Knowledge Share
Technical articles, tutorials, and insights
Open Source Project #199: OpenWiki — LangChain's Self-Maintaining Codebase Wiki CLI, Built for Agents, 15k Stars
LangChain AI's open-source CLI for automatic codebase documentation generation and maintenance. An agent reads your source code and writes a structured Markdown wiki, tracks each material fact back to exact code lines (Grounded Claims), and automatically updates when the code changes. Supports 13 model providers, Claude Code/Codex/OpenCode integrations, 9 knowledge connectors, and an interactive node-graph visualizer. TypeScript, MIT, 15k Stars.
Open Source Project #193: Semantica — Open-Source Palantir for AI Agents, Knowledge Graph + Deterministic Reasoning + W3C Provenance for Traceable, Auditable, Compliant AI Decisions
semantica-agi's graph-native AI infrastructure layer, positioned as the context and accountability layer for AI agents. Knowledge graph construction (Neo4j/FalkorDB/RDF), deterministic reasoning (Rete/Datalog/SPARQL/forward chaining, no LLM required), W3C PROV-O provenance (every fact traceable to its source), conflict detection and resolution, time-travel snapshots, compliance export (OWL/SHACL/RDF). Not a RAG framework, not a vector database — the explainable decision layer sitting beneath all of them. Integrates with Claude Code, Cursor, Codex, Agno, CrewAI, LangChain, LlamaIndex, and more. 8.2k Stars, MIT.
Open Source Project #186: Open Ontologies — Rust MCP Server for AI-Native Ontology Engineering, 70+ Tools, Single Binary, No JVM, Builds in 5 Minutes What Takes 4 Hours in Protégé
The Tesseract Academy's Rust MCP server that turns ontology engineering into AI-agent-callable capabilities. 70+ tools covering validation, reasoning, alignment, lifecycle governance, and RAG augmentation. Three-layer architecture: Dynamics (atomic ops + OWL-RL), Causal (causal identification), Planner (PDDL compilation). Tauri 2 + React 19 Studio desktop app with AI chat panel for building production OWL ontologies. Pizza ontology benchmark: 96% coverage in 5 minutes vs. 4 hours manual in Protégé. OAEI anatomy alignment precision 0.960 (3rd globally). Built-in marketplace of 33 standard ontologies including full IES support for UK National Digital Twin Programme. 341 Stars, MIT.
Open Source Project #182: Graphify — Turn Your Entire Codebase into a Queryable Knowledge Graph for AI Coding Assistants
YC-backed open-source tool that uses tree-sitter AST to parse code locally and an optional LLM backend to process docs, PDFs, images, and video — building everything into one queryable knowledge graph. AI assistants traverse the graph instead of grepping. Every edge is tagged EXTRACTED/INFERRED/AMBIGUOUS. Incremental updates patch only changed files in ~0.8 seconds. Supports Claude Code, Cursor, Codex, and 15+ other AI tools via MCP. Optional Neo4j/FalkorDB backends. 101k Stars, Apache-2.0 + MIT.
Open Source Project #183: Ontology Playground — Microsoft's Zero-Backend Visual Ontology Learning Tool
Microsoft's open-source pure-static web app for learning ontology design and Microsoft Fabric IQ. Visual drag-and-drop ontology designer, RDF/OWL import/export, six industry domain pre-built ontologies, nine structured courses with interactive quizzes, and a one-line embeddable widget. Zero server dependency — runs directly in the browser, deployable to GitHub Pages or Azure Static Web Apps. React 19 + TypeScript + Cytoscape.js. 2.3k Stars, MIT license.
Open Source Project #162: code-review-graph — Build a Structural Map of Your Codebase to Cut AI Review Tokens by 82x
Local-first code intelligence graph. Tree-sitter parses the AST, SQLite persists the graph, 30 MCP tools surface precise context. Blast-radius analysis traces change impact chains, incremental updates complete in 2 seconds, 40+ languages supported. Benchmarked 82x median token reduction (528x max). 19.7k+ Stars, MIT.
Open Source Project #136: OpenMemory — A Real Cognitive Memory Engine for AI Agents
Self-hosted cognitive memory engine for AI agents with five memory sectors (episodic, semantic, procedural, emotional, reflective), temporal knowledge graph, and Waypoint association graph. 110-130ms query latency, 6-10× cheaper than SaaS alternatives. Python/Node SDK, MCP, LangChain/CrewAI support. Apache 2.0.
One Open Source Project a Day (No.81): The Y Combinator CEO Wrote His Own AI Brain and Open-Sourced It
A deep dive into GBrain, the AI persistent memory system personally built and open-sourced by Y Combinator CEO Garry Tan, with 10k+ Stars. Features hybrid search (vector + keyword RRF fusion) achieving 95% Recall@5, zero-LLM knowledge graph auto-wiring, Minions deterministic task queue that's 13x faster than LLM sub-agents, and 26 skills covering everything from personal CRM to autonomous agent memory. He uses it to manage 17,888 documents, 4,383 contacts, and 723 companies. MIT licensed.