Bradley Axen ce900e240f refactor(goose): complete developer platform migration and cwd semantics
Pass per-call working_dir through platform developer read/write/edit/shell tools so relative paths and shell commands execute from the session directory.

Remove runtime builtin-to-platform developer normalization and centralize legacy normalization in config/session migration paths.

Drop scattered developer__ tool-name handling in ACP, scanner, CLI export/output, and web session UI, and update ACP codemode fixtures/tests to flat Developer.write behavior.
2026-02-17 08:53:19 -08:00
…
2026-02-11 14:35:24 +00:00
2026-02-11 14:35:24 +00:00
2026-02-13 13:50:42 +00:00
2026-02-14 00:21:55 +00:00
2026-02-11 14:35:24 +00:00
…
2026-02-11 14:35:24 +00:00
…
2026-02-11 14:35:24 +00:00
2026-02-10 22:32:20 +00:00
…
2026-02-12 02:43:18 +00:00

goose

a local, extensible, open source AI agent that automates engineering tasks

Discord CI

goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.

Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.

Designed for maximum flexibility, goose works with any LLM and supports multi-model configuration to optimize performance and cost, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.

Watch the video

Quick Links

Need Help?

a little goose humor 🦢

Why did the developer choose goose as their AI agent?

Because it always helps them "migrate" their code to production! 🚀

goose around with us

S
Description
an open-source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Readme Apache-2.0 2 GiB
Languages
Rust 63.6%
TypeScript 29.6%
JavaScript 1.7%
Shell 1.6%
Python 1.5%
Other 1.8%