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rhesis

rhesis-ai/rhesis

Testing platform for AI teams to generate tests and evaluate system performance

GitHub Website

GraphCanon updated 3w · GitHub synced 3w

381 stars31 forksLast push 3w Python Other

Decision brief

Rhesis is a testing platform for AI teams that facilitates collaboration among engineers, project managers and domain experts to generate tests, simulate adversarial conversations, and conduct root cause analysis.

Good fit when

When you need a dedicated environment for generating complex test cases specifically tailored to AI systems
If your team requires collaborative capabilities among various roles to simulate realistic adversarial scenarios

Avoid when

For simple unit testing without the need for adversarial simulation or deep collaboration on complex test case development
When you are looking for a solution that does not focus heavily on traceability and root cause analysis post-test failures

Observed Jul 17, 2026 · Source: enrich:decision_facts

rhesis alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of 3w
Provenance: Not a fork · Organization account; As of 3w
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install rhesis

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Rhesis provides an environment where engineers, PMs, and domain experts collaborate on testing AI systems, including generating test cases, simulating conversations, and root cause analysis.

Capability facts

Deploy: Self-host
Source: dockerfile:docker-compose.yml · Jul 28, 2026
Docker: Dockerfile present
Source: dockerfile:docker-compose.yml · Jul 28, 2026
Languages: python
Source: github.language · Jul 28, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 28, 2026)

pip install rhesis-sdk

Source link

README

Local (Docker)

git clone https://github.com/rhesis-ai/rhesis.git && cd rhesis && ./rh start

./rh start pulls prebuilt images from GHCR. To build from the repo instead, use ./rh start --build (and ./rh restart --build after local Dockerfile changes).

Access: Frontend at localhost:3000, API at localhost:8080/docs

Commands: ./rh logs · ./rh stop · ./rh restart · ./rh delete

This setup enables auto-login for local testing. For production self-hosting, see Deployment docs.

Once the platform is running, connect your agent with the SDK:

pip install rhesis-sdk

See sdk/README.md.

Option	Best for
Rhesis Cloud	Managed deployment
Local Docker (`./rh start`)	Development and trying the platform
Self-hosted	Production deployment — docs

For agents

This page has a .md twin and JSON over the API.

/tools/rhesis-ai-rhesis.md GET /api/graphcanon/tools/rhesis-ai-rhesis GET /api/graphcanon/graph?tool=rhesis-ai-rhesis