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LLM Wiki cc
A personal Wikipedia an LLM maintains for you
Drop in papers, notes, PDFs, or URLs and an agent compiles them into a cross-linked markdown wiki you own. Each new source makes every page richer, not just adds one. Open source, local-first, free to start with local Ollama models. An implementation of Karpathy's LLM Wiki pattern. Artificial Intelligence, Open Source, Developer Tools, Productivity, Notes
Hey Product Hunt, maker here. I built LLM Wiki to close the gap between two tools I use daily. RAG chatbots (NotebookLM, ChatGPT) forget your corpus the moment you close the tab. Notes apps (Obsidian, Notion) make you do all the writing, linking, and cleanup yourself. LLM Wiki sits in between. You feed it sources, an agent writes and cross-links the pages, checks for contradictions, and keeps the index current, so knowledge accumulates instead of evaporating. It's all plain markdown you own, runs on your machine, and is free to start with local models via Ollama (or bring an OpenRouter key for frontier models). Open source under MIT. I'd love feedback, contributors, and ideas, and I'll be here in the comments all day.
About LLM Wiki cc on Product Hunt
“A personal Wikipedia an LLM maintains for you”
LLM Wiki cc was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #44 on the daily leaderboard. Drop in papers, notes, PDFs, or URLs and an agent compiles them into a cross-linked markdown wiki you own. Each new source makes every page richer, not just adds one. Open source, local-first, free to start with local Ollama models. An implementation of Karpathy's LLM Wiki pattern. Artificial Intelligence, Open Source, Developer Tools, Productivity, Notes
On the analytics side, LLM Wiki cc competes within Productivity, Open Source, Artificial Intelligence and GitHub — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how LLM Wiki cc performed against the three products that launched closest to it on the same day.
Who hunted LLM Wiki cc?
LLM Wiki cc was hunted by Sajana Yasas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LLM Wiki cc including community comment highlights and product details, visit the product overview.
Sajana Yasas
Hey Product Hunt, maker here. I built LLM Wiki to close the gap between two tools I use daily. RAG chatbots (NotebookLM, ChatGPT) forget your corpus the moment you close the tab. Notes apps (Obsidian, Notion) make you do all the writing, linking, and cleanup yourself.
LLM Wiki sits in between. You feed it sources, an agent writes and cross-links the pages, checks for contradictions, and keeps the index current, so knowledge accumulates instead of evaporating. It's all plain markdown you own, runs on your machine, and is free to start with local models via Ollama (or bring an OpenRouter key for frontier models).
Open source under MIT. I'd love feedback, contributors, and ideas, and I'll be here in the comments all day.