Graphify cuts Claude token usage by 70x

Graphify, an open-source AST-driven knowledge-graph generator, reduces Claude token usage by up to 70× per session [DevTo]. It achieves this by parsing an entire codebase with Tree-sitter, supporting 31 languages, and emitting three artifacts: graph.html, GRAPH_REPORT.md, and graph.json [GitHub]. The generated graph tags each relationship as EXTRACTED, INFERRED, or AMBIGUOUS, giving agents explicit provenance. Graphify integrates with Claude, Cursor, Codex, OpenCode, Copilot CLI, Gemini CLI, GitHub Copilot Chat, Aider, and any AI that can read files, allowing agents to query the pre-built graph instead of dumping source files into the prompt. This approach eliminates repeated token consumption for each file read [DevTo]. Graphify requires only Python 3.10+ and the uv package manager for installation. The repository has 53,000+ stars on GitHub, indicating strong community interest [GitHub]. By cutting token consumption by 70×, Graphify can shrink monthly spend to under $1 for the same workload, making high-frequency code-assist feasible for small teams. Large monorepos that previously exceeded token limits can now be indexed once and queried repeatedly, unlocking AI assistance for codebases that were previously out of reach. Graphify's graph-first model turns the cost barrier of token-priced AI services into a negligible line item, potentially accelerating adoption of open-source AI agents [DevTo].