Get unified test management for AI teams. For founders with AI development needs.
intermediateโฑ 30 minutes๐ต Free + LLM API costs
375 stars26 forksPythonQuality 8/10Updated 7/6/2026100% free ยท open source
What it is
Use rhesis to generate tests and simulations for AI models
What you can make with it
Automations like: trace failures in AI model output to their root cause and find issues with test conversations
How it helps
rhesis helps you find and fix problems in AI models by simulating conversations and tracing failures. This saves time and effort in debugging and testing.
Real use case example
"A founder, Sarah, wants to fix errors in her chatbot's customer support responses. With rhesis, she writes a simulation scenario, runs the test, and uses the platform's tracing feature to identify and fix the root cause of the mistakes, resulting in more accurate and helpful customer support."
If you're new
Pick rhesis up when you're new to AI testing and want to learn how to generate and run test scenarios.
If you're senior
Reach for rhesis when you need to collaborate with your team to develop and refine your AI models or chatbots.
Common confusion cleared up
Don't confuse rhesis with other tools that only generate tests or simulations separately - rhesis brings them together in one platform
Best inside these AI tools
CursorCodex CLIContinue
Pairs with
Claude APIStripe webhookNotion database
Why we list it on WorkflowStacks: rhesis is included in this marketplace because it's a free, open-source platform for AI teams to collaborate on testing and quality assessment.
What it does
Rhesis provides a unified test management platform for AI teams to generate tests, simulate conversations, and track failures to their root cause.
Install / run
pip install rhesis
When to use it
โขWhen developing AI models that require extensive testing and validation
โขWhen needing to collaborate with cross-functional teams on AI project testing
โขWhen requiring a platform to simulate adversarial conversations for AI model testing
Quick start
1Clone the Rhesis repository from GitHub using `git clone https://github.com/rhesis-ai/rhesis.git`
2Navigate into the cloned repository with `cd rhesis`
3Run the Rhesis platform using a command specified in the README, such as a Python script
4Configure your test environment and simulations according to the Rhesis documentation
5Use the Rhesis API or interface to generate tests and track failures
Ready-to-paste prompt
Run a simulation using `python -m rhesis.simulate --model my_ai_model --scenario my_conversation_scenario`
Heads up: Ensure you have the correct version of Python installed, as specified in the Rhesis README, to avoid compatibility issues