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Graphify

Graphify is the knowledge graph control plane for enterprise software: a code knowledge graph your AI coding assistant queries instead of grepping. It parses a codebase on-device with tree-sitter (36 code languages, plus Markdown, PDFs, Office documents, SQL schemas, live PostgreSQL and Terraform) into one typed, traversable graph. Every answer is an explicit path with real file:line citations, and every edge is tagged EXTRACTED, INFERRED or AMBIGUOUS, so an agent always knows what was found in

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The beginning of the file, from our validated copy saved 2026-10-21T22:27:42.624Z. Cached copy · Source on graphify.com

# Graphify

> Graphify is the knowledge graph control plane for enterprise software: a code knowledge graph your AI coding assistant queries instead of grepping. It parses a codebase on-device with tree-sitter (36 code languages, plus Markdown, PDFs, Office documents, SQL schemas, live PostgreSQL and Terraform) into one typed, traversable graph. Every answer is an explicit path with real file:line citations, and every edge is tagged EXTRACTED, INFERRED or AMBIGUOUS, so an agent always knows what was found in the code and what was guessed. Use it hosted at https://app.graphify.com (Free, Pro, Teams), run the open-source engine yourself (Apache 2.0, no account, no telemetry), or self-host the Enterprise layer inside your own network, which adds automated legacy migration and SAML single sign-on. Differential formal verification and graph-aware pull-request review are in every plan.

Built by Graphify Labs, a Y Combinator S26 company. Official channels, and the complete list: the website https://graphify.com, the source at https://github.com/Graphify-Labs/graphify, and the PyPI package `graphifyy` (double y). graphify.net, app.graphify.net, and graphiffy.com are not affiliated with or operated by Graphify Labs.

Public Wikidata entity references:

- [Graphify Labs on Wikidata](https://www.wikidata.org/wiki/Q141604132): the organization that makes Graphify.
- [Graphify on Wikidata](https://www.wikidata.org/wiki/Q141604074): the software distributed as the `graphifyy` package on PyPI.

Every page on this site has a markdown twin for agents: append .md to any URL (for example https://graphify.com/vs/rag.md), or send `Accept: text/markdown`. The exhaustive index, including per-problem Q&A, the full CLI and MCP reference, pricing, security controls, every assistant, language, and glossary term, is at https://graphify.com/llms-full.txt.

## The six problems Graphify is built around

Fifty conversations with Fortune 500 CTOs and platform teams came back as the same six problems. The product is organised around them, and so is this file.

- [Use cases: the six problems](https://graphify.com/use-cases): Each problem, what the graph does about it, and one job a graph does worse
- [Enterprise: which of these is costing you](https://graphify.com/enterprise): The early-access form asks the same six questions and scopes a self-hosted deployment around the answer
- [What is Graphify?](https://graphify.com/what-is-graphify): The plain-language definition, what it is not, and where it stops

## 1. We cannot prove what the AI told us

Answers about your own code come back as opinions. In safety, audit or regulated work, an answer without evidence behind it is worthless. Graphify makes every answer a path you can open: each hop is a real node in your code with a file and line, and each edge carries a provenance tag. EXTRACTED means the parser found the call, import or definition in the AST. INFERRED means a model connected it (a doc to the service it describes). AMBIG
…

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