procedural-knowledge

Spatial AI and procedural knowledge research: a GPU-native reference implementation for concepts proposed to PM-KR, exploring shared knowledge for human and AI clients.

2937 everyday how-to recipes across 17 domains (incl. software-engineering and AI/LLM-engineering tracks for coding agents) — structured, verifiable procedures for training agents and robots, and as a human manual. MCP server + installable skill packs + long-horizon journeys.

Extract Procedural Knowledge Graphs (ordered steps + typed constraints) from safety-critical industrial documents using local LLMs. Includes DSC chunking, two-stage prompting, and a source-grounded evaluation corpus.

An annotated dataset for procedural text mining from product manuals

The same knowledge (a character, a formula, a concept) is duplicated dozens of times across the web — in fonts, embeddings, accessibility metadata, visual assets — maintained separately, drifting apart. PM-KR standardizes storing knowledge once as executable procedures, consumable by both humans and AI from a single source.

Procedural knowledge engine for Node.js on Git, SQLite and the filesystem. Zero dependencies, built-in LLM tool facade.

AIReady best practices skill for AI agents - procedural knowledge for writing maintainable code

Graph-based retrieval, composition, and explanation of procedural knowledge across cooking and repair, with an interactive knowledge-graph explorer.