<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>NeuronPing</title><description>NeuronPing is a website about AI and agentic AI. Read here how AI agents work, and get better with them.</description><link>https://neuronping.com/</link><language>en</language><item><title>What is an agent harness? How it works, its parts and use cases</title><link>https://neuronping.com/topics/what-is-an-agent-harness/</link><guid isPermaLink="true">https://neuronping.com/topics/what-is-an-agent-harness/</guid><description>Learn what an agent harness is, how its loop runs a task and what its parts are: context, tools and permissions, what is kept between sessions, and hooks. Tests by OpenAI and Anthropic show how much a harness changed a model&apos;s results, and both companies describe harnesses for particular kinds of work.</description><pubDate>Sun, 08 Nov 2026 00:00:00 GMT</pubDate><category>Agent Harness</category><category>AI Agent</category></item><item><title>Keyword, semantic and knowledge graph search: hybrid search explained</title><link>https://neuronping.com/topics/keyword-semantic-and-knowledge-graph-search/</link><guid isPermaLink="true">https://neuronping.com/topics/keyword-semantic-and-knowledge-graph-search/</guid><description>Keyword search, semantic search and knowledge graph search are three ways to retrieve data for an LLM or an AI agent. This guide covers how each one works, how they differ, how hybrid search combines them with rank fusion and a reranker, and the best use cases for each.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>Hybrid Search</category><category>Knowledge Graph</category><category>AI Agent</category></item><item><title>Sigmoid and softmax functions: how they work and when to use each</title><link>https://neuronping.com/topics/sigmoid-and-softmax-functions/</link><guid isPermaLink="true">https://neuronping.com/topics/sigmoid-and-softmax-functions/</guid><description>Sigmoid and softmax turn the scores of a classifier into probabilities. The sigmoid turns one score into a probability between 0 and 1. The softmax turns several scores, one per class, into probabilities that sum to 1. This article explains both with formulas and examples, and shows when to use each.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>Sigmoid</category><category>Softmax</category><category>Transformer</category></item><item><title>What is Hindsight? Agent memory, knowledge graph and use cases</title><link>https://neuronping.com/topics/what-is-hindsight-agent-memory/</link><guid isPermaLink="true">https://neuronping.com/topics/what-is-hindsight-agent-memory/</guid><description>Hindsight is a memory system for AI agents. This guide explains why agents need memory, why entities and a knowledge graph help, how the operations retain, recall and reflect work, how Hindsight differs from RAG, and its use cases.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>Hindsight</category><category>Agent Memory</category><category>Knowledge Graph</category></item><item><title>What is MCP (Model Context Protocol)? How it works and its use cases</title><link>https://neuronping.com/topics/what-is-mcp/</link><guid isPermaLink="true">https://neuronping.com/topics/what-is-mcp/</guid><description>MCP, the Model Context Protocol, connects AI applications such as Claude, ChatGPT and AI agents to tools and data. This guide covers how MCP works, its architecture, how it differs from an API, its use cases and its limits.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>MCP</category><category>AI Agent</category></item><item><title>AI workflows and agent skills: what they are and how to use them</title><link>https://neuronping.com/topics/ai-workflows-and-agent-skills/</link><guid isPermaLink="true">https://neuronping.com/topics/ai-workflows-and-agent-skills/</guid><description>This guide explains what AI workflows and agent skills are, how they differ, how to choose, and how real systems use the two together.</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>AI Workflow</category><category>Agent Skill</category><category>AI Agent</category></item><item><title>What is Hermes Agent? How it works, its structure and use cases</title><link>https://neuronping.com/topics/what-is-hermes-agent/</link><guid isPermaLink="true">https://neuronping.com/topics/what-is-hermes-agent/</guid><description>Hermes Agent is an open-source AI agent from Nous Research that runs on your own computer or server, uses tools to carry out tasks and remembers what it learned. This guide explains why to use it, its folder structure, how it works and learns, cron jobs, limits and use cases.</description><pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate><category>Hermes Agent</category><category>AI Agent</category><category>Agent Skill</category></item><item><title>Jev explained: LLMs write answers, Jev scores your options</title><link>https://neuronping.com/topics/jev-explained/</link><guid isPermaLink="true">https://neuronping.com/topics/jev-explained/</guid><description>Jev is TypeSafe&apos;s AI model for decisions, not for writing. You give it a text and questions with fixed answer options, and it tells you how likely each option is.</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>Jev</category><category>LLM</category><category>AI</category></item></channel></rss>