# Example Clawdbot configuration with Cognee memory provider
# Copy to ~/.clawdbot/config.yaml and customize

agents:
  defaults:
    # Use Cognee for knowledge graph memory
    memorySearch:
      enabled: true
      provider: cognee
      sources: [memory, sessions]  # Index both memory files and conversation history

      # Cognee-specific configuration
      cognee:
        # Local Docker setup (default)
        baseUrl: http://localhost:8000

        # For Cognee Cloud, use:
        # baseUrl: https://cognee--cognee-saas-backend-serve.modal.run
        # apiKey: your-api-key-here

        # Dataset name for organizing memories
        datasetName: clawdbot

        # Search mode: "GRAPH_COMPLETION" (recommended), "chunks", or "summaries"
        searchType: GRAPH_COMPLETION

        # Maximum search results to return
        maxResults: 6

        # Automatically process documents after adding (recommended)
        autoCognify: true

        # Batch size for processing multiple documents
        cognifyBatchSize: 100

        # Request timeout in seconds
        timeoutSeconds: 30

      # Enable experimental session memory indexing
      experimental:
        sessionMemory: true

# To use default SQLite memory instead, set:
# agents:
#   defaults:
#     memorySearch:
#       provider: auto  # or "openai", "gemini", "local"