The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without sacrificing developer experience and maintainability. The framework provides a set of tools and agents that can be combined to create powerful applications. It is built on top of Instructor and leverages the power of Pydantic for data and schema validation and serialization. All logic and control flows are written in Python, enabling developers to apply familiar best practices and workflows from traditional software development without compromising flexibility or clarity.

Features

  • Lightweight and modular design
  • Support for building agentic AI pipelines
  • Integration with Pydantic for data validation
  • Extensible with custom modules
  • Focus on developer experience
  • Comprehensive guides and documentation

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Atomic Agents

Atomic Agents Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Atomic Agents!

Additional Project Details

Programming Language

Python

Related Categories

Python Agentic AI Tool, Python AI Agent Frameworks, Python AI Agents

Registered

2025-01-06