core

Why we included this project

This one is built for people who want to see what an agent actually does instead of treating it as a black box. It bundles LLM calls, memory and vector search, function calling, and a plugin system into a compact Python microservice with a web UI and REST API, so a beginner can run it locally and follow how the pieces fit together. The maintainers say up front that education and research is the main use case, and the design reflects that: the code stays readable and easy to extend, and you can modify it with vibe coding or agentic engineering rather than fighting an opaque framework. It is also a convenient way to publish a working agent on the web. One caveat: the current major version is labeled an unstable alpha, so treat it as a learning and experimentation tool, not something to base a production service on today.