Building Your (Local) LLM Second Brain
summary
Claims a fully local, private “second brain” runs on a laptop using OSS components and low energy, and demonstrates it actually works by extracting action items and writing them into a to‑do manager. Stack: Ollama for local model hosting, Granite model for inference, LangChain (via OpenWebUI) for note retrieval from synced Obsidian markdown, and Autogen/Crew AI to orchestrate planner/judge/critic/reflection agents. Tool calls produce JSON that stores tasks into the to‑do list during the demo.
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