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Head to head · Agent harnesses · October 2026 research run

Emdash vs Orca

Orca scores 57.4 (C) on agent readiness against Emdash's 53.9 (D), and leads in 5 of 7 scored categories. Emdash leads on payments & pricing. Both do agent harnesses.

Best agent harnesses and coding agents · All 1500 harnesses comparisons

EmdashGeneral Action, Inc. · Agent harness D53.9/100#927 of 1486 OrcaLovecast Inc. · Agent harness C57.4/100#791 of 1486

Which one, for what

Emdash D

Best for Developers who want parallel agents in worktrees, fed from their issue tracker, locally or over SSH.

Ahead on

  • Payments & pricing, 60 against 40

Watch for

Telemetry on unless turned off in Settings or with TELEMETRY_ENABLED=false

Orca C

Best for Developers who want an orchestrator agent to split work across parallel coding agents, on desktop or mobile.

Ahead on

  • Schema & documentation, 65 against 55
  • Agent ergonomics, 70 against 55
  • Security & auth, 43 against 38
  • Maintenance & community, 75 against 70

Watch for

Anonymous usage data collected by default, with an opt-out

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 Emdash +20

Emdash 60

Free self-hosted software with nothing to buy, so 0 for a protocol and 20 each for public pricing, a free tier and onboarding with no sign-up, 60.

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.

Agent ergonomics Orca +15

Emdash 55

Harness reading. Issue intake from Linear, GitHub, Jira and others, diff review, pull requests and CI checks in one place, local or over SSH (55).

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).

Schema & documentation Orca +10

Emdash 55

Harness reading. Docs site and a workspace server package (55).

Orca 65

Harness reading. A docs site with CLI orchestration and native chat pages (65).

Security & auth Orca +5

Emdash 38

Harness reading. Telemetry is described as optional and disabled in Settings or with TELEMETRY_ENABLED=false, which reads as on by default (15 of 30). Worktree per task and remote machines over SSH (10 of 20). No prompt-injection guidance (5). No audit log (5). No security policy file found (3). 15 + 10 + 5 + 5 + 3 = 38.

Orca 43

Harness reading. Anonymous usage data with an opt-out, per the README's link to its telemetry docs (15 of 30). Worktrees per agent and a sandboxed Linux build (12 of 20). No prompt-injection guidance (5). No audit log (5). A dependency-security workflow (6 of 20). 15 + 12 + 5 + 5 + 6 = 43.

Maintenance & community Orca +5

Emdash 70

v1.2.11 on 6 November 2026 (30). v1.2.9, v1.2.10 and v1.2.11 within two weeks (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Current installers and Homebrew cask (15). Release workflows, no test CI (5). 30 + 20 + 0 + 15 + 5 = 70.

Orca 75

Tags to v1.4.251 and commits on 6 November 2026 (30). Many releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Current builds (15). Extensive CI (10). 30 + 20 + 0 + 15 + 10 = 75.

Score by category

CategoryWeight this runEmdashOrcaEdge
Reliability16%205558Orca +3
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25565Orca +10
Agent ergonomics13%16.25570Orca +15
Security & auth14%17.53843Orca +5
Payments & pricing10%12.56040Emdash +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87075Orca +5
Transparency & trust7%8.85454even
Negative events≤1500
TotalD 53.9/100C 57.4/100

Facts side by side

FactEmdashOrca
KindAgent harnessAgent harness
VendorGeneral Action, Inc.Lovecast Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthNoneNone
PricingFreeFree
x402nono
LicenceApache-2.0MIT
Read-only variant documentednono
llms.txtnono
Last release2026-11-062026-11-06
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linkedno document linked

Verdicts

Emdash

A mature open-source app for parallel coding agents in Git worktrees, with issue intake from a dozen trackers and remote machines over SSH. Telemetry is on unless you turn it off, and no test workflow was found in the repository.

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.

Before you call either

Emdash

  1. Launch with TELEMETRY_ENABLED=false if you don't want telemetry
  2. Use the SSH mode to keep agents on a remote machine

Orca

  1. See the telemetry docs on onorca.dev to opt out of anonymous usage data
  2. Use the orchestration CLI to hand a large task to one agent that starts workers

Questions

Which is better for AI agents, Emdash or Orca?

Orca scores 57.4 (C) on agent readiness against Emdash's 53.9 (D), and leads in 5 of 7 scored categories. Emdash leads on payments & pricing.

Are Emdash and Orca open source?

Yes. Emdash is open source (Apache-2.0). Orca is open source (MIT).

Other comparisons with Emdash or Orca

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