BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web
On the map: LLM agents and tool use → Agent threats, guardrails and governance
Abstract (arXiv)
The rapid development of large language models (LLMs) has significantly propelled the development of artificial intelligence (AI) agents, which are increasingly evolving into diverse autonomous entities, advancing the LLM-based multi-agent systems (LaMAS). However, current agentic ecosystems remain fragmented and closed. Establishing an interconnected and scalable paradigm for Agentic AI has become a critical prerequisite. Although Agentic Web proposes an open architecture to break the ecosystem barriers, its implementation still faces core challenges such as privacy protection, data management, and value measurement. Existing centralized or semi-centralized paradigms suffer from inherent limitations, making them inadequate for supporting large-scale, heterogeneous, and cross-domain autonomous interactions. To address these challenges, this paper introduces the blockchain-enabled trustworthy Agentic Web (BetaWeb). By leveraging the inherent strengths of blockchain, BetaWeb not only offers a trustworthy and scalable infrastructure for LaMAS but also has the potential to advance the Web paradigm from Web3 (centered on data ownership) towards Web3.5, which emphasizes ownership of agent capabilities and the monetization of intelligence. Beyond a systematic examination of the BetaWeb framework, this paper presents a five-stage evolutionary roadmap, outlining the path of LaMAS from passive execution to advanced collaboration and autonomous governance. We also conduct a comparative analysis of existing products and discuss key challenges of BetaWeb from multiple perspectives. Ultimately, we argue that deep integration between blockchain and LaMAS can lay the foundation for a resilient, trustworthy, and sustainably incentivized digital ecosystem. A summary of the enabling technologies for each stage is available at https://github.com/MatZaharia/BetaWeb.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 51 of its 118 references that are in the map. First posted on arXiv 19 Aug 2025.
Builds on
51 of 118 references.
Closest ancestors · 5
Same direction, newest first
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- 2025Trustless Autonomy: Understanding Motivations, Benefits, and Governance Dilemmas in Self-Sovereign Decentralized AI Agents14 May
- 2025Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents28 Apr
Other references · 46
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Built on by
Citing papers per year: 2026: 7.
7 papers.
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- 2026Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanismscited by 3
- 2026Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directionscited by 1
- 2026Distributed Legal Infrastructure for a Trustworthy Agentic Webcited by 0
- 2026Internal APIs Are All You Need: Shadow APIs, Shared Discovery, and the Case Against Browser-First Agent Architecturescited by 0
- 2026SW-A2-Bench: Benchmarking Autonomous Software Agent Generation for Agentic Webcited by 0
- 2026Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaborationcited by 0
- 2026Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directions5 Aug 2026
- 2026Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration29 Jun 2026
- 2026Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms28 May 2026
- 2026SW-A2-Bench: Benchmarking Autonomous Software Agent Generation for Agentic Web5 Apr 2026
- 2026Internal APIs Are All You Need: Shadow APIs, Shared Discovery, and the Case Against Browser-First Agent Architectures1 Apr 2026
- 2026Distributed Legal Infrastructure for a Trustworthy Agentic Web6 Mar 2026
- 2026Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web18 Jan 2026
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