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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A fast and lightweight framework for creating decentralized agents with ease.
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Today
-1 stars today
This week
— stars this week
This month
-2 stars this month
Momentum
15.0
growth rate 0.00%/day
# uAgents: AI Agent Framework
[](https://fetch.ai) [](https://github.com/Fetchai/uAgents/stargazers) [](https://twitter.com/fetch_ai)
[](https://github.com/astral-sh/ruff) [](https://github.com/Fetchai/uAgents/actions/workflows/ci-tests.yml) [](https://pypi.org/project/uagents/)
uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events.
## 🚀 Features
- 🤖 **Easy creation and management**: Create any type of agent you can think of and implement it in code.
- 🔗 **Connected**: On startup, each agent automatically joins the fast-growing network of uAgents by registering on the Almanac, a smart contract deployed on the Fetch.ai blockchain.
- 🔒 **Secure**: uAgent messages and wallets are cryptographically secured, so their identities and assets are protected.
## ⚡ Quickstart
### Installation
Get started with uAgents by installing it for Python 3.10 to 3.13:
pip install uagents
### Running a Demo
#### Creating an Agent
Build your first uAgent using the following script:
```python3
from uagents import Agent, Context
alice = Agent(name="alice")
```
Include a seed parameter when creating an agent to set a fixed address, for example from an environment variable:
```
import os
alice = Agent(name="alice", seed=os.getenv("ALICE_SEED_PHRASE"))
```
Otherwise the agent's private key will be stored locally alongside its name in `private_keys.json`.
If you create the agent without a name `alice = Agent()`, a new address will be generated each time you run the agent.
#### Giving it a task
Give it a simple task, such as a greeting:
```python3
@alice.on_interval(period=2.0)
async def say_hello(ctx: Context):
ctx.logger.info(f'hello, my name is {ctx.agent.name}')
if __name__ == "__main__":
alice.run()
```
#### Running the Agent
So far, your code should look like this:
```python3
from uagents import Agent, Context
alice = Agent(name="alice", seed="alice recovery phrase")
@alice.on_interval(period=2.0)
async def say_hello(ctx: Context):
ctx.logger.info(f'hello, my name is {ctx.agent.name}')
if __name__ == "__main__":
alice.run()
```
Run it using:
```bash
python agent.py
```
You should see the results in your terminal.
## 📖 Documentation
Please see the [official documentation](https://uagents.fetch.ai/docs) for full setup instructions and advanced features.
- [👋 Introduction](https://uagents.fetch.ai/docs)
- [💻 Installation](https://uagents.fetch.ai/docs/getting-started/install)
- Tutorials
- [🤖 Create an Agent](https://uagents.fetch.ai/docs/getting-started/create)
- [🛣️ Agent Communication](https://uagents.fetch.ai/docs/guides/communication)
- [🍽️ ASI:One Compatible Agent](https://uagents.fetch.ai/docs/examples/asi-1)
- Key Concepts:
- [📍Addresses](https://uagents.fetch.ai/docs/getting-started/address)
- [💾 Storage](https://uagents.fetch.ai/docs/guides/storage)
- [📝 Synchronous Communication](https://uagents.fetch.ai/docs/guides/send_receive)
- [🌐 Agent Broadcast](https://uagents.fetch.ai/docs/guides/broadcast)
## 🌱 Examples and Integrations
The [`uAgent-Examples`](https://github.com/fetchai/uAgent-Examples) repository contains several examples of how to create and run various types of agents as well as more intricate integrationExcerpt of 5,813 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f3a9469224325d33, topic:ai-agents, topic:agents, topic:multi-agent-systems