In 2026, Hermes and OpenClaw are the two most-starred open-source AI agent frameworks on GitHub. A comparison article by WanjohiChristopher analyzes their features, performance, and community support …
The article summarizes tests of Multi-Token Prediction (MTP) on Qwen 3.6 27B and 35B models using a 16GB RTX 4080 GPU. For the 27B model, MTP at a draft depth of 2 provided a 67% speed increase (75 t/…
The article describes an AI tool called the Hermes Local Business Web Scanner, built by a web design agency owner, that automatically identifies technical issues on local business websites—such as slo…
The article describes Hermes Agent as the first AI framework designed specifically for platform engineers, featuring a three-layer memory architecture that automatically builds "runbook libraries" by …
The article explains how large language models (LLMs) are inherently stateless, forgetting all information after each interaction, which prevents them from improving over time. To solve this, the auth…
The article argues that most current AI agents suffer from "amnesia," resetting with no memory of past interactions each session, which forces users to constantly re-establish context and preferences.…
The article explains that Hermes Agent is an open-source AI system that avoids the common failure of forgetting user context between sessions by implementing four distinct memory systems, mirroring th…
The Hermes Agent Assistant is a modular AI agent system that breaks down user tasks into structured steps using a dedicated planner, executes them sequentially via an executor, utilizes targeted tools…
Here is a factual summary of the article: The article introduces Hermes Agent by Nous Research, an autonomous AI agent designed to solve the problem of "stateless" AI systems that have no memory of p…
The article describes an experiment where the author tested the AI agent "Hermes Agent" on real-world tasks like research, summarization, and workflow planning for 24 hours. Unlike typical chatbots, t…
The article describes how exploring the open-source Hermes Agent changed the author's perspective on AI, moving beyond simple chatbots to systems that can reason, plan, and take action. The author app…
The article describes a prototype integration between Hermes Agent and .klickd, an open portable memory format for AI agents, designed to reduce repeated context costs by allowing agents to load struc…
The article argues that typical AI agents are not truly autonomous because they lack memory and cannot learn from mistakes, functioning instead as stateless systems. It introduces Hermes, an open-sour…
The article describes the development of "Door," a web-based user interface for Garage, a self-hosted S3-compatible object store. The author created Door to solve the friction of using command-line to…
Based on the article, Hermes Agent is a persistent, self-improving AI agent developed by Nous Research that builds a growing library of reusable skills and maintains long-term memory across sessions, …
The article outlines a four-level framework for scaling AI agent usage, starting with a single Hermes Agent instance for prototyping and workflow refinement. It warns against prematurely adopting comp…
Model Context Protocol (MCP) tool stack, which integrates 13 specialized servers offering approximately 180 tools for an AI-native development workflow. These servers cover a wide range of functions i…
To integrate Hermes, an open-source AI agent by Nous Research, with Lynkr, a self-hosted Node.js proxy that routes requests to various LLM providers. Lynkr enables automatic cost-tier routing based on…
Limitations of stateless AI systems, which require feeding entire conversation histories into each new request, and introduces the concept of stateful AI agents that maintain persistent memory and sel…
Hermes Agent, an open-source, self-improving AI agent by Nous Research, can function as a persistent "AI Ops Employee" for small SaaS products or indie developers. Unlike standard chatbots, Hermes ope…