104 related articles

A deep dive into DeepSeek Harness developer preview: its Agent infrastructure positioning, Codex kernel hot-swap design, four run modes, and Creation Mode's self-evolution capability.

Complete guide to DeepSeek Harness: installation, four Agent preset modes, third-party model integration, plugin management, plus hands-on examples building a blog and task manager app.

Hands-on review of DeepSeek Harness (DSH), the open-source AI Agent framework with a fully plugin-based architecture. Covers installation, plugin ecosystem, custom plugin creation, and comparison with Codex.

Deep dive into DeepSeek Harness (DSH): its Agent=Model+Harness formula, Cordis plugin system, four runtime modes, and Trajectory traceability for modular Agent development.

DeepSeek Harness rc.8 brings multimodal image processing, on-demand sub-agents, Windows terminal persistence, and SQLite optimization. The open-source Agent framework with 170K+ GitHub stars iterates at remarkable speed.

Deep dive into DeepSeek Harness (DSH) system architecture, plugin development paradigm, and practical usage. Covers core components, workspace config, Agent Presets, plugin ecosystem, and desktop deployment.

Deep dive into DeepSeek-Harness open-source agent framework: from Codis kernel to plugin architecture, four preset modes, transparent session logs, and its open-source ecosystem strategy.

A deep dive into the Content-driven methodology for financial agent development, covering three-layer architecture, four-layer configuration, six work modes, and Prompt engineering paradigms.

An in-depth analysis of how AI Agents are reshaping vulnerability discovery, covering AI-powered bug hunting, code auditing, and CTF solving, plus AI security defense essentials.

A deep dive into MCP protocol principles, architecture, and security, with hands-on LangChain Agent integration covering auth, interceptors, progress notifications, elicitation, and an e-commerce demo.

Shanghai Jiao Tong University releases ARIS framework for reliable end-to-end research automation. Self-review loops, score thresholds, and human-in-the-loop design solve AI agent drift problems.

Users report Model Council frequently showing 'Answer stopped before finishing' errors and slow responses. This article analyzes technical causes and offers practical solutions.

How to run a fully local AI voice agent on a $50 Arduino Uno Q board, covering speech recognition, intent understanding, and TTS implementation for edge AI applications.

August 4, 2026 is the setting date of Bradbury's 1950 story "There Will Come Soft Rains." Its depiction of an automated home running without humans resonates deeply with today's AI automation debates.

Deep dive into the Walsh multi-agent trading system architecture, exploring how its risk management agent with veto power establishes safety boundaries for AI autonomous decision-making.

When RL continuously optimizes models to please reward models, do soaring Elo scores truly represent capability gains? A deep dive into Reward Hacking in RLHF, Goodhart's Law in AI, and industry countermeasures.

Webhound is a research engine for AI agents that controls research depth via dollar budgets, delivering cited traceable reports with MCP protocol and API integration.

Webhound is a research engine for AI agents that controls research depth via dollar budgets, outputting cited traceable reports with MCP protocol and API integration.

In-depth review of Prompt Anything, an AI prompt generation tool with 13 scenario modes, smart questioning, and cost-optimized routing to help users create expert-level prompts for ChatGPT, Midjourney, and more.

Google Gemini API Managed Agents launches three key updates: Free Tier for universal access, Cost Controls for budget safety, and Scheduled Triggers for automated execution.