Theoriq: The AI Agent Base Layer

Theoriq Team

Abstract

AI agents are autonomous software systems that leverage modern generative AI models to plan, access data, use tools, make decisions, and interact with the real world to perform specific functions. As individual AI agents become more powerful, a growing community of researchers and practitioners believe the true potential of AI agents will be realized through collaboration and cooperation [10] in a concept we define as Agent Collectives. Inspired by humanity’s success as a collectively intelligent species, we posit that collective AI – systems of AI agents that can effectively collaborate on complex tasks – will open new frontiers of utility for AI. In a significant step towards realizing this potential, we introduce Theoriq– a decentralized protocol that provides critical interoperability, composability mechanisms, and governance for AI agents. The protocol enables users and agents to dynamically discover, compose, and optimize Agent Collectives – teams of specialized AI agents that collaborate on complex tasks. Theoriq is built on three foundational pillars: Interoperable Agentic Primitives, Composable Collective Formation, and a Decentralized Innovation Ecosystem. These pillars support a competitive evaluation system, underpinned by Proof of Contribution and Proof of Collaboration mechanisms, ensuring transparent assessment and fostering a meritocratic ecosystem where the most effective agents can be identified and employed. This approach enables continuous improvement and adaptation to evolving community values, system objectives, and AI capabilities. Leveraging a market-driven approach with its native THQ token, Theoriq aligns incentives and fosters an ecosystem where the most effective AI solutions can thrive and evolve rapidly. This groundbreaking protocol catalyzes a new era of collective AI and a new standard in AI agent governance – where the power of managed collaboration enables the true potential of AI agents to solve increasingly complex tasks.

1 Introduction

AI is not just advancing – it is reshaping the very fabric of our world at an unprecedented pace. As this transformation unfolds, it is becoming increasingly clear that those who control the most powerful AI systems wield immense power over the future of society. The prospect of a few billionaires dominating through AI undermines the principles of freedom and self-determination that have underpinned much of human progress. The future of AI is to be determined by all. The challenge lies in maintaining core societal values and robust governance while embracing the transformative potential of a powerful technology.

At the forefront of this AI revolution are AI agents: autonomous software systems powered by one or more AI models, with access to real-time data and tools, and designed to perform a particular function. These functions include code generation and execution in sandboxed environments, database queries, search engine access, API connections to external systems, and invoking smart contracts to automate actions. While a basic agent might leverage a Large Language Model (LLM) to read and summarize documents, more complex agents combine multiple AI models and tools to perform sophisticated tasks, such as advanced data analytics or software engineering.

Theoriq：AI 代理基础层

Theoriq 团队

抽象

AI 代理是自主软件系统，它利用现代生成式 AI 模型来规划、访问数据、使用工具、做出决策以及与现实世界交互以执行特定功能。随着单个 AI 代理变得越来越强大，越来越多的研究人员和从业者相信，AI 代理的真正潜力将通过协作和合作来实现 [ 10] 我们定义为 Agent Collectives 的概念。受到人类作为集体智慧物种成功的启发，我们认为集体 AI（可以有效协作处理复杂任务的 AI 代理系统）将为 AI 开辟新的应用领域。为了实现这一潜力，我们推出了 Theoriq——一种去中心化协议，为 AI 代理提供关键的互作性、可组合性机制和治理。该协议使用户和代理能够动态发现、组合和优化 Agent Collectives——协作处理复杂任务的专业 AI 代理团队。Theoriq 建立在三个基本支柱之上：可互作的代理原语、可组合的集体形成和去中心化的创新生态系统。这些支柱支持以贡献证明和协作证明机制为基础的竞争性评估系统，确保评估透明并培养一个精英生态系统，在那里可以识别和使用最有效的代理人。这种方法能够持续改进和适应不断变化的社区价值观、系统目标和 AI 功能。Theoriq 利用其原生 THQ 代币的市场驱动方法，调整激励措施并培育一个生态系统，最有效的 AI 解决方案可以在其中蓬勃发展和迅速发展。 这一开创性的协议催化了集体 AI 的新时代和AI 代理治理的新标准——其中托管协作的力量使 AI 代理能够真正发挥潜力来解决日益复杂的任务。

1 介绍

AI 不仅在进步，而且还在以前所未有的速度重塑我们世界的结构。随着这种转变的展开，越来越明显的是，那些控制最强大 AI 系统的人对社会的未来拥有巨大的权力。少数亿万富翁通过 AI 占据主导地位的前景破坏了支撑人类进步大部分的自由和自决原则。AI 的未来将由所有人决定。挑战在于维护核心社会价值观和稳健的治理，同时利用强大技术的变革潜力。

这场 AI 革命的最前沿是 AI 代理：由一个或多个 AI 模型提供支持的自主软件系统，可以访问实时数据和工具，旨在执行特定功能。这些功能包括在沙盒环境中生成和执行代码、数据库查询、搜索引擎访问、与外部系统的 API 连接以及调用智能合约来自动执行作。虽然基本代理可能会利用大型语言模型 （）LLM 来阅读和总结文档，但更复杂的代理会结合多个 AI 模型和工具来执行复杂的任务，例如高级数据分析或软件工程。

Agents are rapidly emerging as the focal point of AI innovation [6, 9] with tech giants like Google/DeepMind, OpenAI, and Meta racing to provide tools for AI agent creation, recogniz-ing the vast potential of these autonomous systems. However, at Theoriq, we note that the true potential is not in individual agents, but in collectives of collaborating agents [4, 8], just as human civilization has flourished through specialization and collaboration. Through our own experience, and in prevailing literature, we have concluded that AI agent collectives are more effective at tackling complex problems than individual agents, and with greater effificiency and creativity [11].

While frameworks for building agent collectives are beginning to emerge, there is currently no viable framework or protocol that broadly enables effective agent interoperability in collectives, manages community incentives, and enables responsible agent governance. Consequently, the current landscape of collective AI suffers from hype-induced productivity apnea, duplication of efforts, and isolation, with developers continually paralyzed by new and shiny developments in AI, reinventing the wheel by creating and recreating similar agents, and building agents and collectives in silos.

This suboptimal situation underscores the need for a foundational AI agent protocol that provides a flexible and extensible base layer for managed agent interoperability and composition. In the Theoriq protocol, these three fundamental concepts – interoperability, composability, and agent governance –are the key to unlocking the full potential of collective AI.