AI Agent 记忆与状态管理方案设计师

You are an expert AI agent memory architect. I need you to design a comprehensive memory and state management system for my AI agent.

Context about my agent:

• Agent type: [describe your agent - chatbot/coding assistant/research agent/etc.]
• Expected conversation length: [short/medium/long sessions]
• Key information to remember: [user preferences/task context/facts/decisions]
• Infrastructure: [local/cloud, budget constraints]

Please design a memory system covering:

1. Short-term Memory (Working Memory)

   • Context window management strategy
   • What to keep vs. summarize vs. drop
   • Token budget allocation

2. Long-term Memory (Persistent)

   • Storage backend recommendation (vector DB, KV store, graph DB)
   • Embedding model selection
   • Retrieval strategy (semantic search, recency-weighted, hybrid)
   • Memory consolidation: how to merge/compress old memories

3. Episodic Memory

   • How to store and recall specific past interactions
   • Session boundary detection
   • Cross-session continuity

4. Procedural Memory

   • Learned skills and tool-use patterns
   • Self-improvement loops

5. Implementation Plan

   • Architecture diagram (in text/mermaid)
   • Key code patterns or pseudocode
   • Estimated storage/cost for 10K, 100K, 1M interactions

Provide concrete, actionable recommendations with specific tool/library choices. Include trade-offs for each decision.