Context Engineering for AI
Agent interoperability: a complete explainer

Agent interoperability: a complete explainer

7/14/2026 · Redis

What this post added

This post explains agent interoperability, detailing the limitations of current protocols (MCP, A2A) in managing shared state. It positions Redis as a solution for the shared-state layer required for multi-framework agent systems, highlighting its capabilities in vector search, semantic caching, and pub/sub for patterns like blackboard architecture and layered memory. It also mentions native integrations with LangGraph, AutoGen, Cognee, and MCP.

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