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Memoriki

LLM Wiki+MemPalace for persistent personal knowledge bases

Details

External ID
47711037
Source
HN
Company
—
Product
—
Website domain
—
Launched
April 9, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.11182519280205655
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Memoriki is a template for building personal knowledge bases where the LLM does all the maintenance work.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).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?"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.Works with any MCP-compatible agent (Claude Code, OpenAI Codex, Cursor, Gemini CLI).https://github.com/AyanbekDos/memoriki

Enrichment

Theme
Vertical
Horizontal
Function
Vertical SaaS
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
knowledge base combining wiki and memory palace
Manually corrected
False

Could you build this?

Yes Memoriki is a markdown knowledge-base template integrating an existing MCP server and standard LLM prompts for semantic search and file updates.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 35 launches clear the similarity bar, closest 8 shown.

Attention rank: #36 of 36 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 142 days after the earliest competitor.

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