ClewdR for Windows

ClewdR — Fast reverse proxy built for modern AI models

ClewdR is a high-performance reverse proxy engineered for advanced AI systems such as Claude and Gemini. It provides a polished React-based user interface for managing model sessions and requests, while keeping resource consumption far lower than typical script-driven setups. The result is a compact, efficient tool capable of reliably serving very high request volumes.

Core strengths and intended users

ClewdR is aimed at developers and AI practitioners who need a dependable middle layer between clients and large language models. Key benefits include efficient session handling, reduced infrastructure overhead, and a responsive management UI that simplifies working with multiple accounts and models.

Performance and efficiency features

• Multi-threaded, asynchronous processing to maximize throughput and minimize latency.
• High-efficiency caching that reduces repeated work and accelerates response times.
• Optimized for low memory use so it runs well on modest hardware while still supporting heavy traffic.
• Designed to outperform comparable script-based solutions in resource usage and scalability.

Session handling and resource control

• Intelligent cookie and session management that automates account state tracking.
• Automatic categorization of account conditions to streamline routing and usage policies.
• Fine-grained resource allocation to prevent overload and to prioritize critical workloads.

Deployment and interoperability

• Single-binary distribution for straightforward cross-platform deployment and minimal operational complexity.
• Built-in proxy server capabilities so it can be used as an edge component or integrated into existing networks.
• Compatible with major AI offerings including Claude and Gemini, making it suitable for mixed-model environments.

Practical applications

ClewdR is well suited for load testing, multi-account orchestration, and production deployments where high request rates and predictable resource usage are required. Its combination of a modern frontend, efficient backend, and flexible deployment options makes it a practical choice for teams building scalable AI-driven services.