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  • Hermes Agent vs OpenClaw: Which One Is Better, and Better for What?

    The open-source agent space is moving fast, and two of the most interesting projects right now are Nous Research’s Hermes Agent and OpenClaw. At first glance, they seem very similar. Both are self-hosted. Both can connect to tools. Both can live across messaging channels. Both aim to become persistent AI systems rather than one-shot chatbots.

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  • OpenClaw Architecture: Does It Use a Database or Just the Filesystem?

    When people first explore OpenClaw, one of the first architectural questions that comes up is: Where does OpenClaw store its memory and state? Does it use a database like SQLite or Postgres? Does it have vector memory? Or is it just filesystem-based? The answer is surprisingly simple: OpenClaw is extremely lightweight and mostly filesystem-based. Let’s

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  • Understanding OpenClaw: What Are Its Main Components?

    When people first encounter OpenClaw, they often ask a simple question: what exactly are its main building blocks? Is it just an agent runtime? Is it about memory? Is SOUL.md the core? Or is it something bigger? The answer is: OpenClaw is built as a layered agent system. Some parts define the agent’s identity and

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  • OpenJarvis: Stanford’s Local-First AI Agent Framework With MCP Support and On-Device Learning

    OpenJarvis is a research framework from Stanford’s Scaling Intelligence Lab for building personal AI agents that run locally by default. Unlike cloud-dependent agent frameworks, OpenJarvis only calls external APIs when truly necessary โ€” keeping your data private and your workflows fast. The project is available at github.com/open-jarvis/OpenJarvis. Seven Built-in Agent Types OpenJarvis ships with seven

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  • MCP Servers on GitHub: The Model Context Protocol Repository Powering AI Agent Tools

    The Model Context Protocol (MCP) has become the standard way AI agents connect to external tools and data sources. The official MCP Servers repository on GitHub is where it all starts โ€” a growing collection of reference implementations that demonstrate how to build MCP-compatible tools for any AI agent. Official Reference Servers The modelcontextprotocol GitHub

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  • Nous Hermes Agent: The Self-Improving AI Agent With 70+ Built-in Skills

    Nous Research has released Hermes Agent, an open-source AI agent that does something no other agent framework does well: it learns and improves from every interaction. With 70+ bundled skills across 15+ categories and a built-in learning loop, Hermes Agent creates new skills from experience and deepens its understanding of each user over time. How

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  • The Best Curated Agent Skills Lists on GitHub: VoltAgent, Skillmatic & More

    Finding quality AI agent skills among thousands of options can be overwhelming. Thankfully, the community has built several excellent curated lists. Here are the top awesome agent skills repositories on GitHub worth bookmarking. VoltAgent/awesome-agent-skills โ€” 500+ Verified Skills VoltAgent/awesome-agent-skills is the gold standard. Unlike bulk-generated repositories, this collection focuses on real-world agent skills created by

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  • OpenClaw: The Open-Source AI Agent Framework With 13,700+ Skills on ClawHub

    With over 280,000 GitHub stars, OpenClaw has become the most popular open-source project in history โ€” and its skills ecosystem is a major reason why. The OpenClaw GitHub repository houses the complete framework for building, running, and deploying AI agents that integrate with any large language model including Claude, DeepSeek, and GPT models. What Makes

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