- Keep errored AI sessions retryable in the session store and add backend retry handlers for planning, subtask breakdown, and mission interview flows
- Add retry API routes and dashboard API client helpers for planning, subtask, and mission interview session retries
- Update PlanningModeModal, SubtaskBreakdownModal, MissionInterviewModal, and background session handling to show error states with retry/cancel UX
- Expand unit and integration tests across store, services, routes, and modal components to cover retry success and failure paths
- Add recoverable-session querying in AiSessionStore and cover it with targeted store tests
- Persist resume context (ip, initial plan, mission metadata) and rebuild planning/subtask/mission sessions from SQLite rows
- Rehydrate recoverable sessions at server startup and resume planning/mission interviews by recreating agents with replayed conversation context
- Update API flows to pass project root context and clean in-memory sessions when persisted sessions are deleted, with comprehensive regression tests
- Add a shared SSE event buffer utility and wire it into planning, subtask, mission interview, and task stream routes
- Support Last-Event-ID replay semantics and robust event serialization so clients can recover missed stream events
- Add a resilient client-side reconnect wrapper and surface reconnecting state in planning, subtask breakdown, and mission interview modals
- Expand test coverage across API routes, SSE buffering behavior, reconnect handling, and mission/planning stream flows
