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# Swarms Docs
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Welcome to Swarm's Documentation!
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Swarms is a modular framework that enables reliable and useful multi-agent collaboration at scale to automate real-world tasks.
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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.
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This documentation covers the fundamentals of the **Swarms** framework and describes how to use **Swarms Tools**.
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## Swarms
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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.
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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.
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[Learn more about swarms →](swarms/)
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## Examples
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Check out Swarms examples for building agents, data retrieval, and more.
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[Checkout Swarms examples →](examples/)
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