Jun 21, 2026 · Shingo Nakamura · AI
Graphify is a Claude Code skill that compiles code, docs, papers and images into a queryable knowledge graph — so an agent answers from a tiny subgraph instead of re-reading raw files. How it works, how it saves tokens, the real benchmarks, and how it compares to vector RAG and the LLM Wiki.
graphifyknowledge-graphtokensclaude-code
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Jun 20, 2026 · Shingo Nakamura · AI , Python
A practical look at LangChain — what it's for, how to install and use it, what you can build, whether you need to deploy it, how it stacks up against Google ADK and other agent frameworks, and its real downsides.
langchainagentsllmrag
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May 15, 2026 · Shingo Nakamura · AI
Andrej Karpathy's LLM Wiki pattern — let an LLM build and maintain a persistent, interlinked wiki from your sources, so knowledge compounds instead of being re-derived on every query. What it is, how it works, how it compares to RAG, and the token economics.
llm-wikiragknowledge-managementagents
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