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fetchai

@fetchai source repo

10 published skills

  1. Docs · fetchai bundle
    Skills
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  2. Fetch Agents · fetchai bundle
    Call Fetch.ai Agentverse agents by address. Search the Agentverse marketplace, browse a curated catalog of top agents (Tavily Search, ASI1-Mini, DALL-E 3, Technical Analysis, Asset Signal, Translator, Statistics, Github), and send ChatMessages to any agent. Use when working with Fetch.ai, Agentverse, uAgents, decentralized AI agents, or when the user wants to discover or message an agent on the Fetch.ai network.
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  3. Asi1 Chat · fetchai bundle
    Query the ASI:One LLM — the AI model by the ASI Alliance (Fetch.ai + SingularityNET + Ocean Protocol). OpenAI-compatible API. Supports asi1 (default) and asi1-mini models. Requires ASI_ONE_API_KEY env var. Use when asked to "use ASI", "query ASI:One", or "use the Fetch.ai LLM".
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  4. Agentverse Chat · fetchai bundle
    Send messages to any agent on Fetch.ai's Agentverse and receive responses. Handles text, images, and structured data. Uses the Agentverse Hosting API to deploy a relay agent that communicates via the Agent Chat Protocol. Requires AGENTVERSE_API_KEY env var. Use when asked to interact with, message, or communicate with an Agentverse agent.
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  5. Agentverse Deploy · fetchai bundle
    Deploy Python code as a hosted agent on Fetch.ai's Agentverse. Creates a new agent, uploads code, and optionally starts it. Handles the tricky code upload format automatically. Requires AGENTVERSE_API_KEY env var. Use when asked to deploy, host, or publish an agent on Agentverse.
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  6. Agentverse Manage · fetchai bundle
    Manage hosted agents on Fetch.ai's Agentverse: list, start, stop, view logs, and delete agents. Provides operational control over your deployed agents. Requires AGENTVERSE_API_KEY env var. Use when asked to list agents, check agent status, view logs, start/stop agents, or clean up.
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  7. Agentverse Memory · fetchai bundle
    Give any AI agent persistent, graph-native memory via Agentverse Memory — a managed MCP service with 35 JSON-RPC tools covering 4 memory types (episodic, semantic/graph, procedural, working) plus shared multi-agent memory spaces. Zero LLM at write time (<5ms writes, $0 ingest). Graph memory on every tier — including free. Hybrid retrieval (TF-IDF + dense, RRF-fused). Requires AM_API_KEY env var. Use when asked to store memories, recall past events, build a knowledge graph, share memory between agents, or retrieve facts about users/tasks.
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  8. Agentverse Search · fetchai bundle
    Search Fetch.ai's Agentverse for agents by keyword, capability, or protocol. Returns agent names, addresses, descriptions, and supported protocols. Use when asked to find, discover, or list available agents on Agentverse. Requires AGENTVERSE_API_KEY env var.
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  9. Agentverse Inspect · fetchai bundle
    Inspect any agent's capabilities, protocols, endpoints, and status on Fetch.ai's Agentverse Almanac. Use to understand what an agent can do before interacting with it. Requires AGENTVERSE_API_KEY env var. Use when asked to "inspect", "check", or "what can this agent do".
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  10. Agentverse Image Gen · fetchai bundle
    Generate images using AI agents on Fetch.ai's Agentverse. Sends a text prompt to an image generation agent and returns the generated image URL. Handles agent discovery, relay deployment, and response parsing automatically. Requires AGENTVERSE_API_KEY env var. Use when asked to generate, create, or make an image via Agentverse.
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