Review across branches.Verify the change.
Graphify reads every open pull request against one graph of your code and docs, flags the ones that collide, and on Graphify Cloud has a solver check changed functions. code-review-graph scores one pull request at a time, in your own CI.
Checked against the code-review-graph README on 14 October 2026.
Four reasons teams pick Graphify.
- 01
Every open branch, read against one graph
graphify prs --conflictslists the open pull requests that reach into the same parts of the graph, with the merge-order risk. On Graphify Cloud that check is waiting on every pull request when it opens, with a merge order.How code-review-graph compares. Each review covers its own pull request. Conflicts across pull requests are not in its README.
- 02
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 code-review-graph compares. It scores risk from the graph and lists test gaps. A solver is not in its README.
- 03
Review with nothing to run
Connect a repository to Graphify Cloud and each pull request is reviewed against the graph when it opens: what the change reaches, which branches collide, the merge order. The merge gate is advisory by default and blocks when you set it.
How code-review-graph compares. A GitHub Action you add to each repository and run on your own runners, with an optional fail-on-risk gate.
- 04
The docs behind the code, in the same graph
Design docs, PDFs, Office files and images are read for concepts and linked to the functions they describe. Audio and video are transcribed on your machine. A reviewer can see the spec a change touches.
How code-review-graph compares. It parses code, notebooks and configuration files. PDFs, Office files and media are not in its README.
Graphify and code-review-graph, row by row.
The open-source graphify CLI against the open-source code-review-graph first. The last three rows are Graphify Cloud.
Pick by how your team merges.
Choose Graphify if
- Several pull requests are open against the same code at once
- You want changed functions checked by a solver before they merge
- You want review waiting on every pull request with nothing to run
- Your reviewers need the docs and specs a change touches
- You want a hosted option with a free plan
Choose code-review-graph if
- Review must run only on your own CI runners
- You want a sticky risk comment with test gaps on each pull request
- You add languages yourself through a TOML file, or review notebooks
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. graphify prs --conflicts then shows which of your open pull requests collide.
For review on every pull request, connect the repository to Graphify Cloud on the free plan. Run it beside the code-review-graph Action for a week and compare what each one catches.
Graphify vs code-review-graph: questions
What people ask when they are choosing a review graph.
When several pull requests are open at once, or a change needs more than a risk score, yes. Graphify reads every open branch against one graph and flags the ones that collide. On Graphify Cloud it suggests a merge order and checks changed functions with a solver. If review must run only on your own CI runners, code-review-graph's GitHub Action is built for that.
The open-source graphify CLI (the graphifyy package, Apache 2.0) against the open-source code-review-graph (MIT), as each README described them on 14 October 2026. The review, cross-branch and verification rows are Graphify Cloud, which has a free plan with no card. code-review-graph has no hosted product.
Graphify's automatic review runs on Graphify Cloud: connect the repository and the review is waiting when each pull request opens. The open-source graphify prs command shows what a pull request reaches and which other pull requests it collides with, from your terminal. If review must stay on your own runners, code-review-graph's Action is the closer fit.
Nobody has run both on the same tasks yet, us included. code-review-graph reports a median 63 times fewer tokens per question than reading the whole corpus, a baseline its README calls an upper bound no real agent pays. Graphify's published code result measures accuracy: on ERPNext, about a million lines, one Graphify tool raised key-fact coverage from 70.8% to 82.0% against grep and file reads, on six graded questions.
Run locally, neither sends your source code anywhere, and neither collects usage data. Graphify parses code on your machine; docs, PDFs and images go to the model you pick for the semantic pass, which can be a local Ollama. code-review-graph's cloud embeddings are opt-in. 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.
code-review-graph rows come from its README at github.com/tirth8205/code-review-graph, read on 14 October 2026. Graphify rows come from the graphify README, its BENCHMARKS.md and pricing. code-review-graph belongs to its authors; Graphify Labs is not affiliated with it. Spotted something out of date? Tell us on GitHub.
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