Klavis

Klavis is a platform for training AI agents that provides live environments for long-horizon coding tasks and complex tool-use scenarios.

Klavis AI offers live environments designed for training AI agents, specifically for frontier AI labs. The platform focuses on generating long-horizon agentic tool-use data and coding datasets suitable for reinforcement learning (RL) and supervised fine-tuning (SFT). It incorporates programmatic verification, deterministic tests, and granular rewards to ensure data quality. The system supports complex workflows across live SaaS applications, production MCP servers, and real tools. It manages logically consistent states and noisy inputs to create realistic training data for agents.

Klavis at a glance

Best for: Software engineer
Pricing: Freemium
Released: April 2025
Category: AI agent tool
Website: klavis.ai

Key features

Docker-packaged environments for RL and SFT
Programmatic verification of long-horizon tasks
Code editing and debugging environments
Deterministic testing frameworks
Granular reward calculation for agent actions
Integration with production MCP servers

Use it for

Generating long-horizon coding data for model post-training
Simulating realistic tool-use workflows for AI agents
Creating verifiable training datasets for complex agent tasks

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