#multi-agent-systems
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Virtualizing Foundation Models via Self-Evolving OS Layers
The authors propose treating foundation models as hardware-like resources, managed by a self-evolving operating system layer that abstracts model complexity, optimizes resource allocation, and enables autonomous system evolution.
Securing Multi-Agent Systems with Cryptographic Identity
To prevent 'confused deputy' vulnerabilities in multi-agent systems, move away from static path-based security and implement identity-based delegation chains using SPIFFE, OAuth2, and cryptographic headers.
IBM TechnologyOptimizing Multi-Agent Systems via Action-State Communication
Efficient multi-agent systems require agents to communicate only essential action-state information rather than raw data, significantly reducing bandwidth and improving task coordination.
Belief Engine: Managing Stance Dynamics in Multi-Agent AI
The Belief Engine framework provides a structured, inspectable method for controlling how AI agents maintain and evolve their stances during multi-agent deliberation, moving beyond black-box reasoning.
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