mlsanityData to 14 Oct 2026

LLM-X: A Scalable Negotiation-Oriented Exchange for Communication Among Personal LLM Agents

arXiv 2605.11376 ↗First posted 12 May 2026cs.AIcited by 0

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

We propose a personal-LLM exchange (LLM-X), a scalable negotiation-oriented environment that enables direct, structured communication across populations of personal agents (LLMs), each representing an individual user. Unlike existing tool-centric protocols that focus on agent-API interaction, LLM-X introduces a message bus and routing substrate for LLM-to-LLM coordination with guarantees around schema validity and policy enforcement. We contribute: (1) an architecture for LLM-X comprising federated gateways, topic-based routing, and policy enforcement; (2) a typed message protocol supporting capability negotiation and contract-net-style coordination; and (3) the first empirical evaluation of LLM-based multi-agent negotiation at scale. Experiments span 5, 9, and 12 agents, under distinct negotiation policies (Low, Medium, High), and across both short-run (minutes) and long-run (2h, 12h) load conditions. Results highlight clear policy-performance trade-offs: stricter policies improve robustness and fairness but increase latencies and message volume. Extended runs confirm that LLM-X remains stable under sustained load, with bounded latency drift.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 20 of its 35 references that are in the map. First posted on arXiv 12 May 2026.

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20 of 35 references.

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Other references · 19

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  11. 2022Atlas: Few-shot Learning with Retrieval Augmented Language Modelscited by 952
  12. 2023Graph of Thoughts: Solving Elaborate Problems with Large Language Modelscited by 886
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  5. 2023Tab-CoT: Zero-shot Tabular Chain of Thoughtcited by 42
  6. 2023CGMI: Configurable General Multi-Agent Interaction Frameworkcited by 42
  7. 2023MoT: Memory-of-Thought Enables ChatGPT to Self-Improvecited by 38

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