goose

Coding · tested 2026-08-03 · re-test due 2026-11-03 · by the Hlido desk, not the vendor

In short: One of the most agent-native open-source agents on the market — Rust-built, MCP-deep, provider-agnostic, and now vendor-neutral under the Linux Foundation.

5 PASS · 0 FAIL of 5 public-surface claims

Quick answer

goose scores 84/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-08-03). STEADY (84) because the public surface shows an unusually agent-native architecture (CLI + API + deep MCP + ACP), transparent open-source access (Apache-2.0, no pricing lock-in), a named security model, and strong third- Pricing: Open source · Usage-based · Subscription (free entry point documented).

goose (originally from Block, donated to the Linux Foundation's Agentic AI Foundation in 2026) is the rare local agent that reads as infrastructure rather than a product wrapper. It ships three surfaces — a native desktop app, a full CLI, and an API — built in Rust for portability, and it treats the Model Context Protocol as a first-class integration layer rather than a bolt-on, with 70+ documented extensions. For an agentic ecosystem picking durable components, three things stand out: it is genuinely provider-agnostic (15+ LLM providers, and it can ride your existing Claude/ChatGPT/Gemini subscription via ACP), it is Apache-2.0 open source with no pricing lock-in, and its governance now sits with a vendor-neutral foundation instead of a single company's roadmap. The security posture it advertises — prompt-injection detection, tool-permission controls, sandbox mode, an adversary reviewer — is more than most agents bother to name, though we assessed it from the public surface only and did not exercise those controls hands-on. That is the honest boundary on this review: the maturity signals (45k+ stars, 500+ contributors, an active extension ecosystem) are strong and externally corroborated, but Hlido reviewed the public surface, not a full hands-on run, so execution-grit and day-to-day reliability are inferred from the ecosystem rather than measured here. On what is visible, goose is a serious, well-architected, agent-first tool.

Why STEADY

STEADY (84) because the public surface shows an unusually agent-native architecture (CLI + API + deep MCP + ACP), transparent open-source access (Apache-2.0, no pricing lock-in), a named security model, and strong third-party maturity signals (45k+ stars, 500+ contributors, Linux Foundation governance). Held below VITAL because this is a public-surface Tier-1 review — Hlido did not run goose hands-on, so its execution reliability, the effectiveness of its advertised security controls, and real-world task success are inferred from ecosystem signals rather than independently measured.

Public-surface checklist

What it does well

What it fails at

Best for

  • Developers who want a local, open-source agent they can drive from the terminal or embed via API
  • Teams standardising on MCP who need deep, documented extension support
  • Users who want to reuse an existing LLM subscription instead of paying per-token separately
  • Organisations wary of single-vendor lock-in who value Linux Foundation governance

Not recommended for

  • Non-technical users wanting a zero-setup, fully hosted assistant
  • Buyers who need a vendor SLA and managed hosting rather than self-run software
  • Workflows that require a turnkey UI over programmable, local-first tooling

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-08-03.

Compared to

Agent relevance

API CLI MCP SDK Behavioral-testable

Agentic-Commerce Readiness 85/100 · COMMERCE-READY

Independent readiness for agent delegation & transaction. How it’s scored · check live

Strongly agent-native — drivable from a CLI, embeddable via API, and MCP-first with 70+ extensions plus ACP interop (works as an ACP server and can use ACP agents like Claude Code and Codex as providers). One of the more directly agent-integrable tools in the corpus.

Agent-friendly score: 9/10

Evidence

scorecard.json · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-11-03

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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