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license: mit |
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# Benchmark Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP |
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This dataset is collected from AI Agent Marketplace Index and Directory at http://www.deepnlp.org, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc. |
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The dataset is helpful for AI researchers and practitioners to do analysis, write reports, monitor the trends and track the exponentially growth (though flat) of number of AI Agents in all fields. |
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To add and list your agent to the Agent Index, please visit [AI Agent Directory](http://www.deepnlp.org/store/ai-agent), use the the workspace [http://www.deepnlp.org/workspace/my_ai_services](http://www.deepnlp.org/workspace/my_ai_services) or using python API |
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To Search all agents, please use AI Agent Search Engine [Agent Search Engine](http://www.deepnlp.org/search/agent) |
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[Github AI Agent Marketplace](https://github.com/AI-Agent-Hub/AI-Agent-Marketplace) |
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[Pypi AI Agent Marketplace](https://pypi.org/project/ai-agent-marketplace/) |
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# Data Samples |
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## [github com](https://github.com/TheAgentCompany/TheAgentCompany) |
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<details> |
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### website |
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https://github.com/TheAgentCompany/TheAgentCompany |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-github-com/github-com |
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### description |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [openai com](https://openai.com/index/mle-bench/) |
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<details> |
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### website |
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https://openai.com/index/mle-bench/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-openai-com/openai-com |
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### description |
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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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [aimultiple](https://research.aimultiple.com/ai-coding-benchmark/) |
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<details> |
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### website |
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https://research.aimultiple.com/ai-coding-benchmark/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-aimultiple/aimultiple |
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### description |
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AI coding benchmarks are standardized tests designed to evaluate and compare the performance of artificial intelligence systems in coding tasks. Benchmarks primarily test … |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [convergence ai](https://convergence.ai/introducing-proxy/) |
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<details> |
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### website |
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https://convergence.ai/introducing-proxy/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-convergence-ai/convergence-ai |
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### description |
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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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [crypto briefing](https://cryptobriefing.com/deepseek-impact-ai-market/) |
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<details> |
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### website |
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https://cryptobriefing.com/deepseek-impact-ai-market/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-crypto-briefing/crypto-briefing |
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### description |
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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.. … |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [hajime ai](https://www.hajime.ai/) |
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<details> |
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### website |
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https://www.hajime.ai/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-hajime-ai/hajime-ai |
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### description |
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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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [princeton edu](https://agents.cs.princeton.edu/) |
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<details> |
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### website |
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https://agents.cs.princeton.edu/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-princeton-edu/princeton-edu |
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### description |
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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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [aimultiple com](https://research.aimultiple.com/ai-agents/) |
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<details> |
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### website |
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https://research.aimultiple.com/ai-agents/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-aimultiple-com/aimultiple-com |
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### description |
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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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [agentclinic github io](https://agentclinic.github.io/) |
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<details> |
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### website |
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https://agentclinic.github.io/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-agentclinic-github-io/agentclinic-github-io |
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### description |
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@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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [langbase com](https://langbase.com/state-of-ai-agents) |
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<details> |
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### website |
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https://langbase.com/state-of-ai-agents |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-langbase-com/langbase-com |
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### description |
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→ 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 && |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [mit edu](https://aiagentindex.mit.edu/) |
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<details> |
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### website |
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https://aiagentindex.mit.edu/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-mit-edu/mit-edu |
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### description |
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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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [digital information world](https://www.digitalinformationworld.com/2024/06/new-benchmark-shows-ai-agents.html) |
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<details> |
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### website |
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https://www.digitalinformationworld.com/2024/06/new-benchmark-shows-ai-agents.html |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-digital-information-world/digital-information-world |
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### description |
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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 |
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### category |
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Benchmark |
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### tags |
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</details> |
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## [Unity ML-Agents](https://github.com/Unity-Technologies/ml-agents/blob/develop/docs/ML-Agents-Overview.md) |
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<details> |
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### website |
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https://github.com/Unity-Technologies/ml-agents/blob/develop/docs/ML-Agents-Overview.md |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-unity-ml-agents/unity-ml-agents |
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### description |
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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' |
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### category |
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BENCHMARK |
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### tags |
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</details> |
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## [Webots](https://github.com/cyberbotics/webots) |
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<details> |
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### website |
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https://github.com/cyberbotics/webots |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-webots/webots |
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### description |
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Webots provides a complete development environment to model, program and simulate robots, vehicles and mechanical systems. |
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### category |
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BENCHMARK |
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### tags |
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</details> |
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## [Jericho](https://github.com/microsoft/jericho) |
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<details> |
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### website |
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https://github.com/microsoft/jericho |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-jericho/jericho |
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### description |
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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 |
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### category |
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BENCHMARK |
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### tags |
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</details> |
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## [OpenAI Gym](https://github.com/openai/gym) |
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<details> |
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### website |
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https://github.com/openai/gym |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-openai-gym/openai-gym |
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### description |
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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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### category |
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BENCHMARK |
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### tags |
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</details> |
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## [Habitat](https://aihabitat.org/) |
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<details> |
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### website |
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https://aihabitat.org/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-habitat/habitat |
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### description |
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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 |
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### category |
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BENCHMARK |
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### tags |
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</details> |
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## [PettingZoo](https://pettingzoo.farama.org) |
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<details> |
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### website |
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https://pettingzoo.farama.org |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-pettingzoo/pettingzoo |
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### description |
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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 |
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### category |
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BENCHMARK |
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### tags |
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</details> |
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## [SOTOPIA](https://docs.sotopia.world/) |
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<details> |
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### website |
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https://docs.sotopia.world/ |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-sotopia/sotopia |
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### description |
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SOTOPIA is the interactive Evaluation for Social Intelligence in Language Agents |
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website |
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github |
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### category |
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BENCHMARK |
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### tags |
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</details> |
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## [AirSim](https://github.com/microsoft/AirSim) |
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<details> |
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### website |
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https://github.com/microsoft/AirSim |
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### Agent Page |
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http://www.deepnlp.org/store/ai-agent/benchmark/pub-airsim/airsim |
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### description |
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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 realit |
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### category |
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BENCHMARK |
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### tags |
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</details> |
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