> Graphify: shared context of codebase for agents and developers. Canonical: https://graphify.com/ · Full index: https://graphify.com/llms-full.txt

Backed byYCombinator

# Shared context of codebase for agents and developersShared context of codebase for agents and devs

[Try for free](https://graphify.com/signup)[Request a demo](https://graphify.com/enterprise)

Free plan, no card · run the open-source engine yourself

Copy setup prompt

Works with

[+17 more](https://docs.graphify.com/integrations/cloud)

GitHub stars

147,266

PyPI downloads

10.7M

Repositories indexed

15.2M

How it works

## One map of the code

One graph across every repository and team, built once and kept current. Nobody re-learns the codebase by hand, and what one engagement learns carries into the next.

## Answers with proof

Every answer is a path through the graph you can open, spanning code, docs, wikis and contracts. Evidence rather than opinion, for audited and regulated work.

## See what breaks

Before the merge, the graph follows every edge to what a change breaks. The agent reads the graph instead of the repo, so the token bill buys answers.

[Read the docs](https://docs.graphify.com)

Used by engineers at

Shopify

Datadog

Vanguard

Microsoft

Rootly

J.P. Morgan

American Express

Harvey

Automation Anywhere

Alpha Governance

Features

## Understand your code. Know where to look next.

Build with code context, inspect reviews and supported verification, and recover shared repository knowledge.

### Interactive graph

Dots represent parts of your code; lines show recorded connections. Select a function to see what uses it and open its source.

### Fully on-device

Run the open-source engine and parsing stays on your machine: 33 tree-sitter grammars, no uploads, no telemetry.

### Query, don’t grep

Give your assistant source-linked code context. In Cloud, add shared Memory with inspectable sources and history.

### 20+ assistants

Your assistant queries the graph over MCP, in Claude Code, Cursor, Copilot, and 14 more.

### Cross-repo graph

One persistent graph across every repo, so answers follow owners across services.

### PR review

graphify prs triages CI, review, and merge-conflict risk, learning from each merge.

### Formal verification

Compare supported behavior changes and inspect the evidence. Coverage depends on the workflow and language.

Side by side

## Graph, chunks or grep.

Four tools an enterprise shortlists, as each vendor documents them in October 2026.

[See full comparison](https://graphify.com/vs)

Graphify

CodeRabbitGreptileSourcegraph

| Capability | Graphify | CodeRabbit | Greptile | Sourcegraph |
| --- | --- | --- | --- | --- |
| Differential verification | prove it or break it | no formal verification | review and runtime tests | search and batch changes |
| Cross-repo blast radius | every connected repo | linked repos, per PR | up to 7 linked repos | refs, no verdict |
| Typed code graph | persistent, queryable | per change (Codegraph) | stored, used in reviews | cross-repo (SCIP, opt-in) |
| Multi-hop reasoning | native traversal | agentic, in reviews and chat | agentic hops | agentic retrieval |
| Auditable answer | a path you can open | comments with evidence | findings, confidence scores | answers list sources |
| Provenance | every edge tagged | Blast Radius only (beta) | not documented | search and file sources |
| Deployment | cloud · self-run open source | self-host, 500+ seats | self-host / air-gap | cloud or self-host |
| Any AI assistant | any MCP client | CLI and plugins, MCP client | MCP server + CLI | MCP server (Enterprise) |
| License | open core (Apache 2.0) | proprietary | proprietary | proprietary |

Try it on your own repo

$uv tool install graphifyy

[Try for free](https://graphify.com/signup)[Request a demo](https://graphify.com/enterprise)

Trust

## Run it on your machine, or let us run it.

The open-source tool never sends your code anywhere. The hosted product is a choice, not the only way in.

[How we think about security](https://graphify.com/security)

- ### On-device
  
  The command-line tool parses locally with 33 tree-sitter grammars and writes the graph to a file on your own disk.
- ### No telemetry
  
  The tool sends no usage pings, no crash reports and no analytics. Nothing to opt out of, because nothing is sent.
- ### [Apache 2.0](https://github.com/Graphify-Labs/graphify)
  
  The whole source is Apache 2.0 on GitHub. You need not trust this page; read what the code does.
- ### Yours to host
  
  Serve the graph over stdio or over HTTP on infrastructure you own, and on Enterprise run the whole thing there.

