
goose
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated Aug 2026
Goose is a local AI agent with full access to your development environment: it writes code, runs commands, and drives your tools using whatever LLM you point it at. Block (the company behind Square and Cash App) built it, then donated it to the Linux Foundation's Agentic AI Foundation, which makes it one of the few coding agents with vendor-neutral governance instead of a single company's roadmap. Apache 2.0, free.
Extensibility is the differentiator. Goose extends through MCP servers, so the same connectors that work with other agents plug in here: Kubernetes, AWS, CI pipelines, whatever your workflow touches. It runs as a CLI or desktop app, and releases land steadily, mostly provider integrations and protocol work, plus a patched command-execution advisory in its review feature earlier this summer.
Use it if you want an open, vendor-neutral agent you can point at any model, including local ones through Ollama. Quality tracks the model: with a frontier model it's impressive, with small local models it struggles on complex tasks.
The catch: giving an agent full terminal access is powerful and risky, so review what it runs, especially destructive commands. And model API costs are the real price. Expect $30-100/mo for daily use unless you go local.
Free vs Self-Hosted vs Paid
fully freeFree: Everything. Apache 2.0, no paid tier, no hosted service, no commercial edition. Block built it and donated it to the Linux Foundation's Agentic AI Foundation, so no single vendor controls the roadmap.
Self-hosted: It's a local CLI/desktop app, so there is nothing to host. Connect any LLM: Claude or OpenAI means per-token costs, Ollama with a local model means zero marginal cost but lower quality on complex tasks.
Paid: Nothing to buy. For a developer using it daily, expect $30-100/mo in API costs depending on usage intensity and model choice.
Free tool. You pay for whatever LLM API you connect, $30-100/mo typical for active use.
What to do by team size
- Solo
- free + your LLM API costs
- Small team
- free; each dev runs their own instance with their preferred LLM
- Medium team
- free; evaluate centralized API key management for cost control
- Large team
- free; consider enterprise LLM agreements for cost optimization
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A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores
Trust Signals
License: Apache License 2.0
Use freely. Patent grant included.
Commercial use: ✓ Yes
About
- Owner
- Block Open Source (Organization)
- Backed by
- Block Inc (fka Square)
- Stars
- 52,881
- Forks
- 6,022
- trending
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