BestHub
Sign in
Tagged articles
23 articles
Page 1 of 1
AI Step-by-Step
AI Step-by-Step
Apr 29, 2026 · Artificial Intelligence

Implementing a Harness in Hermes: Tool Registry, Plugin System, and Context Engine

The article dissects Hermes’s extension layer, showing how the Tool Registry converts functions into runtime assets, how AST‑based auto‑discovery and availability checks keep tool lists accurate, and how the unified dispatch, Plugin System, Hook System, and replaceable Context Engine together form a robust, governable agent platform.

Agent FrameworkAuto-discoveryContext Engine
0 likes · 20 min read
Implementing a Harness in Hermes: Tool Registry, Plugin System, and Context Engine
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 24, 2026 · Artificial Intelligence

How Hermes Agent Achieves Self‑Evolution: A Deep Dive into Prompt, Context, and Harness Design

This article provides a detailed technical analysis of Hermes Agent, explaining how its dynamic skill generation and reinforcement‑learning loop enable true self‑evolution, and examines the prompt engineering, context compression, memory architecture, harness mechanisms, error handling, and plugin ecosystem that differentiate it from OpenClaw and Claude Code.

Agent FrameworkHermes AgentPrompt engineering
0 likes · 41 min read
How Hermes Agent Achieves Self‑Evolution: A Deep Dive into Prompt, Context, and Harness Design
CodeTrend
CodeTrend
Apr 11, 2026 · Artificial Intelligence

Inside OpenClaw: Architecture, Core Technologies, and Security Risks

The article provides a detailed technical analysis of the OpenClaw AI‑agent framework, covering its three‑layer architecture, prompt compiler, heartbeat mechanism, file‑based memory, skill system, ReAct loop, model‑agnostic routing, reinforcement‑learning extension, security concerns, and a side‑by‑side comparison with Hermes Agent.

Agent FrameworkOpenClawfile-based memory
0 likes · 13 min read
Inside OpenClaw: Architecture, Core Technologies, and Security Risks
Geek Labs
Geek Labs
Apr 4, 2026 · Artificial Intelligence

Deep Dive into Claude Code Architecture and a Multi‑Agent Orchestration Framework

This article analyzes two open‑source projects—learn‑coding‑agent, which dissects the Claude Code AI programming assistant’s architecture, and open‑multi‑agent, a model‑agnostic framework for orchestrating multiple agents—detailing their features, 12‑layer agent mechanism, code examples, and suitable audiences.

AI coding assistantAgent FrameworkClaude Code
0 likes · 7 min read
Deep Dive into Claude Code Architecture and a Multi‑Agent Orchestration Framework
SuanNi
SuanNi
Mar 20, 2026 · Artificial Intelligence

How XSKILL Lets Multimodal AI Agents Learn Without Updating Parameters

XSKILL introduces a dual‑stream framework that separates task‑level skills stored as Markdown and action‑level experiences stored as JSON, enabling multimodal large language model agents to continuously improve by extracting, summarizing, and reusing knowledge from past trajectories without modifying model parameters, achieving significant gains across visual tool, multimodal search, and integrated benchmarks.

Agent FrameworkMultimodal AIbenchmark evaluation
0 likes · 12 min read
How XSKILL Lets Multimodal AI Agents Learn Without Updating Parameters
AI Explorer
AI Explorer
Mar 18, 2026 · Artificial Intelligence

Unlock Instant AI Agents with LangGraph‑Powered Deep Agents

Deep Agents, an open‑source framework built on LangGraph, bundles planning, file‑system tools, sub‑agent coordination and context management into a ready‑to‑run AI agent that can be launched with three lines of Python code and fully customized for diverse applications.

AI agentsAgent FrameworkDeep Agents
0 likes · 7 min read
Unlock Instant AI Agents with LangGraph‑Powered Deep Agents
AI Tech Publishing
AI Tech Publishing
Mar 10, 2026 · Artificial Intelligence

Agent Frameworks vs. Agent Harness: Understanding the Key Differences

The article explains how Agent Frameworks and Agent Harness occupy different points on an opinionated spectrum, detailing their abstractions, built‑in components, trade‑offs, and when to choose each, with examples like OpenClaw, LangChain, and Deep Agents.

