1.trycua / cua
Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
- apple
- cua
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- virtualization
- virtualization-framework
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Ranked by Attention Score: stars gained over the last 7 complete days
52 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
Model fingerprint detection with a shared Web and Bun CLI reference bank
TranslatedOpen-source AI API relay benchmark, rankings & switcher for Claude Code / Codex: measured availability, latency and price
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
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.
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
This is the official repo for paper InteractiveWorld A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
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.
🔥 The first-ever interactive streaming video generation benchmark.
Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.
Investor’s Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
The LLM Evaluation Framework
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
the LLM vulnerability scanner
The repository host gives no description.
GVS5H: Five Qwen3.8-27B Models Match Claude Fable 5 on LiveCodeBench Hard | Fable 5 Level Coding for a Fifth the Price - or on a Single GPU
Open-source AI brand visibility and competitor reports. Official website: https://niubigeo.ai/ | Paid services: AI testing by real people and GEO optimization. Pricing: https://niubigeo.ai/pricing
Aixio Layer v2 recovers editable layers from flat designs where possible. 150-design benchmark vs Canva Magic Layers, Qwen-Image-Layer and GPT-6 Astra Ultra.
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.
AI Observability & Evaluation
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
From a universe of models to Collective Model Intelligence.
Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents
A framework for few-shot evaluation of language models.
Official Repository of paper OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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.
How many bugs can LMs find & fix in large codebases?
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
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.
A Long-Horizon Benchmark for Self-Improving Inference Systems
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
Open-source observability for AI agents. Find where your agents fail, dispatch your coding agent to fix it, and verify the fix against real traces.
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Feather agent harness, training integrations, and evaluation tools for knowledge work
DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.