Klavis AI is a specialized development platform designed to provide live, realistic sandbox environments for training and evaluating autonomous AI agents. Built to support frontier AI labs and software developers, the platform addresses the challenges of testing complex, long-horizon agentic workflows by offering managed environments with built-in authentication, seeded state data, and isolated parallel runs. Instead of relying on static benchmarks or toy workflows, developers can train agents on multi-step tasks that span browser sessions, computer actions, code repositories, and SaaS tools using Model Context Protocol environments. Klavis AI streamlines the training loop by offering instant state initialization, one-click resets, and state exports for verifiable outcomes. This infrastructure allows teams to move away from slow, manual cleanup and sequential, blocking runs, enabling more efficient reinforcement learning and agent evaluation at scale. By bridging the gap between simulated benchmarks and unpredictable real-world environments, Klavis AI provides the robust infrastructure necessary for building reliable, production-ready AI agents.
Target audience: Best for: AI software developers, Agentic testing engineers, Machine learning labs
Pricing: Open Source · Categories: Chatbot Development, Developer Tools, Experiments
Tags: ai agent, API, developer tools, experiments, OpenSource
Klavis AI is an open source testing platform that provides live, managed sandbox environments for training and evaluating autonomous AI agents. It features seeded state datasets, built-in authentication, Model Context Protocol integration, and one-click resets to help developers evaluate agents on multi-step workflows across browser sessions, code repositories, and SaaS tools.
Klavis AI is designed for AI software developers, agentic testing engineers, and machine learning labs. It is intended for technical teams that need to run parallel reinforcement learning loops, test complex multi-step browser tasks, and safely evaluate autonomous agents in isolated environments without performing manual database cleanup or account configuration.
Klavis AI is available under an open source pricing model. Developers and machine learning labs can access the platform infrastructure and integration tools directly for their agent training and evaluation workflows without commercial licensing fees.
Klavis AI deploys isolated sandboxes for testing agents across multi-step browser actions, code repositories, and SaaS tools. It enables high-speed parallel evaluation loops, instant database state initialization, one-click environment resets, state exports for verifiable testing outcomes, and connectivity through Model Context Protocol integrations.
Klavis AI provides prebuilt Model Context Protocol support to let autonomous agents communicate directly with standard databases and SaaS environments. This integration allows agents to search, parse, and manipulate structured data in isolated sandboxes while maintaining enterprise-grade SOC 2 compliant safety standards.