Aquifer: Bounded Queues, Fairness, and Dynamic Pacing for AI Workloads

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rate-limiting queues traffic-spikes agent-systems mcp fairness dynamic-pacing

Summary

Aquifer is an MCP runtime that provides bounded queues, fairness controls, and dynamic pacing to handle rate limits and traffic spikes in AI agent systems. It also introduces the Aqueduct Protocol for dynamic flow state communication.

Aquifer is MCP runtime for handling rate limits and traffic spikes. It provides durable queues, bounded concurrency, fairness controls, and dynamic pacing for bursty traffic patterns common in agent systems. It also experiments with the **Aqueduct Protocol**, a stream and webhook-based coordination protocol that dynamically communicates flow state through headers, allowing clients to scale traffic up or down at a controlled pace instead of relying solely on static rate limits. The project also includes an encryption and identity protocol that uses public-key verification, reducing the need to store shared secrets in a database. The goal is to make agent and MCP traffic more resilient to overload, retries, and traffic spikes.
Original Article

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