Agent Artifacts
Explore xApps, rApps, models, datasets, and more in the TelcoFabric ecosystem. Filter by category to find the tools you need.
Explore xApps, rApps, models, datasets, and more in the TelcoFabric ecosystem. Filter by category to find the tools you need.
An AI-driven monitoring agent designed to track key network KPIs, including UL/DL throughput, Signal-to-Noise Ratio (SNR), and pZeroNominal values for PUCCH and PUSCH, in cloud-native 5G O-RAN networks. The agent dynamically queries VictoriaMetrics and provides structured KPI responses to higher-layer agents within the multi-agent workflow.
An AI-driven validation agent designed to evaluate power-related configuration parameters, including pZeroNominal for PUCCH and PUSCH, within an Amarisoft-based 5G network Digital Twin. The agent dynamically deploys a digital twin instance, executes controlled traffic simulations, and measures achieved uplink throughput to generate performance validation results.
An AI-driven config planner agent that designs cell reconfiguration strategies to optimize network performance. It coordinates with the Monitoring Agent to retrieve KPI context and with the Validation Agent to assess candidate configurations before recommending an optimized reconfiguration plan to higher-layer agents.
Hermes is an intelligent API agent for managing 5G O-RAN network resources through natural language interaction. It enables conversational deployment, retrieval, modification, and deletion of network entities such as terminals, networks, and infrastructure elements, with automatic YAML generation and schema validation for cloud-native network environments.
The Service Management and Orchestration (SMO) Agent processes high-level intents for network lifecycle management, including deployment, monitoring, and deletion. It operates on top of the Hermes API Agent, translating service-level intents into structured orchestration requests.
An orchestration agent designed to supervise and coordinate task specific agents within a multi-agent architecture. It decomposes complex high level intents into structured execution plans, where each step is handled by a specialized agent.
An anomaly detection agent designed to identify uplink interference and abnormal RAN behavior in 5G networks using Long Short-Term Memory (LSTM) autoencoder models. The agent provides real-time and historical anomaly detection, severity attribution, KPI-level explainability, and recommended mitigation actions for autonomous RAN operations.