Karpathy: "Claws" Are a New Layer on Top of LLM Agents

Karpathy Names a New AI Stack Layer: Claws

Andrej Karpathy recently bought a Mac Mini to tinker with a new generation of AI agent systems. In a mini-essay on X (Twitter), he introduced terminology that Simon Willison believes will stick: "Claws".

What Are Claws?

According to Karpathy, Claws represent a new architectural layer that sits on top of LLM agents, much like LLM agents themselves were a new layer on top of base LLMs. This layer provides:

Orchestration: coordinating multiple agents and tasks
Scheduling: automatically queuing and running tasks
Context management: maintaining persistent memory across sessions
Tool calls: integrating external tools and APIs
Persistence: maintaining long-term state

A Growing Ecosystem

Karpathy notes that an ecosystem is already emerging: NanoClaw (core engine ~4,000 lines of code), nanobot, zeroclaw, ironclaw, and picoclaw. The category's unofficial emoji is 🦞.

Simon Willison observes that "Claw" is becoming a term of art for the entire category of OpenClaw-like systems — AI agents that run on personal hardware, communicate via messaging protocols, and can both respond to direct instructions and schedule tasks autonomously.

Significance

This follows Karpathy's earlier coinage of "vibe coding" and "agentic engineering," both of which achieved widespread adoption. The Hacker News discussion gathered 285 points, reflecting significant developer interest in this evolving layer of the AI stack.

LLM Reddit 3d ago 2 min read

r/LocalLLaMA Spots a Concrete Overnight Loop for Autonomous LLM Research

A popular r/LocalLLaMA thread points to karpathy/autoresearch, a small open-source setup where an agent edits one training file, runs 5-minute experiments, and iterates toward lower validation bits per byte.

#[#"#a

LLM sources.twitter 3d ago 2 min read

Karpathy open-sources autoresearch for autonomous single-GPU nanochat experiments

Andrej Karpathy has published autoresearch, a minimal repo that lets AI agents iterate on a stripped-down nanochat training loop overnight. The project turns agent evaluation into a closed-loop research workflow with fixed 5-minute runs, Git branches, and validation-loss-based selection.

#[#"#k

LLM sources.twitter 6d ago 1 min read

OpenAI unveils Codex Security in research preview

OpenAI announced Codex Security on X on March 6, 2026. Public materials describe it as an application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence and less noise.

#[#"#o