Goose
Open-source AI agent with desktop app, CLI and API that connects to many model providers and MCP extensions.
How the 8.2 was reached
- Quality of output8/10
54,776 stars, 6,340 forks and an active Apache-2.0 repo pushed 2026-09-29; works with 15+ model providers. github.com
- Ease of use8/10
Native desktop apps for three platforms and a one-line CLI install; no separate docs page was found. github.com
- Pricing value9/10
Free Apache-2.0 open source; the user only pays for whichever model provider they connect. github.com
- API and integration quality8/10
70+ extensions over Model Context Protocol plus a CLI and API to embed; API reference docs not verified. github.com
- Solves the problem it claims to solve8/10
Delivers an open-source agent with desktop, CLI and API; huge repo adoption and Linux Foundation home support the claim. github.com
8.2/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- Apache-2.0 license
- Pay only your chosen model provider
Key Features
- Native desktop app for macOS, Linux and Windows
- CLI with one-line install
- Works with 15+ providers including Anthropic, OpenAI, Google, Ollama, Bedrock
- 70+ extensions via Model Context Protocol
- CLI and API to embed in other tools
Pros & Cons
Pros
- Free and open source, built in Rust
- Desktop, CLI and API options
- Broad provider support
- 54,776 stars and a Linux Foundation home
Cons
- No separate docs page was found
- API reference docs not verified
- Provider costs are on you
- Curl-pipe-bash install may not suit locked-down setups
Suits developers who want a local, provider-neutral agent they can run from a desktop app or terminal. Those who need a hosted service with support contracts should look elsewhere.
Try Goose →Added to scored.tools on
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