Features
Automatic alert investigation triggered by Slack alerts
Root cause analysis across logs, traces, metrics, and code
2–3 minute average time to root cause with citations
Natural language chat in Slack and web app for follow-ups
Auto-generated pull requests for fixes
Runbook and documentation updates
Linear ticket creation with full context
Rule-based alert noise reduction
Automatic priority ranking by business impact
Related alerts grouped into single incidents
Living knowledge graph mapping system architecture in real-time
Cross-references logs, traces, metrics, and code
Learns over time from feedback and past investigations
20+ integrations with observability and collaboration tools
No code changes required to integrate
Data Agent for data analysis with Python/SQL execution
Plugins Agent integrating 200+ third-party plugins
Web Agent for autonomous web browsing via Chrome extension
Auto plugin selection by the agent
Combined plugin usage for multi-step tasks
Chat-based web UI optimized for swift responses
Open-source full-stack code (backend + frontend)
Local deployment via Docker
Free online demo on OpenAgents website
Data visualization using Python libraries
Integration with 200+ plugins including Klarna, XWeather, Wolfram Alpha
Lemur foundation models for language agents (open-source)
Real-world evaluation and research support
Troubleshooting support via Discord
COLM 2024 publication with paper available
