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uAgents

#108 agent frameworkunverified rowcore@0.4.11

Fetch.ai's Python library for autonomous agents that act on intervals and events and register on an on-chain Almanac

Key differences

Fetch.ai's Python library for autonomous agents that act on intervals and events and register on an on-chain Almanac

  • Runs local. Free and open source under Apache-2.0 on PyPI; model and network costs depend on what you wire the agent into
  • Runs multiple agents. Listed for 97 of 118 tools in this category.
  • Keep in mind: Agents communicate directly and broadcast to the network; discovery goes through the Almanac contract on the Fetch.ai blockchain.

“Every agent gets a wallet, so now they can lose your money without asking a human first.”

Website Docs 1.6k starsCompare vs…Dispute a fact
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What it is

uAgents is a lightweight Python framework in which an agent is an object with a name and a seed-derived cryptographic identity, and behaviour is attached with decorators such as on_interval for scheduled work and message handlers for events. Agents talk to each other over signed, wallet-backed messages, and on startup each one registers on the Almanac, a smart contract on the Fetch.ai blockchain, so other agents on the network can discover it. It ships as the uagents package plus a uagents-core library of the definitions needed to interoperate with the Fetch.ai agent marketplace.

Specification

Source verification

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readme
Needs individual review
docs
Needs individual review
install
Needs individual review
license
Needs individual review

Architecture

Type
Agent framework
Runsunsourced
local
Platforms
macos, linux, windows
Context windowunsourced
not documented
Languages
python

Models

Backboneunsourced
model-agnostic
Bring your own model
Yes
The library defines the agent lifecycle and messaging; the model, if any, is whatever you call from inside a handler.
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandsunsourced
No
Multi-file edits
No
Git operations
No
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelunsourced
free
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Free and open source under Apache-2.0 on PyPI; model and network costs depend on what you wire the agent into

Openness

Open sourcesrc ↗
Yes
License
Apache-2.0
First release
unknown
open-sourcepythonmulti-agentmessagingschedulingdecentralised

Los Agentes on uAgents

Who are they?
The ruling
El JuezThe judge

El Amigo likes how little code an agent takes here and El Crítico points at what happens at startup, and the second fact outlives the first.

Trial only
Reasoning and trade-offs · AI analysis

El Amigo scores usefulness on how quickly a scheduled agent gets written. El Crítico scores reliability down because starting one contacts a contract on an external network before anything local runs. El Profesor sits with the design and finds the identity model sound on its own terms.

El Crítico wins, because a dependency at boot is a dependency you cannot route around later, and El Amigo's convenience survives being wrong about it. Trial only, and the exit criterion is a documented way to run the agent with discovery switched off entirely.

Agree with El Juez?
El AmigoThe friend

Pick it if your agents mostly need to wake up on a schedule and answer messages; pick a general framework if what you want is a model doing work.

6.3
Reasoning and trade-offs · AI analysis

The deciding trait is how small the code is. An interval decorator and a message handler are the whole of a working agent, and if what you need is something that runs every minute and reacts to what arrives, you will have it running before the coffee cools. That economy is genuine and rarer than it should be.

Where it disappoints is expectations. This is a messaging and lifecycle library, not an agent that writes code. Pick it for scheduled services with identities. Pick something else if you wanted work done.

reliability
6
usefulness
6
cost
8
longevity
5
Agree with El Amigo?
El CríticoThe critic

Each agent registers on a smart contract on the Fetch.ai blockchain at startup, so a local process now depends on an external network before it is doing anything useful.

5.5
Reasoning and trade-offs · AI analysis

Discovery is coupled to a public ledger, and that coupling is at the worst possible moment. Startup is when you want the fewest external dependencies, because a failure there is total rather than partial, and this design adds a network and a contract to a path that could have been a config file listing peers.

What it does right is making the mechanism explicit. The dependency is documented, not hidden behind a service call that only reveals itself when the network is slow.

reliability
5
usefulness
5
cost
7
longevity
5
Agree with El Crítico?
El ProfesorThe professor

Identity is derived deterministically from a seed and messages between agents are signed, so the sender of a message is verified rather than asserted in its payload.

6.5
Reasoning and trade-offs · AI analysis
  1. Authenticated messaging is the right primitive for a network of independent processes, and it is one most agent frameworks omit entirely, leaving identity as a string somebody types. Here it is a keypair, and impersonation requires the key rather than the name. 2. Deriving that key from a seed makes an agent's identity reproducible across restarts and machines, which is what makes discovery meaningful at all.

  2. No evaluation accompanies the library, and its claims are architectural, so none is owed.

reliability
7
usefulness
6
cost
7
longevity
6
Agree with El Profesor?
La InversoraThe investor

Fetch.ai publishes it free at 1,635 stars alongside a second package whose purpose is interoperating with the company's own agent marketplace, which is where the business sits.

5.8
Reasoning and trade-offs · AI analysis

The library is the on-ramp and the marketplace is the product, which is a coherent strategy and a dependency worth naming out loud. Adoption of the framework only pays the sponsor if agents end up on the network, so the incentive runs toward tighter coupling over time rather than looser.

Moat: the network, if it ever reaches critical mass, and nothing otherwise. Likely path: continued publication as ecosystem marketing for as long as the parent's own thesis holds. Position: acceptable for experiments, and I would not build a commercial product on a network I do not control.

reliability
6
usefulness
5
cost
7
longevity
5
Agree with La Inversora?
La JefaThe CTO

Nothing to license for sixty engineers and nothing to administer, and the supported Python range stops at 3.13, which becomes my problem on the next platform upgrade.

5.5
Reasoning and trade-offs · AI analysis

This is a dependency, not a product, so there is no seat price and no console and no vendor to call. Whatever we build with it becomes a service my team runs, and the version window is the part I plan around: a supported range with an upper bound means our runtime upgrades are gated by somebody else's release cadence.

There is no unattended execution surface of its own, no identity integration and nothing to audit. Approved with conditions: it may sit inside a service we operate, and never on developer workstations as a tool.

reliability
5
usefulness
4
cost
8
longevity
5
Agree with La Jefa?
El HackerThe tinkerer

Apache-2.0 and one pip install, and it is model-agnostic to the point of indifference: whatever you call from inside a handler is your business.

6.8
Reasoning and trade-offs · AI analysis

Being unopinionated about models is the right kind of small. The library takes no view on inference, so my local endpoint, a hosted API or no model at all are equally valid inside a handler, and nothing has to be configured for a case the authors did not anticipate.

The gap is protocol support. There is no MCP at either end, so the tools I already run do not attach and the messaging here talks only to other agents built the same way. Permissive licence, readable source, small enough to fork.

reliability
7
usefulness
6
cost
8
longevity
6
Agree with El Hacker?