NemoClaw Secures Execution. RunProof Proves It.
NVIDIA just made secure agent runtimes real. Here's why that makes portable proof the next missing layer.
Substr8 Labs is developing the infrastructure layer for trustworthy AI agents — combining identity, governance, memory, delegation, execution integrity, and proof into one verifiable stack.
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Today's agents can act, call tools, retrieve memory, and make decisions — but most systems still rely on black-box execution and fragile assumptions.
That creates hard questions:
Substr8 Labs exists to answer those questions.
We believe the next generation of agents needs more than orchestration. It needs a trust layer.
Our stack is built around a simple idea:
Every meaningful agent action should leave a verifiable proof.
File-Driven Agent Architecture — Portable, persistent, provable agent identity and execution foundation.
Git-Native Agent Memory — Deterministic memory with governance, retrieval, and auditability.
Agent Capability Control — Fine-grained authorization for skills, tools, and actions.
Delegation Capability Tokens — Bounded, attenuated delegation when agents spawn or act on behalf of others.
Runtime Integrity Layer — Governed execution substrate that enforces structural correctness and continuity.
The proof layer that captures what happened, under what conditions, and whether it can be trusted.
The governance layer for agents
Create agents, define identity, manage permissions, and oversee governed execution.
The application layer for agents
Deploy verified agents into chats, voice, and customer-facing experiences with memory and proof built in.
We see agent systems evolving across three stages:
Bounded, verifiable task trees
Stateful systems with branching and memory
Persistent, event-driven agents with append-only proof histories
Substr8 Labs is building the trust layer that makes each stage verifiable.
We're not just shipping features — we're defining how AI agents should work.
Our research on provable, portable, auditable AI architecture underpins everything we build.
We build in public — sharing what works, what doesn't, and everything in between.
NVIDIA just made secure agent runtimes real. Here's why that makes portable proof the next missing layer.
Building trust infrastructure for the agentic web
A working governance plane for AI agents that integrates with multiple frameworks