Head to head · Agent harnesses · October 2026 research run
Orca vs Traycer
Orca and Traycer score within a point of each other on agent readiness, 57.4 (C) and 57 (C). Traycer leads on reliability and transparency & trust. Both do agent harnesses.
Best agent harnesses and coding agents · All 1500 harnesses comparisons
Which one, for what
Orca C
Best for Developers who want an orchestrator agent to split work across parallel coding agents, on desktop or mobile.
Ahead on
- Agent ergonomics, 70 against 65
- Payments & pricing, 40 against 30
Watch for
Anonymous usage data collected by default, with an opt-out
Traycer C
Best for Teams who want several coding agents working together with shared context and boards.
Ahead on
- Reliability, 65 against 58
- Transparency & trust, 60 against 54
Watch for
Privacy Mode is opt-in for individuals; with it off, prompts may be logged
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Payments & pricing Orca +10
Orca 40
Scored on the cloud option. No protocol (0). The cloud price wasn't found on the pages read (0). The desktop app is free and MIT with no card (20). The local app needs no sign-up that we found (20). 0 + 0 + 20 + 20 = 40.
Traycer 30
Scored on the paid option, Traycer's own inference subscription, whose price wasn't read (0 of 20). No protocol (0). Bring-your-own-agent use is free (20). Accounts for sync and teams weren't checked, half (10). 0 + 0 + 20 + 10 = 30.
Reliability Traycer +7
Orca 58
Local software. Desktop and mobile builds and a Homebrew cask (20). Unit, end-to-end and platform test workflows; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Tags to v1.4.251, no changelog file (8). Version 1.4 (15). 20 + 15 + 0 + 8 + 15 = 58.
Traycer 65
Local software. Builds for macOS, Linux and Windows, and package-manager publishing workflows (20). test.yml, CodeQL, OpenSSF Scorecard and secret scanning run on the repository; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). CHANGELOG.md (15). Host 1.5.3 (15). 20 + 15 + 0 + 15 + 15 = 65.
Transparency & trust Traycer +6
Orca 54
MIT (30). Privacy and telemetry docs on the site (not read) (18 of 30). No deprecation policy (5). Disclosed with an opt-out (15 of 20). 30 + 18 + 5 + 15 = 68.
Traycer 60
MIT (30). README privacy section and a linked privacy policy (not read) (18 of 30). CHANGELOG.md, no deprecation policy (10). Analytics described as 'may be enabled', with no opt-out given in the README (8 of 20). 30 + 18 + 10 + 8 = 66.
Agent ergonomics Orca +5
Orca 70
Harness reading. An orchestrator agent that splits work across workers in their own workspaces, chat or raw CLI, a browser and a CLI in one app (70).
Traycer 65
Harness reading. Model switching within an agent, agent-to-agent loops, a CLI and cross-device sync (65).
Score by category
| Category | Weight this run | Orca | Traycer | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 58 | 65 | Traycer +7 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 65 | 65 | even |
| Agent ergonomics | 13%16.2 | 70 | 65 | Orca +5 |
| Security & auth | 14%17.5 | 43 | 42 | Orca +1 |
| Payments & pricing | 10%12.5 | 40 | 30 | Orca +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 75 | 75 | even |
| Transparency & trust | 7%8.8 | 54 | 60 | Traycer +6 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 57.4/100 | C 57/100 |
Facts side by side
| Fact | Orca | Traycer |
|---|---|---|
| Kind | Agent harness | Agent harness |
| Vendor | Lovecast Inc. | Traycer AI |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-11-06 | 2026-11-06 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
Verdicts
Orca
An open-source orchestrator for coding agents with worker agents in their own worktrees, chat and terminal views, a browser and a CLI, on desktop and mobile, with heavy test automation. It collects anonymous usage data by default, and the cloud option's pricing wasn't found.
Traycer
An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds.
Before you call either
Orca
- See the telemetry docs on onorca.dev to opt out of anonymous usage data
- Use the orchestration CLI to hand a large task to one agent that starts workers
Traycer
- Turn on Privacy Mode if you're an individual user and don't want prompts logged
- CLI agents you configure send requests straight to their provider; Traycer's own inference goes through Traycer
Questions
Which is better for AI agents, Orca or Traycer?
Orca and Traycer score within a point of each other on agent readiness, 57.4 (C) and 57 (C). Traycer leads on reliability and transparency & trust.
Are Orca and Traycer open source?
Yes. Orca is open source (MIT). Traycer is open source (MIT).
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Machine-readable
- This page as Markdown
/compare/orca-vs-traycer.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/orca.json·/api/v1/tools/traycer.json - From a terminal
anchor compare orca traycer(the CLI) - Over MCP
compare_tools {"a": "orca", "b": "traycer"}at/mcp, no key