Laptop AI – local AI memory for your files
Laptop AI is a local-first AI memory engine designed for personal computers. It allows users to query files on their computer using local language models, providing contextually relevant answers. The system emphasizes security by indexing only user-selected folders and avoiding whole-home indexing.
- ▪Laptop AI indexes selected folders into a custom disk-backed vector database.
- ▪The system retrieves answers based on local LLMs while ensuring user privacy.
- ▪It includes features like a secret scanner and a denylist to prevent accidental indexing of sensitive information.
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Laptop AI Private AI memory infrastructure for personal computers. Laptop AI is a local-first AI memory engine that lets users ask questions about files on their computer using local LLMs. It indexes selected folders into a custom disk-backed vector database and retrieves relevant context for private, source-cited answers. Demo Assets For a short project post: Main visual: terminal GIF Backup visual: architecture diagram Backup visual: benchmarks and security proof Setup Requirements: Go 1.22+ Ollama running locally at http://localhost:11434 Ollama models: nomic-embed-text and llama3 ollama serve ollama pull nomic-embed-text ollama pull llama3 go build ./cmd/laptop-ai Run the verified demo: ./laptop-ai init ./laptop-ai index ./examples/notes ./laptop-ai ask "what controls movement in my…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.