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Graphify reduces Claude Code's token costs by 60% by parsing codebases locally into a queryable knowledge graph to prevent repetitive context loading.

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Graphify reduces Claude Code's token costs by 60% by parsing codebases locally into a queryable knowledge graph to prevent repetitive context loading.
OPEN LINK ↗
// 1h agoOPENSOURCE RELEASE

Graphify reduces Claude Code's token costs by 60% by parsing codebases locally into a queryable knowledge graph to prevent repetitive context loading.

Graphify is an open-source optimization tool that addresses the high token consumption of AI coding assistants like Claude Code. Instead of repeatedly uploading the entire codebase for context during each prompt, Graphify uses tree-sitter to parse project files locally and generate a structural knowledge graph. Claude Code can then query this graph to understand relationships, dependencies, and key concepts, resulting in a reported 60% reduction in token costs while maintaining deep codebase context.

// ANALYSIS

Local semantic indexing is the only way to make agentic coding tools financially viable, and Graphify's approach highlights a massive efficiency gap in how current AI systems handle context management.

* Local parsing via tree-sitter prevents costly API-based raw code processing.

* Creating a queryable dependency graph replaces slow, linear codebase reading with structured lookup.

* Reduces input token waste, keeping agent sessions cheap and context windows clear.

// TAGS
graphifyclaude-codeai-agentsopen-sourcedeveloper-toolstoken-optimization

DISCOVERED

1h ago

2026-06-22

PUBLISHED

2h ago

2026-06-22

RELEVANCE

8/ 10

AUTHOR

Av1dlive