DrDroid vs HolmesGPT
HolmesGPT is a great fit if you want a fully open-source, self-hosted agent you assemble and run yourself. It's an MIT-licensed CNCF Sandbox project you operate on your own infrastructure, with LLM costs of only a few dollars a month. DrDroid gives you a managed product, hosted, Slack-native and set up in minutes, with its own open-source engine, for teams that want the outcome without building and running the agent themselves.
DrDroid vs HolmesGPT
| Feature |  DrDroid
| HolmesGPT |
|---|---|---|
| Model | Managed product (open-source core) | Fully open-source, self-hosted |
| Setup & ops | Hosted, ready in under 10 min | You deploy, run and maintain it |
| Scope | Whole stack via knowledge graph | Strong on Kubernetes / cloud-native |
| Support & SLA | Commercial support, SOC 2 Type II | Community (or Robusta SaaS) |
| Cost | 14-day free trial + $99/mo flat | ~$12/mo LLM costs, self-run |
| Best fit | Want the outcome, managed | Want full control, self-hosted |
Strengths, honestly compared
DrDroid Wins on - A managed, hosted product, so there's no agent infrastructure to run, scale or maintain
- A live knowledge graph across 80+ tools and a self-learning agent, working out of the box
- The PlayBooks engine is open source (MIT) if you want transparency, with supported plans and a 14-day trial
- An optional self-hosted or VPC deployment, SOC 2 Type II, and read-only integrations
- Fully open source (MIT), a CNCF Sandbox project maintained by Robusta with contributions from Microsoft
- Self-hosted and self-contained: it runs entirely on your own infrastructure with no commercial dependency
- Very cheap to run (about $0.04 per investigation in LLM costs) and highly customizable, especially for Kubernetes
What is HolmesGPT?
HolmesGPT is an open-source AI SRE agent, MIT-licensed and, since October 2025, a CNCF Sandbox project, maintained by Robusta.dev with significant contributions from Microsoft. It uses an agentic ReAct loop: it reads an alert, picks a tool, reads the result and decides what to check next, pulling logs, metrics and traces from across your stack and reasoning its way to a data-backed root cause. It can run around the clock, message you in Slack with a fix, and even open pull requests through a GitHub integration.
Because it's open source and self-contained, HolmesGPT runs entirely on your own infrastructure with no dependency on a commercial service, and costs only a few dollars a month in LLM API calls (about $0.04 per investigation). Robusta also offers a hosted SaaS built on top of it. The catch is operational: you deploy it, wire up your tools, run it and keep it healthy yourself.
What is DrDroid?
DrDroid is a managed, self-learning AI SRE agent, backed by Y Combinator. It maps your whole stack, from repos and services to dashboards, Kubernetes and cloud resources, into a live knowledge graph. From there it investigates alerts across 80+ integrations, correlating logs, metrics, traces and deploys to a root cause, then suggests or runs the fix directly in Slack. Its investigation engine, PlayBooks, is open source under the MIT license. The platform itself is a managed service with a 14-day free trial, and it offers a self-hosted (VPC or on-prem) option for security-conscious teams.
DrDroid vs HolmesGPT: the key difference
Both share an open-source lineage, but they sit at different points on the build-versus-buy spectrum. HolmesGPT is a toolkit you operate; DrDroid is a product you adopt. With HolmesGPT you own the whole lifecycle, from deployment to tuning to upgrades, in exchange for total control and near-zero software cost. With DrDroid you get a hosted knowledge graph, a self-learning agent, commercial support and SOC 2 Type II compliance, set up in minutes, with PlayBooks available open source if you want to inspect or extend the investigation logic.
Why teams choose DrDroid over HolmesGPT
Teams choose DrDroid when they'd rather not run and maintain an AI agent in production, when they want the outcome (faster investigations, a self-learning knowledge graph, Slack-native answers) without dedicating engineers to operating the tooling. Commercial support, an SLA, SOC 2 Type II and a managed upgrade path are the practical reasons a growing team picks a product over a self-hosted project.
When HolmesGPT is the better fit
If you have the platform-engineering capacity and a strong preference for open source, HolmesGPT is a superb, genuinely open, Kubernetes-friendly agent you can run for a few dollars a month and customize freely. Teams that want maximum control, no vendor, and are comfortable operating it themselves will be very happy with it.
Frequently asked questions
Is DrDroid a HolmesGPT alternative?
Yes, for teams that prefer a managed AI SRE over a self-hosted one. DrDroid gives you hosted, Slack-native investigation with commercial support and an open-source engine; HolmesGPT is a fully self-hosted, open-source agent you run and maintain yourself.
Is DrDroid open source?
DrDroid's investigation engine, PlayBooks, is open source under the MIT license. The broader platform, meaning the hosted knowledge graph, self-learning agent and integrations, is a managed service, with an optional self-hosted deployment for enterprises.
Which is cheaper?
HolmesGPT itself is free to use and costs only a few dollars a month in LLM API calls, but you run and maintain it. DrDroid has a 14-day free trial and a flat $99/month plan, and you operate no infrastructure.
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