agessaman f7ed2f176d feat(mqtt): report slot connection health so an outage is visible
A slot that cannot establish TLS reported nothing. The per-slot counters
track publish successes and failures, and a slot that never connects never
attempts a publish -- so its ok count freezes and its error count stays at
zero for the entire outage. Observed on hardware: a slot sat dead for over
five hours while `sN=` showed 0 errors and the published status payload
carried no indication at all.

Two surfaces gain the missing signal:

- `get mqtt.stats` gains `down=<n>` (omitted when zero, like `filt=`) and
  marks each disconnected slot with a trailing `!`. The marker goes after
  the counts so existing "s(\d)=(\d+)/(\d+)" parsers keep matching.
- The published status payload gains `mqtt_slots_up`, `mqtt_slots_total`,
  `heap_largest`, and `mqtt_outage_secs`. These ride on every healthy slot's
  status message, because the slot that is down cannot report itself.

`mqtt_slots_up < mqtt_slots_total` is the condition to alert on.
`mqtt_outage_secs` is detail: it is present only when the outage has a known
start, so its absence does not imply health -- a slot that has never
connected since boot has no outage start time.

`heap_largest` is included because free heap alone does not predict a failed
connection. A slot needs one contiguous 16,384-byte block for its TLS record
buffers; measured immediately before an attempt this value predicted the
outcome in every observed case, while total free heap was 85 KB throughout a
multi-hour outage. A low value with every slot up is normal rather than a
fault -- established sessions already hold their buffers.

Publish-error semantics are unchanged: connect failures are not folded into
them.

Adds host coverage for the new fields, for the outage key's presence rule,
and for worst-case payload size. That last one matters because
serializeComplete() returns 0 and clears the buffer on overflow and the
bridge publishes only a positive length, so exceeding the 768-byte status
buffer would silently stop status publication -- the same blindness this
change exists to remove.
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About MeshCore

MeshCore is a lightweight, portable C++ library that enables multi-hop packet routing for embedded projects using LoRa and other packet radios. It is designed for developers who want to create resilient, decentralized communication networks that work without the internet.

🔍 What is MeshCore?

MeshCore now supports a range of LoRa devices, allowing for easy flashing without the need to compile firmware manually. Users can flash a pre-built binary using tools like Adafruit ESPTool and interact with the network through a serial console. MeshCore provides the ability to create wireless mesh networks, similar to Meshtastic and Reticulum but with a focus on lightweight multi-hop packet routing for embedded projects. Unlike Meshtastic, which is tailored for casual LoRa communication, or Reticulum, which offers advanced networking, MeshCore balances simplicity with scalability, making it ideal for custom embedded solutions, where devices (nodes) can communicate over long distances by relaying messages through intermediate nodes. This is especially useful in off-grid, emergency, or tactical situations where traditional communication infrastructure is unavailable.

MQTT Observer Setup — Prebuilt observer firmware, docs, and a changelog are at observer.gessaman.com. See the MQTT Implementation Guide for configuration, CLI commands, and troubleshooting.

⚡ Key Features

  • Multi-Hop Packet Routing
    • Devices can forward messages across multiple nodes, extending range beyond a single radio's reach.
    • Supports up to a configurable number of hops to balance network efficiency and prevent excessive traffic.
    • Nodes use fixed roles where "Companion" nodes are not repeating messages at all to prevent adverse routing paths from being used.
  • Supports LoRa Radios – Works with Heltec, RAK Wireless, and other LoRa-based hardware.
  • Decentralized & Resilient – No central server or internet required; the network is self-healing.
  • Low Power Consumption – Ideal for battery-powered or solar-powered devices.
  • Simple to Deploy – Pre-built example applications make it easy to get started.

🎯 What Can You Use MeshCore For?

  • Off-Grid Communication: Stay connected even in remote areas.
  • Emergency Response & Disaster Recovery: Set up instant networks where infrastructure is down.
  • Outdoor Activities: Hiking, camping, and adventure racing communication.
  • Tactical & Security Applications: Military, law enforcement, and private security use cases.
  • IoT & Sensor Networks: Collect data from remote sensors and relay it back to a central location.

🚀 How to Get Started

For developers:

The Simple Secure Chat example can be interacted with through the Serial Monitor in Visual Studio Code, or with a Serial USB Terminal on Android.

⚡️ MeshCore Flasher

We have prebuilt firmware ready to flash on supported devices.

  • Launch https://meshcore.io/flasher
  • Select a supported device
  • Flash one of the firmware types:
    • Companion, Repeater or Room Server
  • Once flashing is complete, you can connect with one of the MeshCore clients below.

📱 MeshCore Clients

Companion Firmware

The companion firmware can be connected to via BLE, USB or Wi-Fi depending on the firmware type you flashed.

Repeater and Room Server Firmware

The repeater and room server firmware can be set up via USB in the web config tool.

They can also be managed via LoRa in the mobile app by using the Remote Management feature.

🛠 Hardware Compatibility

MeshCore is designed for devices listed in the MeshCore Flasher

📜 License

MeshCore is open-source software released under the MIT License. You are free to use, modify, and distribute it for personal and commercial projects.

Contributing

Please submit PR's using 'dev' as the base branch! For minor changes just submit your PR and we'll try to review it, but for anything more 'impactful' please open an Issue first and start a discussion. It is better to sound out what it is you want to achieve first, and try to come to a consensus on what the best approach is, especially when it impacts the structure or architecture of this codebase.

Here are some general principles you should try to adhere to:

  • Keep it simple. Please, don't think like a high-level lang programmer. Think embedded, and keep code concise, without any unnecessary layers.
  • No dynamic memory allocation, except during setup/begin functions.
  • Use the same brace and indenting style that's in the core source modules. (A .clang-format is probably going to be added soon, but please do NOT retroactively re-format existing code. This just creates unnecessary diffs that make finding problems harder)

Help us prioritize! Please react with thumbs-up to issues/PRs you care about most. We look at reaction counts when planning work.

Running unit tests

To run unit tests, run the following command:

pio test --environment native --verbose

Road-Map / To-Do

There are a number of fairly major features in the pipeline, with no particular time-frames attached yet. In very rough chronological order:

  • Companion radio: UI redesign
  • Repeater + Room Server: add ACL's (like Sensor Node has)
  • Standardise Bridge mode for repeaters
  • Repeater/Bridge: Standardise the Transport Codes for zoning/filtering
  • Core + Repeater: enhanced zero-hop neighbour discovery
  • Core: round-trip manual path support
  • Companion + Apps: support for multiple sub-meshes (and 'off-grid' client repeat mode)
  • Core + Apps: support for LZW message compression
  • Core: dynamic CR (Coding Rate) for weak vs strong hops
  • Core: new framework for hosting multiple virtual nodes on one physical device
  • V2 protocol spec: discussion and consensus around V2 packet protocol, including path hashes, new encryption specs, etc

📞 Get Support

  • Report bugs and request features on the GitHub Issues page.
  • Find additional guides and components on my site.
  • Join MeshCore Discord to chat with the developers and get help from the community.
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