MCP State Sidecar: durable state persistence for multi-agent AI workflows
An MCP-native state sidecar that externalises workflow state for distributed agent deployments. Quite a simple idea really; instead of storing state inside agents (which breaks when processes crash, scale horizontally, or span multiple frameworks), agents write to and read from this sidecar over the Model Context Protocol (MCP). The sidecar is itself an MCP server; agents call its tools exactly…
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An MCP-native state sidecar that externalises workflow state for distributed agent deployments. Quite a simple idea really; instead of storing state inside agents (which breaks when processes crash, scale horizontally, or span multiple frameworks), agents write to and read from this sidecar over the Model Context Protocol (MCP). The sidecar is itself an MCP server; agents call its tools exactly the same way they call any other tool! The server itself is built with distributed environments in…