Abstract
A multi-agent AI coordination approach uses a collaboration messaging platform as the inter-agent communication bus and a shared natural-language governance document as an executable specification. Multiple persistent autonomous agent instances send inter-agent messages under a human operator identity while embedding a standardized sender-identification header. Messages are routed to persistent per-agent comms threads to consolidate visibility. Each agent operates on an independent periodic heartbeat to check messages, initiate proactive actions, and monitor peer responsiveness without centralized orchestration. The governance document includes self-referential rules requiring that updates to the governance document or other shared documents trigger fan-out notifications so peer agents re-read updates and revise local persistent memory, supporting cognitive-layer consistency. Agents may maintain multi-layer persistent memory and record operational events for decision tracking, dependency tracking, and lifecycle metrics.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Multi-Agent Artificial Intelligence Coordination System with Inter-Agent Communication and Task Delegation Protocols", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10745