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Overview

Fetch.ai’s Python framework for scheduled, event-driven agents that communicate through defined protocols.

uAgents helps developers write programs that run on intervals, respond to messages and communicate with other agents. Define message models and handlers, assign an identity and connect the agent to the Fetch.ai ecosystem. Agentverse adds hosted deployment and visibility options.

An LLM is optional: the framework does not invent a plan or business workflow merely because an agent is registered. Developers implement the actions, protect keys and wallets, choose connected services and decide which requests require approval. The documentation also provides REST endpoint and framework-adapter patterns.

Product overview

Capabilities, pricing and fit

Fetch.ai’s Python framework for scheduled, event-driven agents that communicate through defined protocols.

Information as of October 14, 2026

What it can do

  • Events and schedules

    Run Python handlers in response to intervals or messages.[1], [2], [3]

  • Agent identity

    Use addresses, signed messages and ecosystem discovery.[1], [2], [3]

  • Connections

    Expose REST handlers or use documented framework adapters.[1], [2], [3]

Where it fits best

  • Building communicating software agents[1], [2], [3]
  • Running scheduled or message-triggered workflows[1], [2], [3]

Pricing and availability

Apache-2.0 Python source is available. Account for the selected hosting, LLM services and any network or transaction charges used by your application; these are separate from the library.[1], [2], [3]

Access: Developer-managed application or research environment.[1], [2], [3]

Sources (3)
  1. github.com — Product and availabilityOfficial site · checked 2026-10-14
  2. uagents.fetch.ai — Documentation and product detailsOfficial site · checked 2026-10-14
  3. github.com — Documentation and product detailsOfficial site · checked 2026-10-14

Autonomy level

74/100

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.

Reasoning: uAgents executes programmed schedules, message handlers and agent-to-agent protocols, and can wrap an LLM or another framework. Developers supply the decision logic, tools, permissions and transaction rules. Registration, signed messages and event-driven execution do not themselves create autonomous planning; people remain responsible for setup and...

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Some of the use cases of uAgent:

  • Building communicating software agents
  • Running scheduled or message-triggered workflows

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Popularity level: 65%

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