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A Secure Vault for the Human-Agent Workplace
When people and AI agents share information, security must govern who can access it, what they can do with it, and where it can go next. A project manager opens a confidential contract. An AI agent extracts the deadlines. Another compares the payment terms with previous agreements. A third prepares a supplier email. One…
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Your AI Agent Has the Keys. Who Controls the Agent?
An AI agent reads your inbox, searches company files, updates customer records, and prepares a response to a supplier. Each connection helps it complete useful work. Each connection also gives it a route into information and systems your business depends on. Now imagine a supplier email asking the agent to send a confidential pricing…
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How AI Agents Can Remember: Building Memory for Long-Term Use
AI agents are becoming increasingly capable of completing multi-step tasks, using tools, communicating with other systems, and making decisions with limited human supervision. Yet one problem continues to limit their usefulness: most agents do not truly remember. They may appear intelligent during a conversation, but when the session ends, much of what they learned…
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The Agent Manager: How to Build an AI That Manages Other AI Agents
Artificial intelligence is moving beyond the era of the single assistant. The next generation of AI systems will not consist of one model trying to understand a request, search for information, use tools, make decisions, execute actions, verify results, and communicate with the user all inside the same loop. Instead, AI systems are beginning…
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Before You Run Hermes Agent
The Security, Privacy, Performance, and Reliability Layers You Need Before Giving an AI Agent Real Access AI is moving from answering questions to taking actions. That distinction changes everything. A traditional AI assistant may generate text, summarize documents, explain code, or answer questions. An autonomous agent can go much further. It can interact with…