Why Your Company Needs a Context Graph (and How to Build It) — Gil Feig, Merge
Your agent can tell you why one customer was upset. Ask which customers were upset last year, and it falls apart.
Gil Feig, co-founder and CTO of Merge, explains why every company needs a context graph, a company brain that brings together third-party data, structured context, memories and skills. Using the question "which customers were upset last week?", he shows why connecting a few MCP servers isn't enough: live API lookups can't search across large datasets, so you need a synced copy for semantic queries, alongside live calls for simple lookups. He walks through the architecture: a router, synced and live context, a summarizer, and skills and memory that encode how your company actually defines things like a happy customer. He covers four tiers of context including derived summaries, a decision flowchart for when to use cache or live data, and why every answer must keep track of where its data came from.
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