https://embedded-agent.com Knowledge hub for Embedded AI Agents — definitions, architecture, comparisons. Published by ForestHub.ai. en https://embedded-agent.com/embedded-agent-hardware-support/ https://embedded-agent.com/embedded-agent-hardware-support/ A neutral reference for the hardware classes that can host an embedded agent runtime, with RAM/arch/OS requirements, and the verified target list for the open-source edge-agents runtime — clearly separating Linux-class embedded (supported) from bare-metal MCU (roadmap). Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/embedded-agent-runtime-quickstart/ https://embedded-agent.com/embedded-agent-runtime-quickstart/ Step-by-step guide to deploying the open-source edge-agents runtime on Linux-class embedded hardware: author and validate a workflow, build the ARM64 engine container, wire GPIO/MQTT nodes, and optionally generate a workflow from plain language. Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/firmware-to-embedded-agent-runtime/ https://embedded-agent.com/firmware-to-embedded-agent-runtime/ How an agent runtime relates to conventional firmware and an RTOS: mapping the perception/reasoning/action/messaging layers onto the edge-agents typed-node model, and how the runtime coexists with a Linux/RTOS stack on hardware like the STM32MP25. Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/open-source-embedded-agent-runtime/ https://embedded-agent.com/open-source-embedded-agent-runtime/ What an open-source embedded agent runtime is, why offline-first and auditable execution matter for embedded teams, and a concrete reference: the edge-agents runtime (Go engine + TypeScript workflow model, OpenAPI contract). Thu, 04 Jun 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/about/ https://embedded-agent.com/about/ Editorial charter, authorship policy, disclosure of publisher identity, comparison methodology, and contact information for embedded-agent.com. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/agent-registry-for-embedded-systems/ https://embedded-agent.com/agent-registry-for-embedded-systems/ An agent registry lets embedded agents announce their capabilities, discover peers, and coordinate at the edge. This page covers registry models, protocols, and implementation patterns. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/best-embedded-agent-platforms/ https://embedded-agent.com/best-embedded-agent-platforms/ Structured comparison of five agent platforms across 12 criteria — local execution, MCU support, visual builder, agent registry, MQTT integration, and industrial fit. Fair verdicts included. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/embedded-agent-architecture/ https://embedded-agent.com/embedded-agent-architecture/ Deep-dive into embedded agent architecture: perception layer, reasoning engine, action layer, messaging stack, runtime models, and deployment topologies for edge AI systems. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/embedded-agent-vs-cloud-agent/ https://embedded-agent.com/embedded-agent-vs-cloud-agent/ Embedded agents execute locally on constrained hardware; cloud agents run on remote servers with vast compute. Compare latency, connectivity, privacy, cost, and capability trade-offs. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/embedded-agent-vs-firmware/ https://embedded-agent.com/embedded-agent-vs-firmware/ Embedded agents and firmware both run on constrained hardware, but differ in adaptability, state management, goal orientation, and interoperability. Here is the precise comparison. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/embedded-agent-vs-tinyml/ https://embedded-agent.com/embedded-agent-vs-tinyml/ TinyML is a model-compression and inference discipline; an embedded agent is an architectural pattern that may use TinyML as its reasoning engine. Here is the precise relationship. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/embedded-ai-agent/ https://embedded-agent.com/embedded-ai-agent/ An embedded AI agent combines autonomous agent behaviour with on-device machine-learning inference, enabling intelligent decisions without cloud dependency on constrained hardware. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/glossary/ https://embedded-agent.com/glossary/ Definitions for twelve essential terms in embedded and edge AI agent systems: Embedded AI Agent, TinyML, On-Device Inference, Hybrid Edge-Cloud Agent, Agent Registry, and more. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/industrial-embedded-agents/ https://embedded-agent.com/industrial-embedded-agents/ How embedded agents are deployed in industrial environments: OPC UA integration, Sparkplug B, safety constraints, ISA-95 context, and real-world deployment patterns in manufacturing. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/mqtt-for-embedded-agents/ https://embedded-agent.com/mqtt-for-embedded-agents/ Why MQTT dominates embedded agent messaging, how to choose QoS levels, design topic hierarchies for agent traffic, and configure brokers for multi-agent edge deployments. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/resources/ https://embedded-agent.com/resources/ Curated references for embedded AI agent development: TinyML Foundation, OASIS MQTT, OPC Foundation, ESP-IDF, STM32Cube.AI, Eclipse IoT, and key research papers. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb) https://embedded-agent.com/what-is-an-embedded-agent/ https://embedded-agent.com/what-is-an-embedded-agent/ An embedded agent is autonomous software that perceives its environment, makes decisions, and acts — running locally on constrained hardware without requiring cloud connectivity. Fri, 22 May 2026 00:00:00 GMT noreply@foresthub.ai (Marcus Rüb)