{"content_name": "github com", "publisher_id": "pub-github-com", "website": "https://github.com/TheAgentCompany/TheAgentCompany", "statistic": {"Bing Rank": 34.1, "Google Rank": 50.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "  ", "month": "202503", "content": ""}
{"content_name": "openai com", "publisher_id": "pub-openai-com", "website": "https://openai.com/index/mle-bench/", "statistic": {"Bing Rank": 39.9, "Google Rank": 52.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "OpenAI's Deep Research is an advanced AI agent integrated into ChatGPT, designed to autonomously conduct comprehensive, multi-step research tasks on the internet. <h3>Introduction</h3> Deep Research l", "month": "202503", "content": ""}
{"content_name": "aimultiple", "publisher_id": "pub-aimultiple", "website": "https://research.aimultiple.com/ai-coding-benchmark/", "statistic": {"Bing Rank": 47.9, "Google Rank": 70.9}, "subfield": "Benchmark", "field": "AI AGENT", "description": "AI coding benchmarks are standardized tests designed to evaluate and compare the performance of artificial intelligence systems in coding tasks. Benchmarks primarily test \u2026", "month": "202503", "content": ""}
{"content_name": "convergence ai", "publisher_id": "pub-convergence-ai", "website": "https://convergence.ai/introducing-proxy/", "statistic": {"Bing Rank": 133.9, "Google Rank": 200.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "Convergence\u2019s Proxy ahead in top agent benchmark, beats OpenAI and Anthropic We are extremely excited to announce the launch of Proxy, our automated AI assistant. ... For example, our Parallel Agents ", "month": "202503", "content": ""}
{"content_name": "crypto briefing", "publisher_id": "pub-crypto-briefing", "website": "https://cryptobriefing.com/deepseek-impact-ai-market/", "statistic": {"Bing Rank": 141.5, "Google Rank": 200.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "The AI agent market cap has plunged over $2.5 billion in the past 24 hours, dropping from $12.9 billion to just over $10.2 billion, according to data from cookie.fun.. \u2026", "month": "202503", "content": ""}
{"content_name": "hajime ai", "publisher_id": "pub-hajime-ai", "website": "https://www.hajime.ai/", "statistic": {"Bing Rank": 143.4, "Google Rank": 200.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "Focus your efforts and resources on developing your AI Agents, while we handle the rest and prepare you for a future where agents will work together to innovate. Our platform is designed to offer an e", "month": "202503", "content": ""}
{"content_name": "princeton edu", "publisher_id": "pub-princeton-edu", "website": "https://agents.cs.princeton.edu/", "statistic": {"Bing Rank": 15.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "AI agents are an exciting new research direction, and benchmarks are crucial for driving progress. However, current agent benchmarks and evaluation practices reveals several shortcomings that hinder t", "month": "202503", "content": ""}
{"content_name": "aimultiple com", "publisher_id": "pub-aimultiple-com", "website": "https://research.aimultiple.com/ai-agents/", "statistic": {"Bing Rank": 31.8}, "subfield": "Benchmark", "field": "AI AGENT", "description": "AI agents are autonomous software systems that plan and act to achieve given tasks or goals. They are equipped with aggregated knowledge and experience of human experts and access to relevant data. We", "month": "202503", "content": ""}
{"content_name": "agentclinic github io", "publisher_id": "pub-agentclinic-github-io", "website": "https://agentclinic.github.io/", "statistic": {"Bing Rank": 41.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "@misc{schmidgall2024agentclinic, title={AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments}, author={Samuel Schmidgall and Rojin Ziaei and Carl Harris and Edua", "month": "202503", "content": ""}
{"content_name": "langbase com", "publisher_id": "pub-langbase-com", "website": "https://langbase.com/state-of-ai-agents", "statistic": {"Bing Rank": 43.4}, "subfield": "Benchmark", "field": "AI AGENT", "description": "\u2192 Dismiss \u2318 NEW Agent Architectures Composable AI Email Agents \u2318 Step #0 Step #0 # mkdir ai-email-agent && cd ai-email-agent mkdir  ai-email-agent  &&  cd  ai-email-agent  Copy Copied! npm init -y && ", "month": "202503", "content": ""}
