aaif-goose/goose
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM observed · 2026-08-28
Health v2 · maintenance only
85/100
- Activity 99
- Release rhythm 86
- Longevity 52
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 3.0
- age_days: 740
- days_rel: 12
- days_push: 7
- n_releases_24m: 137
Adoption not part of the score
53534 stars · 6117 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
goose is an open-source, extensible general-purpose AI agent built in Rust that runs locally as a desktop app, CLI, and API. It connects to 15+ LLM providers and 70+ MCP extensions, supporting skills, recipes, subagents, and security features like sandbox mode and prompt injection detection.
Use cases
- automate coding tasks with an AI agent on my machine
- use my Claude or ChatGPT subscription with a local AI agent
- connect an AI agent to databases, browsers, and GitHub via MCP
- run an AI agent headlessly in CI/CD pipelines
- capture reusable agent workflows as shareable configs
- run parallel subagents for code review and research
- build custom MCP extensions for an AI agent
When to choose
- you want a local, open-source AI agent with desktop, CLI, and API interfaces
- you need flexibility across many LLM providers or want to use existing subscriptions via ACP
- you want deep MCP integration with 70+ extensions and custom extension support
- you need automation-friendly features like headless mode, recipes, and CI/CD usage
When to avoid
- you only need a simple code autocomplete or inline suggestion tool
- you require session fork/resume with ACP providers, which is not yet supported
- you prefer a fully managed cloud agent rather than something running on your machine
Facets
application · maturity active
agent-framework mcp llm-inference cli developer-tools chatbot workflow-automation large-language-models developer-tools windows cli rust mcp-client acp coding-agent desktop-app recipes subagents open-source ai-agents automation command-line macos linux desktop docker
10 sources
- readme: https://github.com/aaif-goose/goose · fetched 2026-08-28 · fdbfddb8685d
- homepage: https://goose-docs.ai/ · fetched 2026-08-28 · c6bf6bb66e34
- site_page: https://goose-docs.ai/docs/quickstart · fetched 2026-08-28 · 5b70af9194a0
- site_page: https://goose-docs.ai/docs/category/guides · fetched 2026-08-28 · 7b46cc8bd721
- site_page: https://goose-docs.ai/docs/category/tutorials · fetched 2026-08-28 · fa612ddb32f1
- site_page: https://goose-docs.ai/docs/getting-started/installation · fetched 2026-08-28 · 273d1d406726
- site_page: https://goose-docs.ai/docs/guides/context-engineering/using-skills · fetched 2026-08-28 · 1af30f876237
- site_page: https://goose-docs.ai/docs/tutorials/custom-extensions · fetched 2026-08-28 · a77e8eb37845
- site_page: https://goose-docs.ai/docs/guides/acp-providers · fetched 2026-08-28 · df02dc48b66d
- site_page: https://goose-docs.ai/docs/guides/recipes/session-recipes · fetched 2026-08-28 · a5a2d263d752
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| aaif-goose/goose | main | 85 |
For agents
markdown · JSON · MCP: product_card(name="aaif-goose/goose")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem