GraphyLoop

Name: GraphyLoop
Author: chadixearth

by chadixearthversion 0.6.5i★ 3iRuns on your computer

Registry nameio.github.chadixearth/graphyloop

How to install

Overview

Description from the maker (original English)

Workflow planner, wave dispatcher, persistent swarm memory, and deploy preflight for AI agents.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "graphyloop": {
      "command": "npx",
      "args": [
        "-y",
        "graphyloop",
        "mcp"
      ]
    }
  }
}

Done

Quit Claude and open it again
Done
Try it
Use GraphyLoop and tell me what you can do for me, then show me one thing
✓ If Claude says it is using GraphyLoop or shows a GraphyLoop 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 GraphyLoop yet

GraphyLoop runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect GraphyLoop

Steps for Claude →Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →Install Node.js on your computer first (one time)
Steps for Cursor →Install Node.js on your computer first (one time)
Steps for VS Code →Install Node.js on your computer first (one time)

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

AIHOT✓ ChatGPT
Sui Knowledge Base (kapa.ai)✓ ChatGPT
Exa✓ ChatGPT

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done

Paste this command and press Enter

claude mcp add graphyloop -- npx -y graphyloop mcp

Done

Type /mcp in Claude Code
You should see GraphyLoop listed as connected
Done
Try it
Use GraphyLoop and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using GraphyLoop or shows a GraphyLoop 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

Works with Cursor, with some setup first

Install Node.js on your computer first (one time)

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use GraphyLoop and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using GraphyLoop or shows a GraphyLoop tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time)

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use GraphyLoop and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using GraphyLoop or shows a GraphyLoop tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use GraphyLoop💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add graphyloop -- npx -y graphyloop mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "graphyloop": {
      "command": "npx",
      "args": [
        "-y",
        "graphyloop",
        "mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "graphyloop": {
      "command": "npx",
      "args": [
        "-y",
        "graphyloop",
        "mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "graphyloop": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "graphyloop",
        "mcp"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 3
Downloads per weeki: 500/wk
Licence i: No licence stated
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.6.5
Categoryi: Search & AI memory
Published to registryi: Nov 2, 2026
Code last changedi: Nov 2, 2026
Maker: chadixearth
Packages: npm: graphyloop
Repo: chadixearth/graphyloop
Website: chadixearth.github.io
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 11, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account chadixearth, which owns the repo
✓ Pass
Still maintained
Code last changed 9 days ago
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Search & AI memoryi

More stars than 85% of the other 5907 servers in this category
Published to the registry more recently than 80% of the other 5907 servers in this category
Basic checks equal to or better than 100% of the other 5907 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is GraphyLoop safe?

It passed 2 of 2 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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed 9 days ago, and the latest version (0.6.5) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Ruflo, Context7, Metabase

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

by ruvnetWidely used↓ 74.3K/wk★ 81.4KUpdated yesterday

Runs on your computer

Install

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.6KUpdated 2 days ago

Computer or cloud

Install

Metabase

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

by metabaseWidely used★ 50.3KUpdated 6 months ago

Runs in the cloud

Install

README from the maker

Open the README

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.

GraphyLoop

GraphyLoop is a one-command agentic workflow kit for AI coding agents: it wires Claude Code, OpenCode, Codex, Cursor, Gemini CLI, Oh My Pi and DeepSeek Harness with Workflow v3 (inline-first, one parallel wave, proof before done), a 25-agent squad, persistent memory, Agent Skills and an MCP server. It also ships as a Claude Code plugin and an MCP Registry server. Zero dependencies.

Landing page · npm · Harness guide · Reference · llms.txt

Quick Start

Pick one of three install channels:

1. `npx` installer (all 7 harnesses)

npx graphyloop        # a bare command installs — it wires every harness it detects

restart your harness, open a real project, then ask your agent:

/chadi-init

Requires Node.js ≥ 20. On a fresh machine with no harness yet, GraphyLoop wires all seven so you are ready whichever one you open first. Target specific ones with --harness claude,omp. Nothing is written into your workspace — everything lives in your home config (~/.graphyloop/ plus each harness's own directory).

2. Claude Code plugin marketplace

Inside Claude Code:

/plugin marketplace add chadixearth/graphyloop

/plugin install graphyloop@graphyloop

then start the workflow with:

/graphyloop:chadi-init

The marketplace manifest is .claude-plugin/marketplace.json and the plugin lives at integrations/claude-code/ (15 /graphyloop:chadi-* commands, 26 agents, 3 core skills, and the graphyloop MCP server). Use the plugin OR `npx graphyloop --harness claude` for Claude Code, not both (installing both registers duplicate tools and agents).

