GBrain is a personal knowledge management system designed as an AI agent memory layer. It provides a persistent knowledge base that runs as a 24/7 daemon for continuous ingestion, enrichment, and consolidation of information from various sources. The system features a CLI-first architecture with MCP (Model Context Protocol) support for AI agent integration, a web admin interface, and extensibility through skill packs. It uses a hybrid storage approach with PGLite for local/single-user deployments and Postgres+pgvector for shared/scale deployments, incorporating vector search, full-text search, and a self-wiring knowledge graph with typed edges. The system includes evaluation frameworks (BrainBench, takes-quality assessment), an advisor system for health recommendations, and automated maintenance cycles.
TriliumNext/Trilium is a full-stack, cross-platform hierarchical note-taking application with rich text editing, LLM integration, sync, encryption, and a plugin-based architecture. The monorepo contains a Node.js Express server (SQLite backend), a Preact/React SPA client, an Electron desktop wrapper, a standalone browser-SQLite-WASM build, and a Capacitor mobile app. The system manages notes as a tree with cloning, attributes, relations, and multiple content types (text, code, mind maps, canvases, spreadsheets, calendars, etc.). It provides custom CKEditor5 plugins for math, footnotes, mermaid diagrams, and AI assistance, as well as a full-featured LLM chat with tool execution and skill sheets. The codebase is well-tested with over 2000 spec files, uses modern TypeScript and pnpm workspaces, and includes comprehensive import/export (Evernote, OneNote, Obsidian, Notion, Google Keep, OPML, Markdown, HTML) and sync capabilities. Key architectural patterns include a provider abstraction for platform-specific services (crypto, zip, messaging, clipboard), a component-based widget system on the client, and a centralized entity cache (becca/froca) that is synchronized via WebSocket.
chubbyskills is a personal knowledge management CLI toolkit that ingests content from over a dozen platforms (YouTube, Bilibili, X, Xiaohongshu, WeChat, Douyin, Podcasts, etc.), transcribes audio/video locally or via cloud providers, and outputs structured Markdown notes with YAML frontmatter (schema v1). The system is architected as a collection of modular "skills" (one per platform) orchestrated by a unified CLI (`tools/chubby.py`), with shared utilities in `chubby_common/`. It includes an incremental knowledge base indexer using SQLite FTS5 and optional semantic embeddings, an MCP server exposing six tools for AI agent integration, and a deterministic evidence brief generator with integrity validation. Operation is local-first: transcription uses SenseVoice and faster-whisper, video downloading uses yt-dlp, and all processing is designed to work offline. Cloud transcription (Atlas/MuAPI) and LLM enrichment (DeepSeek) are optional extensions. The repository also provides a skill installer, platform smoke testing, output validation, and retry mechanisms with credential redaction. Despite the breadth, the codebase maintains clean separation of concerns, with the shared library standing out as a reusable zero-dependency core.