Will Pfleger 69b0c99139 Merge remote-tracking branch 'origin/main' into wpfleger/goose-client
* origin/main: (27 commits)
  feat: return structured {stdout, stderr} from shell tool with output schema (#7604)
  Improve custom provider creation experience (#7541)
  fix(scheduler): schedules added via CLI showing up in UI (#7594)
  chore: openai reasoning model cleanup (#7529)
  chore(deps): bump hono from 4.12.1 to 4.12.3 in /evals/open-model-gym/mcp-harness (#7585)
  chore(deps): bump minimatch from 10.1.1 to 10.2.3 in /evals/open-model-gym/suite (#7498)
  chore(deps): bump swiper from 11.2.10 to 12.1.2 in /documentation (#7368)
  Better network failure error & antrhopic retry (#7595)
  feat: make the text bar persistent and add a queue for messages (#7560)
  fix: outdated clippy command in goosehints (#7590)
  chore(deps): bump hono from 4.11.7 to 4.12.1 in /evals/open-model-gym/mcp-harness (#7417)
  chore(deps-dev): bump ajv from 6.12.6 to 6.14.0 in /ui/desktop (#7437)
  chore(deps): bump ajv from 8.17.1 to 8.18.0 in /evals/open-model-gym/mcp-harness (#7491)
  chore(deps): bump hono from 4.12.0 to 4.12.2 in /ui/desktop (#7515)
  chore(deps-dev): bump rollup from 4.57.1 to 4.59.0 in /ui/desktop (#7522)
  chore(deps): bump minimatch in /ui/desktop (#7572)
  fix: validate configure probe for streaming providers (#7564)
  Dockerfile: add missing build/runtime dependencies (#7546)
  fix(claude-code): Permission routing for smart-approve (#7501)
  Add base_path field to custom provider config (#7558)
  ...
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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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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%