Agent FrameworkAgent HarnessLLM
0 likes · 5 min read
Agent Frameworks vs. Agent Harness: Understanding the Key Differences
AI Engineering
AI Engineering
Feb 21, 2026 · Artificial Intelligence

Why Pi-mono Powers OpenClaw: A Minimalist AI Coding Assistant

Pi-mono is a four‑tool, four‑layer AI coding assistant built by Mario Zechner that replaces bloated agents with a minimalist design, supports dozens of LLM providers, offers a terminal UI, extensible TypeScript plugins, and demonstrates superior benchmark performance in Terminal‑Bench.

AI coding assistantAgent FrameworkBenchmark
0 likes · 13 min read
Why Pi-mono Powers OpenClaw: A Minimalist AI Coding Assistant
AI Engineering
AI Engineering
Jan 18, 2026 · Artificial Intelligence

Why a Single For Loop Powers BU’s Open‑Source Agent Framework

The BU Browser Use team open‑sourced bu‑agent‑sdk, a minimal LLM agent framework that treats the agent as a simple for‑loop and adds explicit done tools, context compression, ephemeral messages, and a unified LLM interface, enabling flexible, low‑overhead AI applications.

Agent FrameworkLLMPython
0 likes · 7 min read
Why a Single For Loop Powers BU’s Open‑Source Agent Framework
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Dec 1, 2025 · Artificial Intelligence

Why ReAct Is the Dominant Framework for Building Reliable AI Agents

The article explains why the ReAct (Reason + Act) framework outperforms simple Chain‑of‑Thought prompting by adding executable actions, environment state awareness, and feedback loops, making large language models into controllable, reproducible, and error‑recoverable agents suitable for real‑world applications and interview discussions.

Agent FrameworkInterview TipsReact
0 likes · 9 min read
Why ReAct Is the Dominant Framework for Building Reliable AI Agents
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Nov 30, 2025 · Artificial Intelligence

How TSci Uses LLMs to Automate End‑to‑End Time‑Series Forecasting

The article reviews the TSci framework, an LLM‑driven multi‑agent system that automates data diagnosis, model selection, ensemble forecasting, and report generation for time‑series prediction, achieving up to 38 % lower MAE than LLM baselines and improving report quality across five evaluation dimensions.

Agent FrameworkLLMTSci
0 likes · 10 min read
How TSci Uses LLMs to Automate End‑to‑End Time‑Series Forecasting
Tencent Cloud Developer
Tencent Cloud Developer
May 8, 2025 · Artificial Intelligence

Advances and Future of AI Agents: Capabilities, Trends, and Applications

AI agents are rapidly evolving toward a 2025 breakthrough in perception, autonomous planning, tool use and memory, driven by multimodal models, neural‑symbolic reasoning and embodied intelligence, with $27 billion investment forecasts, exemplified by general‑purpose agents like Manus and emerging applications in code generation, research, healthcare, and risk analysis.

AI AgentAgent FrameworkAutonomous Planning
0 likes · 12 min read
Advances and Future of AI Agents: Capabilities, Trends, and Applications
Model Perspective
Model Perspective
Feb 5, 2025 · Product Management

How the AGENT Framework Transforms Smart Home Product Decisions

The article introduces the AGENT decision‑making framework, explains its five steps—Assumption, Generation, Evaluation, Nurture, Test—through a detailed smart‑home product development example, and shows how systematic analysis can produce innovative, cost‑effective solutions.

Agent FrameworkInnovationdecision making
0 likes · 10 min read
How the AGENT Framework Transforms Smart Home Product Decisions
DevOps
DevOps
Jan 15, 2025 · Artificial Intelligence

Eko: Open‑Source Agent Framework for Building Production‑Ready Virtual Employees

Eko is an open‑source, cross‑platform agent framework that lets developers combine natural‑language prompts with programming code to create production‑grade virtual employees, featuring mixed agentic representation, environment‑aware architecture, hierarchical planning, visual‑interactive perception, and a multi‑level hook system for safe, controllable automation.

