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Show HN: Memoriki – LLM Wiki+MemPalace for persistent personal knowledge bases
Memoriki is a template for building personal knowledge bases where the LLM does all the maintenance work.<p>It combines Karpathy's LLM Wiki pattern (structured markdown wiki maintained by an LLM) with MemPalace (an MCP server that adds semantic search and a temporal knowledge graph).<p>Three layers: - Wiki pages with [[wiki-links]] and YAML frontmatter - the LLM creates and maintains these - Semantic search via embeddings (ChromaDB) - find things by meaning, not keywords - Knowledge graph with typed relationships and date validity - "what changed since last month?"<p>It's not RAG. RAG re-derives answers from raw chunks every time. Here the LLM compiles knowledge into wiki pages once, keeps them current as new sources arrive, and the graph tracks how everything connects.<p>Works with any MCP-compatible agent (Claude Code, OpenAI Codex, Cursor, Gemini CLI).<p><a href="https://github.com/AyanbekDos/memoriki" rel="nofollow">https://github.com/AyanbekDos/memoriki</a>
Memoriki presents a technically sophisticated approach to AI-native knowledge management by moving beyond standard RAG into structured, LLM-maintained wikis. While the product architecture is innovative and leverages modern standards like MCP, it currently lacks commercial traction, team pedigree, and a clear path to monetization beyond being an open-source template.