Autochain
FreeBuild lightweight, extensible, and testable LLM Agents with AutoChain. 
FreeFree tier
About Autochain
AutoChain is an open-source, lightweight framework for building custom LLM agents. Inspired by LangChain and AutoGPT, it simplifies agent creation with a minimal abstraction layer, easy prompt engineering, and built-in support for custom tools and OpenAI function calling. A key feature is its automated multi-turn conversation evaluation using simulated users, enabling rapid iteration and regression testing.
Key Features
Lightweight and extensible generative agent pipeline
Agent that can use custom tools and supports OpenAI function calling
Simple memory tracking for conversation history and tool outputs
Automated multi-turn conversation evaluation with simulated conversations
Easy prompt updates and visualization of prompt outputs
Up to 2 layers of abstraction for rapid iteration
Pros & Cons
Pros
- Lightweight framework with minimal abstraction compared to alternatives
- Easy prompt engineering and debugging with verbose output flag
- Built-in automated multi-turn evaluation reduces manual testing
- Supports OpenAI function calling and custom tool integration
Cons
- Requires OpenAI API key for model access
- Smaller community and fewer integrations compared to larger frameworks like LangChain
Best For
Building custom generative agents for specific tasksAutomated evaluation and regression testing of agent behaviorRapid prototyping and iteration on conversational AI
FAQ
What is AutoChain?
AutoChain is a lightweight, extensible, and testable framework for building LLM agents, inspired by LangChain and AutoGPT.
How does AutoChain simplify building agents?
It provides easy prompt updates, minimal abstraction layers, and automated multi-turn evaluation with simulated conversations to speed up iteration and reduce manual testing.