README.md

metadata

title: AgentBase Search Platform
emoji: 🔍
colorFrom: indigo
colorTo: purple
sdk: streamlit
sdk_version: 1.44.0
app_file: streamlit_app.py
pinned: false

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.

🌐 Project Page • 💻 Codebase • 📄 Paper

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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:

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

Indexing configurations:

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

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Related Resources

Resource	Description
AgentSearchBench-Tasks	Benchmark tasks for agent retrieval and reranking
AgentSearchBench-Agents	AgentBase: 9,759 real-world AI agents with metadata
AgentSearchBench-Responses	60K+ raw agent execution responses

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Citation

@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},
}