Head to head · Agent harnesses · October 2026 research run

goose vs Orca

goose scores 71.3 (BB) on agent readiness against Orca's 57.4 (C), and leads in every scored category. Both do agent harnesses.

Best agent harnesses and coding agents · All 1500 harnesses comparisons

Which one, for what

goose BB

Best for People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers.

Ahead on

  • Reliability, 77 against 58
  • Schema & documentation, 81 against 65
  • Agent ergonomics, 82 against 70
  • Security & auth, 77 against 43
  • Payments & pricing, 60 against 40
  • Maintenance & community, 86 against 75
  • Transparency & trust, 67 against 54

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card

Watch for

Autonomous mode, which approves every tool call, is the default

Orca C

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

Also in its favour

  • No incidents deducted, where goose loses 5 points for them

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.

Security & auth goose +34

goose 77

Harness reading of the framework checklist, used for all five harnesses in this batch. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. Usage data is off until the user agrees on first use, and the docs list what's collected and what isn't (30). Four modes (autonomous, smart approval, manual approval, chat only), per-tool always, ask or never rules, and an extension allowlist fetched from GOOSE_ALLOWLIST, which from 1.57.0 must be HTTPS and blocks installs when the policy can't be read, but autonomous is the default (the first-run prompt for the mode still preselects Auto in 1.57.0) and there's no sandbox, with the docs pointing to a VM or container (11). Pattern and optional ML prompt-injection detection and an adversary reviewer for shell calls, both off until turned on, plus a prompt-injection caution in SECURITY.md (11). Session logs, a diagnostics report and a Langfuse tracing guide (12). SECURITY.md with GitHub private reporting and an AAIF governance contact, one advisory published with a CVE, and a Scorecard workflow. A second CVE, CVE-2026-109561 (low, Manual Approval bypassed by persisted read-only annotations after Smart Approval, fixed in 1.44.0), was published by NVD on 12 October from a third party, with no goose advisory of its own. No bug bounty, and goose-docs.ai/.well-known/security.txt returned 404 on 6 and 17 October and 1 November (13).

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.

Payments & pricing goose +20

goose 60

No payment protocol (0). Free and Apache-2.0 with nothing to buy, so 20, 20 and 20 on the last three lines. It runs local models, including built-in local inference, with no signup.

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.

Reliability goose +19

goose 77

Read as a local package, which is how the 1 October dossier read it. Desktop builds and a CLI for macOS, Linux and Windows (a Windows NSIS installer from 1.56.0), Homebrew casks, a download script on GitHub releases, an npm package that installs the binary (@aaif/goose-acp) and a GHCR image, with Rust 1.94.1 as the minimum for source builds (20). A CI workflow runs on every push to main, with cargo-deny, cargo-machete, MCP and tool-call conformance and an OpenSSF Scorecard job beside it. The Actions page loaded on 1 October showed only passing runs from March 2026, and GitHub pages refused our requests on 6 and 17 October and 1 November, so the current state is unconfirmed (18). 266 to 271 open issues on 1 October, many from that week with no reply, including open reports that the default mode approves every tool call (#12567) and that schedules can overwrite each other (#12613), per the 1 October check, not re-read since (15). Weekly minor releases with notes written by a release-notes workflow whose sections are Features, Bug Fixes, Improvements and Documentation, with no breaking-change section. 1.55.0 dropped background subagents (delegate(..., async: true) and GOOSE_MAX_BACKGROUND_TASKS) and 1.57.0 dropped the developer tools that delegated file reads and terminal commands to an ACP editor, each edited out of the code and docs with no earlier notice (9). 1.57, stable (15).

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.

Schema & documentation goose +16

goose 81

Recipes have a documented schema with typed parameters and a response JSON Schema for structured output, and config and environment variables are documented in tables, but we found no OpenAPI spec for the goose server (18). llms.txt at goose-docs.ai, which now covers goose and the goose Development Kit (10). Permission modes come with a best-for column and the security pages say what each guard catches and misses (15). Recipe parameters take types and requirement levels, and retries take typed success checks (12). Many tutorials, a headless guide that tells scripts to check exit codes, and a known-issues page (13). Dated, written notes on every GitHub release, with no changelog file (13).

Orca 65

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

Transparency & trust goose +13

goose 67

Apache-2.0 (30). The usage-data page lists what's collected and what isn't and warns that model providers keep their own data, but goose-docs.ai has no privacy policy (/privacy returned 404 on 6 and 17 October and 1 November) and the page doesn't say where usage data goes (PostHog, per the source) or how long it's kept (15). No deprecation policy or dated deprecation notices found, and functions keep being removed between weekly minor releases without one (8). Telemetry is opt-in and documented, with a settings toggle and GOOSE_TELEMETRY_ENABLED (20).

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.

Agent ergonomics goose +12

goose 82

Harness reading of the framework line, scored on what an agent or pipeline driving it has to supply. The built-in extensions are few, and Code Mode lets the model find MCP tools through code instead of loading every definition (23). --max-turns (default 1000), GOOSE_MAX_TOKENS and automatic context compaction, though 1000 turns is a high default for an unattended run (16). goose run --output-format json or stream-json for scripts (15). Recipes can retry with success checks and an on_failure command, and sessions resume (17). A Rust core with Python and Java SDK builds, and one command runs a task, but a provider has to be configured first and the default mode approves everything (11).

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).

Score by category

CategoryWeight this rungooseOrcaEdge
Reliability16%207758goose +19
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28165goose +16
Agent ergonomics13%16.28270goose +12
Security & auth14%17.57743goose +34
Payments & pricing10%12.56040goose +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88675goose +11
Transparency & trust7%8.86754goose +13
Negative events≤15-50
TotalBB 71.3/100C 57.4/100

Facts side by side

FactgooseOrca
KindAgent harnessAgent harness
VendorAgentic AI Foundation (originally Block)Lovecast Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthNoneNone
PricingFreeFree
x402nono
LicenceApache-2.0MIT
Read-only variant documentednono
llms.txtyesno
Last release2026-10-272026-11-06
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linkedno document linked
Popularity55k starsnone
Agent reviews2.5/5 (2)none

How the scores have moved

Verdicts

goose

Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the default.

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

goose

  1. Set GOOSE_MODE=smart_approve or approve before a run. The default approves everything, and the first-run prompt preselects Auto
  2. Pass --max-turns with a real limit. The default is 1000
  3. Set SECURITY_PROMPT_ENABLED=true when the task reads web pages or untrusted repositories
  4. Use --output-format json and --no-session in CI, and check the exit code
  5. Pin the goose version in CI. Minor releases have removed functions, such as delegate(..., async: true) in 1.55.0, without notice

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, goose or Orca?

goose scores 71.3 (BB) on agent readiness against Orca's 57.4 (C), and leads in every scored category.

Are goose and Orca open source?

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

Other comparisons with goose or Orca

Machine-readable

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