Company mappings
Each mapping contains an evidence register drawn from primary sources, a three-column comparison of publicly demonstrated capability against the proposed architecture, public patent direction, and prioritised patent evolution opportunities for consideration before the updated provisional is finalised.
Publicly describes Agent2Agent as enabling autonomous agents built on different frameworks to discover one another, communicate, collaborate and hand off tasks; and documents Agent Engine Memory Bank for long-term agent memory.
Salesforce
Publicly describes Agentforce as an environment for building and orchestrating enterprise AI agents, with Data Cloud unified profiles, autonomous marketing orchestration and open agent interoperability.
Adobe
Publicly describes an agentic content supply chain connecting enterprise context, brand intelligence and AI agents across planning, creation, activation, delivery, reporting and insights.
Microsoft
Publicly documents agents with knowledge, tools, connected agents and persistent memory, together with multi-agent orchestration across enterprise data and systems.
Meta
Publicly describes a creator assistant that understands a creator's audience, engagement trends and performance, learns the creator's goals over time and provides increasingly personalised recommendations.
Amazon Web Services
Publicly documents AgentCore Memory maintaining short- and long-term memory so agents retain historical interactions, preferences and knowledge across sessions, and documents multi-agent collaboration under a supervising agent.
NVIDIA
Publicly documents agent toolkits, microservices and Omniverse Digital Twins; the twin work is principally physical and industrial and should not be treated as equivalent to behavioural creator/viewer twins.