Memberra
The control layer that decides whether an AI agent's action is allowed.
Checks
Decides
Controls
Scroll to explore
Introduction
Before an AI system acts, something has to decide if it's allowed — Memberra is that decision.
What is memberra
We Built The Control Layer For Autonomous Systems
Memberra sits between AI systems and the actions they take. Before any action executes, Memberra checks it against rules, permissions, and risk constraints — then approves, rejects, or escalates.
Every action passes through Gunner before it executes, no exceptions.
Every decision is logged, traceable & can be reconstructed exactly as it occurred.
Built for the infrastructure layer autonomous systems have been missing.
System Execution Summary
Derived from Execution Ledger
All statistics are generated directly from the Gunner execution ledger across 4,142 closed trades. Every decision can be reconstructed from its original inputs, rule evaluations, and execution results.
Advantages
What Cannot Be Replicated
Most AI systems have no check between intent and action. Memberra embeds validation, risk constraints, and execution rules inside the same architecture. The system is designed for 3 properties that cannot be retrofitted.
Deterministic Decisions
Decisions are deduced from structured rules rather than predicted by probabilistic models. Every action traces to a defined rule and input state.
Risk Engine
Risk constraints are evaluated before execution. Exposure limits, position sizing, and stop conditions are embedded directly in the architecture.
Full Action Replay
Every decision produces a complete execution record. Inputs, rule triggers & execution steps are logged so any action can be reconstructed exactly as it occurred.
How &
Why The Architecture Matters
Gunner operates as the decision validation layer between autonomous systems and real-world actions. Trading is the first application. Every other domain where AI agents act, software, robotics, finance, all need this same layer.
The System Core
Memberra continuously monitors autonomous agents as they gather information and form action proposals — across markets, systems, or any operational domain.
Logical Architecture
Every proposed action is evaluated against deterministic rule systems. Risk constraints, permissions, and execution conditions must all be satisfied before the action is allowed to proceed.
Verifiable Output
Every decision produces a timestamped execution record. Actions can be reconstructed step-by-step to show exactly how and why they occurred. Most AI systems output actions. Gunner outputs decisions with receipts.
Most AI systems output actions. Memberra outputs decisions with receipts.
Integration Model
We Provide the Control Layer. You Own the Actions.
Partners maintain full authority over their systems and capital.
Memberra validates decisions, it does not replace human oversight, it enforces it.
Full execution history and architecture documentation available to verified counterparties under NDA.
FAQ
Your questions, answered with clarity
See what a working AI control layer looks like in practice.
Partners can review the full execution ledger and observe Gunner operating in live markets before any commitment.
