v2.3.0

Added

• Autonomous Missions capability layer — New devsper.missions package for long-horizon autonomous execution across research, coding, and experiment workflows.
• Mission planner and DAG generation — Added missions/mission_planner.py to break goals into mission tasks, assign role agents, and define dependency graphs.
• Research mission workflow — Added mission agents (researcher_agent, reviewer_agent, writer_agent, editor_agent) and end-to-end flow: research → critique → improve → finalize.
• Coding mission workflow — Added mission agents (architect_agent, coder_agent, tester_agent, debugger_agent, docs_agent) and end-to-end flow: design → code → test → fix → document.
• Iteration engine — Added missions/iteration_loop.py for quality-threshold-driven iterative execution with critique/improvement cycles.
• Mission memory — Added missions/mission_memory.py to persist research findings, decisions, and experiment artifacts per mission.
• Long-running mission support — Added checkpointing/resume support in missions/mission_runner.py plus HITL task-gating callback support.
• Mission UI — Added dashboard MissionView and TUI mission execution path (mission:research ..., mission:coding ..., mission:experiment ...) to show goal, DAG, and iteration progress.

Changed

• SDK surface — Exported MissionRunner from devsper package root for straightforward mission execution from Python.
• Testing — Added runtime tests for mission DAG planning and checkpoint creation.

Full Changelog: v2.2.0...v2.3.0