Abstract
Systems and methods are described for the autonomous acquisition of procedural capabilities by decentralized artificial intelligence (AI) agents operating on client edge devices. For example, a hybrid hub-and-spoke architecture could be used, comprising a centralized platform functioning as a marketplace and decentralized agents on client devices, such as smartphones, wearable devices, or smart home appliances. An agent may identify a functional gap, discover a suitable capability on the platform via a standardized agent-to-agent communication protocol, and procure it using an agent-native payment protocol via cryptographically signed intent and cart mandates, potentially without human-in-the-loop confirmation. An acquired capability can then be securely ingested into an on-device vault, progressively loaded into the agent's active context window to prevent context bloat, and executed in a sandboxed environment. This framework can support a dynamic expansion of agent skills, which may reduce reliance on manual updates and enable a commercial ecosystem for developers.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gupta, Gaurav, "Autonomous Capability Acquisition for Decentralized AI Agents", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12059