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AgentSearch/AgentBase-Platform

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AgentBase Search Platform

AgentBase is an interactive search demo for AI agent retrieval, built on nearly 10,000 real-world agents sourced from the GPT Store, Google Cloud Marketplace, and AgentAI Platform.

๐ŸŒ Project Page โ€ข ๐Ÿ’ป Codebase โ€ข ๐Ÿ“„ Paper


Overview

This Space is a live demo for AgentSearchBench: a large-scale benchmark for AI agent search. Given a natural language query, the platform retrieves the most relevant agents from AgentBase using a choice of retrieval models and indexing configurations.

Retrieval models:

  • โ€”BGE-Large โ€” dense retrieval using BAAI/bge-large-en-v1.5
  • โ€”ToolRet โ€” dense retrieval fine-tuned for tool search
  • โ€”BM25 โ€” sparse retrieval baseline
  • โ€”Keyword โ€” boolean keyword matching

Indexing configurations:

  • โ€”v1 โ€” all metadata columns with priority ordering (name and description weighted first)
  • โ€”naive โ€” agent name and description only

Related Resources

ResourceDescription
AgentSearchBench-TasksBenchmark tasks for agent retrieval and reranking
AgentSearchBench-AgentsAgentBase: 9,759 real-world AI agents with metadata
AgentSearchBench-Responses60K+ raw agent execution responses

Citation

bibtex
@article{wu2026agentsearchbench,
      title={AgentSearchBench: A Benchmark for AI Agent Search in the Wild}, 
      author={Bin Wu and Arastun Mammadli and Xiaoyu Zhang and Emine Yilmaz},
      year={2026},
      eprint={2604.22436},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
}