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Goose and Hermes Desktop compared side by side on platforms, pricing, local model support, capabilities, strengths and trade-offs.
Your native open source AI agent for code, workflows, and everything in between.
A native desktop app for Nous Research's self-improving Hermes agent.
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Comparing desktop AI apps is the process of evaluating two or three competing programs side by side on live community signals, platform support, capabilities, pricing, and trade-offs so you can pick the one that fits your machine and workflow.
Start with the constraints that are not negotiable: the computer you already use, the budget you can sign off on, and the kind of work you need to do. An app that does not run on your platform or fit your model is not really an option, no matter how popular it is.
Then look at live signals: for open-source apps, GitHub stars and contributors show whether the project is gathering momentum, release download counts show whether people are actually installing it, and last-commit date shows whether the maintainers are still around. Capability flags like local models, cloud models, MCP support, and agent mode narrow the field to apps that match what you want to do.
Finish by reading the strengths and trade-offs columns side by side. The simplest app that covers your real need almost always beats the most powerful one. Copy the share link once you have a comparison you trust so you can revisit it later.
Decisions about desktop AI apps rarely happen in isolation. Pair this comparator with the directories that ground the rest of the stack.
Live data from GitHub and the package registries, refreshed every day.
GitHub stars
Contributors
Forks
Latest release downloads
Pick Goose if you need: An open source agent that does real work on your machine
Full Goose profilePick Hermes Desktop if you need: A self-improving AI agent on your desktop
Full Hermes Desktop profileThe engines that power local AI apps, with live stars, downloads, capability filters, and a comparator.
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Hermes Desktop is more popular on GitHub with 249.4K stars, against 54.9K for Goose. Stars measure developer interest, so also compare downloads and contributors above.
Goose has 655 contributors and its last commit was Yesterday. Hermes Desktop has 4.1K contributors and its last commit was 6 days ago.
Goose was first released in 2025 and Hermes Desktop in 2026. A longer track record usually means more examples, integrations and answered questions.
Goose is built by Agentic AI Foundation (Linux Foundation) and ships under the Apache 2.0 license. Hermes Desktop is built by Nous Research and ships under the MIT license. The table above compares platforms, local model support and the features each app adds.
Goose is open source and Hermes Desktop is open source. Check the current plans on each website before you buy seats for your team.
Start with where your data must stay. If it cannot leave your machines, pick the app that runs models locally. Then check support for the devices your team uses and the features you need, such as MCP tools or chat with your documents.
