herclaw-agentsystem

from scripts import MemoryManager, PatternRecorder
Initialize
memory = MemoryManager()
recorder = PatternRecorder()
Record experience
memory.add_episode(
    user_input="Analyze this document",
    context={"file": "report.pdf"},
    actions=["load", "extract", "analyze"],
    outcome="Success"
)
Detect patterns
patterns = recorder.detect_patterns()
for pattern in patterns:
    print(f"Pattern: {pattern.name}, Success: {pattern.success_rate}")

learning_loop:
  enabled: true
  min_experiences_for_pattern: 5
  pattern_threshold: 0.7
  
skill_creation:
  enabled: true
  min_occurrences: 3
  
self_evolution:
  enabled: true
  reward_weights:
    task_completion: 1.0
    user_satisfaction: 0.8
    efficiency: 0.5
    
persistent_memory:
  enabled: true
  episodic:
    max_episodes: 100000
  semantic:
    min_confidence: 0.6
  user_model:
    preference_decay_days: 90
  vector_db:
    type: "chromadb"
    persist_directory: "./memory"
    
nudge_system:
  enabled: true
  max_scheduled: 100