{"content_name": "mit edu", "publisher_id": "pub-mit-edu", "website": "https://aiagentindex.mit.edu/", "statistic": {"Bing Rank": 45.0}, "subfield": "Benchmark", "field": "AI AGENT", "description": "To fill this gap, we introduce The AI Agent Index, the first public database to document information about currently deployed agentic AI systems. How did we collect the data? From August 2024 to Janua", "month": "202503", "content": ""}
{"content_name": "digital information world", "publisher_id": "pub-digital-information-world", "website": "https://www.digitalinformationworld.com/2024/06/new-benchmark-shows-ai-agents.html", "statistic": {"Bing Rank": 49.7}, "subfield": "Benchmark", "field": "AI AGENT", "description": "A customer experience AI startup, Sierra, has developed a new benchmark that helps in evaluating the performance of AI chatbot agents. The benchmark is named TAU-bench and is evaluated by having conve", "month": "202503", "content": ""}
{"content_name": "Unity ML-Agents", "publisher_id": "pub-unity-ml-agents", "website": "https://github.com/Unity-Technologies/ml-agents/blob/develop/docs/ML-Agents-Overview.md", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "Unity Machine Learning Agents Toolkit enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning, leveraging Unity'", "month": "202503", "content": ""}
{"content_name": "Webots", "publisher_id": "pub-webots", "website": "https://github.com/cyberbotics/webots", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            Webots provides a complete development environment to model, program and simulate robots, vehicles and mechanical systems.\n        ", "month": "202503", "content": ""}
{"content_name": "Jericho", "publisher_id": "pub-jericho", "website": "https://github.com/microsoft/jericho", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "Jericho is a lightweight python-based interface connecting learning agents with interactive fiction games, which focuses on interactive fiction games, enabling research in natural language understandi", "month": "202503", "content": ""}
{"content_name": "OpenAI Gym", "publisher_id": "pub-openai-gym", "website": "https://github.com/openai/gym", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "OpenAI Gym is A standard toolkit for developing and comparing reinforcement learning (RL) algorithms. It offers a variety of tasks like Atari games and control problems.", "month": "202503", "content": ""}
{"content_name": "Habitat", "publisher_id": "pub-habitat", "website": "https://aihabitat.org/", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            Habitat: A Platform for Embodied AI Research is the original paper published on ICCV. Habitat enables training embodied agents (virtual robots) in highly efficient photorealistic 3D simul", "month": "202503", "content": ""}
{"content_name": "PettingZoo", "publisher_id": "pub-pettingzoo", "website": "https://pettingzoo.farama.org", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            PettingZoo is a python interface capable of general multi-agent reinforcement learning (MARL) problems. PettingZoo includes a wide variety of reference environments, helpful utilities, an", "month": "202503", "content": ""}
{"content_name": "SOTOPIA", "publisher_id": "pub-sotopia", "website": "https://docs.sotopia.world/", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            SOTOPIA is the interactive Evaluation for Social Intelligence in Language Agents\n        \nwebsite\ngithub\n", "month": "202503", "content": ""}
{"content_name": "AirSim", "publisher_id": "pub-airsim", "website": "https://github.com/microsoft/AirSim", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            AirSim is developped by Microsoft Research as a simulation platform for AI research and experimentation. For example, drone delivery is no longer a sci-fi storyline\u2014it\u2019s a business realit", "month": "202503", "content": ""}
{"content_name": "DeepMind Lab", "publisher_id": "pub-deepmind-lab", "website": "https://github.com/google-deepmind/lab", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n        DeepMind Lab is A 3D environment tailored for training and evaluating reinforcement learning agents, which provides a suite of challenging 3D navigation and puzzle-solving tasks for learning ", "month": "202503", "content": ""}
{"content_name": "AgentClinic", "publisher_id": "pub-agentclinic", "website": "https://agentclinic.github.io", "statistic": {"Bing Rank": 50.0}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            AgentClinic is a multimodal agent benchmark to evaluate AI in simulated clinical environments. \n            Keywords: clinical scenarios, Benchmark, multimodal\n        ", "month": "202503", "content": ""}
