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Goose

byAgentic AI Foundation (Linux Foundation)listed Jun 3, 2026

Coding AgentsFreeModerate setupUser-configurable across 15+ providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Amazon Bedrock

Goose is a local, open-source general-purpose agent governed by the Agentic AI Foundation at the Linux Foundation. It offers desktop, CLI, and API interfaces for coding, research, automation, and data work, with MCP extensions, skills, recipes, subagents, and configurable model providers.

Freshness note: AI-agent behavior can change after model releases, client updates, pricing changes, or new default settings. Use the aggregate score as a historical baseline and check recent reviews plus model/runtime context before deciding.

Pricing
Free and open source (Apache-2.0); bring your own model API keys or supported AI subscriptions
Model backbone
User-configurable across 15+ providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Amazon Bedrock
Setup complexity
Moderate setup
Last reviewed
Awaiting reviews
Recent signal
Awaiting reviews
Evidence sources: 1 editorial evaluation available, shown separately from community evidence. Editorial evaluations are Ruling research, not community testimonials, and do not contribute to the community score.

Ruling editorial research.

Platform-authored research, separate from firsthand community reviews and excluded from community scores.

Ruling editorial evaluation

An open agent runtime for builders who value extensibility

Context: local extensible agent workflows with MCP-connected tools

Ruling editorial benchmark: Goose is a strong open-source option for developers who want a local agent across desktop, CLI, and API surfaces with broad model-provider and MCP extension support. Its place in the Agentic AI Foundation strengthens the portability and open-ecosystem case. The same flexibility creates setup and reliability variance, so teams should standardize providers, extensions, permissions, and evaluation tasks before treating it as shared infrastructure.

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