ISONGraph
Property graphs that fit your LLM's context window
ISONGraph launched on July 28, 2026 with 6 votes, #3,356 of 24,623 launches that month and more than 75% of that year's launches.
What it does
GraphRAG has a hidden tax: serializing your knowledge graph as JSON or RDF wastes ~70% of tokens on syntax. ISONGraph is a property-graph format designed for LLM comprehension - benchmarked against 9 other formats: 92% traversal accuracy, 80% multi-hop reasoning (vs 40-70%), ~70% fewer tokens. Node/edge CRUD, multi-hop traversal, Cypher-like queries, schema validation, optional semantic search. MIT licensed. Python, JS/TS, Rust, Go, C++, C#.
ISONGraph is a multi-language property graph library designed specifically for LLM and AI applications. It provides the most token-efficient way to represent graph data in LLM context windows while maintaining high accuracy for graph-based reasoning tasks. - ISON-format/isongraph
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