
Fetch.ai combines personal AI services with developer tools for agents that communicate, discover services and execute configured tasks.
Fetch.ai offers a consumer-facing AI assistant alongside Agentverse and the Python uAgents framework. Developers use uAgents to define message handlers, connect APIs and compose agents that exchange information or perform a specific service. Agentverse provides discovery and hosting tools, while ASI:One connects conversational requests with specialized agents.
For a developer, the practical work is to define the service, configure model and API credentials, handle incoming messages and test the permitted actions. A user requesting a booking or another consequential action still needs to check details and approvals. The 2024 video below shows the earlier Agentverse and DeltaV experience; today’s consumer branding and interface differ.
Product overview
Fetch.ai combines personal AI services with developer tools for agents that communicate, discover services and execute configured tasks.
Information as of October 12, 2026
Budget separately for model APIs, hosting and any paid services used by an agent. Consumer and developer offerings have different terms; consult the selected service before committing spend.[3]
Access: Python framework and Agentverse developer services; consumer access through Fetch.ai and ASI:One.[1]
83/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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For ai agent infrastructure teams
Exploring Fetch.ai? For AI agent infrastructure teams, your own AI agent can investigate execution failures, improve shared agent services, and verify platform releases. Start with a setup tailored to this work.
Tailored starting setup. Chat on our site. See the workflow and monthly plan.