Map the whole project.Check every change.
Graphify maps your code, docs, PDFs and Office files into one graph your agents and your team share, and flags pull requests that collide before they merge. CodeGraph is a lean code index for one agent's next question.
Checked against CodeGraph's README on 14 October 2026.
Four reasons teams pick Graphify.
- 01
Your docs sit in the same graph as your code
Design docs, PDFs, Office files, SQL schemas and transcribed recordings become nodes beside the functions they describe. An agent can follow a requirement to the code that implements it, and back.
How CodeGraph compares. It indexes source code in 34 languages. Documents are not in its README.
- 02
A map people can read
graph.htmlopens in any browser.GRAPH_REPORT.mdnames the god nodes, the communities and the surprising connections. The graph exports to Neo4j, FalkorDB, GraphML, Obsidian, SVG and Mermaid.How CodeGraph compares. Its SQLite index is read through MCP and the CLI. No viewer or export format is listed.
- 03
Pull requests that collide, caught before merge
graphify prs --conflictslists the open pull requests that reach into the same parts of the graph, with the merge-order risk.graphify prs 42shows what one pull request reaches.How CodeGraph compares.
codegraph affectedlists the test files one change reaches. Its hosted PR product is on a waitlist. - 04
A solver checks changed functions
On Graphify Cloud, each changed function is checked against the version it replaces. The answer is proven, changed (with the input that shows it and a regression test) or unknown. The free plan includes one run a day.
How CodeGraph compares. Verification is not in its README.
Graphify and CodeGraph, row by row.
The open-source graphify CLI against the open-source CodeGraph first. The last two rows are Graphify Cloud.
Pick by the question you ask most.
Choose Graphify if
- Your agents need the design docs, specs and schemas that explain the code
- Several people or agents open pull requests against the same repository
- You want to read the map yourself, in a browser or a written report
- You want a solver to check changed functions before they merge
- You want no usage data leaving the machine
Choose CodeGraph if
- You want one MCP tool that returns source, call paths and blast radius in one call
- You index code only, for one agent in one repository
- You want routes from Next.js, Angular or Expo Router resolved into the graph
Run both on your own repository.
Install Graphify with uv tool install graphifyy (or pip install graphifyy), run graphify install to register the /graphify skill with the assistants it finds, then type /graphify . in your assistant. Code maps on your machine with no API key.
Both tools are MCP servers, so one assistant can hold both. Ask each the questions your team asks every week, and keep the one that answers them.
Graphify vs CodeGraph: questions
What people ask when they are choosing a code graph.
For a project where the answer sits partly in docs, specs or other open pull requests, yes. Graphify maps all of it into one graph, flags pull requests that collide, and on Graphify Cloud checks changed functions with a solver. For one agent asking about code in one repository, CodeGraph is lean and well measured, and the two are close.
The open-source graphify CLI (the graphifyy package, Apache 2.0) against the open-source CodeGraph (MIT), as each README described them on 14 October 2026. The pull request review and verification rows are Graphify Cloud, which has a free plan with no card. CodeGraph's hosted platform is on a waitlist, so it is left out.
Nobody has run both on the same tasks yet, us included. CodeGraph reports 62% fewer tokens than an agent with no index, across seven repositories. Graphify's published code result measures accuracy: on ERPNext, a repository of about a million lines, one Graphify tool raised an agent's key-fact coverage from 70.8% to 82.0% against grep and file reads, on six graded questions.
Yes. Both register as MCP servers, so one assistant can hold both while you decide. Most teams then make one the default for structural questions, so the agent is not weighing two answers to the same question.
Run locally, neither sends your source code anywhere. Graphify parses code on your machine and collects no usage data. Docs, PDFs and images go to the model you pick for the semantic pass, which can be a local Ollama. CodeGraph runs locally and asks at install whether to share anonymous usage statistics. Graphify Cloud, if you use it, builds the graph on Graphify's servers.
The open-source CLI is free under Apache 2.0 and needs no account. Graphify Cloud has a Free plan with no card: 3 repositories, 15 pull request reviews a month and one verification run a day. Pro and Teams raise those limits.
CodeGraph rows come from its README at github.com/colbymchenry/codegraph, read on 14 October 2026. Graphify rows come from the graphify README, its BENCHMARKS.md and pricing. CodeGraph belongs to its authors; Graphify Labs is not affiliated with it. Spotted something out of date? Tell us on GitHub.
More comparisons: Graphify vs codebase-memory-mcp, Graphify vs code-review-graph, Graphify vs Sourcegraph, all comparisons.