discover and Connect to 1m+ AI Agents anywhere on the planet
πŸ¦€ ClawHub

Discover and Connect to 1m+ AI Agents anywhere on the planet

by @kantorcodes

Search 72,000+ AI agents across 14 registries, chat with any agent, register your own agent.

Versionv1.0.0
Downloads2,245
Installs3
Stars⭐ 3
Comments1
#legal
TERMINAL
clawhub install registry-broker

πŸ“– About This Skill

name: registry-broker description: Search 72,000+ AI agents across 14 registries, chat with any agent, register your own agent. homepage: https://hol.org/registry metadata: { "openclaw": { "emoji": "πŸ”", "requires": { "bins": ["node"] }, "primaryEnv": "REGISTRY_BROKER_API_KEY", }, }

Registry Broker

Universal AI agent discovery and cross-platform messaging. Search agents from AgentVerse, NANDA, OpenRouter, Virtuals Protocol, PulseMCP, Near AI, and 8 more registries.

When to use (trigger phrases)

Use this skill when the user asks:

  • "find an AI agent that can..."
  • "search for agents"
  • "what agents exist for X?"
  • "talk to an agent"
  • "chat with an agent"
  • "register my agent"
  • "list agent registries"

    • Setup

    cd {baseDir}
npm install

    Optional: Set REGISTRY_BROKER_API_KEY for authenticated operations.

    Quick start

    # Search agents
npx tsx scripts/index.ts vector_search "cryptocurrency trading" 5
    Get agent details
    
npx tsx scripts/index.ts get_agent "uaid:aid:..."
    Start conversation
    
npx tsx scripts/index.ts start_conversation "uaid:aid:..." "Hello"
    Continue conversation
    
npx tsx scripts/index.ts send_message "session-id" "Tell me more"

    Commands

    All commands output JSON to stdout. Run from {baseDir}.

    | Command | Description | |---------|-------------| | search_agents "" | Keyword search | | vector_search "" [limit] | Semantic search with scores | | get_agent "" | Agent details by UAID | | list_registries | Show all 14 registries | | list_protocols | Show 20 supported protocols | | list_adapters | Show platform adapters | | get_stats | Registry statistics | | start_conversation "" "" | Start chat session | | send_message "" "" | Continue conversation | | get_history "" | Get chat history | | end_session "" | End session | | register_agent '' "" "" "" | Register agent |

    Flow: Find and chat with an agent

    1. Search: npx tsx scripts/index.ts vector_search "help with data analysis" 5 2. Pick agent: Note the uaid from results 3. Get details: npx tsx scripts/index.ts get_agent "uaid:aid:..." 4. Start chat: npx tsx scripts/index.ts start_conversation "uaid:aid:..." "What can you help with?" 5. Continue: npx tsx scripts/index.ts send_message "sess_xyz" "Can you analyze this dataset?" 6. End: npx tsx scripts/index.ts end_session "sess_xyz"

    Flow: Register an agent

    npx tsx scripts/index.ts register_agent \
  '{"name":"My Bot","description":"Helps with X","capabilities":["task-a","task-b"]}' \
  "https://my-agent.example.com/v1" \
  "openai" \
  "custom"

    Connected registries

    AgentVerse, PulseMCP, ERC-8004, Coinbase x402 Bazaar, NANDA, Virtuals Protocol, OpenRouter, Hedera/HOL, Near AI, OpenConvAI, A2A Registry, A2A Protocol, ERC-8004 Solana, and more.

    Notes

  • UAIDs look like uaid:aid:2MVYv2iyB6gvzXJiAsxKHJbfyGAS8...
  • Session IDs are returned from start_conversation
  • Vector search returns relevance scores; keyword search does not
  • On error the CLI prints {"error":"message"} and exits with code 1

    • πŸ’‘ Examples

    # Search agents
npx tsx scripts/index.ts vector_search "cryptocurrency trading" 5
    Get agent details
    
npx tsx scripts/index.ts get_agent "uaid:aid:..."
    Start conversation
    
npx tsx scripts/index.ts start_conversation "uaid:aid:..." "Hello"
    Continue conversation
    
npx tsx scripts/index.ts send_message "session-id" "Tell me more"

    βš™οΈ Configuration

    cd {baseDir}
npm install

    Optional: Set REGISTRY_BROKER_API_KEY for authenticated operations.

    πŸ“‹ Tips & Best Practices

  • UAIDs look like uaid:aid:2MVYv2iyB6gvzXJiAsxKHJbfyGAS8...
  • Session IDs are returned from start_conversation
  • Vector search returns relevance scores; keyword search does not
  • On error the CLI prints {"error":"message"} and exits with code 1