A knowledge graph is like a smart notebook that remembers what an AI agent learns about your code. It stores discoveries from codebase analysis in a simple file. This helps you avoid doing the same work twice.
When you need to check if a component already exists or find patterns in your project, the knowledge graph gives you quick answers. It also helps validate that tasks have the right dependencies before you start coding.
Teams can share these discoveries to speed up their work. The knowledge graph makes code exploration faster and more reliable for everyone.
Global
mkdir -p ~/.claude/skills/knowledge-graphProject
mkdir -p .claude/skills/knowledge-graphSource Repository
Compressjuliusbrussee/caveman
Shrink memory files into caveman speak to save tokens and preserve code
Obsidian Baseskepano/obsidian-skills
Build powerful database views inside Obsidian with filters formulas and summaries
Remembergithub/awesome-copilot
Save lessons learned and build a smart knowledge base that grows with you
Remembering Conversationsobra/episodic-memory
Search past conversations to recall decisions, solutions, and avoid repeating mistakes
Claude Md Improveranthropics/claude-plugins-official
Audit your CLAUDE.md files for better AI agent project memory
Dbs Restoredontbesilent2025/dbskill
Continue your diagnosis where you last left off without repeating yourself
Winmd Api Searchgithub/awesome-copilot
Find Windows APIs easily with complete methods, properties, and events
Mem Searchthedotmack/claude-mem
Easily search past work across all sessions then filter before fetching details