traycer.ai valid
Traycer AI
- Authority
- 52 reach 11 · trust 10 · quality 16 · freshness 15
- Tier
- listed
- llms.txt
- https://docs.traycer.ai/llms.txt
- llms-full.txt
- https://docs.traycer.ai/llms-full.txt
- Sections
- 0
- Links
- 96
- Size
- 17635 bytes
- Popularity rank
- #126806
- Registered
- 2024-02-14
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-18T15:08:55.050Z
- Last checked
- 2026-10-25T18:55:59.078Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:55:56.798Z. Cached copy · Source on traycer.ai
# Traycer AI
- [What is Traycer?](https://docs.traycer.ai/index.md): Traycer is an open-source desktop app for running Claude Code, Codex, Cursor and other AI coding agents in parallel, with shared plans and code review.
- [Install](https://docs.traycer.ai/install.md): Get Traycer Desktop running on your machine, keep it updated, and remove it.
- [First run and importing](https://docs.traycer.ai/first-run.md): What happens the first time you open Traycer Desktop: signing in, host setup, the introduction, importing your Claude Code, Codex and OpenCode sessions, and the setup guides.
- [Quickstart](https://docs.traycer.ai/quickstart.md): Sign in, send your first prompt to start a Task and its first agent, and review the result.
- [Plan a feature with artifacts](https://docs.traycer.ai/guides/plan-a-feature.md): Have agents frame, plan, and break down a feature as artifacts, review the plan with comments, then build from the tickets.
- [Run agents in parallel on worktrees](https://docs.traycer.ai/guides/parallel-agents-on-worktrees.md): Give each agent its own worktree and branch so several can change the same repository at once, then review the branches and clean up.
- [Review agent changes](https://docs.traycer.ai/guides/review-agent-changes.md): Check what an agent changed, get a written review, send fixes back, and roll back what you don't want.
- [Work across two machines](https://docs.traycer.ai/guides/work-across-machines.md): Add another machine as a host, run agents there from this window, open its dev servers here, and keep going when one machine is offline.
- [Tasks and Workspace Folders](https://docs.traycer.ai/concepts/tasks-and-workspace-folders.md): Understand Tasks, Task tabs, and workspace folders in Traycer Desktop.
- [Artifact workflow](https://docs.traycer.ai/concepts/artifact-workflow.md): How agents use Traycer's built-in skills to plan, build, and review work through artifacts.
- [Agent-to-Agent](https://docs.traycer.ai/concepts/agent-to-agent.md): How Traycer agents create child agents, message each other across Tasks and hosts, read each other's transcripts, and show up in the Agent office.
- [Terminal Agents VS Terminals](https://docs.traycer.ai/concepts/terminal-agents-vs-terminals.md): Understand the difference between an agent on the Terminal interface and a plain shell terminal.
- [Worktrees](https://docs.traycer.ai/concepts/worktrees.md): Understand how Traycer uses workspace folders and git worktrees for agents and diffs.
- [Setup and teardown scripts](https://docs.traycer.ai/concepts/worktrees/scripts.md): Run commands when Traycer creates or removes a worktree, and choose how new worktree branches are named.
- [Sweep](https://docs.traycer.ai/concepts/sweep.md): Clean up Task worktrees, understand what gets deleted, and review work that may still be needed.
- [Hosts](https://docs.traycer.ai/concepts/hosts.md): Understand the Traycer process that runs agents, terminals and file access on each of your machines.
- [Rem
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