
Traycer vs Orca: which coding-agent workspace fits how you work?
Traycer and Orca are both free, open source (MIT) desktop apps for running Claude Code, Codex and other coding agents in parallel with your own subscriptions. Both isolate work in git worktrees, both have a built-in browser with a design mode for pointing agents at UI elements, and both have a phone companion. Pick Orca if you want a worktree-first agent development environment with a full code editor, inline diff comments, SSH worktrees and built-in scheduled automations; pick Traycer if you want agents to share one Task's specs, tickets and context, run on your other machines, message each other across Tasks and hosts, and keep the work planned, reviewed and shared with teammates.
Last checked: October 24, 2026. Both products ship several times a week, so check the linked docs for anything that matters to your decision.
TL;DR
Pick Orca if you:
Want every task in its own worktree by default, and like racing several agents on the same task to keep the best result (first-session recipe).
Review agent diffs line by line and want those comments sent straight back to the agent (Annotate AI Diff).
Want a full code editor (Monaco) next to your agents (Monaco editor).
Need agents to run on a schedule without wiring up cron yourself (automations).
Work over SSH on remote machines (SSH worktrees).
Pick Traycer if you:
Want parallel agents to work from the same specs, tickets and reviews, not from separate chat histories (artifact workflow).
Plan before you build: brief, tech plan, tickets, then batched execution reviewed against the plan.
Want agents to run on your other machines and message each other across Tasks and hosts as a core feature (remote hosts, agent-to-agent).
Want to switch to a different model, including from another provider, inside the same agent without losing context (README).
Need teammates to see, comment on and steer agent work (sharing).
What each tool is
What is Orca?
Orca is Stably's "agent development environment" (ADE). Each task gets its own git worktree, agent terminal and browser tab, and you can run any CLI agent in it. It's MIT-licensed, runs on macOS, Windows and Linux, and has iOS and Android companion apps in beta (docs, repo). The repo had about 104,000 GitHub stars on October 24, 2026, and the changelog shows releases every few days (changelog).
What is Traycer?
Traycer is an open-source desktop workspace for macOS, Windows and Linux where work is organized into Tasks. A Task holds its agents, files, terminals, git diff and artifacts: specs, tickets, stories and reviews that every agent in the Task can read (docs, repo). The desktop app is MIT-licensed and its code and releases are on GitHub.
The core difference
Orca's unit of work is the worktree. You spin one up per task, put an agent in it, and compare or merge what comes out. Traycer's unit is the Task, with shared context around it. Worktrees still isolate the code, but the plan, the tickets and the reviews live on the Task, so a fresh agent joining halfway through reads the same plan as the one that started.
Neither model is better across the board. If your work is many independent changes, Orca's model maps to it directly. If your work is one feature split across several agents that have to agree, Traycer's model is built for that.
Side-by-side comparison
Last checked: October 24, 2026. "Not documented" means we didn't find it in the linked docs on that date, not that it doesn't exist.
| Criterion | Orca | Traycer |
|---|---|---|
| What it is | Agent development environment: desktop app for running multiple coding agents side by side (docs) | Open-source desktop workspace for running coding agents in parallel, with shared plans and code review (docs) |
| Maker | Stably AI, backed by Y Combinator (site footer) | Traycer (repo) |
| License | MIT (LICENSE) | MIT (LICENSE) |
| Price | Free; Enterprise by contact, no public price (enterprise) | Free for individuals; Sync $20/user/mo, or $16 billed yearly; optional pay-as-you-go credits (pricing) |
| Desktop OS | macOS, Windows, Linux (repo) | macOS (Apple Silicon and Intel), Windows x64, Linux x64 (AppImage, .deb, .rpm), Linux build via WSL; no ARM64 builds for Windows or Linux (install) |
| Supported agents | Any CLI agent; 34 preconfigured in the README (repo, supported agents) | 22 coding agents, including Claude Code, Codex, Cursor, OpenCode, Grok, Copilot, Devin, Amp, Droid and Kiro (coding agents) |
| Bring your own subscription | Yes (docs) | Yes; your own agents use their own billing, not Traycer credits (pricing) |
| Interface | Terminal-first; Chat UI is Experimental (Chat UI) | Chat or Terminal interface per agent (coding agents) |