Agent FrameworkProduction Safetyenvironment-aware
0 likes · 8 min read
Eko: Open‑Source Agent Framework for Building Production‑Ready Virtual Employees
DataFunTalk
DataFunTalk
Jan 11, 2025 · Artificial Intelligence

Ragent: Ant Group’s Ray‑Based Distributed Agent Framework

This article introduces Ragent, Ant Group’s Ray‑powered distributed agent framework, covering its background, motivation, design, implementation details, multi‑agent capabilities, and future directions for large‑model AI applications.

AIAgent FrameworkDistributed Agents
0 likes · 14 min read
Ragent: Ant Group’s Ray‑Based Distributed Agent Framework
AntTech
AntTech
Apr 19, 2024 · Artificial Intelligence

AgentUniverse: An Enterprise‑Grade Multi‑Agent Framework for Complex Financial Analysis

The article introduces AgentUniverse, a large‑model multi‑agent framework that orchestrates specialized agents through a PEER collaboration pattern to overcome LLM limitations in complex financial tasks, demonstrates its architecture, workflow, experimental superiority on benchmarks, and provides open‑source installation details.

AIAgent FrameworkMulti-Agent
0 likes · 10 min read
AgentUniverse: An Enterprise‑Grade Multi‑Agent Framework for Complex Financial Analysis
Sohu Tech Products
Sohu Tech Products
Apr 17, 2024 · Artificial Intelligence

Introduction to agere: A Lightweight, Fully Customizable Agent Framework

agere is a lightweight, dependency‑free Python framework that lets developers build fully customizable agents by defining reusable Job and handler task nodes in an edge‑node model, supporting parallel execution, fine‑grained callbacks, direct parameter passing, and hierarchical orchestration through a root Commander node.

AIAgent FrameworkPython
0 likes · 10 min read
Introduction to agere: A Lightweight, Fully Customizable Agent Framework
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Dec 6, 2023 · Artificial Intelligence

Multi-Agent Research Overview, Open-Source Implementations, and Design Considerations

This article reviews the background of multi‑agent systems, compares major open‑source frameworks such as AutoGen, MetaGPT, AgentVerse, and XAgent, discusses design principles, collaboration strategies, and offers conclusions on LLM‑driven versus SOP‑driven approaches for building multi‑agent applications.

AIAgent FrameworkAutoGen
0 likes · 15 min read
Multi-Agent Research Overview, Open-Source Implementations, and Design Considerations
DataFunSummit
DataFunSummit
Nov 20, 2023 · Artificial Intelligence

ModelScope Agents: Open‑Source LLM Agent Framework and Practical Guide

This article introduces ModelScope Agents, an open‑source LLM‑based agent framework that addresses limitations of GPT Store, outlines its features, provides installation and usage instructions, showcases a RPG game example, and invites the community to contribute to its roadmap.

AIAgent FrameworkLLM
0 likes · 7 min read
ModelScope Agents: Open‑Source LLM Agent Framework and Practical Guide
Ximalaya Technology Team
Ximalaya Technology Team
Sep 18, 2023 · Artificial Intelligence

Understanding Autonomous and Autopilot AI Agents: Insights from Industry Experts

The article surveys the rise of LLM‑powered AI agents, defining them as LLM + memory + planning + tool use, contrasting fully autonomous agents with human‑guided autopilot/copilot variants, outlining their benefits, risks such as hallucinations and unsafe actions, and urging modular frameworks and oversight for reliable enterprise deployment.

AI agentsAgent FrameworkLLM
0 likes · 27 min read
Understanding Autonomous and Autopilot AI Agents: Insights from Industry Experts
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Jul 17, 2023 · Artificial Intelligence

Beyond Prompts: Designing Robust LLM Applications and the Rise of AI Engineers

This article analyzes the evolving landscape of large‑model applications, detailing prompt engineering, engineering challenges, AI‑engineer roles, domain‑driven design, and agent frameworks, while offering practical guidance and references for building production‑grade LLM‑driven systems.

AI EngineerAgent FrameworkDomain-Driven Design
0 likes · 14 min read
Beyond Prompts: Designing Robust LLM Applications and the Rise of AI Engineers