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Kye Gomez 3 weeks ago
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<a href="https://pypi.org/project/swarms/" target="_blank">
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<span>&nbsp;&nbsp;&nbsp;&nbsp;</span>
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<a href="https://swarms.ai">Swarms Website</a>
<span>&nbsp;&nbsp;&nbsp;&nbsp;</span>
<a href="https://docs.swarms.world">📙 Documentation</a>
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<a href="https://swarms.world"> Swarms Marketplace</a>
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## ✨ Features
@ -122,7 +136,6 @@ $ pip3 install -U swarms
[uv](https://github.com/astral-sh/uv) is a fast Python package installer and resolver, written in Rust.
```bash
# Install swarms using uv
$ uv pip install swarms
```
@ -168,7 +181,7 @@ from swarms import Agent
# Initialize a new agent
agent = Agent(
model_name="gpt-4o-mini", # Specify the LLM
max_loops=1, # Set the number of interactions
max_loops="auto", # Set the number of interactions
interactive=True, # Enable interactive mode for real-time feedback
)
@ -348,7 +361,7 @@ print(results)
### AgentRearrange
Inspired by `einsum`, `AgentRearrange` lets you define complex, non-linear relationships between agents using a simple string-based syntax. [Learn more](https://docs.swarms.world/en/latest/swarms/structs/agent_rearrange/). This architecture is Perfect for orchestrating dynamic workflows where agents might work in parallel, sequence, or a combination of both.
Inspired by `einsum`, `AgentRearrange` lets you define complex, non-linear relationships between agents using a simple string-based syntax. [Learn more](https://docs.swarms.world/en/latest/swarms/structs/agent_rearrange/). This architecture is perfect for orchestrating dynamic workflows where agents might work in parallel, in sequence, or in any combination you choose.
```python
from swarms import Agent, AgentRearrange
@ -721,7 +734,7 @@ By joining us, you have the opportunity to:
* **Work on the Frontier of Agents:** Shape the future of autonomous agent technology and help build a production-grade, open-source framework.
* **Join a Vibrant Community:** Collaborate with a passionate and growing group of agent developers, researchers, and AI enthusiasts.
* **Join a Vibrant Community:** Collaborate with a passionate and growing group of agent developers, researchers, and agent enthusasits.
* **Make a Tangible Impact:** Whether you're fixing a bug, adding a new feature, or improving documentation, your work will be used in real-world applications.

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