Linggen – A local-first memory layer for your AI (Cursor, Zed, Claude)

In plain words

Linggen is a local-first memory layer that indexes documentation and project context for use with AI coding assistants like Cursor, Zed, and Claude. It stores code embeddings and indexed documents on your machine without requiring accounts, and integrates via VS Code extension and MCP protocol. The tool helps developers avoid repeatedly explaining complex multi-project systems to LLMs by loading architectural context in a single click, while also providing visibility into file dependencies and supporting team knowledge sharing.

written from the facts on this page · September 2026

From the sources

Local-first AI agent runtime for macOS — any model on your own machine, skills as files, your phone as a peer over WebRTC. - linggen/linggen

Local-first AI apps on your own machine. A personal CFO that reads your bank statements without uploading them, a Mac health doctor, a music DJ — full apps on one open runtime, with a general-purpose assistant built in. CFO catches a $389 double charge (statements never leave your Mac) · Apple Shifu scores your Mac's health · DJ runs karaoke night. Full demo → curl -fsSL https://linggen.dev/install-app.sh | bash Engine only — CLI + web UI, macOS and Linux: curl -fsSL https://linggen.dev/install.sh | bash ling Opens the web UI at http://localhost:9527 . Skills, agents, missions — all files. New apps are a folder away. Browse community skills at github.com/linggen/skills . Architecturally,…from github.com

In the maker’s words, at launch

Hi HN, Working with multiple projects, I got tired of re-explaining our complex multi-node system to LLMs. Documentation helped, but plain text is hard to search without indexing and doesn't work across projects. I built Linggen to solve this. My Workflow: I use the Linggen VS Code extension to "init my day." It…

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