3. MCP Registry

Server name: `io.github.chadixearth/graphyloop` (server.json). Any MCP client that resolves from the official MCP Registry runs the graphyloop npm package over stdio via:

npx -y graphyloop mcp

Supported harnesses

Harness	`--harness`	Detected when	How GraphyLoop wires it	Start the workflow
OpenCode	`opencode`	`~/.config/opencode/`	plugin (`graphyloop_` tools) + 26 agents + 15 `/chadi-` commands + AGENTS.md	`/chadi-init`
Claude Code	`claude`	`~/.claude/` or `~/.claude.json`	MCP server + 26 agents + 15 commands + `~/.claude/rules/graphyloop-workflow.md` (or install the Claude Code plugin instead)	`/chadi-init` (plugin: `/graphyloop:chadi-init`)
Codex	`codex`	`~/.codex/`	MCP server + 15 prompts + bundled skills in `~/.agents/skills/` + AGENTS.md	`/prompts:chadi-init`
Cursor / Windsurf	`cursor`	`~/.cursor/`	MCP server + bundled skills in `~/.agents/skills/` (workflow loads from `graphyloop-workflow` skill; project init writes `/AGENTS.md`)	ask: "run the graphyloop workflow init"
DeepSeek Harness	`dsh`	`~/.dsh/` or `$DSH_HOME`	MCP server + 26 role prompts + `graphyloop-squad` skill + AGENTS.md	load the `graphyloop-squad` skill
Oh My Pi	`omp`	`~/.omp/`	MCP server in `~/.omp/agent/mcp.json` + 26 squad agents + skills; AGENTS.md only if you have none	ask: "run the graphyloop workflow init"
Gemini CLI	`gemini`	`~/.gemini/`	MCP server in `~/.gemini/settings.json` + `/chadi-*` TOML commands + bundled skills in `~/.gemini/skills/`; GEMINI.md only if you have none	`/chadi-init`

Per-harness file locations, verification, dsh notes, and the Gemini CLI sign-in change (personal Google sign-ins stopped working on June 18, 2026; an API key still works): docs/harnesses.md.

Setup with any AI assistant (copy-paste)

Paste the block below into your AI harness — it installs, verifies (GRAPH_LOOP_DOCTOR_OK), and reports on its own. Raw copy: docs/SETUP-PROMPT.md.

You are setting up GraphyLoop (github.com/chadixearth/graphyloop, npm package `graphyloop`) — a one-command agentic workflow kit for AI coding agents: a 25-agent squad, parallel wave planning, persistent memory, a harness-neutral workflow and an MCP server that works in any harness. Zero dependencies.

Goal: install it for THIS machine's harness(es), verify the install actually works, and report. Do NOT edit any config file by hand — run only the installer. Do NOT run npm publish, npm login, or anything unrelated.

Steps:

Prerequisites:

Run node --version — must be 20 or newer. If older, tell the user to install Node.js 20+ and stop there.
Detect which harnesses exist on this machine (check for any of): ~/.config/opencode/ (OpenCode), ~/.claude.json or ~/.claude/ (Claude Code), ~/.codex/ (Codex), ~/.cursor/ (Cursor / Windsurf), ~/.dsh/ or $DSH_HOME (DeepSeek Harness / dsh), ~/.omp/ (Oh My Pi / omp), ~/.gemini/ (Gemini CLI). On Windows, ~ = %USERPROFILE%.

Install:

Run: npx --yes graphyloop (a bare graphyloop is the install command: it wires every detected harness, or all 7 on a fresh machine.)
To target specific harnesses: npx --yes graphyloop --harness claude,omp (names: opencode, claude, codex, cursor, dsh, omp, gemini)
Optional Claude Code plugin path (use the plugin OR npx graphyloop --harness claude, not both): inside Claude Code run /plugin marketplace add chadixearth/graphyloop then /plugin install graphyloop@graphyloop.
If npx asks "Ok to proceed?", answer yes. If npx is missing, stop and tell the user to install Node.js 20+ (npx ships with npm).

Verify — every applicable check must pass:

