GitDiagram
Architecture diagrams, explanations and Mermaid source for public GitHub repositories.
Code graph and project memory for coding agents, cited to exact files and lines, on your machine.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
Download the maker’s .mcpb file
The .mcpb file comes straight from the maker; we do not change it
Use Graphicle and tell me what you can do for me, then show me one thing✓ If Claude says it is using Graphicle or shows a Graphicle tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Graphicle yet
Graphicle runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Graphicle
B · Others in Developer tools that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Claude Code cannot connect Graphicle yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect Graphicle
Cursor cannot connect Graphicle yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect Graphicle
VS Code cannot connect Graphicle yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect Graphicle
mcpb: …/graphicle-0.1.17-aarch64-apple-darwin.mcpbmcpb: …/graphicle-0.1.17-x86_64-apple-darwin.mcpbmcpb: …/graphicle-0.1.17-x86_64-pc-windows-msvc.mcpbBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 15, 2026
The registry name was verified with the GitHub account Graphicle-AI, which owns the repo
Code last changed yesterday
Uses Apache-2.0
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Not checked: only npm and PyPI packages with a version can be checked
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed yesterday, and the latest version (0.1.17) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: GitDiagram, Appllama, Cloudflare MCP, Omnara, Repowise
Same category, other makers, commands already checked. Official ones first, then by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Architecture diagrams, explanations and Mermaid source for public GitHub repositories.
Study screens, flows and paywalls from top-earning iOS apps, then build from what wins.
Cloudflare MCP servers
Deploy durable AI agents with Omnara, an open-source managed-agent platform.
Codebase intelligence for AI coding agents: graph, git history, docs, decisions, code health.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Code graph and memory for your coding agents, in one Rust program.
Graphicle maps your repository into a code graph, remembers your project's docs, decisions and past agent sessions, and gives your coding agent cited excerpts from both: the exact files and lines. It runs on your machine: no API key needed, no account, no telemetry .
Works with Claude Code · Cursor · Codex · VS Code · Claude Desktop · any MCP client
Quick start · How it works · Benchmarks · Memory, compared · Docs · Coming from Graphify? · Discussions
Graphicle 0.1.11 against Graphify 0.9.100, labelled as in the picture; every measurement and its method are in docs/benchmarks.md . The code-graph engine is a Rust port of Graphify, credited below . Graphicle is not affiliated with Graphify Labs.
Built during Meta's Global AI Developer Hackathon (what was built, and when). With a key for the Meta Model API, graphicle see lets Muse Spark reproduce a bug in a web app with computer use, graphicle pixel finds the code that draws what the model points at, and graphicle fix patches it with a model such as Muse Wonder and runs your tests; when a round fails, the next one reads the failing lines and the files they name. The picture is one live run on excalidraw issue #12053, built from source, and the fix passes excalidraw's own regression test (see it, find it, fix it, check it).
In a pre-release comparison with seven memory systems, Graphicle matched the accuracy of Hindsight 0.10.2 and beat that of Mem0 OSS 2.2.1 (the open-source library, not Mem0's hosted platform) on LoCoMo-10, and while ingesting made about 12 model calls per conversation, against about 160 for Hindsight and 332 for Mem0 (estimates per conversation; each system's total is exact). Labels: development sets; one open model (Qwen3.8-27B) as every system's reader, judge and model; a pre-release build of Graphicle.
| System | LoCoMo-10 accuracy, points [95% CI] | Model calls per conversation, ingesting (estimate) | Prompt tokens per conversation, ingesting (estimate) |
|---|---|---|---|
| Graphicle (pre-release build) | 87.7 [85.1, 90.2] | 12 | 43K |
| Hindsight 0.10.2, observations on | 87.3 [85.6, 89.1] | 160 | 1.14M |
| Mem0 OSS 2.2.1 | 81.9 [79.6, 84.4] | 332 | 3.18M |
| MemMachine 0.4.0 | 79.6 [77.3, 82.0] | 23 | 140K |
| Honcho 3.2.2 | 79.2 [76.2, 82.2] | 221 | 1.25M |
| Cognee 1.6.3 | 69.5 [67.3, 71.2] | 206 | 291K |
| Graphiti (graphiti-core 0.30.2) | 46.5 [44.0, 48.9] | 1,363 | 4.52M |
| Mastra Observational Memory 1.36.0 | 38.6 [33.6, 43.1] | 22, and 1 per question | 356K |
On the two other development sets, LME-84 and BEAM-100K, Graphicle trailed none of the systems it was compared with. Every score, with its method and caveats.
Earlier pre-release evaluations also ran three published protocols on GPT models. Under Mem0's own LoCoMo protocol (its prompts, GPT-5 as reader and judge), it scored 93.5%, against 91.6% in Mem0's published result files (paired difference +1.95 points [+0.55, +3.55]). On LongMemEval-S under the same protocol it scored 92.6%, against Mem0's 93.4%. Against Hindsight's published contexts, it tied with a GPT-5.4 reader (LoCoMo 90.4 vs 90.6, LongMemEval-S 94.6 vs 93.4) and with a GPT-4.1-mini reader on LoCoMo (86.4 vs 87.5), and trailed with GPT-4.1-mini on LongMemEval-S (85.8 vs 89.2). Every GPT run, with its labels.
brew install graphicle-ai/tap/graphicle
cd your-repo graphicle setup
No Homebrew? curl -fsSL https://github.com/graphicle-ai/graphicle/releases/latest/download/install.sh | sh · Release archives · Other ways to install
Windows: a preview build for x86-64, not yet code-signed (Windows (preview)).
graphicle setup indexes the repository, builds its code graph and connects the coding agents it finds. It also turns on session capture, adds a two-line section to AGENTS.md (unless Claude Code is the only agent) and installs Git hooks that keep the project current. It lists every file it changes and backs each one up first; graphicle disconnect undoes it all.
Then ask your agent to *"use graphicle to find where failed requests are retried"*, or ask from the terminal:
$ graphicle ask "where is tax added to prices?"
Evidence for "where is tax added to prices?" 4 excerpts · 606 of 3,000 tokens
[1] shop/pricing.py:1-7 price_with_tax() """Prices and tax.""" TAX_RATE = 0.2
def price_with_tax(price): """A price with the sales tax added.""" return round(price * (1 + TAX_RATE), 2)
Real output, cut after the first excerpt. With no model configured, ask shows the evidence; graphicle config set model anthropic (or openai , ollama ) adds written answers.
Let your coding agent install it
Paste this into Claude Code, Codex or Cursor:
Install Graphicle with `brew install graphicle-ai/tap/graphicle` (or, without Homebrew,
curl -fsSL https://github.com/graphicle-ai/graphicle/releases/latest/download/install.sh | sh), then run graphicle setup --yes in this repository and list every file it changed.
</details>
| You want to | Run |
|---|---|
| Give your coding agent the code graph and your project's memory | graphicle setup in the repository |
| Ask a question from the terminal | graphicle ask "how are failed requests retried?" |
| Browse the graph, the sources and the memory | graphicle open |
| See what a change to a symbol touches | graphicle graph extract . --code-only, then graphicle graph affected "retry()" |
| Check that everything works | graphicle doctor |
| Undo everything setup did | graphicle disconnect |
| Move from Graphify, or run a server for a team | Moving from Graphify · Team server |