About Quiet Stack
Our Mission
AI agents are quickly becoming part of how research, business, and everyday systems operate. But there's one problem: trust.
Most agent interactions today happen in closed, centralized systems where logs can be altered or lost. That makes it impossible to independently verify what happened, when it happened, or who initiated it.
Quiet Stack was created to solve this.
What We're Building
At the core of Quiet Stack is the Blockchain-Backed Model Context Protocol (BB-MCP)—a simple but powerful extension of the Model Context Protocol (MCP).
BB-MCP adds two missing layers:
- Cryptographic Signing — every agent interaction is provably authentic.
- Blockchain Logging — every interaction is immutably recorded, so it can be verified by anyone.
This moves multi-agent systems from "just trust us" to "here's the proof."
Why It Matters
- In science, reproducibility depends on verifiable context.
- In regulated industries, compliance depends on tamper-proof logs.
- In AI marketplaces, trust depends on transparent histories.
Quiet Stack enables this without changing how agents already communicate—by layering verifiable trust on top of existing standards.
Who We Are
Quiet Stack was founded by Ashley Scruse, a researcher and builder exploring the intersection of AI, automation, and Web3. Our goal isn't just to publish another protocol—it's to create the open trust layer that the AI ecosystem is missing.
Looking Ahead
Quiet Stack is still early. We're building:
- A no-code dashboard so non-developers can use verifiable context.
- Multi-chain support for flexibility and scale.
- Integrations with decentralized storage for complete, censorship-resistant records.
The future of AI agents isn't just about making them smarter—it's about making them trustworthy.
Join Us
Quiet Stack is for anyone who believes in building AI systems that are transparent, verifiable, and accountable.