July 13, 2026 · TormentNexus Team
Human brains have working memory and long-term memory. AI agents need the same split. TormentNexus implements this as L1 (fast, volatile scratchpad) and L2 (persistent, searchable vault).
L1 is the agent working memory — fast, in-process, and ephemeral. It holds the current conversation context, intermediate reasoning steps, and scratch calculations. When the session ends, L1 clears.
L2 is where permanence lives. Every memory entry has content, tags, category, importance score, and a heat score that decays over time. The vault uses SQLite with FTS5 for full-text search and vector embeddings for semantic similarity.
The Memory Harvester agent periodically scans L1 contents and extracts high-value memories for L2 storage. It identifies patterns worth keeping: architecture decisions, bug fixes, user preferences.
Without L1, agents are slow — every piece of context requires a database query. Without L2, agents are forgetful — everything vanishes at session end. Together, they give agents the speed of working memory with the durability of long-term storage.