Toolhouse is a cloud infrastructure platform for equipping large language models with actions and knowledge, enabling developers to build, deploy, and scale AI agents with just a few lines of code through a universal SDK compatible with all major LLM providers and frameworks. It solves the challenge of adding real-world capabilities to AI agents by providing production-ready tool infrastructure for semantic search, RAG, code execution, web browsing, and hundreds of other actions without requiring developers to build and maintain custom integrations. Toolhouse abstracts away the complexity of function calling, tool management, and execution infrastructure so developers can focus on agent logic and user experience.
Toolhouse provides a universal SDK that works with any major LLM including OpenAI, Anthropic, Google, and open-source models, with a tool store containing pre-built capabilities that can be added to agents without writing integration code. The platform handles tool execution in the cloud with automatic scaling, error handling, and retry logic, while providing observability and monitoring for tracking tool usage patterns and performance metrics. Toolhouse also supports custom tool development where developers can publish their own tools to the platform and share them with the community or keep them private for internal use.
Toolhouse targets AI developers, startup teams, and small engineering groups building AI-powered applications who need production-ready tool infrastructure without the overhead of managing complex backend services. It integrates with major agent frameworks and LLM providers through a lightweight SDK, making it easy to add tool capabilities to existing AI applications. Toolhouse is particularly well-suited for teams that want to move quickly from prototype to production with AI agents, offering an affordable platform that eliminates the need for dedicated infrastructure engineering while providing the scalability and reliability needed for production workloads.
