Goose: open coding agent

Jack Dorsey’s company released Goose, a free open-source AI coding agent that claims compatibility with any model and has already hit 35k+ stars on GitHub. (x.com) The project positions itself as a lightweight rival to proprietary coding assistants and is being discussed as a practical tool for developer workflows. (x.com)

Most coding assistants stop at autocomplete. Goose is built to keep going after the suggestion, with permission to read files, run code, install dependencies, and execute tests on a developer’s machine. (github.com) (block.xyz) That is the jump from a chatbot to an agent. A chatbot answers a question in a box, while an agent can take a list of tools and actually use them inside a working project. (block.xyz) (modelcontextprotocol.io) Goose was released by Block, the company Jack Dorsey co-founded behind Square and Cash App, through Block’s Open Source Program Office. Block says its own engineers were already using Goose internally before the public launch. (block.xyz 1) (block.xyz 2) The pitch is not “use our model.” The pitch is “bring your own model,” because Goose’s GitHub readme says it works with any large language model and supports multi-model setups so teams can swap models for price, speed, or quality. (github.com) That matters because most popular coding assistants are tied tightly to one company’s stack. Goose is trying to be the universal power strip version, where the tool stays the same even if the model behind it changes. (github.com) (block.xyz) The connector layer here is Model Context Protocol, which is a shared way for an artificial intelligence app to talk to outside tools. The official specification compares it to the Language Server Protocol, the standard that let many code editors plug into many programming languages. (modelcontextprotocol.io) In Goose, that means the model can ask for tools through Model Context Protocol servers instead of having every integration hard-wired by one vendor. Block says Goose can discover new systems through that protocol, so its capabilities can expand as other developers add connectors. (block.xyz) (github.com) The product shape is deliberately plain. Goose ships as both a desktop app and a command line interface, which makes it look less like a glossy software-as-a-service subscription and more like a tool a developer can keep next to Git, Docker, and a terminal. (github.com) (block.xyz) The licensing choice is plain too. Block released Goose under Apache License 2.0, which is a permissive open-source license that allows commercial use, modification, and redistribution without forcing companies to open-source their own products. (block.xyz) Developers noticed fast. The main GitHub repository was showing about 38,000 stars and roughly 3,700 forks when checked on April 9, 2026, which is unusually quick traction for a developer tool that only just got its formal launch post from Block. (github.com) Part of the interest comes from timing. Block has been turning Goose from an internal productivity system into a public open-source project while also talking publicly about deploying artificial intelligence agents across its 12,000-person workforce in eight weeks. (thenewstack.io) (block.xyz) So the real story is not just that another coding assistant showed up. It is that one of the biggest companies pushing agent software decided the winning distribution might be a free local tool, open under Apache License 2.0, sitting on top of whatever model and whatever connectors a developer already wants to use. (block.xyz) (github.com)

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