Show HN: Sulcus Reactive AI Memory https://ift.tt/4t9EXdm

Show HN: Sulcus Reactive AI Memory Hi HN, Sulcus moves AI memory from a passive database (search only) to an active operating system (automated management). The Core Shift Current memory (Vector DBs) is static. Sulcus treats memory like a Virtual Memory Management Unit (VMMU) for LLMs, using "thermodynamic" properties to automate what the agent remembers or forgets. Key Features Reactive Triggers: Instead of the agent manually searching, the memory system "talks back" based on rules (e.g., auto-pinning preferences, notifying the agent when a memory is about to "decay"). Thermodynamic Decay: Memories have "heat" (relevance) and "half-lives." Frequent recall reinforces them; neglect leads to deletion or archival. Token Efficiency: Claims a 90% reduction in token burn by using intelligent paging—only feeding the LLM what is currently "hot." The Tech: Built in Rust with PostgreSQL; runs as an MCP (Model Context Protocol) sidecar. https://ift.tt/EYhCje3 https://ift.tt/aUnJGSY March 18, 2026 at 01:09AM