Lifei Zhou 353283f042 Merge remote-tracking branch 'origin/main' into lifei/agent-browser
* origin/main: (85 commits)
  docs: standardize on ~/.agents/skills/ as canonical skill path (#8239)
  feat: bump versions (already published) (#8240)
  Revert "fix: rename bin for the tui (#8231)" (#8238)
  docs: update reusable recipes docs (#8232)
  docs: add GOOSE_SHELL env var (#8233)
  feat(security): add egress logging inspector (#8149)
  blog: Adversary Mode — A Second Pair of Eyes on Every Tool Call (#8220)
  fix: rename bin for the tui (#8231)
  feat: goose serve (#8209)
  refactor: make --text mode independent of the normal TUI (#8210)
  refactor: handle complex streaming/scrolling with better rendering (#8214)
  Add Inference Mesh settings tab (#8094)
  only run windows compile on main branch (#8216)
  used simplified privacy info modal and removed unnecessary components (#8200)
  removed unused welcome route (#8196)
  fix: use build_host_url for GCP Vertex AI location fallback (#8185)
  fix: remove ui/acp/.npmrc to allow auth token inheritance
  fix(openai): use safely_parse_json for streaming tool arguments (#8208)
  feat: add copilot-acp provider (#8154)
  chore(deps): bump path-to-regexp from 8.3.0 to 8.4.0 in /evals/open-model-gym/mcp-harness (#8178)
  ...

# Conflicts:
#	ui/desktop/.gitignore
#	ui/desktop/src/components/Layout/CondensedRenderer.tsx
#	ui/desktop/src/components/Layout/navigation/ChatSessionsDropdown.tsx
#	ui/desktop/src/components/Layout/navigation/SessionsList.tsx
#	ui/desktop/src/components/ParameterInputModal.tsx
#	ui/desktop/src/components/parameter/ParameterInput.tsx
#	ui/desktop/src/components/recipes/RecipeActivityEditor.tsx
#	ui/desktop/src/components/recipes/shared/CreateSubRecipeInline.tsx
#	ui/desktop/src/main.ts
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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.

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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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