Auto Claude: Open-Source AI Project Management Platform

Auto Claude

📖 Overview

Auto Claude transforms the Claude API into a fully autonomous virtual software agency using Kanban boards and parallel processing. Instead of babysitting a single AI chat, you become the manager of multiple AI agents working in parallel.

GitHub Repository: https://github.com/AndyMik90/Auto-Claude Discord Community: https://discord.gg/QhRnz9m5HE

🎥 Video Sources

Video Creator Duration Focus
Auto Claude Overview AICodeKing 8 min Philosophy & quick tour
Auto Claude Deep Dive André Mikalsen 19 min Detailed walkthrough & installation

🎯 Core Philosophy

The Problem: Being a bottleneck when babysitting AI - you need to scale yourself, not just the AI.

The Solution: Shift from “chatbot” to “virtual software agency”

  • You define what needs to be done
  • AI handles how to do it
  • Human reviews and merges

🔑 Key Features

Feature Description
Kanban Board Tasks flow: Planning → In Progress → AI Review → Human Review → Done
Git Worktrees Multiple agents work on different branches without merge conflicts
Agent Terminals Command up to 12 “junior developer” agents simultaneously
Graph Memory + Semantic RAG Indexes project, understands file relationships, builds knowledge graph
AI Self-Review AI critiques its own work before human review
API Key Rotation Multiple keys for handling rate limits
Changelog Generator Automated changelogs from git history
Ideation Feature AI-suggested features and automatic ticket generation

📋 Combined Curriculum

AICodeKing Overview (8 min)

Timestamp Topic
0:00 Introduction - Ralph Wigum plugin recap
0:45 The Problem - Being a bottleneck
1:15 Introducing Auto Claude
1:45 Core Goals - Context amnesia, multi-threading
2:30 Installation - Electron app
2:45 Interface Overview - Kanban workflow
3:15 Task Creation
3:45 Git Worktrees for parallelization
4:30 Conflict Resolution
5:00 Agent Terminals (up to 12)
5:45 Graph Memory System
6:30 Ideation & Roadmap
7:00 Changelog Generator
7:15 API Key Rotation

André Mikalsen Deep Dive (19 min)

Timestamp Topic
00:00 Introduction to Auto Claude
00:39 Getting Started
01:04 Using the Kanban Board
02:11 Task Management and AI Review
06:09 Agent Terminals and Session Management
07:36 Insights and Roadmap Functionality
08:37 Context and Memory System
11:13 Change Log and GitHub Integration
12:49 Advanced Settings and Integrations
16:04 Installing Auto Claude
18:59 Conclusion and Community

🏗️ Architecture

Workflow Pipeline

Define Tasks → Kanban Board → AI Executes → AI Self-Review → Human Review → Merge

Git Worktrees Parallelization

  • Each agent works in isolated worktree
  • No merge conflicts during parallel execution
  • Dedicated AI layer for conflict resolution when merging

Graph Memory System

  • Indexes entire project
  • Understands file relationships
  • Builds knowledge graph of codebase
  • Gets smarter the more you use it

💻 Installation

  • Type: Electron app (cross-platform)
  • Platforms: Windows, Mac, Linux
  • Web option: Mentioned as available

🎯 Learning Objectives

  • Understand the philosophy shift from chatbot to virtual agency
  • How Kanban boards organize AI tasks
  • How Git Worktrees enable parallel agent execution
  • The Graph Memory and Semantic RAG system
  • How to use Agent Terminals (up to 12 agents)
  • The self-review workflow
  • API key rotation for rate limits
  • Ideation feature for project analysis
  • Installation process

✅ Actionable Points

  • Install Auto Claude (Electron app)
  • Set up multiple API keys for rotation (especially for Claude Opus 4.5)
  • Create Kanban board for project tasks
  • Explore parallel agents via Git Worktrees
  • Use Ideation feature for feature suggestions
  • Join Discord community for support
  • Configure GitHub integration
  • Git Worktrees tutorial
  • Claude API multi-session management
  • Semantic RAG for code understanding
  • AI coding agents comparison
  • Kanban for AI workflows
  • [[2025-12-22-aicodeking-opus-gemini-pro-coding-workflow]] - Opus + Gemini workflow (complementary model-switching strategy)

⭐ Rating & Review

After exploring:

  • Quality (1-5): _/5
  • Relevance (1-5): _/5
  • Would recommend: Yes / No
  • Best for: Developers wanting to scale AI coding workflows, those frustrated with single-threaded AI interactions

Captured: 2026-01-05 Sources: AICodeKing, André Mikalsen Repository: https://github.com/AndyMik90/Auto-Claude