u/Famous_Move_3591

Looking for contributors, reviewers and testers.

I got tired of babysitting coding agents on big features, so I built this project, its a fork / cloud version from the Aperant (former auto claude) project with some power-ups.

v2.2.0 just released
Run it on a Linux OS, Ubuntu on VPS, Container or Bare metal.

About: MagesticAI is a web-based AI task management and autonomous agent orchestration platform that builds software through coordinated AI agent sessions. It uses primarily the Claude Agent SDK to run agents in isolated workspaces with security controls, coordinating multiple AI agents through a structured pipeline to build software autonomously with human oversight.

The core pipeline consists of four specialized agents: the Planner Agent creates implementation plans with subtasks, the Coder Agent implements individual subtasks (and can spawn subagents for parallel work), the QA Reviewer validates acceptance criteria, and the QA Fixer resolves issues in a feedback loop. Each agent operates with role-specific tool permissions and security controls.

Repo: https://github.com/dataseeek/MagesticAI

I got tired of watching LLMs "vibe-code" with no spec and no way to tell if the result actually matched what I wanted. I´ve wasted so much time reading and answering follow-ups questions, so I invested the last few months flipping the order: spec first, autonomous coding second.

That's MagesticAI: a self-hosted web platform where you describe what you want, the system turns it into a structured spec + technical plan, and then coordinated agents build it in isolated git worktrees.

The flow:

- Define project principles + rules

- Generate the spec (the "what" and the "why")

- Generate the technical plan

- Break into subtasks

- Implement with agents (in isolated worktrees so failures don't trash your repo)

- QA agent validates against the original spec

Stuff I think is interesting:

- Multi-LLM: Claude, Codex (GPT), Gemini, Ollama. Pick per phase.

- Ollama agentic mode with native tool calling (Read, Write, Edit, Bash, Glob, Grep)

works fully offline, no API fallback

- Built-in Kanban board, PTY terminal, Chat and Monaco editor in the browser

- Graphiti-based memory for cross-session context

- Three-track planning (Quick Flow / Standard / Enterprise)

- Docker compose for deployment

Tech stack: Python 3.12 / FastAPI, React 19 / Vite / Tailwind v4, Claude Agent SDK,

Graphiti + LadybugDB.

Honest limitations:

- Only tested on Ubuntu 24.04 + Docker; macOS/WSL2 should work but I haven't verified

- A few endpoint test suites are skipped (the routes exist on the roadmap but aren't

implemented yet, the tests stayed in the repo as a TODO)

- AGPL-3.0 . fine for personal/team use, the SaaS clause makes some companies

cautious.

Credit where due: MagesticAI is a fork of Aperant

(formerly Auto Claude Desktop) by AndyMik90.

I've added the Client-Server(Cloud), multi-LLM provider engine, Ollama native tools, BMad-style complexity-adaptive planning, and a bunch of UX cleanup.

Repo: https://github.com/dataseeek/MagesticAI

Genuinely interested in what people think and especially anyone who's triedagent-driven dev tools and bounced off them. What broke for you? Curious if SDD addresses any of those pain points.