Goose vs Jules

Pick two tools from the same category to compare side-by-side.

	Goose Open-source, on-machine AI agent created by Block, now hosted at the Linux Foundation's Agentic AI Foundation.	Jules Google's asynchronous coding agent that takes GitHub tasks, proposes a plan, and delivers pull requests.
Category	harness	harness
Vendor type	open source	commercial
Pricing	free	freemium
Strengths	+ Fully open source (Apache 2.0) under neutral Linux Foundation governance + MCP-native extension model with a large extension catalog + Desktop app, CLI, and API interfaces; runs entirely on your machine + Provider-agnostic, including local models via Ollama	+ Generous free tier with 15 daily tasks and no local setup required + Asynchronous plan-approve-PR workflow suited to delegating routine fixes and chores + Paid capacity comes bundled with existing Google AI Pro and Ultra subscriptions
Tradeoffs	− No hosted/cloud offering; users manage their own keys and token spend − Broader general-purpose focus means fewer coding-specific guardrails than dedicated coding harnesses	− GitHub-only repository integration; no support for other forges − Paid tiers are currently limited to personal Gmail accounts, with business upgrade paths still pending − Less interactive mid-task steering than terminal-based pair-programming agents
Used in stacks	0	0