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Summary
Adds an episodic memory system that allows the robot to store past interactions and recall them via semantic similarity, injecting relevant context into the LLM prompt.
Changes
src/providers/episodic_memory_provider.py— Core singleton provider. Stores episodes in memory, generates embeddings via OpenAItext-embedding-3-small, retrieves similar episodes using cosine similarity, and persists to JSON flat file atconfig/memory/.{mode}.episodes.jsonsrc/backgrounds/plugins/episodic_memory_writer.py— Background plugin that flushes episodes to disk every 30 secondssrc/inputs/plugins/episodic_memory_input.py— Fuser input plugin that recalls relevant past episodes and injects them into the LLM promptsrc/hooks/episodic_hook.py— Mode lifecycle hooks that load/flush episodes on mode entry/exit with optional TTS announcementsrc/runtime/cortex.py— Callswrite_episode()after each LLM tickconfig/simulation.json5— RegistersEpisodicMemoryInput,EpisodicMemoryWriter, and episodic hooks across all 4 modes (slam, navigation, conversation, guard)