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atomic-agents Plugin

Category
Development
Topics
AI Agents & AI App Development · Claude Code Customization & Workflow
First seen
2026-07-09
Last confirmed
2026-07-13
Explanation last updated
2026-07-12

The explanation below is AI-generated. Please verify it against the sources.

Atomic Agents is an open-source, lightweight, and modular Python framework for building agentic AI pipelines and applications, built on the Instructor and Pydantic libraries. According to the README, agents, tools, and context providers are designed as single-purpose, reusable, and composable building blocks with clearly defined input/output schemas for predictable behavior. The project includes a CLI called Atomic Assembler and a tool collection called Atomic Forge, plus example projects covering chatbots, RAG, and web search. It supports multiple LLM providers such as OpenAI, Anthropic, Groq, Gemini, and Ollama via Instructor. The framework is distributed under the MIT license.

Overview

Atomic Agents is not a hosted SaaS product; per its GitHub README, it is an open-source Python library/framework installed via pip for building AI agents, released under the MIT license, with an accompanying CLI (Atomic Assembler) and tool collection (Atomic Forge).

What you can do with atomic-agents

  • Install atomic-agents via pip and build agents composed of a System Prompt, Input Schema, Output Schema, and History
  • Use Context Providers to inject dynamic information into an agent's system prompt at runtime
  • Chain agents and tools together by aligning their output and input schemas to build modular pipelines
  • Use the Atomic Assembler CLI (atomic command) to browse and download tools from Atomic Forge (e.g., arXiv Search, Calculator, PDF Reader, Weather, Wikipedia Search)
  • Choose among multiple LLM providers supported via Instructor, including OpenAI, Anthropic, Groq, Gemini, Ollama, Mistral, Cohere, and MiniMax
  • Reference quickstart and complete examples in the atomic-examples directory, such as basic chatbot, RAG chatbot, web search agent, YouTube summarizer, deep research, orchestration agent, hooks system, and basic multimodal

Sources

Original description (English)

Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and tool development. Features guided workflows, progressive-disclosure skills, and best practice validation.

History of atomic-agents

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