# appgraph

> appgraph — appgraph-appgraph. Use this tool when you need to model and deploy complex web applications as interconnected graphs of agentic nodes, leveraging generative AI to automate workloads without requiring manual coding. AppGraph solves problems of scalability, maintainability, and code complexity by encapsulating behaviors into reusable nodes. It takes in high-level application designs and outputs fully functional web applications, ideal for use cases where rapid development and deployment are crucial.

Canonical page: https://skillsregistry.net/skills/appgraph-appgraph  
JSON: https://api.skillsregistry.net/v1/skills/appgraph-appgraph

## Description

Express your application as a graph of well-specified & controlled behaviors, inputs, outputs, and side effects. An AI of your choice converts the graph into working code, manages changes, and operates the app in production.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/appgraph/appgraph)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "appgraph-appgraph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/appgraph-appgraph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/appgraph-appgraph/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt