公司大脑的六层 Agent 工程认知

Very few teams are building a company brain. Most are just wiring together MCPs and hoping scattered docs behave like a system. 6 terms you need to know if you're building one (or evaluating GBrain): 𝟭. 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵 The layer that maps how company knowledge connects. Linking people, projects, decisions, customers, product areas. It gives AI structure, provides the foundational context AI needs to reason, not just raw text to search through. 𝟮. 𝗠𝗖𝗣 A protocol that helps AI connect to tools and take action across them. Anthropic introduced it; In 2026 it has become the dominant AI integration standard. But a pile of MCP connections does not automatically create shared understanding. Access is not memory. 𝟯. 𝗦𝗸𝗶𝗹𝗹𝘀 The agent’s functional orchestration logic. MCP handles the underlying API connection, Skill defines the higher-level execution steps required to finish a job, such as summarizing a sales call, updating a product specification, or routing user requests. 𝟰. 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵 The combo of keyword search and semantic search. One catches the exact phrase, the other catches the meaning. Teams need both, because company language is messy, acronym-heavy, and constantly changing. 𝟱. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 RAG with a brain. The agent can route queries to specialized knowledge sources, validate retrieved context, and make dynamic decisions about what information to use. 𝟲. 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 𝗕𝗿𝗮𝗶𝗻 A living system that turns company knowledge into something AI and humans can rely on. Connected, contextual, permission-aware, and continuously updated. This is the difference between AI that sounds smart and AI that is useful at work and always up-to-date. In 2026, we don’t win by adding more AI touchpoints. We win by giving AI a shared brain to work from. Are you building one? Share your expert take below 👇 Which must-know term would you add?