Parachute vs RunbookAI
Parachute
withparachute.orgRunbookAI
userunbook.aiSide by side
| Figure | Parachute | RunbookAI |
|---|---|---|
| Price from | $49/mo | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | — |
| Plans published | 4 | 0 |
| Spec score · Runbook Automation Software | 7.9 (#4) | 6.8 (#17) |
| Data handling | The maker says it does not use customer incident data to train AI models and deletes evidence after the configured retention period. | The maker says RunbookAI runs within the user's infrastructure, sends no telemetry, and sends LLM calls directly to the configured provider without proxying or storing prompts. |
| Integrations | Listed integrations include PagerDuty, Opsgenie, Datadog, Splunk, AWS, GCP, Azure, Slack, Microsoft Teams, Jira, Linear, and Elastic/Kibana. | Documented integrations include AWS, Kubernetes, PagerDuty, OpsGenie, Slack and Claude Code. |
| Intended users | Parachute says it is built for lean security teams and describes its founders' experience supporting logistics and fintech teams across APAC. | The maker describes it as an incident-response tool for SRE teams and is onboarding teams running production workloads on AWS and Kubernetes. |
| Support | Support ranges from community support on Developer to email on Starter and priority email plus Slack on Professional. | The documentation directs users with questions or issues to GitHub Issues or Discussions. |
Plans
Parachute
- Starter$49 a month
- Professional$149 a month
- DeveloperPrice not published
- EnterprisePriced on request
In their own words
Parachute
Parachute automates security incident response through web and API access. It can run a configured response when an alert matches, with runbooks authored in YAML or a visual editor, version controlled in Git, and tested with simulated alerts. The service can isolate hosts through AWS, GCP, and Azure APIs, and gather logs, process lists, network flow captures, and memory snapshots into packaged, hashed evidence. Listed integrations include PagerDuty, Opsgenie, Datadog, Splunk, AWS, GCP, Azure, Slack, Microsoft Teams, Jira, Linear, and Elastic/Kibana. Webhook-capable tools can trigger a runbook, and the REST API accepts custom alerts. The maker says data in transit uses TLS 1.3 and stored data uses AES-256-GCM; inbound webhooks are checked with HMAC-SHA256 and a five-minute timestamp tolerance. It says incident data is not used to train AI models and evidence is deleted after its configured retention period. Founded in 2024 and based in Sydney, Parachute offers a free Developer plan, a 14-day trial, and paid plans from $49/mo. SOC 2 Type II is planned but not yet certified; ISO 27001 is on the roadmap.
RunbookAI
RunbookAI is a self-hosted, MIT-licensed incident-response tool for investigating production problems. Its workflow collects incident context, ranks hypotheses, checks them against infrastructure, identifies a root cause, and recommends remediation. Users can ask natural-language questions across AWS, Kubernetes, and CloudWatch, then execute step-by-step runbooks. Queries are read-only by default; every mutating action needs explicit human approval. Investigations record hypotheses, evidence, proposed actions, approval decisions, and execution results in a local audit trail. RunbookAI indexes knowledge from local files, Confluence, and Google Drive. Documented integrations include AWS, Kubernetes, PagerDuty, OpsGenie, Slack, and Claude Code. A self-hosted shared knowledge server exposes runbooks, postmortems, and known issues through REST and an MCP endpoint for Claude Code. CLI mode is available, with no hosted service or control plane. The maker says it runs inside your infrastructure, sends no telemetry, and sends model requests directly to the configured provider without proxying or storing prompts. Requirements include Bun 1.0+ or Node.js 20+ and an Anthropic API key for Claude.