Open-Source AI · Coding assistant

Goose vs Sourcegraph Cody

Goose vs Sourcegraph Cody compared for 2026 — features, license, ease of use, performance and which one to choose. On-machine AI agent for engineering tasks vs Codebase-aware AI assistant.

Updated regularly · curated by OpenSourceAI.tech

Choose Goose for local agentic coding with MCP tools. Choose Sourcegraph Cody for large codebases where context matters.

Goose vs Sourcegraph Cody at a glance

SpecGooseSourcegraph Cody
CategoryCoding assistantCoding assistant
TypeAgentic dev assistantIDE assistant
LicenseApache-2.0Apache-2.0
Runs locallyYesNo
Primary languageRustTypeScript
Ease of useIntermediateBeginner
Best forlocal agentic coding with MCP toolslarge codebases where context matters
GitHub stars

How Goose and Sourcegraph Cody score

🤝 Too close to call — Goose and Sourcegraph Cody land within a hair (4.5 vs 4.5 / 5). Pick on fit, not on score.
CriterionGooseSourcegraph Cody
Popularityn/an/a
Maintenancen/an/a
Ease of use3.55.0
Privacy5.03.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Goose

Agentic dev assistant · Apache-2.0

Goose, by Block, is an open-source on-machine AI agent that automates engineering tasks end to end — writing code, running commands and using tools via MCP.

  • Runs on your machine, model-agnostic
  • Extensible via MCP tools
  • Automates real engineering tasks
Visit Goose →

Sourcegraph Cody

IDE assistant · Apache-2.0

Cody answers questions and writes code with full context of your repository, using code search to ground its answers in your actual codebase.

  • Grounds answers in your real codebase
  • Works across many IDEs
  • Strong code search backing
Visit Sourcegraph Cody →

Key differences

Goose is agentic dev assistant, while Sourcegraph Cody is iDE assistant. Goose leans more intermediate-friendly, whereas Sourcegraph Cody is more suited to beginner users. They also differ in how they run (Yes vs No). In short, Goose fits local agentic coding with MCP tools, and Sourcegraph Cody fits large codebases where context matters.

Which should you choose?

Choose Goose for local agentic coding with MCP tools. Choose Sourcegraph Cody for large codebases where context matters.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Goose or Sourcegraph Cody easier to use?

Sourcegraph Cody is generally the easier of the two to get started with, while Goose rewards more setup with more control.

Are Goose and Sourcegraph Cody free?

Goose is free and open source (Apache-2.0), and Sourcegraph Cody is free and open source (Apache-2.0). Neither charges for the core software.

Can I run Goose and Sourcegraph Cody locally?

Goose: yes · Sourcegraph Cody: no. Both can be used without sending your data to a third-party cloud where their setup allows.

Goose vs Sourcegraph Cody — which should I pick in 2026?

Choose Goose for local agentic coding with MCP tools. Choose Sourcegraph Cody for large codebases where context matters.

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