Lifei Zhou 53d1c6fa4c Merge branch 'main' into lifei/e2e-test
* main: (171 commits)
  fix: TLDR CLI tab in Neighborhood MCP docs (#7461)
  fix(summon): restore skill supporting files and directory path in load output (#7457)
  Simplified custom model flow with canonical models (#6934)
  feat: simplify the text editor to be more like pi (#7426)
  docs: add YouTube short embed to Neighborhood extension tutorial (#7456)
  fix: flake.nix build failure and deprecation warning (#7408)
  feat(claude-code): add permission prompt routing for approve mode (#7420)
  docs: generate manpages (#7443)
  Blog/goose v1 25 0 release (#7433)
  fix: detect truncated LLM responses in apps extension (#7354)
  fix: removed unnecessary version for goose acp macro dependency (#7428)
  add flag to hide select voice providers (#7406)
  New navigation settings layout options and styling (#6645)
  refactor: MCP-compliant theme tokens and CSS class rename (#7275)
  Redirect llama.cpp logs through tracing to avoid polluting CLI stdout/stderr (#7434)
  refactor: change open recipe in new window to pass recipe id (#7392)
  fix: handle truncated tool calls that break conversation alternation (#7424)
  streamline some github actions (#7430)
  Enable bedrock prompt cache (#6710)
  fix: use BEGIN IMMEDIATE to prevent SQLite deadlocks (#7429)
  ...
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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%