Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
The LLM Evaluation Framework
AI Observability & Evaluation
the LLM vulnerability scanner
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新):目前已囊括374个大模型,覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型, 以及step3.5-flash、kimi-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。不仅提供排行榜,也提供规模超200万的大模型缺陷库!方便广大社区研究分析、改进大模型。
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
🐢 Open-Source Evaluation & Testing library for LLM Agents
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Evaluation and Tracking for LLM Experiments and AI Agents
Laminar - open-source observability platform purpose-built for AI agents. YC S24.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
Build, enrich, and transform datasets using AI models with no code
Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.
[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
Open-source benchmark for browser AI agents on daily tasks.
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
A curated, non-BS library of the best resources for building and evaluating AI agents — papers, blogs, talks, tools, benchmarks. Maintained by BenchFlow.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
A test runner for agentskills.io-style AI agent skills
Hire Google's Antigravity CLI (agy) as a fast Gemini staffer for Claude Code and OpenAI Codex.
A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
The platform for continuously improving AI agents.
Awesome papers involving LLMs in Social Science.
[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.
[NeurIPS D&B '25] The one-stop repository for LLM unlearning
🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
Give a coding agent a brief, not a chat, and it works on its own across sessions. Includes an example run: an open-world city built in a real game engine with no human help. In early development.
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
Evidence-first infrastructure for reproducible, isolated executable evaluation and online rewards.
DodoGuard: Take AI Agents to Production. Test, validate, and operate AI Agents before and after deployment.for Dify, Coze, FastGPT, n8n, Tencent ADP, ByteDance HiAgent, and more.
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.
OrcaReplay — Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Evaluator-neutral AI evaluation evidence, baseline regression gates, and JSON, JUnit, and SARIF reports for CI.
A reproducible local LLM benchmarking platform with versioned datasets, deterministic scoring, and auditable reports.
[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.
Bug Hunt Bench: 105 real bugs in two production repos, frontier coding models (GPT-6, Claude, Grok, Gemini, DeepSeek...) find and fix them in their own CLI, graded blind. Live leaderboard + every receipt.
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
OpenClaw + 大模型驱动的完整电商客服自动化系统:覆盖淘宝、拼多多、抖音、快手、小红书、视频号,包含浏览器/手机 Worker、订单物流与售后工具、记忆、回执、恢复和 Eval。
Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.
RISE: Red-teaming via Iterative Strategy Evolution (NeurIPS 2026)
Evaluate visual models on your own images, JSON Schema, and production constraints with LangGraph, Pareto analysis, and a no-key Replay demo.
Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.
Bounded, evidence-driven SKILL.md evolution under frozen evaluation and safety contracts.
Mini Program Engineering Skill Suite is an Agent Skill suite for evidence‑first mini‑program development. It helps agents bring WeChat or other mini‑program projects from vague intent to reliable engineering work: project intake, product specification, architecture, implementation, UI & device adaptation, debugging, verification, release readiness.
MCP gateway & OAuth MCP servers. LangGraph agent: memory, eval/tracking, PII guard, context trimming. Docker quick start for enterprise agents.