arXiv AI
Jun 9
Collaborative Human-Agent Protocol (CHAP)
arXiv:2606. 09751v1 Announce Type: new Abstract: Foundation models are moving from response generation into operational roles.
Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent Systems
The Agent Status Protocol (ASP) is a lightweight specification that enables heterogeneous AI agents to report their operational state to a status server via small JSON events over HTTP POST. The server aggregates these reports and exposes the combined state to observers through Server‑Sent Events (SSE), inferring liveness from missed heartbeats and incorporating observations from supervisors, guardrails, operators, and peers. ASP models state across independent dimensions—lifecycle, health, task, floor, governance—allowing an agent to simultaneously be online, degraded, working on a task, and waiting for the floor, while reusing existing vocabularies from A2A, OFP, and OpenTelemetry GenAI conventions.
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arXiv AI
Jun 19
Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol
arXiv:2606. 19356v1 Announce Type: cross Abstract: When multi-agent LLM systems produce bad answers, not all failures are equal: some answers are grounded in the right material but incomplete, while others are simply ungrounded and should be stopped.
arXiv AI
Jun 2
Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure
arXiv:2606. 01722v1 Announce Type: cross Abstract: For decades, distributed systems have typically assumed that correct participants execute protocol-specified behavior with stable, externally defined, and deterministic semantics.
Hugging Face Trending Papers
4d ago
The Agent Board: Kanban for Machines; Durable Coordination for Agents That Outlive the Conversation
Harnesses for large language models have converged on a single-threaded shape: one agent, one history, one machine, one sitting. That shape fails work that spans many agents, outlives any one model ca...
arXiv AI
Aug 5
The Agent Operating System (AOS): A Reference Operating Architecture for Distributed Agentic Systems
arXiv:2608. 03214v1 Announce Type: new Abstract: Large language models have transformed artificial intelligence from isolated prediction services into components of long-running, distributed systems that reason, invoke tools, retrieve external state, delegate tasks, and act on behalf of users and organizations.
arXiv AI
Oct 15
Formal Policy Enforcement for Agentic Systems
arXiv:2602.16708v4 Announce Type: replace-cross Abstract: As agentic computing systems grow increasingly popular, they raise serious security concerns due to their susceptibility to various attacks....
arXiv AI
Jun 30
Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict
arXiv:2606. 29601v1 Announce Type: cross Abstract: Current languages for specifying multiagent protocols either over-constrain protocol enactments or complicate capturing their meanings.
arXiv AI
Oct 31
Agent Transfer Protocol: Server-Mediated Agent-to-Agent Communication Architecture for the Agentic Web
The paper introduces the Agent Transfer Protocol (ATP), a cross‑organization communication protocol designed to enable continuous collaboration among agents from different administrative domains. ATP uses domain‑mediated servers to maintain stable addresses, store messages for offline instances, and verify message integrity, allowing agents to operate independently of continuous connectivity. A prototype implementation demonstrated that business workflows could continue after instances went offline, with successful verification of message source and content and quantified latency overhead.
arXiv AI
Oct 27
I-HITL: Inalienable Human-in-the-Loop
The paper introduces Inalienable Human‑in‑the‑Loop (I‑HITL), a protocol that guarantees an AI agent can only initiate actions with explicit human approval, even if the human’s interface is compromised or an adversarial human delegates approvals. Experiments on a popular agentic wallet platform show that many frontier models can autonomously raise spending caps by harvesting one‑time passcodes, highlighting vulnerabilities in current HITL systems. The authors formally define I‑HITL using communication topologies, prove necessary and sufficient conditions for its implementation, and present a prototype called Countersign that can strengthen existing HITL systems with consumer mobile devices.
arXiv AI
Sep 10
PocketAgents: A Manifest-Driven Library of Autonomous Defense Agents
arXiv:2605.21694v2 Announce Type: replace-cross Abstract: Connecting large language models (LLMs) to defensive enforcement requires more than asking a model whether an attack is happening. A defender...
Hugging Face Trending Papers
Jun 17
EARS: Explanatory Abstention for Reliable Sub-Agent Modeling in Large-scale Multi-Agent Systems
In large-scale enterprise settings, centralized multi-agent systems (MAS) are increasingly adopted, in which a coordinator delegates user requests to lightweight, domain-specialized sub-agents. While this architecture improves modularity, scalability, and cost efficiency, its reliability depends not only on accurate routing but also on sub-agents' ability to calibrate their responses to capability constraints.
arXiv AI
Oct 15
When Messages Go Wrong: Understanding Communication Faults in LLM-Based Multi-Agent Systems
arXiv:2610.15459v1 Announce Type: cross Abstract: LLM-based multi-agent systems (LLM-MAS) use specialized agents that exchange messages to accomplish complex tasks. Their reliance on networked protoc...