* feat(cursor): add support for Cursor Agent CLI integration
- Introduced new command `hapi cursor` to start Cursor Agent sessions.
- Added functionality for resuming sessions and managing permission modes.
- Updated documentation to include Cursor Agent usage and installation instructions.
- Enhanced existing codebase to accommodate Cursor as a recognized agent flavor.
- Implemented local and remote session handling for Cursor Agent.
This update expands HAPI's capabilities by integrating support for the Cursor Agent, allowing users to leverage its features alongside existing agents.
* Remove TODO.md file as it is no longer needed following the integration of Cursor Agent CLI support. This cleanup helps streamline project documentation and reflects the completion of the associated tasks.
* feat(cursor): implement remote mode and fix --hapi-starting-mode
- Consume --hapi-starting-mode in cursor command (do not forward to agent)
- Implement cursorRemoteLauncher: spawn agent -p with stream-json, --trust
- Add cursorEventConverter for NDJSON parsing (system/assistant/tool_call/result)
- Multi-turn via --resume session_id
- Update docs: cursor supports both local and remote modes
Made-with: Cursor
* fix: type error
* fix(cursor): address PR review - model UI, sessionId metadata, duplicate flags
- HappyComposer: use isClaudeFlavor for model mode (cursor has no model modes)
- cursorLocalLauncher: call onSessionFound for resume so cursorSessionId in metadata
- cursorCommand: do not forward parsed flags to cursorArgs (avoid duplicates)
Made-with: Cursor
Add a new ModelSelector component that allows users to choose specific model variants for different AI agents. This includes:
- ModelSelector UI component with agent-specific model options
- Model parameter propagation through API, RPC, and spawning layers
- Support for auto model selection (default behavior)
- Localization strings for English and Chinese
- Type definitions for model options per agent
Implement comprehensive worktree session support allowing users to spawn sessions in temporary git worktrees. Includes backend worktree management, full-stack integration, and refined UI for session type selection.
Backend:
- Add worktree creation/removal utilities with branch management
- Track worktree metadata (basePath, branch, name, path) in session metadata
- Automatic cleanup of worktrees when sessions fail or exit
- Enhanced error handling with stderr tail logging
UI improvements:
- Redesign session type toggle with improved alignment and spacing
- Move worktree description inline with label for cleaner layout
- Add branch name input field that appears when worktree mode selected
- Auto-focus on worktree input when switching modes
- Reduce gap between radio options from gap-3 to gap-1.5
- Update descriptive text and placeholders for clarity
Integration:
- Thread worktree parameters through API client, RPC handlers, and daemon
- Add worktreeEnv utility to read worktree info from environment
- Update session spawning to support both simple and worktree modes
Implements comprehensive ACP backend enabling integration with ACP-compliant agents like Gemini. Includes stdio transport, message handling, permission flow, and registry for agent management. Adds new 'hapi gemini' command to launch ACP agent sessions.
Replace manual state management with TanStack Query (React Query) for more robust server state handling. This refactoring introduces:
- New hooks for queries: useSessions, useSession, useMessages, useMachines
- New hooks for mutations: useSendMessage, useSessionActions, useSpawnSession
- Centralized query client with optimized configuration (5s staleTime, disabled window focus refetch)
- Query key factory for consistent cache invalidation
- Improved message synchronization via socket events with cache updates
- Optimistic updates for message sending with retry capability
- Simplified App.tsx by removing manual state management logic
- Integrated React Query devtools in development mode
This enables automatic cache management, better error handling, and a foundation for more sophisticated data fetching patterns.
