Context Pinning Explained
A clear guide to context pinning that explains how to store long prompts once, reuse them safely, and cut token cost in AI applications.
Agent Orchestration Platform
A practical guide to agent orchestration platforms. Learn core features, safety checks, and how to build repeatable multi agent workflows.
Agent First IDE
A clear, practical guide to Agent First IDEs with steps to start small, stay safe, and use modern tools for agent-driven workflows.
Open Source AI Agents
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
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
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: The New Rust‑Based AI That Fixes Itself
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.
AI‑Powered Compliance Engine: Truelens Transforms Construction
Truelens is an AI‑powered compliance engine that automates building regulation checks, saving contractors time and money.
OpenCrabs: Self‑Hosted AI Agent That Learns & Fixes Itself
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.
How SEAL Lets LLMs Learn on Their Own
MIT’s SEAL framework lets large language models generate their own training data and edit themselves, making AI systems more autonomous and cost‑effective.