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AI Agent Marketplace and Directory helps to list all AI Agents in Various Industry and Applications, such as Autonomous Agent, GUI Agent, Productivity Agent. You can find your desired AI Agents by using the AI Agent search engine also.

BENCHMARK

OpenAI's Deep Research is an advanced AI agent integrated into ChatGPT, designed to autonomously conduct comprehensive, multi-step research tasks on the internet. Introduction Deep Research leverages OpenAI's latest o3 model to perform in-depth analysis by autonomously browsing and synthesizing information from diverse online sources. It is capable of interpreting and analyzing vast amounts of tex

AI coding benchmarks are standardized tests designed to evaluate and compare the performance of artificial intelligence systems in coding tasks. Benchmarks primarily test …

Convergence’s 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 feature will allow two or more Proxies to harness the power of multitasking, future-proofing the system and doubling down on speed and ...

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 efficient, open, and secure environment for all AI agents, featuring the Hajime Benchmark DAO for performance assessment, and the Initial Agent ...

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.. …

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 their usefulness in real-world applications. ... We present five key findings from our analysis of AI agent benchmarks and evaluations. 1. Cost ...

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 benchmarked capabilities of web-focused AI agents by building our own agents. Follow the links to see our experience with the agents:

→ Dismiss ⌘ NEW Agent Architectures Composable AI Email Agents ⌘ 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 && touch index.ts && touch agents.ts npm init -y && touch index.ts && touch agents.ts Copy Copied! npm i langbase dotenv npm i langbase dotenv Copy Copied! Step #1 Step #1 # LANGBASE_API

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 January 2025, we identified agentic AI systems using web searches, academic literature review, benchmark leaderboards, and additional resources that ...

agentclinic-github-io/agentclinic-github-io

@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 Eduardo Reis and Jeffrey Jopling and Michael Moor}, year={2024}, eprint={2405.07960}, archivePrefix={arXiv}, primaryClass={cs.HC} }

digital-information-world/digital-information-world

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 conversations with LLM-stimulated users while doing complex tasks. The results show that AI agents which are made with simple LLMs are not able to ...

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 understanding.

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 and simulates text games, which are useful to train reinforcement learning (RL) agents to learn skills such as language understanding and grounding, combined with sequential decision making.

Gazebo is a simulator with a complete toolbox of development libraries and cloud services to make simulation.

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—it’s a business reality, which means there are new needs to be met. We’ve learned a lot in the process, and we want to thank this community for your engagement along the way.

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 simulation. Specifically, Habitat consists of: (i) Habitat-Sim: a flexible, high-performance 3D simulator with configurable agents, sensors, and generic 3D dataset handling. Habitat-Sim is fast – when rend

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 research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their

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 agents. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning.

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.

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