ColorEcosystem: Powering Personalized, Standardized, and Trustworthy Agentic Service in massive-agent Ecosystem

TL;DR

The paper tackles fundamental issues in the shift to massive-agent ecosystems—impersonal user experiences, lack of standardized management, and untrustworthy behavior. It introduces ColorEcosystem, a blueprint consisting of an agent carrier for personalization, an agent store for standardized management, and an agent audit for trustworthiness, with digital twins enabling nuanced user-centric interactions. It discusses transitional forms (GUI agents, decentralized audits) and practical incentives to encourage high-quality contributions, and outlines the path toward scalable, credible agentic services. The work highlights practical implementation considerations and argues that ColorEcosystem can largely improve user experience, interoperability, and safety in large-scale agent ecosystems, supported by open-source code for adoption and evaluation.

Abstract

With the rapid development of (multimodal) large language model-based agents, the landscape of agentic service management has evolved from single-agent systems to multi-agent systems, and now to massive-agent ecosystems. Current massive-agent ecosystems face growing challenges, including impersonal service experiences, a lack of standardization, and untrustworthy behavior. To address these issues, we propose ColorEcosystem, a novel blueprint designed to enable personalized, standardized, and trustworthy agentic service at scale. Concretely, ColorEcosystem consists of three key components: agent carrier, agent store, and agent audit. The agent carrier provides personalized service experiences by utilizing user-specific data and creating a digital twin, while the agent store serves as a centralized, standardized platform for managing diverse agentic services. The agent audit, based on the supervision of developer and user activities, ensures the integrity and credibility of both service providers and users. Through the analysis of challenges, transitional forms, and practical considerations, the ColorEcosystem is poised to power personalized, standardized, and trustworthy agentic service across massive-agent ecosystems. Meanwhile, we have also implemented part of ColorEcosystem's functionality, and the relevant code is open-sourced at https://github.com/opas-lab/color-ecosystem.

Figures (6)

• Figure 1: The development of agentic service. Previously, users interacted with the environment through single-agent or multi-agent systems to accomplish tasks. In the massive-agent ecosystem, developers will create and release massive-agentic service, allowing users to autonomously select different agentic service to accomplish tasks.
• Figure 2: The current problems of agentic services. (a) Impersonal agent services may fail to align with human intentions. (b) Non-standard agentic service management can cause additional difficulties for user invocation and business billing. (c) Both agentic service developers and users may be malicious.
• Figure 3: The Blueprint of ColorEcosystem. ColorEcosystem is a blueprint for a future agentic service ecosystem that ensures trustworthiness through agent audit, while integrating the standard interfaces of the agent store and the user-specific personalized properties of agent carriers.
• Figure 4: Example of agent carrier usage. Alice wants to invite Bob to dinner, so Alice's digital twin automatically sends an invitation to Bob's digital twin. Bob's digital twin notifies Bob of the invitation and proactively analyzes Bob's data, informing him that he has a conflicting meeting at the same time.
• Figure 5: From APP Store to Agent Store: The evolution from individually packaged apps to agentic service encompassing single or multiple functionalities.