Knemora Open-Source Local AI Second Brain Releases First Public Version
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Knemora has released its first public version v0.1.0-alpha, a local-first open-source knowledge and agent platform that requires no mandatory cloud services, external LLM APIs, or vector databases. It supports ingesting PDF, DOCX, CSV and other documents, compiling them into a portable Markdown Wiki, and rendering a second-brain graph via Sigma.js, running Qwen3-8B inference locally through llama.cpp by default. This version is positioned as alpha software for early testing and feedback, with a v1.0.0 planned for the future but no date announced. The public alpha supports Metal-hosted installation on native macOS Apple Silicon; running it requires Node.js 24 or newer and npm. The first installation requires an internet connection to download the runtime, packages, and models; preparing to launch and running locally and privately does not check the release host or depend on hosted services. According to the release information, the repository was prepared for the first public release of v0.1.0-alpha.
AI overview based on source reports · Updated 3 days ago
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- Hacker News AIShow HN: I built Knemora – An Open-source AI Second brain
Knemora is an open-source, local-first knowledge and agent platform with a native Second Brain graph, a portable Markdown Wiki, and local AI inference that runs without a mandatory cloud service, external LLM API, or vector database. The repository is prepared for its first public release, v0.1.0-alpha, and supports managed setup on macOS Apple Silicon with Node.js 24, local Qwen3-8B inference via llama.cpp, document ingestion, BM25 search, and backup/restore workflows.
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