#bidirectional linking
28 related articles
·4 min
7 Core Features of Hermes Agent Explained: The Real Reasons Users Are Abandoning OpenCore
Deep dive into Hermes Agent's 7 core features including Kanban multi-tasking, /goal deep execution, and multi-agent architecture, compared with OpenCore's stability and performance issues.
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Tutorials·3 min
Building Your AI Second Brain: A Zero-Code Deployment Guide with Local Database + MCP
Learn how to build a personal AI knowledge base with local vector databases, MCP protocol, and Obsidian. Achieve semantic retrieval and auto-ingestion with zero-code deployment in one hour.
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Industry Insights·2 min
How MCP Becomes a Deep Extension Point for Agent Platforms: Architecture Design and Practice
Deep dive into MCP protocol architecture in Agent platforms, covering MCP Proxy design, tool invocation for human-in-the-loop collaboration, permission integration, and advantages over Skill approaches.
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Industry Insights·1 min
AI Agent Developer Toolchain: Code Search, Diff Viewing & K8s Config Generation in Practice
Deep dive into AI Agent developer tools: Symbol code search saves 98% Tokens, plus Filess AMD local notes, K8s config generation, and more practical tools.
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Product Reviews·3 min
Illospace: A Full-Stack Collaborative Space Where Humans and AI Agents Share One Brain
Illospace is an open-source collaborative workspace where AI Agents and team members share memory and a Team Brain, with built-in databases, cron jobs, and canvas-based UI.
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Product Reviews·2 min
Claude Scholar Open-Source Framework: A Practical Guide to AI-Assisted Academic Research Across the Full Lifecycle
Claude Scholar is an open-source academic research framework built on Claude Code, covering seven stages from topic selection to reviewer response, with Zotero and Obsidian integration.
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Tech Frontiers·2 min
Codex Plugin Sharing Explained: One-Click Workflow Sharing for Your Development Team
OpenAI Codex launches plugin sharing with one-click distribution to teammates via deep links and workspace permissions, turning personal AI workflows into shared team assets.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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