AI Agent Skills

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

library for importing functions from dlls in a hidden, reverse engineer unfriendly way

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hos…

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

🐢 Open-Source Evaluation & Testing library for LLM Agents

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from developmen…

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Evaluation and Tracking for LLM Experiments and AI Agents

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

AI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

Agent Skills for Langfuse, the open source LLM engineering platform for tracing, prompt management, and evaluation

YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills.

OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards