IncidentFox is an AI SRE tool for teams that investigates alerts and prepares fixes. It is described as an AI incident investigator that debugs while users sleep, with the goal of taking an alert from detection to resolution in minutes. The product says it analyzes a codebase and past incidents to understand a stack, then auto-builds integrations and produces root cause findings and fix scripts for review and approval.
Its incident workflow centers on autonomous investigation. IncidentFox listens to alerts, queries logs, checks pod status, correlates with recent deploys, and works with actual systems such as Coralogix, Datadog, and CloudWatch. The page says it correlates logs, metrics, and deployment history, generates visual reports, and produces ready-to-run fix scripts. It also shows interactive follow-up in Slack, where screenshots, log files, configuration files, and other attachments can be shared in a thread while the agent keeps context from the investigation.
Slack is the main delivery surface described on the page: the product says everything happens in Slack, with thread-based memory and no setup required to try it. It also says users can install it to a workspace, try it free with no setup, and self-host it under an Apache 2.0 license. The page lists 40+ integrations, including PagerDuty, AWS, Datadog, Prometheus, Grafana, GitHub, Coralogix, Kubernetes, Elasticsearch, Splunk, Sentry, Jira, Linear, GitLab, OpsGenie, New Relic, PostgreSQL, MySQL, and Confluence. The site also states that it is backed by Y Combinator W26.
IncidentFox sits in PulseGate's LLM eval & observability category. It focuses on automating incident investigation and resolution to reduce downtime and manual debugging for engineering teams. IncidentFox is a B2B product aimed at SRE teams and DevOps engineers. IncidentFox is commercial open source. IncidentFox is available on the web.
IncidentFox first shipped in 2026. The GitHub repository has been archived. Key capabilities include incident investigation, root cause analysis, and fix script generation.
Summary written by a language model from the project’s public pages.
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