| Worktree isolation | Every task gets its own worktree; worktree setup hooks (worktrees, hooks) | Per-folder Local, New worktree or Existing worktree; setup and teardown scripts; Sweep cleanup (worktrees) |
| Several agents on one task | Documented recipe: race three agents on the same task (first session) | Several agents in separate worktrees is documented (guide); a race-one-prompt recipe is not documented |
| Shared plans, specs, tickets per task | Not documented as a planning workflow; Chat UI shows an agent's proposed plan as a checklist card (changelog) | Artifacts (specs, tickets, stories, reviews) plus built-in plan, execute and review skills (artifact workflow) |
| Agent-to-agent communication | Orchestration (runs, tasks, messages, decision gates), Experimental, CLI-driven (orchestration) | Built in: child agents, messages across Tasks and hosts, reading transcripts, agent roles (agent-to-agent) |
| Switch model mid-conversation | Yes, within an agent's own models, from the model picker in the Experimental Chat UI (Chat UI); switching providers inside one chat not documented | Yes, including to another provider's model, with context shared across providers (README, traycer.ai) |
| Usage-limit tracking | Status-bar usage and reset times; account hot-swap (usage, hot-swap) | Usage per provider, account switching, routing a blocked chat to another account or model (usage and routing) |
| Diff review | Diff viewer plus inline line comments sent back to the agent (Annotate AI Diff) | Git Diff panel without line comments; review artifacts; undo a turn (Git Diff, review guide) |
| PRs and issue trackers | GitHub reviews, issues and Actions; Linear and Jira drawers; commit and push (Linear) | Pull Requests panel (GitHub via gh): checks, reviews, "Fix in chat" (Pull Requests) |
| Built-in browser and design mode | Per-worktree Chromium; Design Mode sends a clicked element's HTML, computed CSS and a screenshot to the agent (browser, Design Mode) | In-app browser that agents drive while you watch; design mode: annotate the page, pick an element, write feedback and send it straight to the chat (browsers) |
| Live visuals in chat | Inline visuals: agents draw charts, diagrams and mockups inside a reply, on desktop and phone, in the Experimental Chat UI (Chat UI) | Live HTML artifacts rendered in the chat to visualize plans, flows or data; live HTML wireframes and Mermaid diagrams in artifacts (wireframes, diagrams) |
| Code editor | Monaco editor with autosave (repo) | File Tree; edit changed files in Git Diff (Git Diff) |
| Remote execution | SSH worktrees; Remote Orca Servers (beta) (SSH, remote servers) | Remote hosts: any other machine running Traycer; run agents, terminals and file access there from one window; port forwarding; agents message across hosts (remote hosts, across machines) |
| Mobile | Companion app (beta): iOS App Store, Android APK; "read-mostly view" (mobile) | Same interface as Desktop; iOS App Store, Android on Google Play; every plan (mobile app) |
| Team collaboration | No in-app sharing documented; Enterprise rollout by contact (enterprise) | Share Tasks (Owner, Editor, Viewer), artifact comments; team sharing on Sync (sharing, teams) |
| SSO/SAML | Not documented publicly (enterprise) | No (Teams FAQ) |
| Scheduled automations | Built in: orca automations with cron or RRULE and prechecks (automations) | Command line plus your own cron (documented example); traycer-autobuild for long builds (commands, artifact workflow) |
| Telemetry | Anonymous usage telemetry; opt out with DO_NOT_TRACK=1 (telemetry) | Sentry and PostHog may be enabled in release builds; Privacy Mode (README) |
Running agents in parallel
Both tools use git worktrees, so two agents never edit the same checkout. The difference is how much the tool assumes about what you do next.
Orca is worktree-native. Every task gets its own worktree, and setup hooks run commands like pnpm install right after one is created (hooks). Its first-session guide is built around racing three agents on the same task, each in its own worktree, and shipping one PR from the best result (first session). It's a documented flow, and a good one when you don't know yet which agent or approach will land.
Traycer lets you choose a run location per folder: Local, a New worktree, or an Existing worktree. You can attach setup and teardown scripts, and Sweep cleans up idle worktrees while keeping the Tasks, conversations and artifacts (worktrees). The docs cover several agents working on separate changes in one repo (guide), but they don't present a "same prompt to N agents" recipe, so if racing agents is your main loop, Orca is the more direct fit.
