CrewAI
Multi-agent automation framework & studio to build and run AI crews
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Build modular AI agents with predictable, reusable components.
Atomic Agents lets developers craft lightweight, composable AI pipelines using familiar Python patterns, with clear input/output schemas, dynamic context providers, and seamless provider integration.
When teams consider Atomic Agents, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Customer support assistant with follow‑up suggestions
Generates helpful answers and three relevant follow‑up questions, improving ticket resolution.
Research query generator chained to web‑search tool
Creates diverse search queries, passes them to a search agent, and returns curated results.
Dynamic knowledge base updater via context provider
Injects latest document snippets into the system prompt, keeping the agent’s responses current.
Multi‑model pipeline swapping providers
Switches between OpenAI and Groq models without code changes, demonstrating extensibility.
Yes, install the corresponding Python package (e.g., openai, groq) and configure the client in AgentConfig.
By defining explicit Pydantic input and output schemas, which validate data before and after the model call.
Any provider with a compatible Python SDK can be integrated by passing its client to the configuration.
The CLI helps download tools, agents, and pipelines, and can scaffold projects from the command line.
Yes, join the Discord server (discord.gg/J3W9b5AZJR) or the subreddit /r/AtomicAgents for discussion and help.
Project at a glance
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