Design and connect reusable modules, agents and workflows into systems.
Specialized agents coordinating in real time across the platform.
Deterministic execution and live pipeline telemetry across workflows.
Design flexible enterprise agent networks the same way you'd architect any other system: compose modules, wire up tools, and let orchestration and guardrails run underneath.
// The problem
// Platform architecture
A drag-and-drop workspace for composing agent topologies — setting prompts, wiring up tools like APIs, databases and browsers, and defining communication graphs.
Handles asynchronous message passing, goal breakdown, parallel tool execution and context handoff, with TensorRT-LLM keeping time-to-first-token low across multi-turn handoffs.
Gives agents vision, audio and code-parsing ability, with real-time safety guardrails applied continuously to every output.
Deploys heterogeneous models — LLMs, vision encoders, embeddings — across shared GPU hardware, routing requests dynamically based on load.
Maintains distributed long-term agent memory and RAG, using GPU-accelerated vector search and graph analytics across enterprise databases.
// NVIDIA technology integration
// Edge to cloud
agent network topology
Cloud engine
Edge nodes
// Roadmap
Optimize model serving latency for multi-turn agent loops.
Launch concurrent multi-model serving across cloud clusters.
Integrate GPU-accelerated vector memory for long-horizon RAG.
Deploy real-time safety enforcement across agent interactions.
Enable offline, low-power edge agent deployment.
Cloud environments, code repositories and platform demonstrations are available securely through enterprise SSO on request.
modulens.lk — AI system design & modular agent platform