[SOC 2 Type IIAudit in progress](https://trust.graphify.com)

Proof

- [79× fewer tokensAfter a weekend of using it on MemMachine, I’m not going back. We’re seeing 79x token reductions, and zero vector database needed.Steve Scargall, MemVergeSenior Product Manager & Software Architect](https://stevescargall.com/blog/2026/05/graphify--memmachine-79-token-reduction-zero-vector-database/)
- [Less re-readingInstead of Claude Code re-reading every file, it queries the graph — which is persistent across sessions and costs a fraction of the tokens.lucasrosatiSetup guide for Claude Code, Obsidian and Graphify](https://github.com/lucasrosati/claude-code-memory-setup)
- [Rootly integrationThe data already lives in Rootly. The graph makes the structure visible.Sylvain Kalache, RootlyHead of AI Labs · on Rootly’s own Graphify plugin](https://rootly.com/blog/turning-your-incident-data-into-a-knowledge-graph)
- [Fewer blind searchesInstead of Claude blindly searching through files, Graphify helps it understand relationships, dependencies and affected areas first. Less blind searching. Better context. Smarter implementation.Audran Yematha@WolfhardsA](https://x.com/WolfhardsA/status/2090546467794825361)
- [A second brain for codeIt takes the best of the wiki index and graphs, but helps you more with code without leaving any document or md file behind — it eats everything and still works like a 2nd brain.TheSaid@sineidesis](https://x.com/sineidesis/status/2090886662830051564)
- [79× fewer tokensAfter a weekend of using it on MemMachine, I’m not going back. We’re seeing 79x token reductions, and zero vector database needed.Steve Scargall, MemVergeSenior Product Manager & Software Architect](https://stevescargall.com/blog/2026/05/graphify--memmachine-79-token-reduction-zero-vector-database/)
- [Less re-readingInstead of Claude Code re-reading every file, it queries the graph — which is persistent across sessions and costs a fraction of the tokens.lucasrosatiSetup guide for Claude Code, Obsidian and Graphify](https://github.com/lucasrosati/claude-code-memory-setup)
- [Rootly integrationThe data already lives in Rootly. The graph makes the structure visible.Sylvain Kalache, RootlyHead of AI Labs · on Rootly’s own Graphify plugin](https://rootly.com/blog/turning-your-incident-data-into-a-knowledge-graph)
- [Fewer blind searchesInstead of Claude blindly searching through files, Graphify helps it understand relationships, dependencies and affected areas first. Less blind searching. Better context. Smarter implementation.Audran Yematha@WolfhardsA](https://x.com/WolfhardsA/status/2090546467794825361)
- [A second brain for codeIt takes the best of the wiki index and graphs, but helps you more with code without leaving any document or md file behind — it eats everything and still works like a 2nd brain.TheSaid@sineidesis](https://x.com/sineidesis/status/2090886662830051564)

From the blog

## Latest posts

Graphify is now an official Claude connector

[Product](https://graphify.com/blog/categories/product)Nov 11, 20262 min read

### [Graphify is now an official Claude connector](https://graphify.com/blog/graphify-is-now-an-official-claude-connector)

Graphify is now an official Claude connector. Connect your repositories and ask Claude who calls a function and what a change reaches.

By Syed Fahad

- [Concepts](https://graphify.com/blog/categories/concepts)Nov 13, 202613 min read
  
  ### [Self-driving codebases: a map, agent memory and no code rot](https://graphify.com/blog/self-driving-codebases)
  
  Self-driving codebases need code agents can see, agent memory that survives context rot, and a fix for code rot. Here's how Graphify builds all three.
- [Concepts](https://graphify.com/blog/categories/concepts)Nov 12, 202610 min read
  
  ### [Why Are You Shipping So Much?](https://graphify.com/blog/why-are-you-shipping-so-much)
  
  Agents made shipping cheap. That's why asking what it's for matters more.
- [Guides](https://graphify.com/blog/categories/guides)Nov 11, 20266 min read
  
  ### [Graphify with Claude: connector and Claude Code setup](https://graphify.com/blog/graphify-with-claude)
  
  Use Graphify with Claude: connect from Anthropic's Connectors directory or add the MCP server to Claude Code, sign in with OAuth, and ask about your code.

[View all posts](https://graphify.com/blog)

FAQ

## Frequently Asked Questions

Common questions about how Graphify works.

- How is Graphify different from RAG or vector search?
  
  RAG splits your code into chunks, embeds them, and retrieves the top-k that look similar to your question. Graphify builds a real graph and traverses it, so every answer is an explicit path with file:line citations. There are no embeddings and no vector store. You follow the actual call and import edges instead of guessing which chunks are relevant.
- Does my code leave my machine?
  
  That is your choice. The open-source engine parses code locally with tree-sitter, which is deterministic AST extraction with no model call and no telemetry, so nothing leaves your machine unless you point the non-code pass at a hosted model. The hosted product builds and keeps the same graph for you in the cloud, on the repositories you connect.
- Is Graphify free?
  
