πͺ’ Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
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.
π§ Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 π
Laminar - open-source observability platform purpose-built for AI agents. YC S24.
Build, enrich, and transform datasets using AI models with no code
A test runner for agentskills.io-style AI agent skills
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.
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.
OrcaReplay β Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.
A reproducible local LLM benchmarking platform with versioned datasets, deterministic scoring, and auditable reports.
Bounded, evidence-driven SKILL.md evolution under frozen evaluation and safety contracts.
Jev-powered, rule-based grader for text files. Runs every rule against every line in parallel. No skimming, no missed lines.
Find the best AI models you can run
Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.