This repository is a local-first, source-cited knowledge base management system, delivered primarily as a Claude Code plugin and a standalone Python CLI tool. It manages Obsidian vaults with a strong emphasis on data integrity, provenance tracking, and deterministic operations. The architecture is a monolithic Python library (`claude_obsidian/`) with a formal transaction system for all vault mutations, a robust lint engine, and a retrieval pipeline (BM25 + optional semantic reranking). It features a sophisticated skill/agent framework for AI integration across multiple hosts (Claude, Cursor, Windsurf, etc.). While primarily an application, it incorporates significant data engineering and research data management (RDM) patterns. The provenance ledger system (`ledgers.py`) enforces strict schemas for sources and claims, including canonical URL handling, content-addressed identity, and evidence validation rules. The retrieval pipeline implements Anthropic's Contextual Retrieval pattern. This hybrid nature makes it a powerful tool for both knowledge management and structured research workflows. The codebase demonstrates exceptionally high craftsmanship in its transaction system, defensive I/O, and deterministic analysis tools. It is actively maintained with a comprehensive test suite and a formal release process. Its primary limitation is platform dependency on Linux/macOS for write operations (WSL required for Windows).
Understand Anything is a developer tool that analyzes codebases to create interactive knowledge graphs for code comprehension and onboarding. It combines deterministic static analysis (using tree-sitter) with LLM-powered semantic understanding to build explorable graphs of files, functions, classes, dependencies, and business domains. The system features a multi-agent pipeline for analysis, incremental updates via fingerprinting, and a React/Vite dashboard for visualization with guided tours, semantic search, and diff impact analysis. The architecture follows a monorepo structure with pnpm workspaces separating core analysis engine, dashboard UI, and plugin interface. Key capabilities include language-agnostic structural analysis across 30+ programming languages, business domain extraction, knowledge base analysis (Obsidian/Logseq-style wikis), and multi-platform support for AI coding assistants (Claude Code, Codex, Cursor, Copilot). The system operates offline for structural analysis while optionally leveraging LLMs for enrichment, with persistence to a .ua/ directory for team collaboration via version control.