* origin/main: (21 commits) nit: show dir in title, and less... jank (#7138) feat(gemini-cli): use stream-json output and re-use session (#7118) chore(deps): bump qs from 6.14.1 to 6.14.2 in /documentation (#7191) Switch jsonwebtoken to use aws-lc-rs (already used by rustls) (#7189) chore(deps): bump qs from 6.14.1 to 6.14.2 in /evals/open-model-gym/mcp-harness (#7184) Add SLSA build provenance attestations to release workflows (#7097) fix save and run recipe not working (#7186) Upgraded npm packages for latest security updates (#7183) docs: reasoning effort levels for Codex provider (#6798) Fix speech local (#7181) chore: add .gooseignore to .gitignore (#6826) Improve error message logging from electron (#7130) chore(deps): bump jsonwebtoken from 9.3.1 to 10.3.0 (#6924) docs: standalone mcp apps and apps extension (#6791) workflow: auto-update cli-commands on release (#6755) feat(apps): Integrate AppRenderer from @mcp-ui/client SDK (#7013) fix(MCP): decode resource content (#7155) feat: reasoning_content in API for reasoning models (#6322) Fix/configure add provider custom headers (#7157) fix: handle keyring fallback as success (#7177) ...
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.
Quick Links
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a little goose humor 🦢
Why did the developer choose goose as their AI agent?
Because it always helps them "migrate" their code to production! 🚀