graphsift is an open-source CLI tool designed to optimize token usage for large language models. It features AST-based dependency graphs, multi-language support, context selection, and output compression, helping AI developers reduce costs and improve efficiency.
graphsift sits in PulseGate's Other AI category. It focuses on reducing LLM token usage and optimizing context selection for efficient AI application development. graphsift is an open-source project aimed at ai developers. The project is open source (MIT). It runs on the web and the command line.
It is developed by maheshmakvana, and the product first shipped in 2026. The project is developed in the open on GitHub with 27 commits in the last 90 days. Among its 9 catalogued features are token optimization, AST dependency graph, and context selection. It exposes integrations via an MCP server.
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