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How I Built a Local AI Assistant for Obsidian — No Cloud, No API Keys
- Obsidian has become popular for managing knowledge in a local-first way, attracting developers, researchers, and writers.
- Many AI tools for Obsidian require API keys and send data to third-party clouds, compromising privacy and control.
- To address this, a local AI assistant was built to offer AI benefits without sacrificing privacy or offline functionality.
- The assistant is a CLI tool that operates locally, ensuring everything stays on the user's machine.
- It allows functions like note summarization, semantic search, writing assistance, and offline usage without dependencies on APIs.
- Installation is simple with Python 3.6+ and pip, offering a one-command setup without the need for API keys or external servers.
- Key benefits include privacy by default, instant local execution, hackability, and resilience in offline environments.
- Challenges in development included managing model sizes, executing in memory to enhance security, avoiding antivirus false positives, and balancing simplicity with technical functionality.
- Planned features for the assistant include embedding search, model flexibility, prompt templates, Obsidian plugin integration, and a GUI launcher.
- The project invites community involvement for collaboration, improvement suggestions, and experimentation to enhance AI workflows in an offline and private setting.
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