G

Goose

Local-first open source AI agent with 70+ MCP extensions

PriceFree / Open Source (Apache 2.0)Reviewed2026-04-28
Verdict — Ship
3 Ships1 Skips
Visit goose-docs.ai

The Panel's Take

Goose is a general-purpose AI agent that runs entirely on your machine — no mandatory cloud, no vendor lock-in. Built in Rust by Block (the company behind Square and Cash App), it ships as a desktop app, CLI, and API that can write code, execute commands, browse the web, manage files, and automate workflows using natural language. Goose was one of the earliest adopters of the Model Context Protocol (MCP) and now supports 70+ documented extensions ranging from GitHub integration and database access to browser control and custom toolchains. It works with 15+ LLM providers — Anthropic, OpenAI, Google, Ollama, OpenRouter, and more — so you can run it fully offline with a local model or hook it into a frontier API. The project has now moved under the Linux Foundation's newly formed Agentic AI Foundation (AAIF), putting it alongside MCP and AGENTS.md under vendor-neutral governance. With 38k+ GitHub stars and 400+ contributors, Goose is quietly becoming the go-to open-source agent for engineers who don't want to compromise on privacy or flexibility.

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Goose verdict: SHIP 🚀

3 ships · 1 skip from the expert panel

Full review: shiporskip.io/tool/goose-aaif-block-local-agent-apache-2026

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Ship · 7.5/10
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The reviews

70+ MCP extensions and full offline support means you can actually customize this for real workflows. The YAML recipe system for portable automation is underrated — this is what an agent framework should look like.

Helpful?

Moving to the Linux Foundation sounds great until you realize it adds governance overhead and slows iteration. With Cursor, Windsurf, and Claude Code all competing here, Goose needs a killer differentiator beyond 'open source' to stay relevant.

Helpful?

The AAIF move is huge — MCP, Goose, and AGENTS.md under one neutral roof creates a real open standard stack for agentic AI. This is the Linux of agent frameworks, and the network effects are just beginning.

Helpful?

Finally an agent that respects your privacy enough to run locally without phoning home. For creators handling sensitive client work, the offline-first model is a genuine selling point no SaaS tool can match.

Helpful?

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