BrainBlend-AI/atomic-agents
Building AI agents, atomically
Leverages Pydantic schemas for strict input/output validation and Instructor for structured LLM responses, enabling deterministic agent behavior without sacrificing flexibility. Supports context providers for dynamic prompt injection and tool integration, while maintaining explicit Python-based control flow for predictable agentic pipelines. Compatible with multiple LLM providers (OpenAI, Groq, etc.) and includes an Atomic Assembler CLI for downloading reusable tools and components.
5,758 stars and 23,550 monthly downloads. Actively maintained with 33 commits in the last 30 days. Available on PyPI.
Stars
5,758
Forks
475
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2026
Monthly downloads
23,550
Commits (30d)
33
Dependencies
10
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