The 2025 AI Agent Index

# The AI Agent Index. The 2025 AI Agent Index documents the origins, design, capabilities, ecosystem, and safety features of **30 prominent AI agents** based on publicly available information and correspondence with developers. Chat agents maintain lower autonomy (Level 1-3), browser agents operate at Level 4-5 with limited intervention, and enterprise agents move from Level 1-2 in design to Level 3-5 when deployed. ### Transparency Gap. Of the 13 agents exhibiting frontier levels of autonomy, only 4 disclose any agentic safety evaluations. Agent development concentrates in the US (21/30) and China (5/30), with markedly different approaches to safety frameworks and compliance documentation. Autonomy levels differ systematically by agent category. ### Autonomy levels differ systematically by agent category. Chat agents maintain Level 1–3 autonomy with turn-based interaction. Each agent was annotated across 45 fields of information, organised into six categories, by seven subject-matter experts, using only publicly available information and developer correspondence.

AI Agent行业深度分析

1. Top 10 AI Agents to Watch in 2025 🚀 – Zilliz blog

Whether you’re building enterprise search solutions or need a powerful research assistant for data-intensive projects, DeepSearcher represents the growing trend of open-source, customizable AI agents that bring DeepResearch-like capabilities to local environments. Google’s Project Astra is an advanced AI agent developed by DeepMind, designed to seamlessly integrate into daily life through multimod

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2. What AI AGENT You Should Build In 2025

Practical skills & tools to accelerate your career. ## What AI AGENT You Should Build In 2025. .jpg&w=1536&q=75). Top 3 AI Agent Trends for 2025. A Practical Framework for Building AI Agents. Q&A on the Agentic Ecosystem. Ex- GenAI Product Lead at MAANG Level Firms l AI PM Coach. Mahesh has 20 years of experience in building products at Meta, Microsoft and AWS AI teams. Mahesh has worked in all la

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3. Demystifying AI Agents in 2025: Separating Hype Fr

This piece builds on our recent white paper on automating workflows using LLMs and AI agents, and it aims to provide business leaders with a clear understanding of AI agents, market trends and strategic considerations for investment over the next six to 12 months. This distinction is critical for business leaders: GenAI is a powerful tool for content creation, but AI agents act as an operational l

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