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AI Code Comparison

Goose vs. Jules

At a glance

At a glance

Goose

Best for

Best for developers who want a local, model-agnostic agent that automates work beyond writing code.

  • Freelancers
  • Small and mid-sized

Jules

Best for

Best for offloading well-scoped tasks like bug fixes, tests and dependency bumps to run in the background.

  • Freelancers
  • Small and mid-sized

Cataleo does not name a winner. Both statements come from the vendors themselves.

Full Comparison

Criterion Goose Jules
Starting price Free, open source Apache 2.0. You pay only for the usage of whichever LLM provider you connect, and local models through Ollama cost nothing. Free tier 15 tasks per day on the free tier. Higher limits require a Google AI Pro or Ultra subscription.
Free trial Free, open source (Apache 2.0) Free tier (15 tasks per day)
Commercial use Yes Yes
Output A local agent that writes code, runs tools and automates tasks Pull requests with code changes on GitHub
API Yes, an API for embedding the agent elsewhere Yes, an alpha REST API
Hosting Runs locally on macOS, Linux and Windows Not stated
Where it runs A native desktop app for macOS, Linux and Windows, a terminal CLI, and an API for embedding it elsewhere; built in Rust Cloud VMs, integrated with GitHub repositories
Inline completions No, an agent rather than an inline autocomplete tool N/A, an asynchronous agent rather than an editor
Agent mode Yes, with subagents for parallel tasks and Recipes, portable YAML workflows that also run in CI/CD Yes, autonomous: analyses the repository, plans the task, then opens a pull request for review
Model choice 15+ providers including Anthropic, OpenAI, Google, Azure, Bedrock, OpenRouter and local models through Ollama; existing Claude, ChatGPT and Gemini subscriptions work over the Agent Client Protocol Gemini models: Gemini 2.5 Pro on the free tier, Gemini 3 Pro on paid tiers
Data control Runs on your own machine and can run fully local against Ollama Each task runs in an isolated cloud VM. Google states private repository content is not used to train its models, and which repositories Jules can reach is set through the GitHub app's permissions
Ecosystem fit 70+ extensions over the Model Context Protocol, including databases, APIs, GitHub and Google Drive, with custom extensions possible Google; GitHub integration and the Gemini models, plus the Jules Tools CLI and a Render integration that reads failed build logs and pushes fixes to the same pull request
Deployment On-premise more entries Cloud (SaaS), Browser-based
Support Not stated Community forum
Onboarding Documentation and knowledge base Documentation and knowledge base
Company size Freelancers, Small and mid-sized Freelancers, Small and mid-sized
Integrations more entries GitHub, Google Drive, Ollama, OpenRouter, AWS Bedrock, Azure GitHub, Render

Compare more tools

Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.

The short version

Key Differences

  • Starting price Goose Free, open source Jules Free tier
  • Free trial Goose Free, open source (Apache 2.0) Jules Free tier (15 tasks per day)
  • Deployment Goose On-premise Jules Cloud (SaaS), Browser-based
  • Output Goose A local agent that writes code, runs tools and automates tasks Jules Pull requests with code changes on GitHub
  • API Goose Yes, an API for embedding the agent elsewhere Jules Yes, an alpha REST API

Every line is one datapoint from the table above, picked automatically. Nothing here is written text.

The trade-offs

Strengths and Limitations

Goose

Strengths

  • Free and open source under Apache 2.0, with no paid tier
  • Runs locally and can be pointed at local models, so code need not leave the machine
  • Vendor-neutral governance under the Linux Foundation
  • Recipes make a workflow portable across a team and runnable in CI/CD

Limitations

  • No inline code completion and no editor of its own
  • You supply and pay for model access yourself
  • Setup and upkeep are on the user, with no hosted service to fall back on

Jules

Strengths

  • Runs asynchronously in the cloud, no local setup
  • Integrates directly with GitHub and opens pull requests
  • Free tier for light use

Limitations

  • Tied to Gemini models, no other model choice
  • Higher limits require a Google AI subscription
  • Asynchronous only, not an interactive editor

Plans

Pricing

Goose

  • Open source $0 Free and open source under Apache 2.0. You pay only for the usage of whichever LLM provider you connect.
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Jules

  • Free $0 15 tasks per day, 3 concurrent, Gemini 2.5 Pro.
  • Pro Not stated Via a Google AI Pro subscription. 100 tasks per day, 15 concurrent, Gemini 3 Pro.
  • Ultra Not stated Via a Google AI Ultra subscription. 300 tasks per day, 60 concurrent.
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What users say

Review Scores · opens after launch

Goose

Ease of use
Not rated yet
User interface
Not rated yet
Onboarding
Not rated yet
Support and service
Not rated yet
Value for money
Not rated yet
Features
Not rated yet

No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.

Jules

Ease of use
Not rated yet
User interface
Not rated yet
Onboarding
Not rated yet
Support and service
Not rated yet
Value for money
Not rated yet
Features
Not rated yet

No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.

Where this comes from

Where this comes from

Goose https://goose-docs.ai · no check date recorded yet

Jules https://jules.google · no check date recorded yet

This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.