Atlas
Know which prompt shipped which line.
The agentic visibility & control layer your SDLC was missing.
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Your entire engineering team uses coding agents. You get stacked PRs, you see the diffs without the context. When something breaks in production, do you know whose agent changed it, and what it was told?
That's why we built Atlas: every coding agent your team runs, recorded and linked to the commits it produced, on a shared timeline the whole team can collaborate and comment on.
Desktop app or terminal
Both feed the same team timeline, so mix them: one teammate in the desktop app, another in a terminal over SSH.
Atlas desktop. The control-surface IDE below.
Atlas CLI. Happy in your terminal? atlas-cli hooks into the agents you already run (Claude Code, Codex, Cursor, Copilot, OpenCode, Droid, Antigravity and Pi), records every session, links its commits and gives every agent one shared memory. macOS and Linux.
curl -fsSL https://github.com/tryatlas/cli/releases/latest/download/install.sh | sh
For engineers
Atlas is a "control-surface IDE" built around managing your agents' context.
- Bring every agent, run them in parallel. Claude Code, Codex and more, side by side.
- Teach once, every agent remembers. Shared memory carries a correction you give one agent over to the rest.
- Context follows you between agents.
@ a file, repo, branch or past session. Your CLAUDE.md, AGENTS.md and knowledge notes reach every agent, and a new session is briefed on where the last one stopped.
- Conversations are context too. Team chat, shared prompts and Spaces, right next to your agents.
- Steer a live session from anywhere. Start remote control on a desktop session and drive it from a browser, on another computer or your phone. Invite teammates to watch, and hand one of them the controls.
- The rest of the IDE is there too. Editor, terminal, source control and pull requests, in the same window.
For engineering managers
- Trace every incident to its prompt. See whose agent changed what, and which session caused the break.
- Measure how your team ships with agents. The ROI dashboard sets AI spend against the commits it shipped: cost per commit and per active hour, by project, person and model.
- Step in while the agent works. A live timeline of every agent session, your comments land directly in the developer's running session.
- One organization, every project. Members see each other's sessions on the timeline and comment on each other's work, from the desktop app or the web app.
Multiplayer
An organization has members and projects (think git repo). Put a project's sessions in the cloud and every teammate who opens the same repository adds their sessions to it.
- One timeline for the whole team. Every member's sessions, both live and finished, with agent, model, tokens, and the checkpoints that tie each one to its commits. Filter by project, agent or person.
- Comment on each other's sessions. Anchor a thread to a whole session or to one prompt, response, tool call or checkpoint.
@-mention, reply, resolve. On a live session, the comment lands in the developer's session while the agent is still working.
- Talk next to the work. Channels and DMs where a message carries a session or checkpoint card, plus calls, prompt drafts you write together, and Spaces.
- Ask Atlas about the team. "What did we work on today?" Atlas, your organization's own agent, answers from everyone's sessions, and can run Deep research or post to a channel when you ask.
Only the record of agent work syncs, never your source tree, and secrets are redacted on your machine first. What syncs, exactly →
Checkpoints
A checkpoint is like a commit++ with more info: which session produced it, what the agent was asked, the tool calls it made, and the reasoning behind the change, kept together instead of lost the moment the terminal scrolls.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
