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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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@@ -347,11 +347,14 @@ class AgentStreamExecutor:
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Returns:
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Final response text
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"""
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# Log user message with model info
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# Log user message with model info. Truncate very long messages (e.g.
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# injected transcripts / large prompts) so logs stay readable.
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thinking_enabled = self._is_thinking_enabled()
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thinking_label = " | 💭 thinking" if thinking_enabled else ""
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logger.info(f"🤖 {self.model.model}{thinking_label} | 👤 {user_message}")
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_log_msg = user_message if len(user_message) <= 500 else (
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user_message[:500] + f" …(+{len(user_message) - 500} chars)"
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)
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logger.info(f"🤖 {self.model.model}{thinking_label} | 👤 {_log_msg}")
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# Add user message (Claude format - use content blocks for consistency)
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self.messages.append({
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