The Problem

Every agentic memory startup is an LLM wrapper, burning tokens just to store, retrieve, reason. Wrapper products get disrupted from below. The world can't afford LLM inception.

Eliminate the token tax and agents get memory, coordination, and compliance by construction.

Wunderblock

Hyperdimensional Computing—Kanerva, Sparse Distributed Memory, Stanford / NASA, 1988.

 Vector Symbolic Architecture  —  16,384-dimensional hypervectors (BSC)

 BIND       ──  XOR            ──  associate two concepts
 BUNDLE     ──  majority vote  ──  superimpose concepts
 RESONATE   ──  popcount       ──  measure similarity

 No LLM in the critical path. Single-cycle SIMD on commodity CPUs.

 ─────────────────────────────────────────────────

 The Pentad — ⬠(S, P, O, C, L)

 Subject    ──  who or what        ──  :vendor_x
 Predicate  ──  what relation      ──  :submitted_invoice
 Object     ──  to whom / what     ──  :$50,000
 Context    ──  under what scope   ──  :q4_2025
 Lineage    ──  proven by what     ──  :erp_sync_agent

The Moat

Agentic Memory is a monoculture where they all just discovered knowledge graphs. I built the category leader and know where it breaks.

The only path from KG-Vector-SQL to VSA is starting over.

High-level AI meets HFT-level systems engineering. Zig + Gleam (Erlang/OTP/BEAM). Lockless. Cache-aligned.

Velocity

• ~93% on LoCoMo (long-conversation memory benchmark) Fastest recorded run time by 25x. Zero LLM calls.
• 10-hop knowledge graph query in 200μs On CPU. No index warm-up. No network round-trips.