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# Swarms Docs | |
Welcome to Swarm's Documentation! | |
Swarms is a modular framework that enables reliable and useful multi-agent collaboration at scale to automate real-world tasks. | |
Swarms is transforming the landscape of AI from siloed AI agents to a unified 'swarm' of intelligence. Through relentless iteration and the power of collective insight from our 1500+ Agora researchers, we're developing a groundbreaking framework for AI collaboration. Our mission is to catalyze a paradigm shift, advancing Humanity with the power of unified autonomous AI agent swarms. | |
This documentation covers the fundamentals of the **Swarms** framework and describes how to use **Swarms Tools**. | |
## Swarms | |
The Swarms framework provides developers with the ability to create AI systems that operate across two dimensions: predictability and creativity. For predictability, Swarms enforces structures like sequential pipelines, DAG-based workflows, and long-term memory. To facilitate creativity, Swarms safely prompts LLMs with [tools](https://github.com/kyegomez/swarms-tools) and short-term memory connecting them to external APIs and data stores. The framework allows developers to transition between those two dimensions effortlessly based on their use case. | |
Swarms not only helps developers harness the potential of LLMs but also enforces trust boundaries, schema validation, and tool activity-level permissions. By doing so, Swarms maximizes LLMs’ reasoning while adhering to strict policies regarding their capabilities. | |
[Learn more about swarms →](swarms/) | |
## Examples | |
Check out Swarms examples for building agents, data retrieval, and more. | |
[Checkout Swarms examples →](examples/) | |