Blog
Notes on models, agents and context
Guides and explainers from the ORUSH team on models, agents and context.

ZeroClaw: The AI Agent You've Probably Never Heard Of
ZeroClaw is the ultra-lightweight, Rust-based autonomous agent runtime you’ve probably never heard of, but absolutely need to know about.
Alex Rivera

What is Anthropic’s 'Claude Mythos Preview'?
Anthropic’s release of the Claude Mythos Preview marks a historic shift in artificial intelligence, moving from general assistance to specialized, agentic cybersecurity. Discover how this "security specialist" model is identifying decades-old vulnerabilities.
ORUSH Team

A Guide to LangChain Deep Agents for Multi-Step Workflows
As AI agents tackle increasingly complex, long-horizon tasks, traditional tool-calling loops often buckle under the weight of context bloat and directional drift.
Sarah

Turn Your Website into an MCP Server with WebMCP
Learn how to use WebMCP to expose your frontend functions, state, and UI components as structured tools for LLM agents. Turn your website into a functional participant in the agentic ecosystem.
Alex

Understanding Context Rot in LLMs
As AI conversations grow longer, their "memory" begins to fray. Discover why context rot occurs, how it impacts performance, and the strategies developers use to keep models sharp.
Alex

What is NVIDIA's NemoClaw
NVIDIA NeMoClaw, a framework designed to take the flexible, open-source foundations of OpenClaw and harden them for enterprise-grade applications.
Riad

Why A2A is the 'HTTP of Agents': Solving the Agentic Integration Crisis
To move from isolated bots to a true 'Agentic Web,' we need a universal protocol. Google’s recently announced Agent2Agent (A2A) protocol is designed to be exactly that.
ORUSH Team

How Cloudflare is Cutting Token Costs for AI Agents
For Large Language Models (LLMs), tokens are the currency. Every word the AI reads or writes costs a fraction of a cent. While that sounds cheap, these costs add up fast.
Alex

The New Efficiency King: Scaling AI with Gemini 3.1 Flash-Lite
With the release of Gemini 3.1 Flash-Lite, Google has effectively moved the goalposts. This model isn't just an incremental update, it's a surgical strike on the overhead costs of high-volume AI applications.
Alex Rivera

Building an Interoperable Agent: A Guide to MCP and A2A Hooks
In 2026, the industry has shifted. We are moving toward Interoperability, the ability for agents to plug into data via the Model Context Protocol (MCP) and talk to other agents via Agent2Agent (A2A) Hooks.
Ziad

Why High-Performance AI Agents Like OpenClaw are 'Token Hungry'
We explore why the real differentiator for powerful AI workflows isn't the model's raw intelligence, but its ability to hold and utilize context.
ORUSH Team

AI Agents: Diagnosing and Curing 'Context Rot'
As we move from single-turn prompts to autonomous agents, the biggest threat to reliability is context rot. Here is how to fix it.
Dr. Elena Rostova

The Future of Multi-Model AI Productivity
Why using multiple AI models in a single conversation is the next leap in productivity and how ORUSH makes it seamless. Read more...
ORUSH Team

Why Context Engineering is the New OS for Agentic AI
In 2024, we obsessed over prompts. In 2026, we build information conduits. Discover why context engineering has become the fundamental operating system for the next generation of AI agents.
Ziad

Why Context is King in AI Chat
We explore why the real differentiator for powerful AI workflows isn't the model's raw intelligence, but its ability to hold and utilize context.
Ziad

A Developer's Guide to Choosing the Right LLM
Not all LLMs are created equal. Here is our technical breakdown on when to use GPT-5, Claude 4.6 Opus, Gemini 3.1 Pro, and the latest Llama 4.
Alex Rivera

Design Principles for AI Interfaces
Why the standard chat UI is holding AI back, and how we are designing the next generation of intelligent interfaces.
Sarah Chen

The Rise of Specialized Models
General purpose AI is great, but the future belongs to highly specialized, domain-specific models like Med-PaLM and AlphaFold.
Dr. Elena Rostova