Keeping agents coordinated and on plan
This is where the two tools differ most. In Traycer, planning and execution are built-in skills that write artifacts to the Task (artifact workflow):
traycer-epic-briefframes the initiative and its scope.traycer-tech-planworks through architecture decisions with you and writes plan artifacts.traycer-ticket-breakdownturns the plan into tickets with dependencies.traycer-executeorders tickets into batches by dependency, starts one child agent per ticket, and reviews each batch against the plan. Product drift stops the run and comes back to you.traycer-artifact-critiquepressure-tests a plan for gaps and contradictions.
Because the plan lives on the Task, every agent reads the same source of truth. Agents can also create child agents, message agents in other Tasks or on your other machines, read each other's transcripts, and claim roles so others can see who owns what (agent-to-agent). None of this is behind an experimental flag.
Plans don't have to be walls of text either. Traycer agents can render live HTML artifacts in the chat to visualize a plan, a flow or a set of numbers, and artifacts can hold live HTML wireframes and Mermaid diagrams (wireframes, diagrams). Orca has a comparable feature: in its Experimental Chat UI, agents can draw charts, diagrams and mockups inline in a reply, on desktop and phone (Chat UI). The difference is where the visual ends up. In Traycer it can sit on the Task as an artifact, next to the plan it explains.
Orca has orchestration too: runs, tasks, messages and decision gates, driven from its CLI. Its docs label it Experimental and ask you to turn it on under Settings first (orchestration). Orca reads your repo's existing CLAUDE.md, AGENTS.md and agent hook configuration rather than replacing them (hooks and memory), and its Chat UI can show an agent's proposed plan as a checklist card. What we didn't find in Orca's docs is a durable spec-and-ticket workflow that several agents share.
For the reasoning behind this approach, see our post on spec-driven development.
Reviewing and shipping changes
Orca wins on line-level review. Annotate AI Diff lets you comment on any line or range of an agent's diff, then sends all comments back to the agent as one batch (Annotate AI Diff). Traycer doesn't have this. Orca also covers commit and push, attribution, GitHub reviews and Actions, and Linear and Jira drawers (Linear).
Traycer's review works at a different level. The Git Diff panel shows changed files and lets you edit them, but the docs say plainly that diffs have no line comments. Comment threads live on artifacts (Git Diff). You can ask a second agent for a written review, which lands as a review artifact with prioritized findings, and you can undo an agent's turn (review guide). The Pull Requests panel reads GitHub through gh and sends a failing check or a review comment to the agent that wrote the branch with "Fix in chat" (Pull Requests).
If most of your review time is spent on individual lines, Orca's loop is faster. If it's spent checking whether the change matches what you planned, Traycer's is.
Built-in browser, editor and UI testing
Both products have a built-in browser with a design mode, so you can point an agent at a specific part of your UI instead of describing it in words.
Orca gives every worktree its own Chromium browser. Its Design Mode lets you click an element and send its HTML, computed CSS and a cropped screenshot to the agent, plus the source file and line when a dev-mode source map is available (Design Mode). It also has computer use (computer use).
Traycer has an in-app browser that agents use. You can watch them work and step in. Its design mode lets you annotate the page, pick an element, write your feedback and send it straight to the chat (browsers). The same browser can show tabs that run on your other machines.
The bigger difference is the editor. Orca ships a Monaco editor with autosave (repo). Traycer has a File Tree and lets you edit changed files in Git Diff. It isn't trying to be a full editor.
Remote machines and mobile
Both tools let agents run somewhere other than your laptop.
Orca supports SSH worktrees and Remote Orca Servers, the latter in beta (SSH, remote servers). Its mobile companion is also in beta, on the iOS App Store and as an Android APK. Orca describes it as a "read-mostly view" of running agents, with replies, worktree controls and account switching (mobile).
