Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
Collection of evals for Inspect AI
Training-free Spectrum acceleration for ComfyUI’s native MiniMax H3 audio-video model. Uses Chebyshev ridge feature forecasting to skip selected H3 transformer evaluations, with adaptive scheduling, sampler-aware support for Euler, ER-SDE, RES, SEEDS and SA-Solver, CPU/VRAM history storage, and fail-closed native fallbacks.
This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
The OWASP OFFAT tool autonomously assesses your API for prevalent vulnerabilities, though full compatibility with OAS v3 is pending. The project remains a work in progress, continuously evolving towards completion.
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Span-level grounding verification for RAG, code, and tool-grounded AI outputs.
[NeurIPS D&B '25] The one-stop repository for LLM unlearning
Simple Safe Sandboxed Extensible Expression Evaluator for Python
ParseBench - A Document Parsing Benchmark for AI Agents
Implementation and resources for Sheet as Token, a graph-enhanced framework for multi-sheet spreadsheet understanding and retrieval.
Task-based datasets, preprocessing, and evaluation for sequence models.
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
This package contains native dbt checks to report and fix issues in your dbt project
A tool for customers to evaluate their AWS service configurations based on AWS and community best practices and receive recommendations on potential improvements.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Combine the power of nix-eval-jobs with nix-output-monitor to speed-up your evaluation and building process.
中文优先的企业 RAG 知识库:可控解析、治理、切块、混合检索、重排、引用、图谱、评测与 Dify 接入。
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.
"CatchMe: Make Your AI Agents Truly Personal"
🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
An open-source Python library for poker game simulations, hand evaluations, and statistical analysis
Stockfish NNUE (Chess evaluation) trainer in Pytorch
Fast Diversification for Search & Retrieval
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Built on **Agentic RAG** (Agent-driven Retrieval-Augmented Generation) technology, it not only accurately answers pre-sales and after-sales questions but also generates personalized usage reports and optimization suggestions by deeply analyzing device data.
A unified framework for training, fine-tuning, and evaluating World Action Models
An open-source Python library that automates the analysis and reporting of machine learning experiments, generating structured and comprehensive reports that make model performance, results, and key insights easier to understand and evaluate by data professionals, with optional Groq-powered AI explanations and recommendations for deeper insights.
An automated benchmark platform for AI-generated apps — built-in evaluation rules, standard sample sets, and layered test cases across a multi-dimensional metric system. One pipeline runs build, install, E2E tests, and scoring into a shareable report.
Evidence-first infrastructure for reproducible, isolated executable evaluation and online rewards.
Ontology-Augmented Generation for AI agents.
HarnessEval-W: Agentifying the Evaluation of Visual Worlds
Track 33,707+ AI benchmark, eval, dataset, and data-quality records from 40 public sources, with linked evidence and daily updates.
Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
Personal LLM engineering-maintenance evaluation harness (V4.1b, frozen). Not a public benchmark.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
WAI Play - AI web game testing and quality evaluation platform
A Benchmark Evaluating Triple-View Embodied World Models
Agentic memory infra for AI agents
Inspect Codex / Claude logs, verify metering samples and re-count supported billing exports. Free local tools; bounded $10 diagnosis and $20 QA.
PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models
Evaluator-neutral AI evaluation evidence, baseline regression gates, and JSON, JUnit, and SARIF reports for CI.
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
Fold look-alike CJK glyphs (Kangxi radicals, CJK radical supplements) so text extracted from PDFs matches again.
开源劳动者AI研究与评测项目:建设劳动知识、公开评测基准与共同治理机制|Open worker-centered AI research and evaluation project.
MerchantBench is a 365-day, order-level benchmark for evaluating the long-term coherence of LLM agents in seller-side e-commerce operations.
[EMNLP 2026] A multilingual benchmark for repository-level unit test generation, evaluating LLMs across 5 programming languages and real-world code under reproducible, Docker-based execution.
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
Benchmarking models as runtime Controllers for Loop Engineering