OpenLLM

OpenLLM is a routing platform that lets developers connect to multiple AI language models—such as Claude Code, Codex, and OpenCode—through a single local layer. It supports both API-based and locally hosted models, as well as subscription-type access, consolidating all your AI endpoints and provider keys into one interface. The system is designed to help users easily switch between providers or models, with built-in fallback mechanisms if one service is unavailable or rate-limited.

Users can manage their encrypted API keys securely, benefit from built-in inference without needing to connect external services to get started, and route requests to the most optimal model or provider at any time. OpenLLM is compatible with popular tools like OpenAI, Anthropic, Google, and supports integrations with local runners such as Ollama and LM Studio. Shared memory and context persist across agents and devices, helping teams maintain a streamlined workflow for complex tasks that depend on multiple AI services.

The solution is especially useful for developers and technical teams who need greater control, flexibility, and privacy when using large language models across projects or teams. With a user-friendly onboarding—requiring no credit card or prior key setup for initial usage—OpenLLM lowers the barrier for experimentation and operational use of advanced AI capabilities.

OpenLLM is made for developers and technical teams who regularly use multiple AI language models across various providers. It's particularly valuable for engineers and CTOs at startups or small companies who need to quickly switch between APIs, manage API keys securely, and keep models and tools in sync across devices.

The tool helps organizations that require fallback solutions to avoid rate limits, want to consolidate AI infrastructure management, or need to maintain privacy over local and hosted inference. Product managers and software engineers working on AI-driven apps, chatbots, or automation workflows will benefit from having a single, secure layer to access any supported model as needed.