EVAL

Why we included this project

Teams exploring autonomous agents will find a concrete reference in this early 2023 LangChain-based design, which runs an agent as a loop: plan, search, write code, run it, and patch its own mistakes until the request is finished. Instead of only answering questions, EVAL manages its own tooling, reading and editing files, calling a terminal, querying Google, Bing, or Wikipedia, and creating new tools by writing and testing code. That self-extending approach makes it worth studying if you want an agent to grow its own capabilities rather than hard-code every step. It also bundles multimodal extras like image captioning, visual Q&A, and Stable Diffusion generation, showing how vision tools plug into an agent pipeline. Note that the project has been dormant since 2023 and carries incomplete TODOs, so it works better as a design study or prototype seed than as a dependency for production.