From 063eded7963a1bef826fa254bdbe069f36872227 Mon Sep 17 00:00:00 2001 From: Alessandro Potenza Date: Fri, 6 Feb 2026 22:47:05 +0100 Subject: [PATCH] Update README with agentrial and Chidori details Added sections for agentrial and Chidori with descriptions. --- README.md | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/README.md b/README.md index 2918029..799538f 100644 --- a/README.md +++ b/README.md @@ -34,6 +34,28 @@ This list is made by the team behind [e2b](https://github.com/e2b-dev/e2b). E2b Feel free to reach out to us at [hello@e2b.dev](mailto:hello@e2b.dev). Check out also our database of [AI agents](https://github.com/e2b-dev/awesome-ai-agents). +## [agentrial](https://github.com/alepot55/agentrial) +agentrial is the pytest for AI agents: run N trials, get confidence intervals, catch regressions before production. + +
+ + + +AI agents pass benchmarks but fail in production. Why? Single-run evaluations hide variance. agentrial runs your agent N times, computes Wilson confidence intervals, and uses Fisher exact tests to detect regressions in CI/CD. pip install agentrial, write a YAML, done. + +Unlike DeepEval/Promptfoo (LLM-first, agent bolted on), agentrial is agent-native: trajectory evaluation, step-level failure attribution, multi-agent coordination metrics, and real API cost tracking. Framework-agnostic via adapters for LangGraph, CrewAI, AutoGen, Pydantic AI, OpenAI Agents, smolagents. + +
+ + +## [Chidori](https://github.com/ThousandBirdsInc/chidori) +Chidori is a reactive runtime for building AI agents. It provides a framework for building AI agents that are reactive, observable, and robust. It supports building agents with Node.js, Python, and Rust. +It is currently in alpha, and is not yet ready for production use. + +
+ + + ## [E2B](https://www.e2b.dev/) E2b is an operating system for AI agents, that is, a set of tools, APIs, and cloud environments for agents.