{"content_name": "FinBen", "publisher_id": "pub-finben", "website": "https://github.com/The-FinAI/PIXIU", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            FinBen is open-source evaluation benchmark, including 36 datasets spanning 24 financial tasks, covering seven critical aspects: information extraction (IE), textual analysis, question ans", "month": "202503", "content": ""}
{"content_name": "Minecraft Project Malmo", "publisher_id": "pub-minecraft-project-malmo", "website": "https://www.microsoft.com/en-us/research/project/project-malmo/", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            Minecraft is a computer game ideal for artificial intelligence research, it is addictively appealing to the millions of fans who enter its virtual world every day.\n            It offers i", "month": "202503", "content": ""}
{"content_name": "Magentic One", "publisher_id": "pub-magentic-one", "website": "https://www.microsoft.com/en-us/research/publication/magentic-one-a-generalist-multi-agent-system-for-solving-complex-tasks/", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "Magentic-One is a high-performing generalist agentic system designed to solve complicated tasks. It employs a multi-agent architecture where a lead agent, the Orchestrator, directs four other agents t", "month": "202503", "content": ""}
{"content_name": "Mujoco", "publisher_id": "pub-mujoco", "website": "https://github.com/google-deepmind/mujoco", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "Offers fast and accurate physics simulation, commonly used for robotic control tasks. MuJoCo means Multi-Joint dynamics with Contact, which is a general purpose physics engine that aims to facilitate ", "month": "202503", "content": ""}
{"content_name": "AndroidLab", "publisher_id": "pub-androidlab", "website": "https://github.com/THUDM/Android-Lab", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            AndroidLab is a systematic Android agent framework, which includes an operation environment with different modalities, action space, and a reproducible benchmark. It supports both large l", "month": "202503", "content": ""}
{"content_name": "TextWorld", "publisher_id": "pub-textworld", "website": "https://www.microsoft.com/en-us/research/project/textworld/", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "A framework for learning agents in text-based games and environments. TextWorld is A text-based game generator developed by Microsoft. It provides an open-source, extensible engine that both generates", "month": "202503", "content": ""}
{"content_name": "AndroidWorld", "publisher_id": "pub-androidworld", "website": "https://arxiv.org/abs/2405.14573", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            AndroidWorld is a Dynamic Benchmarking Environment for Autonomous Agents. Autonomous agents that execute human tasks by controlling computers can enhance human productivity and applicatio", "month": "202503", "content": ""}
{"content_name": "PyBullet", "publisher_id": "pub-pybullet", "website": "https://github.com/bulletphysics/bullet3", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            Bullet is the official C++ source code repository of the Bullet Physics SDK, which contains real-time collision detection and multi-physics simulation for VR, games, visual effects, robot", "month": "202503", "content": ""}
{"content_name": "AI Hospital", "publisher_id": "pub-ai-hospital", "website": "https://github.com/LibertFan/AI_Hospital", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            AI Hospital is a LLM-powered multi-agent framework that simulates real-world dynamic medical interactions. AI Hospital consists of multiple non-player characters (NPCs), including Patient", "month": "202503", "content": ""}
{"content_name": "Gazebo", "publisher_id": "pub-gazebo", "website": "https://github.com/gazebosim", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            Gazebo is a simulator with a complete toolbox of development libraries and cloud services to make simulation.\n        ", "month": "202503", "content": ""}
{"content_name": "CARLA", "publisher_id": "pub-carla", "website": "https://carla.org", "statistic": {}, "subfield": "BENCHMARK", "field": "AI AGENT", "description": "\n            CARLA is an open-source simulator for autonomous driving research, which can support support development, training, and validation of autonomous driving systems. It also provides open dig", "month": "202503", "content": ""}