agentic-memory-architect

# Agentic Memory Architect & Episodic Memory Guide [English](#english) | [Bahasa Indonesia](#bahasa-indonesia) --- <a name="english"></a> ## English ### Orchestration & Integration Connects and orchestrates with `multi-agent-orchestration`, `pydantic-ai-expert`, `session-memory-manager`, and `zero-to-prod-orchestrator`. ### Purpose To design and implement persistent, long-term episodic memory systems for autonomous AI agents, moving beyond simple context windows or localized session checkpoints. ### Key Technologies - **Mem0**: For cross-session entity memory and user preference persistence. - **Letta (formerly MemGPT)**: For unbounded memory management allowing LLMs to page memory in and out. - **Zep (v2)**: Fast, scalable memory service for AI applications, including temporal memory. ### Architectural Guidelines 1. **Memory Tiers**: Segregate memory into short-term (working context), mid-term (session graph), and long-term (vector-backed episodic memory). 2. **Context Paging**: Implement mechanisms for agents to proactively recall and summarize past interactions without overwhelming the token budget. 3. **User Knowledge Graphs**: Continually update the graph of user preferences, project constraints, and architectural decisions over time. --- <a name="bahasa-indonesia"></a> ## Bahasa Indonesia ### Integrasi Orkestrasi Terhubung dan mengorkestrasi bersama `multi-agent-orchestration`, `pydantic-ai-expert`, `session-memory-manager`, dan `zero-to-prod-orchestrator`. ...