David Katz 21e9e8fb04 Merge branch 'main' of github.com:block/goose into dkatz/desktop-improvements
* 'main' of github.com:block/goose: (23 commits)
  blog post on subagents vs subrecipes (#4829)
  fix chat button alignment and spacing for attachments (#4794)
  fix: remove nested double quotes in windows automation_script tool description (#4824)
  fix: a few things with the mcp snapshot test (#4818)
  Revert "fix(compaction): try to catch more context limit exceeded erors and compact" (#4820)
  test: add test coverage for Tools Inspector (#4700)
  feat: Parse and use retryDelay from Google API RateLimitExceeded errors (#4124)
  cleanup: remove unused link preview and goose response form components (#4795)
  fix build: latest bedrock version (#4812)
  prefer users SHELL (#4702)
  feat: update aws-sdk-bedrockruntime to enable AWS_BEARER_TOKEN_BEDROCK auth (#4327)
  correct the tests from an odd merge (#4804)
  docs: import yaml recipe (#4799)
  docs: Add openmetadata extension to goose mcp docs (#4547)
  Add elapsed time to the CLI output. (#4609)
  fix: Fix cell coordinate ordering in XlsxTool and add unit tests (#4551)
  Use gemini flash for summarization on open router (#4290)
  chore(deps): bump xcb from 1.5.0 to 1.6.0 (#4289)
  feat(shell): throw errors on interactive commands (#4788)
  feat: AgentManager - foundation for unified execution (#4389) (#4684)
  ...
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goose

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

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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.

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Why did the developer choose goose as their AI agent?

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

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