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- OllamaWatch — Catch Ollama Crashes Before Your Users Do (Telegram Alerts)
OllamaWatch — Catch Ollama Crashes Before Your Users Do (Telegram Alerts)
Get a Telegram alert the moment a model crashes, the GPU runs out of memory, or the API stops responding.
$7
Works with the AI tools you already use
OllamaWatch — Catch Ollama Crashes Before Your Users Do (Telegram Alerts)
Example session with this skill installed
My Ollama server keeps going down overnight and I don't know why. Run OllamaWatch and set up Telegram alerts so I get notified the moment it goes down or recovers.
- Read your context and instructions
- Compiled the ollamawatch
🔴 OLLAMA DOWN
http://localhost:11434
Error: Connection refused (is Ollama running?)
💡 Ollama is not running. Start with: ollama serve (or check the systemd/service).
2026-06-07 21:42:18 UTC
✅ OLLAMA RECOVERED
http://localhost:11434
Latency: 142 ms
Loaded: llama3.1:8b-instruct-q4_K_M
2026-06-07 21:47:33 UTC
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Stop babysitting your Ollama server. Get a Telegram alert the moment a model crashes, the GPU runs out of memory, or the API stops responding.
Built for homelabbers and self-hosters running Ollama 24/7 who don't want to pay for SaaS monitoring or refresh dashboards manually.
Features:
- DOWN alerts (🔴): instant notification when the API is unreachable, hung, or returning errors
- DEGRADED alerts (⚠️): CUDA OOM, runner crashes, log errors, GPU memory above 95%
- RECOVERED alerts (✅): service is back, includes latency and currently loaded models
- Smart alerting: fires only on state transitions, no spam
- Built-in fix hints: every alert includes a suggested remediation
- NVIDIA GPU monitoring via nvidia-smi (gracefully skipped on AMD/Intel/CPU-only setups)
- Cross-platform: Linux, macOS, Windows (auto-detects log paths)
- Single-file Python script: no Docker, no Node.js, no SaaS subscription
- MIT licensed
Install: pip install -r requirements.txt python3 ollamawatch.py check # one-shot health check python3 ollamawatch.py watch # continuous monitoring
Requires: Python 3.8+, Ollama (local or remote), free Telegram bot (5-min setup).
Use cases:
- Monitor a remote Ollama box you cannot see (headless homelab, VPS)
- Get woken up if an overnight batch job hangs the GPU
- Catch memory leaks before they take down your inference stack
- Detect when a model pull has stalled mid-download
- Replace expensive SaaS monitoring ($0/month vs $30+/month)
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Verified clean 3 months ago
- Passed all security checks, Safe to install