tldr: openground lets you give controlled access to documentation to AI agents. Everything happens on-device.

I'm sharing my initial release of openground, an opensource and completely on-device RAG tool that let's you give controlled documentation access to your coding agents. Solutions like Context7 MCP provide a likely source of truth for docs, but their closed-source ingestion and querying pose security/privacy risks. openground aims to give users full control over what content is available to agents and how it is ingested. Find a documentation source (git repo or sitemap), add it to openground via the CLI, and openground will use a local embedding model and vector db (lancedb) to store your docs. You can then use the CLI to install the MCP server to your agent to allow the agent to query the docs via hybrid BM25 full-text and vector search.

Again, this is an initial release, so it is pretty barebones. Upcoming features I am working on: - specific library version handling (it currently only supports latest versions) - docs "registry" to allow pushing and pulling of documentation embeddings within organizations to S3 - lighter-weight package

Suggestions and PRs welcome! I'll also be around for discussion.