# aaif-goose/goose

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

Repository: https://github.com/aaif-goose/goose
Canonical: https://ross.abutalabs.com/products/goose
Homepage: https://goose-docs.ai/
Language: Rust
License: Apache-2.0
License Family: permissive
Topics: mcp, acp, ai, ai-agents
Last push: 2026-08-27T00:18:02+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 52
- inputs: {"age_days": 740, "days_push": 7, "days_rel": 12, "gap_med": 3.0, "n_releases_24m": 137}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 53534, forks 6117 (observed 2026-08-28T04:12:18.102612+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: agent-framework, mcp, llm-inference, cli, developer-tools, chatbot, workflow-automation
- domain: large-language-models, developer-tools
- platform: windows, cli, rust
- tags: mcp-client, acp, coding-agent, desktop-app, recipes, subagents, open-source, ai-agents, automation, command-line, macos, linux, desktop, docker

## Member repositories
- aaif-goose/goose (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:18.102612+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:19:19.275720+00:00, confidence not recorded.
  - readme: https://github.com/aaif-goose/goose (fetched 2026-08-28T04:12:18.102612+00:00, sha fdbfddb8685d)
  - homepage: https://goose-docs.ai/ (fetched 2026-08-28T18:07:05.949525+00:00, sha c6bf6bb66e34)
  - site_page: https://goose-docs.ai/docs/quickstart (fetched 2026-08-28T18:07:05.959041+00:00, sha 5b70af9194a0)
  - site_page: https://goose-docs.ai/docs/category/guides (fetched 2026-08-28T18:07:05.961509+00:00, sha 7b46cc8bd721)
  - site_page: https://goose-docs.ai/docs/category/tutorials (fetched 2026-08-28T18:07:05.963181+00:00, sha fa612ddb32f1)
  - site_page: https://goose-docs.ai/docs/getting-started/installation (fetched 2026-08-28T18:07:05.964784+00:00, sha 273d1d406726)
  - site_page: https://goose-docs.ai/docs/guides/context-engineering/using-skills (fetched 2026-08-28T18:07:05.966527+00:00, sha 1af30f876237)
  - site_page: https://goose-docs.ai/docs/tutorials/custom-extensions (fetched 2026-08-28T18:07:05.968279+00:00, sha a77e8eb37845)
  - site_page: https://goose-docs.ai/docs/guides/acp-providers (fetched 2026-08-28T18:07:05.969945+00:00, sha df02dc48b66d)
  - site_page: https://goose-docs.ai/docs/guides/recipes/session-recipes (fetched 2026-08-28T18:07:05.971673+00:00, sha a5a2d263d752)
- Data as of 2026-08-30T08:39:29.467469+00:00.