What Is a Context Engine?
Blog post from Unified.to
A context engine is a system critical for AI agents, providing real-time business context by integrating live data sources, enforcing authorization, and ensuring accurate state representation across multiple platforms. Unlike RAG pipelines, which are suitable for static and informational queries, context engines are designed to handle dynamic data environments where agents execute actions with real consequences. Vendors like Confluent, Augment Code, and other practitioners have varying definitions of context engines, reflecting different architectural approaches, from maintaining continuously updated data layers to understanding software codebases and deciding what goes into an LLM's context window. For B2B SaaS agents, context engines must manage authorized access, real-time data reads, and normalization across diverse integrations, ensuring agents can reliably act on current business data. Unified provides the necessary infrastructure with its normalized API layer and MCP server, facilitating direct API reads, normalized schemas, and event-driven updates, allowing AI agents to operate effectively on live SaaS data.