Context Hub is a documentation and skill repository designed for coding agents to access curated, versioned API docs and learn from experience across sessions.
Coding agents struggle with hallucinating APIs and losing context between tasks. Context Hub addresses this by maintaining a centralized, open-source repository of markdown-based documentation that agents can search, fetch, and annotate. Agents can retrieve specific API docs via the CLI, attach local notes to improve future performance, and provide feedback that flows back to documentation authors. This creates a self-improving loop where docs become more accurate and useful as agents and users vote on their quality.
The tool suits teams building AI coding agents that need reliable, up-to-date API documentation without token waste. It works best when you want agents to learn from their own mistakes and when you value transparency—all content is plain markdown you can inspect directly. The project is designed specifically for agent consumption rather than human reading, though humans can contribute and maintain the docs. If your agents are currently hallucinating API details or forgetting solutions between runs, this provides a structured way to ground them in versioned, community-maintained knowledge.
The project receives most of its issue reports from outside users rather than the core team, indicating a real user base encountering genuine problems. Responses to issues and pull requests typically arrive within one to two weeks. Work in the issue tracker centers on enhancements and bug fixes, reflecting active development focused on improving functionality and reliability.
