ai-evaluation-framework

☑️ A curated list of tools, methods & platforms for evaluating AI reliability in real applications

Comprehensive AI Model Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.

Open-source AI model evaluation and benchmarking framework for LLMs (OpenAI, Ollama, Claude, Gemini)

Core engine behind Calibrate, a framework for evaluating AI agents: speech-to-text, text-to-speech, LLM evaluation, end-to-end simulations

A comprehensive, implementation-focused guide to evaluating Large Language Models, RAG systems, and Agentic AI in production environments.

Comprehensive AI Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.

[NeurIPS 2025] AGI-Elo: How Far Are We From Mastering A Task?

Test and evaluate Large Language Models against prompt injections, jailbreaks, and adversarial attacks with a web-based interactive lab.

Curated intelligence layer for generative and agentic AI, translating research into production systems | AditiKhare.com — AI Product Ecosystem

prompt-evaluator is an open-source toolkit for evaluating, testing, and comparing LLM prompts. It provides a GUI-driven workflow for running prompt tests, tracking token usage, visualizing results, and ensuring reliability across models like OpenAI, Claude, and Gemini.

Deterministic runtime for agent evaluation

An sdk and framework for evaluating and comparing multiple model outputs using configurable LLM-based jurors

Backend for Calibrate, a framework for evaluating AI agents: speech-to-text, text-to-speech, LLM evaluation, end-to-end simulations

Frontend for Calibrate, a framework for evaluating AI agents: speech-to-text, text-to-speech, LLM evaluation, end-to-end simulations

A reference implementation for learning and building AI evaluation systems.

🤖 Evaluate AI systems effectively with our comprehensive guide to methods, tools, and frameworks for assessing Large Language Models and agents.

VerifyAI is a verification harness for testing, auditing, and evaluating responses from AI assistants and coding agents.

Pondera is a lightweight, YAML-first framework to evaluate AI models and agents with pluggable runners and an LLM-as-a-judge.

Multi-dimensional evaluation of AI responses using semantic alignment, conversational flow, and engagement metrics.

👽 An Alien Mind — The Epistemic Operating System for the AI Age. Open-source epistemic layer between humans and AI: Cognitive Firewall, multidimensional Trust Profile, five-agent Alien Council, Thought DNA provenance, behavioral fingerprints, and Monte Carlo simulation. Not a chatbot. Not a guardrail. Not a lie detector.