npx --yes graphyloop doctor prints one row per harness (present / wired) and its LAST line must be GRAPH_LOOP_DOCTOR_OK. If it prints GRAPH_LOOP_DOCTOR_ISSUES , run the fix: command it shows for each unwired row, then run doctor again.
Core engine files exist: ~/.graphyloop/graphyloop/cli.mjs , ~/.graphyloop/mcp-server.mjs , ~/.graphyloop/lib/mcp.mjs , ~/.graphyloop/lib/engine.mjs .
OpenCode (if present): ~/.config/opencode/opencode.json contains plugin entries "./plugins/graphyloop/plugin.js" and "./plugins/server-guard/plugin.js", and ~/.config/opencode/agents/ contains 26 .md files.
Claude Code (if present): ~/.claude.json has an mcpServers.graphyloop entry, ~/.claude/rules/graphyloop-workflow.md exists, and ~/.claude/agents/ is populated (unless using the Claude Code plugin instead).
Codex (if present): ~/.codex/config.toml contains a [mcp_servers.graphyloop] section, and ~/.agents/skills/graphyloop-workflow/SKILL.md exists.
Cursor (if present): ~/.cursor/mcp.json has a "graphyloop" entry, and ~/.agents/skills/graphyloop-workflow/SKILL.md exists (Cursor uses no home rules file; the workflow loads from ~/.agents/skills/graphyloop-workflow).
DeepSeek Harness (if present): ~/.dsh/cordis.patch.yml contains a row id: graphyloop-mcp naming '@deepseek-ai/dsh-mcp-client', ~/.dsh/AGENTS.md exists, and ~/.dsh/skills/ holds graphyloop-squad. Optional deeper check: dsh --profile headless --dump-config prints that row. In dsh the tools are namespaced — call them as mcpgraphyloop (e.g. mcpgraphyloopswarm_state).
Oh My Pi (if present): ~/.omp/agent/mcp.json has mcpServers.graphyloop, and ~/.omp/agent/agents/ holds the squad .md files. An existing ~/.omp/agent/AGENTS.md is intentionally kept — the workflow then loads from the bundled skill graphyloop-workflow.
Gemini CLI (if present): ~/.gemini/settings.json has mcpServers.graphyloop, ~/.gemini/commands/chadi-init.toml exists, and graphyloop-workflow/SKILL.md exists in ~/.gemini/skills/ (or ~/.agents/skills/ when Codex/Cursor is also installed). An existing ~/.gemini/GEMINI.md is intentionally kept.
If any check fails: re-run the install with --force (automatic backups) and re-verify. Still failing? Report the exact error and stop.

Wrap up: tell the user to RESTART their harness (close/reopen the terminal or editor), open a real project (not their home directory), and start the workflow: ask for /chadi-init (OpenCode, Claude Code, Gemini CLI — or /graphyloop:chadi-init with the Claude Code plugin), /prompts:chadi-init (Codex), or "run the graphyloop workflow init" (Oh My Pi, Cursor, Windsurf). In the DeepSeek Harness there are no slash commands: ask the agent to load the graphyloop-squad skill instead. Give a one-line summary of what was installed.

Do not ask permission for reversible steps — proceed. Stop only for: Node < 20, an install failure, or a prompt you cannot answer.

How the workflow works

Workflow v3 is harness-neutral: the same 12 rules run in OpenCode, Claude Code, Codex, Cursor, Windsurf, DeepSeek Harness, Oh My Pi and Gemini CLI.

flowchart LR

A[Recall memory_search] --> G0[Goal + proof state what & check] G0 --> B{Size the work} B -- "inline ≤ 8 known files" --> I[Inline edit any mix of layers] B -- "2+ independent slices (~5+ min each)" --> C[ctx pack + contract ctx-slug.md + contract-slug.md] C --> D[One wave 1–3 lanes, driver keeps a slice] D --> E[Proof, not claims run it, real browser / URL] I --> E E --> F[Report Changed / Files / Verified / Skills / Blocked] F --> G[Record memory_store + why & commit/PR]

Recall first, record last — memory_search before planning; memory_store one dense line after, including the *why* and the commit/PR it landed in.
Goal + proof up front — state the end state, the measurable check that proves it, and the invariant it must not break ("prompt the what, not the how"; never weaken a test to make it pass).
Inline first (measured) — up to 8 known files in any mix of layers, when the code is known or mappable in one batched read pass; a dispatch costs the driver minutes of waiting while an inline edit costs seconds.
Fan out only for 2+ independent slices of about 5+ minutes each — 1–3 lanes (max 4), strictly disjoint files; the driver keeps the largest or most coupled slice and builds it while lanes run.
Context pack before dispatch — write ctx- .md (path:line, current code, pattern to copy) so lanes start editing instead of rediscovering.
Freeze the contract — contract- .md is the only cross-lane dependency.
Turn economy — batch reads, first edit by turn 5, done in about 20 turns (40+ = mis-sized).
Isolate what collides — a lane that runs servers, databases or browsers gets its own wor

Only the beginning is shown; read the rest in the repo

GraphyLoop

Overview

What you can do with it

Install

Install Node.js

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install Node.js

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install Node.js

Click this button to open Cursor

Open the AI chat in Cursor in Agent mode

Try it

Install Node.js

Click this button to open VS Code

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Search & AI memoryi

Common questions

Alternatives

Ruflo

Context7

Metabase

README from the maker

GraphyLoop

Quick Start

1. npx installer (all 7 harnesses)

restart your harness, open a real project, then ask your agent:

2. Claude Code plugin marketplace

then start the workflow with:

3. MCP Registry

Supported harnesses

Setup with any AI assistant (copy-paste)

How the workflow works

1. `npx` installer (all 7 harnesses)