Orca
Orca is an open-source IDE designed for running multiple CLI-based coding agents simultaneously within isolated git worktrees. Built with Electron, it provides a graphical environment where developers can launch and monitor several AI agent processes side-by-side, each operating in its own sandboxed workspace. This isolation prevents conflicts such as file overwrites, branch collisions, or dependency clashes that typically occur when multiple agents target the same codebase. Orca integrates with any command-line agent (e.g., Codex CLI, Claude Code, Aider) by executing them in separate terminal sessions and leveraging git worktrees to create independent working directories. The tool includes a terminal panel for real-time interaction, session management, and configuration options to customize agent behavior. It is particularly useful for developers who want to parallelize agent-driven coding tasks, compare outputs from different models, or run long-running agent workflows without blocking their main development environment. Orca's interface aims to streamline the orchestration of multiple AI assistants, offering features like agent output logging, resource monitoring, and quick switching between workspaces. The project is community-driven, with active development and contributions on GitHub, and is licensed under an open-source model, allowing users to modify and extend its capabilities.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Developers often use AI coding agents to accelerate tasks like feature implementation, bug fixing, or code generation, but running multiple agents concurrently in a single repository leads to conflicts, such as file overwrites, git branch chaos, and unpredictable state changes. Orca solves this by isolating each agent in its own git worktree, ensuring that parallel operations remain clean and independent, while a central UI manages and displays all agent sessions, enabling safe, efficient parallel agent work.
Use cases
- Simultaneously generating boilerplate for multiple features using different Codex CLI agents in isolated branches
- Running a code review agent alongside a bug-fixing agent without intermingling changes
- Performing large-scale refactors by splitting the codebase changes across several agent instances
- Comparing outputs from different AI models (e.g., GPT-4, Claude) on the same coding task in parallel
- Executing a background agent that runs tests while another agent implements a feature
- Training and experimenting with custom agent configurations on a copy of the repository before applying changes
Audience
- Developers
Pros
- Free and open source under MIT license
- Runs any CLI-based coding agent in parallel with full isolation via git worktrees
- Unified IDE experience with embedded terminal and session management
- Prevents inter-agent conflicts and ensures clean code changes
- Active community with frequent updates and extensibility
Cons
- Requires manual installation and configuration, not as turnkey as cloud solutions
- Limited to CLI agents; agents without CLI interfaces cannot be used
- May consume significant system resources when running many agents concurrently
Official website: https://github.com/stablyai/orca
Canonical LambdaBase page: https://www.lambdabase.com/tools/orca