  Yes. The hosted product at app.graphify.com has a Free plan with no card, and Pro and Teams by seat above it (those need a card). The open-source engine is free under Apache 2.0, runs on your own machine, and needs no account. Graph-aware review and formal verification are in every hosted plan, Free included. The early-access Enterprise layer adds self-hosting, SAML single sign-on and legacy migration.
- What do I pay for if the open-source engine is free?
  
  A review on every pull request and a graph that stays current without you maintaining it. The CLI builds the same kind of graph on your machine, but you keep it fresh yourself and it has no automatic reviews. On Pro, Graphify re-indexes your default branch on every push, reviews each pull request against the graph, runs formal verification on changed functions, and serves the graph to your assistants over the hosted MCP server. On Teams, everyone shares that one graph. Start on the Free plan with no card, or try Pro free for two weeks.
- Which AI coding assistants does it work with?
  
  17, including Claude Code, Cursor, Copilot, Codex, Gemini CLI and Aider. Run graphify install --platform <name> for each assistant you use; bare graphify install sets up Claude Code. The graph is also served over an MCP server any client can query.
- My editor already has “go to definition.” Why do I need a graph?
  
  LSP answers one hop: where a symbol is defined, where it is referenced. A graph answers questions that span the codebase, such as what breaks if you change this, every path between two functions, and how a doc or config connects to the code. It is persistent, queryable by your assistant, and every edge carries a provenance tag.
- How is it different from Sourcegraph or ctags?
  
  ctags builds a flat symbol index for jump-to-definition. Sourcegraph is enterprise code search, run in its cloud or self-hosted. Graphify builds a typed graph your assistant traverses over CLI or MCP. It is not a symbol table and not a search box.
- Does the graph stay current as I change code?
  
  Yes, incrementally. A code change re-parses only the changed file through the local AST pass, with no re-embedding and no full re-index. Install the git hook and the graph rebuilds on every commit.
- Can I run it fully offline?
  
  Yes. Code parsing is always local. Point the semantic pass at a local model such as Ollama, or any OpenAI-compatible server like vLLM, and nothing leaves the machine: tree-sitter on code, your local model on docs.
- Does it use embeddings at all?
  
  It can store embeddings as one signal on a node, but retrieval is a graph traversal rather than a similarity search. Results come back connected and explainable instead of as a ranked list of lookalike chunks.

## Try Graphify now.

[Try for free](https://graphify.com/signup)

[Graphify](https://graphify.com/)

Shared context of codebase for agents and developers. Hosted, or open source on your own machine.

[SOC 2 Type IIAudit in progress](https://trust.graphify.com)

