Atomic Agents

Atomic Agents offers a lightweight and modular framework for building robust and maintainable AI agents and pipelines. Unlike many other frameworks, it emphasizes control and predictability, essential for real-world applications where consistent and reliable outputs are paramount. Built on Python using Instructor and Pydantic, it allows developers to leverage familiar software development best practices. It is designed around the concept of atomicity, where agents are composed of key, interchangeable components. This enables easy chaining of agents and tools by aligning their input and output schemas, facilitating modularity and reusability.

Atomic Agents further enhances agent functionality through dynamic context injection using context providers. The Atomic Assembler CLI simplifies tool management, enabling developers to download and customize tools with integrated tests, avoiding unnecessary dependencies. The framework's compatibility with various LLM providers (via Instructor) including Ollama, Groq, Mistral, and more, adds further flexibility. With a focus on practical use, Atomic Agents provides numerous examples, from basic chatbots to complex agents that perform web searches and summarize YouTube videos.