Graphify is an open-source AI that slashes your Claude token spend. Instead of dumping raw files into context, it answers from a compact knowledge graph of your code, docs, papers and diagrams — the same understanding at a fraction of the cost.
Browse source-reviewed product guides and structured comparisons for the tools changing how developers build software.
Compare workflow, agents, pricing, security, and delivery fit across the complete directory.
Browse all tools →Scan aligned decision fields, official evidence, and explicit unknowns before switching your workflow.
Open comparisons →Three stages turn scattered knowledge into a structure your assistant can actually reason over.
Parse code, markdown docs, PDFs, research papers and architecture diagrams into typed entities — functions, concepts, decisions, dependencies.
Entities are linked by calls, imports, references and semantic similarity into a single knowledge graph that stays in sync with your repo.
Any MCP-compatible coding assistant can traverse the graph: "what breaks if I change this?", "where is this concept implemented?"
Compare context options, client support, setup effort and security guardrails for every entry — no marketing pages, only reviewed sources.
Curated, versioned skills built on top of the Graphify core. Install any of them next to the base package.
Semantic jump-to-definition across code, docs and diagrams in one query.
Predict which tests, docs and services a diff touches before you commit.
Bind research papers to the modules that implement them, with citations.
Generate always-current architecture diagrams straight from the graph.
Walk data-flow edges to surface exposure paths and untrusted inputs.
Auto-build guided tours of any subsystem for new teammates.
One install. Every MCP-compatible client. A knowledge graph that grows with every commit.