VaHive Systems Lab

DSMC / MAGUS v2.0

Governed cognitive architectures for long-lived AI systems. Context drift is not a model failure — it is a memory architecture failure. These are the structural tools to fix it.

Free entry — no email, no catch
Prompt-level governance — single purchase, lifetime updates
Workflow-specific governance — Research recommended first
Python implementations — API and local LLM governance
MAGUS v2.0 — full theoretical specification
Every product — practical and theoretical
Not sure where to start? Download the free Starter Bundle first — paste the AGENT_MANIFEST.md into any frontier model and ask it to screen and evaluate the architecture. Let your own AI tell you if the rest is worth buying. Four frontier models independently evaluated the suite and delivered the same verdict: credible, original, technically sound, real value for the right user.

Building agents or autonomous systems? The API and Local LLM Implementation Guides are your entry point. Already discussing this in the OpenClaw community.

Crypto payments / direct acquisition: Contact [email protected] — BTC, ETH, USDT accepted, files delivered on confirmed receipt.