Ask AI about Graphify

- [ChatGPT](https://chatgpt.com/?q=Read%20https%3A%2F%2Fgraphify.com%2Fllms-full.txt%20and%20answer%20from%20it%20(fetch%20the%20page%20if%20you%20can%3B%20every%20page%20also%20has%20a%20.md%20version).%20Answer%20about%20Graphify%20by%20Graphify%20Labs%20at%20graphify.com%20specifically%2C%20not%20other%20tools%20with%20similar%20names.%0A%0AHow%20does%20Graphify%20give%20agents%20and%20developers%20a%20shared%20understanding%20of%20the%20codebase%2C%20turning%20huge%20monorepos%20and%20scattered%20business%20context%20into%20deep%2C%20shared%20knowledge%20that%20helps%20teams%20make%20safer%20changes%2C%20use%20AI%20efficiently%2C%20and%20avoid%20constantly%20relearning%20the%20codebase%3F%0A%0AAnswer%20in%20under%20150%20words%20and%20cite%20the%20source.%20If%20you%20cannot%20access%20it%2C%20say%20so.)
- [Claude](https://claude.ai/new?q=Read%20https%3A%2F%2Fgraphify.com%2Fllms-full.txt%20and%20answer%20from%20it%20(fetch%20the%20page%20if%20you%20can%3B%20every%20page%20also%20has%20a%20.md%20version).%20Answer%20about%20Graphify%20by%20Graphify%20Labs%20at%20graphify.com%20specifically%2C%20not%20other%20tools%20with%20similar%20names.%0A%0AHow%20does%20Graphify%20give%20agents%20and%20developers%20a%20shared%20understanding%20of%20the%20codebase%2C%20turning%20huge%20monorepos%20and%20scattered%20business%20context%20into%20deep%2C%20shared%20knowledge%20that%20helps%20teams%20make%20safer%20changes%2C%20use%20AI%20efficiently%2C%20and%20avoid%20constantly%20relearning%20the%20codebase%3F%0A%0AAnswer%20in%20under%20150%20words%20and%20cite%20the%20source.%20If%20you%20cannot%20access%20it%2C%20say%20so.)
- [Perplexity](https://www.perplexity.ai/search?q=Read%20https%3A%2F%2Fgraphify.com%2Fllms-full.txt%20and%20answer%20from%20it%20(fetch%20the%20page%20if%20you%20can%3B%20every%20page%20also%20has%20a%20.md%20version).%20Answer%20about%20Graphify%20by%20Graphify%20Labs%20at%20graphify.com%20specifically%2C%20not%20other%20tools%20with%20similar%20names.%0A%0AHow%20does%20Graphify%20give%20agents%20and%20developers%20a%20shared%20understanding%20of%20the%20codebase%2C%20turning%20huge%20monorepos%20and%20scattered%20business%20context%20into%20deep%2C%20shared%20knowledge%20that%20helps%20teams%20make%20safer%20changes%2C%20use%20AI%20efficiently%2C%20and%20avoid%20constantly%20relearning%20the%20codebase%3F%0A%0AAnswer%20in%20under%20150%20words%20and%20cite%20the%20source.%20If%20you%20cannot%20access%20it%2C%20say%20so.)
- [Google AI](https://www.google.com/search?udm=50&q=Read%20https%3A%2F%2Fgraphify.com%2Fllms-full.txt%20and%20answer%20from%20it%20(fetch%20the%20page%20if%20you%20can%3B%20every%20page%20also%20has%20a%20.md%20version).%20Answer%20about%20Graphify%20by%20Graphify%20Labs%20at%20graphify.com%20specifically%2C%20not%20other%20tools%20with%20similar%20names.%0A%0AHow%20does%20Graphify%20give%20agents%20and%20developers%20a%20shared%20understanding%20of%20the%20codebase%2C%20turning%20huge%20monorepos%20and%20scattered%20business%20context%20into%20deep%2C%20shared%20knowledge%20that%20helps%20teams%20make%20safer%20changes%2C%20use%20AI%20efficiently%2C%20and%20avoid%20constantly%20relearning%20the%20codebase%3F%0A%0AAnswer%20in%20under%20150%20words%20and%20cite%20the%20source.%20If%20you%20cannot%20access%20it%2C%20say%20so.)
- [Grok](https://grok.com/?q=Read%20https%3A%2F%2Fgraphify.com%2Fllms-full.txt%20and%20answer%20from%20it%20(fetch%20the%20page%20if%20you%20can%3B%20every%20page%20also%20has%20a%20.md%20version).%20Answer%20about%20Graphify%20by%20Graphify%20Labs%20at%20graphify.com%20specifically%2C%20not%20other%20tools%20with%20similar%20names.%0A%0AHow%20does%20Graphify%20give%20agents%20and%20developers%20a%20shared%20understanding%20of%20the%20codebase%2C%20turning%20huge%20monorepos%20and%20scattered%20business%20context%20into%20deep%2C%20shared%20knowledge%20that%20helps%20teams%20make%20safer%20changes%2C%20use%20AI%20efficiently%2C%20and%20avoid%20constantly%20relearning%20the%20codebase%3F%0A%0AAnswer%20in%20under%20150%20words%20and%20cite%20the%20source.%20If%20you%20cannot%20access%20it%2C%20say%20so.)
- [DeepSeek](https://chat.deepseek.com/?q=Read%20https%3A%2F%2Fgraphify.com%2Fllms-full.txt%20and%20answer%20from%20it%20(fetch%20the%20page%20if%20you%20can%3B%20every%20page%20also%20has%20a%20.md%20version).%20Answer%20about%20Graphify%20by%20Graphify%20Labs%20at%20graphify.com%20specifically%2C%20not%20other%20tools%20with%20similar%20names.%0A%0AHow%20does%20Graphify%20give%20agents%20and%20developers%20a%20shared%20understanding%20of%20the%20codebase%2C%20turning%20huge%20monorepos%20and%20scattered%20business%20context%20into%20deep%2C%20shared%20knowledge%20that%20helps%20teams%20make%20safer%20changes%2C%20use%20AI%20efficiently%2C%20and%20avoid%20constantly%20relearning%20the%20codebase%3F%0A%0AAnswer%20in%20under%20150%20words%20and%20cite%20the%20source.%20If%20you%20cannot%20access%20it%2C%20say%20so.)

© 2026 Graphify Labs. All rights reserved.

Hosted or on-device · Apache 2.0
