The problem
Security signal volume in 2026 is overwhelming for solo operators and small teams. CVE feeds alone produce 50-200 daily entries. Most aren't relevant to your stack. Manual triage is exhausting; missing the relevant ones is dangerous.
Recommended setup
| Agent | Hermes Agent with custom feed-watching tools |
| Hardware | Raspberry Pi 5 (8 GB): the workload is light |
| LLM | Claude 4.5 Sonnet, accuracy matters more than cost on security workloads |
How it works
Hermes Agent runs on a cron schedule (every 30 min) with a 'fetch CVE feed', 'check GitHub advisories for tracked repos' and 'tail server logs' tool set. Each cycle: pulls new entries, filters by your stack inventory (declared in config), summarises critical findings, posts to Telegram or Slack. Routine entries are filed to an audit log; only critical+stack-relevant items page you.
Reality check
We publish no alert counts for this setup. Its quality rests on how complete your stack inventory is: a component missing from the config is a CVE you will not hear about, and no agent reports what it never matched. Expect some noise at first and tune the filters to your stack. A missed alert is the failure you will not see, so check the inventory against what you actually run from time to time.
What breaks
- Sophisticated supply-chain attacks below CVE radar
- Stack inventory drift if you don't update the agent's config
- Heavy log analysis: for that you want a real SIEM, not an AI agent
Alternative setups
ZeroClaw with a local model through Ollama if your security feeds contain data you can't send to a cloud model. Slower triage with a local Llama; the prompts stay on your machine, though the agent still reaches the network to read the feeds.