#agent deployment
22 related articles
Guo Yu on the AI Agent Era: The End of…
·3 min
Guo Yu on the AI Agent Era: The End of Software and the Fate of Knowledge Workers
Former ByteDance engineer Guo Yu analyzes the AI Agent revolution: how Claude Code's Skill feature signals the end of traditional software, the SaaS collapse, and the future of knowledge workers.
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From Claude Oceanus to GPT-5.6: A Comp…
·3 min
From Claude Oceanus to GPT-5.6: A Complete Breakdown of This Week's Major AI Model Updates
Deep analysis of this week's major AI model updates: Anthropic Oceanus red team leak, OpenAI GPT-5.6 Dual Alpha exposed, NVIDIA Nemotron Ultra 550B release, and AI recursive self-improvement research breakthrough.
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·2 min
Cosmos Unified Agents Platform: A New Paradigm for AI Agent Collaboration Through Shared Context and Memory
Deep dive into how the Cosmos Unified Agents Platform solves multi-AI Agent collaboration challenges through shared context and memory mechanisms, and its positioning in enterprise multi-Agent orchestration.
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·2 min
Google Gemini 3.5 Flash Released: A Generational Leap Focused on Agentic and Coding Capabilities
Google releases Gemini 3.5 Flash, skipping version 3.0 in a generational leap focused on agentic capabilities and coding performance, positioning it as a new AI model family bridging frontier intelligence with real-world action.
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Product Reviews·4 min
Lark CLI: A Deep Dive into Feishu's Open-Source AI Agent Command-Line Tool
Lark CLI is Feishu's official open-source CLI tool designed for AI Agents, offering 200+ commands across 17 business domains with 24 structured Skills for messaging, docs, spreadsheets, calendars, and more.
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Tutorials·3 min
The Complete Guide to Hermes Agent: Building a Self-Evolving AI Assistant from Scratch
Complete guide to Hermes Agent's five core pillars: Memory, Skills, Soul, Crons & self-evolution. Covers VPS deployment, Telegram setup, security management & best practices for building an AI assistant that grows stronger over time.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into the MCP protocol's core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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Tutorials·3 min
One Person, Three Machines: Local Agent Deployment and Multi-Machine Collaborative Operations in Practice
Deploy Cloud Code and Hermes AI Agents to efficiently manage three physical hosts solo. Covers Ventoy single-file deployment, BTRFS+RAW Image setup, Agent task division, and risk control strategies.
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Tutorials·3 min
Claude Code Agent Deployment: Comparing Three Approaches with a Selection Guide
A detailed guide comparing three Claude Code agent deployment methods—Cron Loop, Desktop/Cloud Routines, and Modal/Trigger.dev—analyzed by run location and determinism to help developers choose the best strategy.
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Product Reviews·3 min
Claude Code Firmware-Level Ops in Practice: Virtual Disk Expansion & Local Agent Deployment
Hands-on testing of Claude Code for firmware-level ops: Ventoy virtual disk expansion, ext4-to-btrfs conversion, and a cost-effective local Agent deployment architecture with distributed design.
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Tutorials·3 min
Hermes Agent Deployment Tutorial: An AI Assistant That Uses Fewer Tokens Than CrawlAI
Complete Hermes Agent deployment tutorial for Windows: environment setup, model configuration, WeChat channel connection, and troubleshooting. Uses fewer tokens than CrawlAI with direct WeChat chat support.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Tutorials·3 min
Hermes Agent Framework Practical Guide: Building AI Agents from Scratch
A detailed guide on ByteDance's Hermes Agent framework covering core features, deployment, custom tool development, and enterprise-grade AI Agent applications.
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Tech Frontiers·2 min
Gemini Spark Officially Launches: Google Builds a Cross-Service AI Action Assistant
Google Gemini Spark launches for AI Ultra subscribers. This intelligent action assistant works across apps, shifting AI from information provider to task executor. Deep dive into its capabilities and competitive edge.
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Product Reviews
Deep Dive into Qwen3.7 Max: One-Tenth …
·3 min
Deep Dive into Qwen3.7 Max: One-Tenth the Cost of GPT, Purpose-Built for AI Agents
Alibaba's Qwen3.7 Max targets AI agents with coding tasks at just $1.30 (one-tenth of GPT-5), supporting 35 hours of continuous execution. Deep analysis of its cost advantages, front-end capabilities, and three key limitations.
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Tutorials
WenzAgent Open-Source Framework: A Pra…
·2 min
WenzAgent Open-Source Framework: A Practical Tutorial for Multi-Agent Collaborative Management on LAN
A detailed guide on deploying WenzAgent, an open-source multi-Agent management framework under Apache License, supporting LAN-based multi-device AI agent collaboration with Server-Client architecture.
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Product Reviews·2 min
89K Stars: Deep Dive into the Open-Source Tool That Lets AI Agents Take Over Your Browser
Deep dive into the 89K-star AI browser automation open-source project on GitHub — how it lets LLMs autonomously control browsers for web tasks, covering core capabilities, use cases, and getting started.
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Product Reviews·1 min
Tasi Harness: Local AI Agent for Browser Automation
Tasi Harness is a locally deployed AI Agent browser automation tool that drives browsers via natural language to complete searches, data collection, and form filling. A deep dive into its features, technical highlights, and use cases.
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Tech Frontiers·3 min
Anthropic Open-Sources Financial Agent Suite: 10 Agents Covering the Full Investment Banking Workflow
Anthropic open-sources a financial Agent suite with 10 specialized Agents covering Pitchbook creation, earnings analysis, and valuation modeling, integrating 11 data sources via MCP protocol under Apache 2.0 license.
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Tutorials·3 min
Deep Agents: Enterprise-Grade Agent Engineering and Deep Research Implementation Guide
Learn how the Deep Agents framework solves enterprise AI Agent challenges like tool sprawl and context pollution, with a complete Deep Research implementation guide covering task decomposition, multi-source integration, and structured report generation.
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