GreenCube

GreenCube acts as a local proxy between an AI‑ and an LLM, recording the outcomes of each request and using that information to influence future interactions. By extracting facts, scoring response quality, and updating a per‑domain competence model, it can inject relevant knowledge into subsequent calls and avoid repeating patterns that previously led to errors. Developers can give explicit thumbs‑down feedback, which the system stores and matches against future tasks to prevent the same mistake.

The tool is intended for developers building agents that rely on OpenAI‑compatible APIs such as OpenAI, Ollama, LM Studio, OpenRouter, OpenClaw, LangChain, or CrewAI. Installation is a single command that runs a lightweight runtime exposing a local HTTP endpoint; the agent simply points its API base to this endpoint. A SQLite database holds the learned facts and competence scores, which decay over time if unused.

GreenCube continuously improves its knowledge base, automatically routing difficult domains to specialized sub‑agents and providing status endpoints for inspecting learned facts, recent activity, and competence metrics. It remains free, open source, and runs entirely on the user’s machine.