- Remove Zep Cloud dependency entirely (zep_entity_reader, zep_graph_memory_updater, zep_tools, zep_paging)
- Add local SQLite-based graph store with LLM-powered entity extraction
- Add local embeddings utility and graph tools service
- Translate all backend docstrings, LLM prompts, and UI to English
- Set English as default language, remove Chinese locale (zh.json)
- Add Ollama setup guide and configure .env.example for Ollama
- Add AGENTS.md for AI agent context
- Fix pyright type errors in models/services
- Add Nedbank Africa expansion preset
- Clean up Docker configuration and README
- Eliminated unnecessary warnings suppression related to multiprocessing resource tracking in `run.py` and `run_parallel_simulation.py`, streamlining the code and reducing potential confusion.
- This change enhances clarity in logging by allowing relevant warnings to be displayed during execution, improving traceability and debugging capabilities.
- Added signal handling to gracefully manage shutdown events across simulation scripts, ensuring proper cleanup of resources.
- Introduced a global shutdown event to allow simulations to respond to termination signals, improving robustness.
- Suppressed warnings related to multiprocessing resource tracking to avoid unnecessary log clutter during execution.
- Updated cleanup logic in `SimulationRunner` and `ZepGraphMemoryManager` to prevent redundant calls and ensure efficient resource management.
- Enhanced logging to provide clearer feedback during shutdown processes, improving traceability.
- Updated `run.py` to conditionally print startup information only in the reloader process to avoid duplicate logs in debug mode.
- Modified `__init__.py` to log startup and completion messages based on the reloader process condition.
- Added warnings suppression in `graph_builder.py` for Pydantic v2 regarding Field usage.
- Revised `ontology_generator.py` to enforce strict design guidelines for entity types and relationships, ensuring compliance with new requirements.
- Improved logging behavior in `logger.py` to prevent log propagation to the root logger, avoiding duplicate outputs.
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