Open-source simulation harness for testing AI agents — simulates LLM and tool calls to test edge cases without live API calls.
Tenro is easy to set up with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view tenro-ai/tenro-python --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Unit-test your AI agent logic deterministically, mocking LLM responses before deploying.
Open-source simulation harness for testing AI agents — simulates LLM and tool calls to test edge cases without live API calls.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 87 days ago.
35 GitHub stars indicate community interest.
2 open issues signal maintenance load.
MIT license detected.
Agent unit testing
Edge case simulation
Simulation only — test coverage limited by mock data
35
Stars
4
Forks
2
Issues
MIT
License
Run large language models locally with a simple CLI. Supports Llama, Mistral, Gemma, and 100+ models with one command.
A public repository of example skills for Claude, demonstrating how to create reusable instructions and resources for specialized tasks.
Anthropic's official CLI agent for coding. Claude-powered terminal agent that reads, writes, and refactors entire codebases.
Open-source simulation harness for testing AI agents — simulates LLM and tool calls to test edge cases without live API calls.
AI Engineers, SDETs
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Simulation only — test coverage limited by mock data
Similar or complementary options to evaluate include Ollama, anthropic-skills, Claude Code.
May 31, 2026
1 security/trust notes recorded.
Setup difficulty is 2/5.