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RunbookAI

Free plan Linux

What RunbookAI is

RunbookAI is a self-hosted incident-response tool for SRE teams investigating production problems on AWS and Kubernetes. It collects incident context, ranks possible explanations, checks them against infrastructure, identifies a root cause and recommends remediation. Users can also ask natural-language questions across AWS, Kubernetes and CloudWatch, then run step-by-step runbooks. Infrastructure queries are read-only by default, and any action that changes infrastructure requires explicit human approval. RunbookAI keeps investigation hypotheses, evidence, proposed actions, approval decisions and execution results in a local audit trail.

The tool can index operational knowledge from local files, Confluence and Google Drive. Documented integrations include AWS, Kubernetes, PagerDuty, OpsGenie, Slack and Claude Code. Its self-hosted shared knowledge server makes runbooks, postmortems and known issues available through a REST API and an MCP endpoint that Claude Code can query. RunbookAI also has a CLI mode; it has no hosted service or control plane. The maker says it runs within the user's infrastructure, sends no telemetry, and sends LLM requests directly to the configured provider without proxying or storing prompts. It is open source under the MIT License and runs on Linux.

Who it suits

RunbookAI suits SRE teams that need to investigate production incidents and manage operational knowledge around AWS or Kubernetes. It is aimed at teams willing to self-host and meet its Bun or Node.js and Anthropic API key requirements.

What it does well

Ranks and tests incident hypotheses against infrastructure.
Runs step-by-step runbooks with approval gates for changes.
Keeps an investigation audit trail locally.
Indexes local files, Confluence and Google Drive.
Offers a REST API and MCP endpoint for shared operational knowledge.
Released under the MIT License.

What to know first

Runs on Linux, its only listed platform.
Requires Bun 1.0+ or Node.js 20+ and an Anthropic API key for Claude.
Has no hosted service or control plane.

Getting started

Visit https://userunbook.ai/.
Use a Linux environment.
Install Bun 1.0+ or Node.js 20+ as listed in the documentation.
Provide an Anthropic API key for Claude.
Choose CLI mode or deploy the self-hosted shared knowledge server.

Verdict

Choose RunbookAI if your SRE team wants a self-hosted workflow for investigating incidents, querying operational knowledge and running approved remediation steps. Look elsewhere if you need a hosted service or a platform other than Linux.

Questions

How much does RunbookAI cost?

Its pricing model is free, and it is released under the MIT License.

Is RunbookAI open source?

Yes. It is released under the MIT License.

Which platforms does it support?

Linux is the listed platform.

Does RunbookAI offer a hosted service?

No. It offers CLI mode and a self-hosted shared knowledge server, with no hosted service or control plane.

Which integrations are documented?

AWS, Kubernetes, PagerDuty, OpsGenie, Slack and Claude Code.

What does it require?

The documentation lists Bun 1.0+ or Node.js 20+ and an Anthropic API key for Claude.

Facts from RunbookAI's own pages

Audit trail: RunbookAI logs investigation hypotheses, evidence, proposed actions, approval decisions and execution results locally. · userunbook.ai, 4 Oct 2026
Claude Code: The shared knowledge server exposes an MCP endpoint that Claude Code can use to query operational knowledge. · userunbook.ai, 4 Oct 2026
Data handling: 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. · userunbook.ai, 4 Oct 2026
Deployment: RunbookAI offers CLI mode and a self-hosted shared knowledge server, with no hosted service or control plane. · userunbook.ai, 4 Oct 2026
Deployment and license: RunbookAI is self-hosted and released under the MIT License. · userunbook.ai, 4 Oct 2026
Incident workflow: Its investigation workflow gathers incident context, ranks hypotheses, tests them against infrastructure, identifies a root cause and suggests remediation. · userunbook.ai, 4 Oct 2026
Infrastructure queries: The CLI supports natural-language queries across AWS, Kubernetes, and a knowledge base. · userunbook.ai, 4 Oct 2026
Integrations: Documented integrations include AWS, Kubernetes, PagerDuty, OpsGenie, Slack and Claude Code. · userunbook.ai, 4 Oct 2026
Intended users: The maker describes it as an incident-response tool for SRE teams and is onboarding teams running production workloads on AWS and Kubernetes. · userunbook.ai, 4 Oct 2026
Investigation: Its investigation workflow gathers incident context, tests ranked hypotheses against infrastructure, and suggests remediation steps. · userunbook.ai, 4 Oct 2026
Knowledge sources: RunbookAI can index knowledge from local files, Confluence and Google Drive. · userunbook.ai, 4 Oct 2026
Open source: RunbookAI is released under the MIT License. · userunbook.ai, 4 Oct 2026
Purpose: RunbookAI investigates production incidents by forming hypotheses, gathering evidence and recommending fixes. · userunbook.ai, 4 Oct 2026
Requirements: The documentation lists Bun 1.0+ or Node.js 20+ and an Anthropic API key for Claude as requirements. · userunbook.ai, 4 Oct 2026
Runbooks: It can execute step-by-step runbooks, with approval gates for mutating actions. · userunbook.ai, 4 Oct 2026
Safety: Infrastructure queries are read-only by default, and every mutating action requires explicit human approval. · userunbook.ai, 4 Oct 2026
Safety controls: Every mutating action requires explicit human approval, while infrastructure queries are read-only by default. · userunbook.ai, 4 Oct 2026
Shared knowledge server: A self-hosted server lets a team query shared runbooks, postmortems and known issues through a REST API and an MCP endpoint. · userunbook.ai, 4 Oct 2026
Support: The documentation directs users with questions or issues to GitHub Issues or Discussions. · userunbook.ai, 4 Oct 2026

Where RunbookAI stands on Freedom251

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