The Vault and the Thread

The situation

Following the deployment of our automated evaluation pipeline, a high-value creator reported a frustrating failure on Ticket CN-AI-1102: our negotiation agent completely forgot terms agreed upon yesterday regarding deliverables, while an ongoing VIP brand partnership thread crashed from context window overflow (240,000 tokens). Maya, Amara, and Priya guide the learner through escaping statelessness and context bloat. The learner builds a production-grade tiered memory architecture: sliding-window conversation compaction with rolling summaries, semantic long-term memory retrieval with temporal recency decay, structured entity knowledge graphs with automatic timestamp conflict resolution, and a hierarchical memory manager that strictly enforces inference token budgets.

What you'll learn

• Recent-message buffers: slice a positive-size window, append evicted text and identify unbounded history growth and overflow cases.
• Semantic vector memory: cosine similarity search, chunk retrieval, and temporal recency decay curves.
• Structured entity memory: entity profile extraction, key-value state, and temporal conflict resolution.
• Context assembly: reserve mandatory content, rank optional memories and distinguish word estimates from a hard whole-request tokenizer-aware budget.

Who you work with

• 

  Maya Chen

  Senior AI Engineer · Your mentor

• 

  Priya Naidoo

  Cloud Architect

• 

  Amara Okafor

  ML and Data Engineer

• 

  Lydia Roe

  Security Engineer

• 

  Leo Martins

  Product Manager

• 8-BIT

  Code Nexus Internal AI Assistant

Scenes

1. 1.The Amnesiac Agent
2. 2.Episodic Buffer Compaction and Rolling Summaries
3. 3.Semantic Vector Memory with Temporal Decay
4. 4.Structured Entity Store and Conflict Resolution
5. 5.Hierarchical Memory Manager and Token Budgeting
6. 6.Mission Debrief: Production Long-Term Agent Memory

What you leave with

You implemented local memory helpers: recent-message slicing with accumulated evicted text, age-discounted similarity ranking, timestamp/confidence conflict rules and priority-based optional context selection. The reference does not generatively summarise, enforce a total token bound when mandatory text overflows, authenticate updates or provide durable private multi-session storage. Keep those limits with the result.