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feat(evolution): add self-evolution subsystem
Add a self-evolution subsystem that reviews idle conversations in an isolated agent and durably learns from them — patching/creating skills, finishing unfinished tasks, and backfilling missed memory. - Trigger: background idle scan, fires when a session is idle >= N min AND (>= N turns OR context usage > 80%). In-memory cursor reviews only new messages so a session never re-learns old content. - Isolated review agent: same model, restricted toolset, hard write-guard confining edits to the workspace (built-in skills are protected). - Safety: file-level backup before edits + evolution_undo tool; notify the user ONLY when a workspace file actually changed (no-nag rule); capped concurrency. - Records to memory/evolution/<date>.md, surfaced in the memory UI's renamed "Self-Evolution" tab (merged with dream diaries). - Hide internal [SCHEDULED]/[EVOLUTION]/backup_id markers from chat history display (also fixes scheduler marker leakage) while keeping them in stored content for undo. - Flat config: self_evolution_enabled (default off until release), self_evolution_idle_minutes (15), self_evolution_min_turns (6). - Tests: tests/test_evolution.py (stub + real model modes, 7 scenarios).
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@@ -14,6 +14,9 @@ from agent.tools.send.send import Send
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from agent.tools.memory.memory_search import MemorySearchTool
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from agent.tools.memory.memory_get import MemoryGetTool
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# Import self-evolution tools
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from agent.tools.evolution_undo.evolution_undo import EvolutionUndoTool
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# Import tools with optional dependencies
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def _import_optional_tools():
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"""Import tools that have optional dependencies"""
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@@ -135,6 +138,7 @@ __all__ = [
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'Send',
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'MemorySearchTool',
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'MemoryGetTool',
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'EvolutionUndoTool',
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'EnvConfig',
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'SchedulerTool',
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'WebSearch',
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