On Device AI Agents
On Device AI Agents are small smart programs that run on phones, laptops, or local servers instead [Read more]
WebMCP Standard: The New Open Web Standard for Browser‑Based AI Agents
The WebMCP Standard is an open web standard that lets browser‑based AI agents call JavaScript functions directly on a site. It improves speed,, and developer experience by providing a typed, structured API.
LLM Self Training Guide
A step by step guide to llm self training that covers memory-first workflows, embeddings, safety checks, and tools like OpenCrabs and Neura ACE.
OpenCrabs 0.3.19 Release: New Features for Self‑Hosting AI Agents
OpenCrabs 0.3.19 brings native OAuth for Codex, an external embedding API, and a lightweight memory mode for VPS. The release is ideal for developers, researchers, and small businesses that want to run AI agents on their own servers.
Self Adapting LLMs
A clear guide on self adapting llms that explains how models learn at runtime, safety checks to add, and a step by step plan to run safe updates.
subquadratic models
A clear guide to subquadratic models, why they matter, and how to test and build systems that handle very long AI inputs.
Agentic Workflows Guide
A clear guide to Agentic Workflows covering design, tools, safety, and scaling. Includes a checklist and examples to get started.
Qwen 3.7-Max-Preview: 1M Token Context Window Explained
Qwen 3.7‑Max‑Preview introduces a 1M token context window, enabling large‑scale text processing and smarter AI workflows.
1M context AI models
A practical guide to using 1M context AI models for long running agents and deep document work. Includes patterns, architecture, and a step by step build plan.