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Auto-Claude

Auto-Claude is an open-source autonomous multi-agent coding framework with a Kanban interface, enabling developers to describe goals and let AI agents handle planning, implementation, and QA validation.

Key takeaways

  • Open-source (AGPL-3.0) autonomous coding framework with up to 12 parallel agent terminals
  • Full Kanban board interface for task management from planning through completion
  • Built-in QA validation loop and AI-powered merge with automatic conflict resolution

FAQ

What is Auto-Claude?

Auto-Claude is an open-source desktop app where you describe a coding goal and AI agents autonomously handle planning, implementation, and quality validation in isolated git worktrees.

Is Auto-Claude free?

Yes, Auto-Claude is free and open source under AGPL-3.0. You need a Claude Pro/Max subscription for the underlying AI, which you pay Anthropic directly.

What platforms does Auto-Claude support?

Auto-Claude has native apps for Windows, macOS (Apple Silicon and Intel), and Linux (AppImage, Debian, Flatpak).

Executive Summary

Auto-Claude is an open-source autonomous multi-agent coding framework that turns Claude Code into a "virtual dev team." Developers describe a goal, and Auto-Claude handles planning, implementation, and QA validation through a Kanban-style interface. With support for up to 12 parallel agent terminals and automatic conflict resolution, it represents the most ambitious open-source entry in the autonomous coding space.

AttributeValue
CompanyOpen Source (AndyMik90)
Founded2025
FundingCommunity-driven
ContributorsActive GitHub community
LicenseAGPL-3.0

Product Overview

Auto-Claude takes the "autonomous" concept seriously. Rather than requiring developers to prompt and approve each step, it implements a full autonomous loop: describe your goal, and agents plan the work, implement it across isolated worktrees, run QA validation, and even handle merge conflicts automatically.

The Kanban interface provides visibility into agent progress across planning, implementation, and review stages. Each task moves through the board as agents work, with the ability to run up to 12 agent terminals in parallel.

Key Capabilities

CapabilityDescription
Autonomous TasksDescribe goal; agents handle planning, implementation, validation
Parallel ExecutionUp to 12 agent terminals running simultaneously
Kanban InterfaceVisual task management from planning through completion
Isolated WorktreesAll changes in git worktrees; main branch stays safe
Self-Validating QABuilt-in quality loop catches issues before review
AI-Powered MergeAutomatic conflict resolution when integrating to main
Memory LayerAgents retain insights across sessions

Product Surfaces

SurfaceDescriptionAvailability
WindowsNative Electron appGA (v2.7.5)
macOS (Apple Silicon)Native Electron appGA
macOS (Intel)Native Electron appGA
Linux (AppImage)Portable Linux appGA
Linux (Debian).deb packageGA
Linux (Flatpak)Flatpak packageGA
CLIHeadless operationGA

Technical Architecture

Auto-Claude is built with an Electron frontend and Python backend for agent orchestration. It communicates with Claude Code CLI to run agents, using git worktrees for isolation. The security model includes OS sandboxing, filesystem restrictions, and a dynamic command allowlist.

Project Structure

Auto-Claude/
├── apps/
│   ├── backend/     # Python agents, specs, QA pipeline
│   └── frontend/    # Electron desktop application
├── guides/          # Documentation
├── tests/           # Test suite
└── scripts/         # Build utilities

Key Technical Details

AspectDetail
DeploymentLocal desktop app
FrontendElectron
BackendPython
AgentClaude Code CLI
IsolationGit worktrees
Open SourceYes (AGPL-3.0)

Strengths

  • Truly autonomous — Agents work for hours without intervention; built for overnight/background execution
  • Cross-platform — Full native apps for Windows, macOS, and Linux (multiple formats)
  • Open source — AGPL-3.0 license; community can inspect, modify, and contribute
  • Built-in QA — Self-validating quality loop catches issues before human review
  • Smart merging — AI-powered conflict resolution reduces manual merge work
  • GitHub/GitLab integration — Import issues, investigate with AI, create merge requests
  • Linear integration — Sync tasks with Linear for team progress tracking
  • Active development — Regular releases, responsive Discord community

Cautions

  • Claude dependency — Requires Claude Pro/Max subscription; tied to single provider
  • Autonomous risk — Running agents for hours unsupervised can produce unexpected results
  • Electron overhead — Desktop app uses more resources than native alternatives
  • Learning curve — Autonomous workflow differs significantly from prompt-based tools
  • AGPL license — Copyleft requirements may not suit all commercial use cases
  • Beta features — Some functionality (like Linear integration) may be experimental

Pricing & Licensing

TierPriceIncludes
Open Source$0Full app, all features
Commercial LicenseCustomFor closed-source modifications

Licensing model: AGPL-3.0 (free for open source; commercial licensing available)

Hidden costs: Claude Pro/Max subscription ($20-100/mo) required


Competitive Positioning

Direct Competitors

CompetitorDifferentiation
Augment IntentAuto-Claude is fully autonomous; Intent is spec-driven with human checkpoints
AgentasticAuto-Claude is autonomous execution; Agentastic is parallel manual control
Codex AppAuto-Claude is Claude-based autonomous; Codex App is OpenAI-based managed
TemboAuto-Claude is a desktop app; Tembo is agent orchestration infrastructure

When to Choose Auto-Claude Over Alternatives

  • Choose Auto-Claude when: You want agents working autonomously for extended periods
  • Choose Intent when: You prefer structured spec-driven workflows with human checkpoints
  • Choose Agentastic when: You want manual control over parallel terminal agents

Ideal Customer Profile

Best fit:

  • Developers comfortable with autonomous AI execution
  • Teams wanting overnight/background agent work
  • Open source enthusiasts who value transparency
  • Users on any platform (Windows, macOS, Linux)

Poor fit:

  • Developers wanting fine-grained control over each agent step
  • Teams concerned about autonomous code changes
  • Users preferring managed SaaS over self-hosted
  • Those needing multi-model flexibility (Claude-only)

Viability Assessment

FactorAssessment
Financial HealthCommunity-funded (sustainable)
Market PositionLeader (open source)
Innovation PaceRapid
Community/EcosystemActive (Discord, GitHub)
Long-term OutlookPositive

As the most feature-complete open-source option, Auto-Claude has carved out a strong position. The AGPL license ensures it remains open while allowing commercial licensing.


Bottom Line

Auto-Claude is the most ambitious open-source autonomous coding tool available. Its combination of Kanban interface, parallel execution, QA validation, and AI-powered merging creates a complete pipeline from goal description to merged code. The autonomous approach won't suit everyone, but for developers comfortable with AI working independently, it's remarkably capable.

Recommended for: Developers wanting autonomous agent execution, open-source advocates, and teams needing cross-platform support

Not recommended for: Users requiring fine-grained control, those uncomfortable with autonomous code changes, or teams needing multi-model flexibility

Outlook: Strong community momentum; likely to remain the leading open-source autonomous coding tool


Research by Ry Walker Research • methodology