Disclosed is
system enabling application of autonomous agents (AAs) across problem domains.
System comprises decentralised computing network to implement
software framework (SF). SF comprises
client-agent device (
client-AA) to receive service request (SR), generate objective in vector(s) recorded in vector
database (VD), send objective to agent-device (AA / micro-AA). Agent-device comprises context-builder
software module (CBSM) to send query(-ies) to
machine learning model agent (ML-Model AA) and / or access VD to retrieve task(s) associated with previous queries to obtain tasks associated with objective. CBSM to obtain order of task execution from ML-Model AA, to obtain
list including AAs, to block communication signals between
client-AA and AAs not associated with objective, to associate AA(s) with task(s); protocol generator
software module comprising domain-independent
protocol specification language (DIPSL) generate
protocol specification(PS(s)) for task execution by AA(s); build executor software module compose task(s) in order, compose AA into further
autonomous agent (further-AA), encrypt access to further-AA, further-AA implement PS(s) to execute each task and SR.