July 13, 2026 · TormentNexus Team
Most AI agents lose everything when they crash. Session context, learned patterns, user preferences — all gone. TormentNexus solves this with a multi-tier memory architecture that persists across restarts.
Every time an AI agent restarts, it starts from zero. No memory of past conversations, no knowledge of previous decisions. This is like hiring a new employee every morning who has never seen your codebase.
TormentNexus implements four memory tiers:
When an agent encounters something worth remembering, it stores a memory entry with content, tags, category, and importance score. The L2 vault uses SQLite with FTS5 full-text search and vector embeddings for semantic retrieval.
Inspired by how human brains consolidate memories during sleep, TormentNexus runs periodic memory maintenance. Memories that lose relevance gradually cool and move to cold archive. Frequently accessed memories stay hot and rank higher in search results.
An agent that remembers. After a restart, the Go Coder agent picks up where it left off — same workspace, same memories, same learned patterns. This is institutional memory that survives across sessions, crashes, and migrations.