Fast‑Slow Training is a new training method that keeps AI models from forgetting old tasks while learning new ones. It uses slow weights for core knowledge and fast weights for quick adaptation.
A clear guide to context pinning that explains how to store long prompts once, reuse them safely, and cut token cost in AI applications.
A practical guide to agent orchestration platforms. Learn core features, safety checks, and how to build repeatable multi agent workflows.
A clear, practical guide to Agent First IDEs with steps to start small, stay safe, and use modern tools for agent-driven workflows.
A clear guide to open source ai agents, covering what they are, security, architecture, and a simple plan to start today.
Hermes Agent 0.13.0 introduces a Reflective Phase that lets the agent learn from its own actions, a significant token volume increase, and cleaner reasoning markers. These updates make the agent faster, smarter, and easier to integrate into real‑world projects.
Long Context Models let AI handle much larger text windows. This guide explains SubQ, mobile Gemini, Claude Dreaming, benchmarks, and clear steps to adopt long memory.
OpenCrabs self‑healing agent now supports video vision, auto‑JSON repair, and a new skill system. Learn how this Rust‑based AI can fix itself and run on any channel.
Truelens is an AI‑powered compliance engine that automates building regulation checks, saving contractors time and money.
OpenCrabs is a self‑hosted AI agent that learns and fixes itself. Built in Rust, it runs locally, keeps data private, and can auto‑generate new skills.