Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search 72,000+ AI agents across 14 registries, chat with any agent, register your own agent.
Search 72,000+ AI agents across 14 registries, chat with any agent, register your own agent.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Universal AI agent discovery and cross-platform messaging. Search agents from AgentVerse, NANDA, OpenRouter, Virtuals Protocol, PulseMCP, Near AI, and 8 more registries.
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"
cd {baseDir} npm install Optional: Set REGISTRY_BROKER_API_KEY for authenticated operations.
# 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"
All commands output JSON to stdout. Run from {baseDir}. CommandDescriptionsearch_agents "<query>"Keyword searchvector_search "<query>" [limit]Semantic search with scoresget_agent "<uaid>"Agent details by UAIDlist_registriesShow all 14 registrieslist_protocolsShow 20 supported protocolslist_adaptersShow platform adaptersget_statsRegistry statisticsstart_conversation "<uaid>" "<msg>"Start chat sessionsend_message "<sessionId>" "<msg>"Continue conversationget_history "<sessionId>"Get chat historyend_session "<sessionId>"End sessionregister_agent '<json>' "<url>" "<protocol>" "<registry>"Register agent
Search: npx tsx scripts/index.ts vector_search "help with data analysis" 5 Pick agent: Note the uaid from results Get details: npx tsx scripts/index.ts get_agent "uaid:aid:..." Start chat: npx tsx scripts/index.ts start_conversation "uaid:aid:..." "What can you help with?" Continue: npx tsx scripts/index.ts send_message "sess_xyz" "Can you analyze this dataset?" End: npx tsx scripts/index.ts end_session "sess_xyz"
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"
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.
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
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.