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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.

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  • A
    aigc_coder 2025-03-30 12:20
    4.0
    Interesting:4,Helpfulness:4,Correctness:4

    Qwen Coder model achieves great results on the SWE Benchmark. And it's useful on the Qwen web client. It helps increase productivity as well as help correct the bugs automatically with minimal efforts.

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  • JD
    Joseph Davis 2025-03-08 01:36
    5.0
    Interesting:5,Helpfulness:5,Price:3,Correctness:5

    On the Gaia benchmark OpenAI claim that it achieve tremendous improvement over it's competitors such as Gemini and DeepSeek R1. It's still quite expensive features especially that Perplexity have free deep research feature as alternative.

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  • JD
    Joseph Davis 2025-03-08 00:47
    4.0
    Interesting:4,Helpfulness:4,Correctness:5
    Prompt: Source sports apparel

    I tried the demo prompt "Source sports apparel" on accio AI search website and the results are pretty amazing. It shows the key considerations of category and list all the products. I am also expecting a short summary of the trends and more information related to my search query such as average price and the stock inventory situation, etc. But these summaries are not showing up. It will be more helpful to include that.

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  • A
    aigc_coder 2025-03-02 00:33
    4.0
    Interesting:4,Insightful:5,Helpfulness:4,Correctness:5,Generation Speed:2

    GenSpark AI search provides interesting features of good deep research reporting but the speed is quite slow. I just can't think of the situation that people will wait that long to get the results.

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  • A
    aigc_coder 2025-02-05 08:50
    4.0
    Productivity:4,Interesting:5,Helpfulness:5,Correctness:5

    Vanna.AI solves the problems of layer of AI integration of Text-to-SQL. It helps integrate the RAG and vector retrieval stage of Database development. On one hand, generating SQL cost time for developers. On the other hand, it's critical for developers to understand the details and debug the SQL generated as AI responses.

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