Traycer works with remote hosts: any other machine running Traycer, such as a Linux box or a second laptop. Add one with traycer host ensure, and from one window you can run agents, terminals and file access on it, open its dev servers on your laptop through port forwarding, and keep going when one machine is off (remote hosts, work across machines). Agents can message agents on your other hosts, and the in-app browser can show tabs running on another machine (agent-to-agent, browsers). The mobile app runs the same interface as Desktop and reaches your hosts through Traycer's relay. It's on the App Store for iPhone and on Google Play for Android, and it's included on the Free plan (mobile app).
Teams and collaboration
Traycer is built for more than one person. You can share a Task by email or GitHub handle with Owner, Editor or Viewer roles, and people can start comment threads on artifacts (sharing). Sharing with individual people works on every plan; sharing with a whole team needs the Sync plan. Traycer doesn't support SSO or SAML, as its Teams FAQ states (teams).
Orca's Enterprise page covers SOC 2 readiness, self-hosting, organization-level defaults and rollout help, all by contact (enterprise). We didn't find an in-app feature for sharing work between people in Orca's docs as of October 24, 2026, and the Enterprise page doesn't mention SSO. That's "not documented," not "doesn't exist," so ask Stably if you need either.
Automation and unattended runs
Orca wins here. orca automations create schedules agent runs with cron expressions or RRULE strings, with optional prechecks before each run and per-automation model settings (automations). Agents can drive Orca through its CLI too (README).
Traycer's command line can start Tasks and agents, and the docs show how to start a Task every night with your own crontab (commands). There's no built-in scheduler. For long, mostly unattended work, traycer-autobuild drafts a spec, a grading rubric and a way to verify the work, asks you to approve them, then has a builder agent and a separate evaluator agent iterate until the work passes (artifact workflow).
Pricing and licensing
Both apps are MIT-licensed and free to use with your own agent subscriptions.
Orca is free. Stably offers enterprise rollout support by contact, with no published price (enterprise).
Traycer is free for individuals, including cloud sync, remote hosts, the mobile app and agent-to-agent communication, with no token metering. The Sync plan, for sharing Tasks with a whole team, is $20 per user per month, or $16 billed yearly. Optional credits pay for Traycer's own inference at the upstream API price plus a 20% markup. Your own coding agents use their own billing and don't consume credits (pricing).
Which should you choose?
You're a solo developer who wants a code editor next to your agents, and you like trying three agents on a problem and keeping the best one. Use Orca. Worktree-per-task, the editor and line-level diff comments fit that loop.
You or your team plan a feature, split it into tickets, run agents in parallel, and review the result against the plan. Use Traycer. Shared artifacts, batched execution and agent-to-agent messaging keep those agents on one plan, and sharing lets teammates follow along.
You want both. The two work on plain git worktrees and your existing agent CLIs, so they can coexist on one repo. You could plan and coordinate in Traycer and review a large diff line by line in Orca.
FAQ
Is Traycer open source?
Yes. Traycer Desktop is open source under the MIT license; the code and releases are on GitHub at github.com/traycerai/traycer.
Is Orca free?
Yes. Orca is free and MIT-licensed. Stably offers enterprise rollout support by contact, with no published price.
Do Traycer and Orca work with my Claude Code or Codex subscription?
Yes. Both run the agents you already pay for. In Traycer, your own coding agents such as Claude Code, Codex, OpenCode or Cursor use their own billing and don't consume Traycer credits.
Which is better for running several agents in parallel?
Both isolate agents in git worktrees. Orca is built around one worktree per task and documents racing several agents on the same task. Traycer adds shared specs, tickets and agent-to-agent messaging so parallel agents stay on one plan.
Can agents talk to each other?
In Traycer, yes: agents can create child agents, message agents in other Tasks and on other hosts, and read each other's transcripts. Orca offers orchestration with messages and decision gates, currently marked Experimental.
Do they have mobile apps?
Both do. Orca's companion app is in beta (iOS App Store, Android APK). Traycer's mobile app runs the same interface as Desktop (iOS App Store, Android on Google Play) and is included on the Free plan.
How much does Traycer cost for a team?
Individuals use Traycer free. The Sync plan, which lets you share a Task with a whole team, is $20 per user per month, or $16 per user per month billed yearly. Inviting individual people to a Task works on every plan.
Can I use both?
Yes. Both work on plain git worktrees and your existing agent CLIs, so you can, for example, plan and coordinate in Traycer and review diffs line by line in Orca.

