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ba777ed706
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).
20 lines
614 B
Python
20 lines
614 B
Python
"""
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Self-evolution subsystem for CowAgent.
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Runs a lightweight, isolated review pass after a conversation goes idle to
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decide whether anything is worth durably learning (memory / skill) or whether
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an unfinished task can be pushed forward. Conservative by design: most
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conversations should produce no change at all.
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Public entry points:
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from agent.evolution import get_evolution_config
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from agent.evolution.trigger import start_evolution_trigger, note_user_turn
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"""
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from agent.evolution.config import EvolutionConfig, get_evolution_config
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__all__ = [
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"EvolutionConfig",
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"get_evolution_config",
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]
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