orca vs codeg
Coding agent workspaces compared
orca and codeg both provide workspaces for coordinating multiple coding agents, reviewing changes, and running agents in parallel. orca focuses on desktop workflows around isolated Git worktrees, while codeg centers on the Agent Client Protocol and offers a broader set of deployment and integration options.
orca: Orchestrate Coding Agents Across Worktrees
Orca is a desktop and mobile workspace for running coding agents such as Codex, Claude Code, OpenCode, and Pi side by side. It isolates agents in Git worktrees and lets you monitor and steer them locally or over SSH on macOS, Windows, and Linux.
codeg: Coordinate AI Coding Agents with Agent Client Protocol
Codeg is a collaborative workspace for running and coordinating AI coding agents through the Agent Client Protocol. It brings agent conversations, sessions, code changes, and tasks into one experience across desktop, self-hosted server, Docker, and mobile.
| orca | codeg | |
|---|---|---|
| Language | TypeScript | Rust |
| License | MIT | Apache-2.0 |
| Stars | 101k | 4k |
| Forks | 6.4k | 518 |
| Last analyzed | Oct 22, 2026 | Oct 19, 2026 |
Key differences
- orca is a TypeScript desktop app for macOS, Windows, and Linux, with a mobile companion; codeg is written in Rust and supports desktop, self-hosted server, Docker, iOS, and Android.
- orca connects to compatible CLI agents; codeg connects 19 built-in agents and custom agents through the Agent Client Protocol.
- orca offers SSH access to remote machines; codeg adds Telegram, Lark, and WeChat integrations, plus a CLI for scripts and CI.
- orca includes in-app GitHub and Linear workflows; codeg supports repository workflows across GitHub, GitLab, Gitea, and Forgejo.
- orca uses the MIT license, while codeg uses Apache-2.0.
- orca's supplied project facts report 88.6k stars and 5.7k forks; codeg's report 4k stars and 518 forks. Both are active, though codeg's contribution is described as highly concentrated in one person.
Choose orca if you…
- need a desktop workspace for compatible CLI agents across local and SSH-connected remote machines.
- want to review and annotate agent diffs with in-app GitHub and Linear workflows.
- prefer an MIT-licensed project and a mobile companion for monitoring agents.
Choose codeg if you…
- want to connect built-in or custom agents through the Agent Client Protocol.
- need self-hosted server or Docker deployment, session history tools, or mobile access.
- plan to coordinate repository workflows across multiple Git hosting services or invoke agents from scripts and CI.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.