Neurix
Turns scattered info into a living second brain
What it does
Neurix isn't just a note tool; it builds a personal knowledge map. Whenever you feed in text, an LLM summarises and extracts key concepts, turning them into nodes and keys saved in your NodePool/KeyPool. Nodes with shared keys or similar embeddings connect into a weighted idea network. During chat, Neurix searches only your graph, uses vector search to broaden context, ranks answers, and suggests related nodes. It's all about your data, connecting it uniquely without inventing anything.
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Second Brain2025 · second-brain-lac-ten.vercel.app · ▲302The second brain that writes itself and build your tools
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I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
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Long-running agents struggle to attend to relevant information as context grows, and eventually hit the wall when the context window fills up. NERDs (Networked Entity Representation Documents) are Wikipedia-style entity pages that LLM agents build for themselves by reading a large corpus chunk-by-chunk. Instead of reprocessing the full text at query time, a downstream agent searches and reasons over these entity documents. The idea comes from a pattern that keeps showing up: brains, human cognition, knowledge bases, and transformer internals all organize complex information around entities…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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