Paper page - ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation

Source: https://huggingface.co/papers/2604.19211

Abstract

AI agents must evolve beyond individual task automation to enable secure, governed collaboration among multiple users through a human-symbiotic paradigm with identity-based governance mechanisms.

Current AI agent frameworks have made remarkable progress in automating individual tasks, yet all existing systems serve a single user. Human productivity rests on the social and organizational relationships through which people coordinate, negotiate, and delegate. When agents move beyond performing tasks for one person to representing that person in collaboration with others, the infrastructure for cross-user agent collaboration is entirely absent, let alone the governance mechanisms needed to secure it. We argue that the next frontier for AI agents lies not in stronger individual capability, but in the digitization of human collaborative relationships. To this end, we propose ahuman-symbiotic agent paradigm. Each user owns a permanently bound agent system that collaborates on the owner’s behalf, forming a network whose nodes are humans rather than agents. This paradigm rests on three governance primitives. Alayered identity architectureseparates aManager Agentfrom multiple context-specificIdentity Agents; theManager Agentholds global knowledge but is architecturally isolated from external communication.Scoped authorizationenforces per-identity access control and escalates boundary violations to the owner.Action-level accountabilitylogs every operation against its owner’s identity and authorization, ensuring full auditability. We instantiate this paradigm inClawNet, anidentity-governed agent collaboration frameworkthat enforcesidentity bindingandauthorization verificationthrough a central orchestrator, enabling multiple users to collaborate securely through their respective agents.

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