https://edge-agent.ai Portal for Edge AI Agents and Agentic Edge Computing. Published by ForestHub.ai. en https://edge-agent.ai/edge-agent-hardware-support/ https://edge-agent.ai/edge-agent-hardware-support/ Which hardware the open-source edge-agents runtime runs on — Raspberry Pi 5, Jetson Orin Nano, x86 NUC, STM32MP25, Bosch Rexroth ctrlX CORE — with RAM, class, status, and an honest roadmap for bare-metal MCU and OPC-UA/Modbus. Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/edge-agent-quickstart/ https://edge-agent.ai/edge-agent-quickstart/ Step-by-step quickstart for the open-source edge-agents runtime: install the CLI, build a workflow, validate it, run the arm64 engine on a Raspberry Pi, and serve a local LLM — all offline, all copy-paste. Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/edge-agent-workflow-examples/ https://edge-agent.ai/edge-agent-workflow-examples/ Annotated sensor-to-action workflow patterns for the open-source edge-agents runtime — GPIO to PWM via agentChoice, UART sensor to MQTT via a local LLM agentTask, and a predictive-maintenance advisory loop. All on-device, all offline-capable. Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/edge-agents-vs-node-red/ https://edge-agent.ai/edge-agents-vs-node-red/ A fair, focused comparison of the open-source edge-agents runtime and Node-RED for building AI agents at the edge — local execution, industrial protocols, visual builder, agentic loop, and offline-first design. Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/open-source-edge-agent-runtime/ https://edge-agent.ai/open-source-edge-agent-runtime/ edge-agents is a ~30 MB open-source runtime that executes AI agent workflows directly on edge devices — Raspberry Pi, Jetson, STM32MP25, ctrlX CORE — offline by default, with GPIO/UART/MQTT as first-class nodes and local or cloud LLMs. Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/about/ https://edge-agent.ai/about/ Edge-agent.ai is an independent knowledge hub for edge AI agents and agentic edge computing, published by ForestHub.ai. Read our editorial charter and disclosure. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/best-edge-ai-agent-platforms/ https://edge-agent.ai/best-edge-ai-agent-platforms/ Fair comparison of edge AI agent platforms in 2026 — AWS IoT Greengrass, Azure IoT Edge, NVIDIA Jetson, Node-RED, n8n, and ForestHub.ai across 7 criteria. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/edge-agent-architecture/ https://edge-agent.ai/edge-agent-architecture/ Complete architectural reference for edge AI agent systems — edge node, gateway, agent runtime, model registry, observability, and hybrid sync layers with ASCII diagrams. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/edge-agent-orchestration/ https://edge-agent.ai/edge-agent-orchestration/ How multiple edge AI agents coordinate using agent registries, event buses, MQTT, OPC UA Pub/Sub, and distributed state management in industrial deployments. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/edge-agent-vs-cloud-agent/ https://edge-agent.ai/edge-agent-vs-cloud-agent/ Compare edge agents and cloud agents across latency, model size, privacy, cost, and reliability to choose the right architecture for your use case. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/edge-agents-for-machine-service/ https://edge-agent.ai/edge-agents-for-machine-service/ How edge AI agents serve as AI service technicians — combining machine documentation RAG, sensor context, and local LLMs to guide maintenance without cloud dependency. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/hybrid-edge-cloud-agents/ https://edge-agent.ai/hybrid-edge-cloud-agents/ How hybrid edge-cloud agent architectures split responsibilities — edge for latency, privacy, and offline resilience; cloud for reasoning, memory, and coordination. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/industrial-edge-agents/ https://edge-agent.ai/industrial-edge-agents/ How edge AI agents are deployed in industrial automation — OPC UA, Modbus, MQTT, S7 integration, IEC 62443 alignment, and real production patterns. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/local-llms-for-edge-devices/ https://edge-agent.ai/local-llms-for-edge-devices/ Which local LLMs actually run on edge hardware in 2026 — Llama 3.3, Phi-4, Gemma 3, Qwen3 — with quantization, inference engines, and honest hardware constraints. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/offline-ai-agents/ https://edge-agent.ai/offline-ai-agents/ Why offline-first AI agents matter for industrial and remote deployments, how to architect them for resilience, and how to synchronize state when connectivity returns. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/resources/ https://edge-agent.ai/resources/ Curated resources for edge AI agent practitioners — OPC Foundation, IEC 62443, EdgeX Foundry, llama.cpp, Ollama, OpenVINO, NVIDIA Triton, and key research papers. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://edge-agent.ai/what-is-an-edge-agent/ https://edge-agent.ai/what-is-an-edge-agent/ An edge agent is an autonomous AI software system that perceives, reasons, and acts on local edge hardware without requiring cloud connectivity for every decision. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb)