Open Brain — The infrastructure layer for your thinking. One database, one AI gateway, one chat channel — any AI plugs in. No middleware, no SaaS.
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Updated
Aug 9, 2026 - TypeScript
Open Brain — The infrastructure layer for your thinking. One database, one AI gateway, one chat channel — any AI plugs in. No middleware, no SaaS.
Personal Intelligence Engine — aggregates communication streams into a searchable local index
🗂️ 让 AI 真正理解你——面向中文用户的 AI 个人上下文档案库,9 个访谈 Prompt 生成结构化档案,告别每次从零开始的 AI 对话
JanusLM is a Two-faced AI agent. One side reads, catalogs, connects. The other acts: writes documents, analyzes data, answers questions.
Patterns and insights about yourself, picked up your Wispr Flow chats
AI Skills. A self-contained "brain" distilled from The Book of Elon — 72 mental models + the full book corpus, answering in his voice.
Your AI tools forget you every night. Engram watches how you work and gives them persistent memory. 100% local, zero deps, runs overnight.
Yet another Zettelkasten template
An AI teammate that grows into the shape of the person it serves. The tangible example of humorphism.
Embedding, search, novelty detection, and clustering for knowledge-dense text corpora. Optimized for claims, research findings, notes, and annotations.
🦞 Your content. All of it. Semantic search across GitHub, files, screenshots, videos — one index, one search bar. MCP server for Claude Code.
A two-layer personal knowledge system: LLM-maintained wiki + MemPalace semantic search. Built on Karpathy's LLM-Wiki pattern.
Local-first toolkit for turning X/Twitter bookmarks into a private, searchable archive with tagging, summaries, exports, SQLite, and a browser UI.
Local-first, evidence-grounded personal philosophy engine and agent skill
Turn saved content from any platform into a queryable knowledge graph with semantic search.
Your intelligent co-pilot for everyday tasks. Because everyone deserves a Jarvis.
A companion OS for soul-making
A brain-shaped memory for AI agents. Plain markdown. Cross-platform. No dependencies.
PersonalRAGVault is a local-first RAG system that ingests personal data from downloads (emails, chats, invoices, codebases, tweets), embeds it with a lightweight 0.6B model on CPU, stores in a vector database, and enables natural language queries via any local LLM like Ollama. Optimized for MacBook M1 with CPU inference
Local-first macOS app for collecting images, video, links, and text into boards — private mood board / Are.na-style library with no cloud
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