atlas vs codeg
Coding agent workspaces compared
atlas and codeg both bring multiple coding agents into a shared workspace. atlas emphasizes linking agent sessions and project context to Git commits, while codeg focuses on coordinating conversations, delegated tasks, and changes across agents.
atlas: Coordinate Coding Agents and Track Their Changes
Atlas is a desktop workspace for running multiple coding agents against one codebase and connecting their work to Git commits. It captures sessions and shares project context so teams and individuals can recover why a change was made and switch agents without restarting from scratch.
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.
| atlas | codeg | |
|---|---|---|
| Language | Rust | Rust |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 8.9k | 4k |
| Forks | 350 | 518 |
| Last analyzed | Oct 4, 2026 | Oct 19, 2026 |
Key differences
- atlas connects recorded agent sessions to commits, including commits made outside the app; codeg emphasizes searching, importing, resuming, and handing off agent sessions.
- atlas shares project memory such as notes, plans, and decisions across agents; codeg brings conversations, files, terminals, and notes together on a workspace canvas.
- atlas offers a desktop workspace for macOS and Windows, with Linux builds described as untested; codeg offers desktop, self-hosted server, and Docker deployment, with mobile clients also described.
- atlas focuses on session history and commit traceability; codeg supports delegated tasks in separate Git worktrees and side-by-side agent responses.
- Both projects are written in Rust and use the Apache-2.0 license. atlas lists 8.9k stars and 350 forks, while codeg lists 3.8k stars and 487 forks.
Choose atlas if you…
- need to trace agent-produced commits back to prompts, tool calls, and file changes.
- want shared project memory and session context while switching between coding agents.
- prefer a local-first desktop workspace that combines agents, Git tools, notes, and research.
Choose codeg if you…
- want to compare agent responses or delegate parallel tasks into separate Git worktrees.
- need to search, import, and resume histories from different agents in one workspace.
- want desktop, self-hosted server, or Docker deployment options, with mobile clients also described.
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.