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Plugin

supergraph

datit309236Updated 13d ago

Open on GitHub

Engineering workflow system for AI coding agents — mandatory planning, TDD, verification, review, and intelligent codebase graph analysis.

Practical score

84 / 100

Setup

Ready to use

License

MIT

Language

TypeScript

Install

Quick start

Copy the command, or hand the whole task to your harness agent.

curl -fsSL https://raw.githubusercontent.com/datit309/supergraph/master/install.sh | sh
Install script needs a look
Install with your agent

Please install the DeepSeek Harness plugin "supergraph" for me. - GitHub repository: datit309/supergraph (https://github.com/datit309/supergraph) - Type: a Cordis plugin (installed into a DSH profile) - It should work out of the box with no extra configuration…

From the README

A cleaned excerpt from the project's own documentation.

Supergraph for AI Coding Agents Tiếng Việt · Installation Guide · Workflow Examples · Team Setup Turn AI coding agents from code generators into disciplined engineering workflow systems. Supergraph enforces planning, TDD, verification, review, and architecture-aware decision making through mandatory workflows, graph intelligence, and LSP-powered code analysis across Claude Code, OpenAI Codex CLI, Google Antigravity, OpenCode, and DeepSeek Harness (DSH). --- What Supergraph Does Every non-trivial change follows the strict engineering lifecycle: scan → analyze → plan → TDD → execute → fix → verify → review - Knowledge Graph & Code Intelligence : Powered by Codebase Memory MCP ( = 0.10.8,

Open on GitHub

Project details

by
datit309
License
MIT
stars
23
Forks
6
Updated
Oct 30, 2026
Created
May 8, 2026
Language
TypeScript
Indexed from
topic
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