Aperant: A Desktop App for Running Parallel Claude Code Agents

What Aperant Solves and Who Uses It

Aperant is a desktop application for autonomous multi-agent coding. It wraps Claude Code CLI sessions in a visual interface that lets a developer describe a task and have agents plan, implement, and validate it without manually driving each step. The primary use case is parallelizing work: instead of running one agent session at a time, Aperant can spawn up to 12 agent terminals simultaneously, each working on a separate task in its own git worktree.

The project was formerly called Auto Claude, which explains why the repository name on GitHub is still auto-claude and the package.json name field reads auto-claude. The rename to Aperant accompanied the move toward a more structured brand. The homepage is aperant.com.

The tool targets developers who have already adopted Claude Code CLI for assisted coding and want a way to orchestrate multiple parallel sessions with project management features layered on top.

How Parallel Agents and Git Worktrees Work

Each task in Aperant runs in an isolated git worktree. Git worktrees let a single repository have multiple checked-out branches simultaneously in separate directories. When Aperant assigns a task to an agent, the agent works entirely in that worktree, leaving the main branch untouched until the work is reviewed and merged.

The feature table in the README lists an AI-Powered Merge capability that handles automatic conflict resolution when integrating work back to the main branch. Self-validating QA is also listed as a feature: a built-in quality assurance loop catches issues before the developer reviews the output.

Up to 12 agent terminals can run in parallel. Each terminal provides one-click task context injection, so the agent receives the relevant task description and codebase context at startup without manual copy-paste. The Memory Layer feature is documented as allowing agents to retain insights across sessions for use in subsequent builds.

Getting Started: Requirements and Installation

Aperant has three documented requirements before it can be used. First, a Claude Pro or Max subscription is needed because the agents authenticate through Claude's OAuth. Second, the Claude Code CLI must be installed:

npm install -g @anthropic-ai/claude-code

Third, the target project must be initialized as a git repository, since Aperant creates worktrees from the existing git history.

The stable 2.x release is downloadable as a binary from the GitHub releases page. The current stable version is v2.7.6. Platform-specific binaries are available for Windows (x64 exe), macOS (Apple Silicon dmg and Intel dmg), Linux (x86_64 AppImage), Linux Debian (amd64 deb), and Linux Flatpak (x86_64 flatpak). All releases include SHA256 checksums and VirusTotal scan results. The app updates itself automatically when new versions are released.

Interface Components: Kanban, Terminals, and Roadmap

The UI has four main areas. The Kanban Board provides visual task management from planning through completion, showing agent progress in real time. Agent Terminals are AI-powered terminal windows where each running agent session appears; tasks can be injected into a terminal with one click.

The Roadmap view offers AI-assisted feature planning with competitor analysis and audience targeting. This is distinct from the task execution view and is aimed at higher-level product planning rather than coding.

Three additional features are listed in the README: Insights, a chat interface for exploring the codebase; Ideation, for discovering improvements, performance issues, and vulnerabilities; and Changelog, which generates release notes from completed tasks. The repository also integrates with GitHub and GitLab for importing issues and creating merge requests, and with Linear for syncing tasks to team tracking.

Where Aperant Falls Short

Aperant requires a paid Claude subscription. There is no path to use a local model or a different API provider; the architecture is specifically built around Claude Code CLI and Claude's OAuth flow. This makes the tool unsuitable for teams that need to work without a cloud LLM or that have data residency requirements preventing data from leaving their network.

The git worktree requirement means every task creates a separate branch. Projects that have non-git file systems, monorepos with build systems that do not tolerate multiple worktrees, or repositories with large binary assets that would be duplicated per worktree may encounter friction.

The AI-Powered Merge feature resolves conflicts automatically, which means it can commit changes to the main branch without explicit human review of every line. Teams with strict code review policies need to configure the workflow to include review steps before the merge occurs.

AGPL-3.0 License and the 3.0 Transition

Aperant is licensed under AGPL-3.0. The description in the repository states the implication directly: if you modify and distribute it, or run it as a service, your code must also be open source under AGPL-3.0. This is a strong copyleft license that restricts SaaS deployments: any service built on Aperant that is made available to others over a network must also release its source under the same terms.

The 2.x branch is in maintenance mode. The README states that the team is rebuilding the application from scratch for version 3.0, which will add cloud features on top of the local desktop experience. Most 3.0 work is happening in a separate development repository and will be merged back when ready. The last push to the public repository was on 2026-06-14. Pull requests against the current codebase are paused because the 3.0 rebuild makes merging existing code impractical. Version 3.0 will remain fully open source under AGPL-3.0 per the README.

Aperant versus Using Claude Code CLI Directly

Claude Code CLI is the underlying execution engine that Aperant wraps. Using it directly gives a developer a single terminal session and full control over every command. Aperant adds three things that the CLI alone does not provide: a visual project management layer (the Kanban board and Roadmap), parallelism across multiple git worktrees with a unified view, and a self-validating QA loop that runs before the developer reviews output.

The trade-off is overhead. Aperant requires the Electron desktop app to be installed and running, and each parallel agent consumes a Claude API session. A developer working on a single focused task with no need for parallelism gains little from the added layer. The tool's value increases with task count: spawning four agents to tackle four independent features simultaneously is the scenario where the worktree isolation and QA loop justify the extra infrastructure.

For teams using other AI coding tools, the README notes that Aperant is built specifically around Claude Code and does not support other CLI agent backends.

Editorial conclusion

Aperant suits developers already paying for Claude Pro or Max who want a structured UI for running multiple coding agents in parallel on the same repository. The 2.x release is in maintenance mode; teams building on it should expect critical fixes rather than new features until 3.0 ships. Before adopting it, verify that the AGPL-3.0 license is compatible with your distribution model, and confirm that your project can tolerate the git worktree requirement for every agent branch.

Frequently asked questions

Official sources

1. Official documentation
2. Official README
3. Project repository
4. Release notes