Interesting finds, updated throughout the week. Showing latest 3 additions.
A TypeScript search library providing full-text, vector, and hybrid search capabilities for browser, server, and edge environments, with under 2KB size and zero dependencies.
An open-source graph-vector database built in Rust, combining graph and vector data types natively for AI and RAG applications.
A browser automation tool implementing the Model Context Protocol (MCP) using Playwright, enabling LLMs/AI agents to control browsers via accessibility trees, integrated with Claude Desktop and Cursor IDE.
LLM-generated research, prompt explorations, and AI-assisted deep dives.
A deep dive comparing open-source and closed-source AI memory/knowledge graph solutions (vector DBs, graph DBs, hybrid) for agentic workflows, evaluating features like retrieval style, scalability, and LLM optimization.
A comprehensive analysis of leading open-source LLM observability, evaluation, and testing platforms, including pros, cons, intended audience, hosting requirements, and a comparison table.
A deep research exploration of AI agent patterns, their evaluation, and comparison for solutions architects.
Experimental projects and learning explorations in AI and development
Detailed tutorials and best practices for AI development and implementation
Brewing the perfect guides...
Just need one more cup of coffee to finish writing these.
"Welcome to my digital garden — a delightful mix of carefully crafted guides and my somewhat chaotic (but hopefully useful) learning notes. It's like a cookbook where half the recipes are tested, and half are my excited 3 AM experiments."
— David