toolspool
RunLLM logo

RunLLM

verifiedFreemiumAPIrunllm.com

AI SRE agent that maps your codebase and infrastructure to detect anomalies and produce root-cause analyses before an alert fires.

What it does

RunLLM has rebranded to Herald, an AI 'SRE' agent that builds a context graph of a company's code, infrastructure, CI/CD, and documentation to learn what normal system behavior looks like. It then detects anomalies without manually configured alert thresholds and investigates issues across data sources to deliver a root-cause analysis, aiming to catch problems before customers notice or alerts page an engineer.

How to use: To use RunLLM, users can provide a link to their documentation, and the platform will instantly begin building their AI Support Engineer. The trained agent can then be validated and deployed across various channels like Slack, Discord, Zendesk, or the company's documentation site to deliver instant, accurate support.

Core features

Automated context graph built from codebase, infra, CI/CD and docs
Anomaly detection without manually set alert thresholds
Multi-hypothesis investigation producing root-cause analyses in minutes
No runbook required for novel incidents
Reported 70%+ accuracy on novel incidents in production use
SOC 2 Type II certified data handling

Best for

→SRE/DevOps teams wanting earlier detection of infrastructure issues
→Engineering teams reducing time spent writing and maintaining runbooks
→On-call engineers wanting a pre-drafted root-cause analysis before paging

Pricing

Individual
$20/month
Teams
$40/user
Toolspool rankingby monthly traffic

Reviews

Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.

Learn Ollama in 15 Minutes - Run LLM Models Locally for FREE
Tech With Tim · 1.0M views

Tutorials

Step-by-step: exactly how to get things done with it.

How to Run LLMs Locally - Full Guide
Tech With Tim · 127K views
How to run LLMs locally [beginner-friendly]
IndividualKex · 109K views