Dagobert vs GRR Rapid Response
Dagobert
github.comGRR Rapid Response
grr-response.comSide by side
| Figure | Dagobert | GRR Rapid Response |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Incident Response Software | 7.6 (#12) | 7.8 (#10) |
| Integrations | Indicator enrichment can query VirusTotal, AbuseIPDB, and Hybrid Analysis, and Dagobert can exchange timelines with Timesketch. | The maker lists Colab, Splunk, BigQuery, Elasticsearch, Timesketch, Turbinia, Python API clients, and an HTTPS REST API with OpenAPI definitions. |
| Intended users | The product document identifies DFIR consultants working cases for outside clients as its primary audience and internal CIRT/SOC teams as a secondary audience. | The FAQ says large enterprise deployments may require users to fix minor bugs, improve documentation, and actively engage with the project team. |
| License | The repository states that Dagobert is released under the MIT License. | GRR is open source under the Apache License 2.0. |
| Purpose | Dagobert provides incident response teams a shared workspace for forensic investigations, including findings, timelines, tasks, notes, and report generation. | GRR is an incident response framework focused on remote live forensics and remote investigation. |
| Support | The README directs users to open a GitHub issue for questions and bug reports. | The FAQ says the core team does not offer a helpdesk, paid setup assistance, feeds, or consulting services. |
Plans
In their own words
Dagobert
Dagobert is a free, MIT-licensed workspace for digital forensics and incident response investigations. Teams can keep multiple cases in separate workspaces with role-based, per-case access managed in the interface. Records cover timelines, assets, indicators, evidence, malware, tasks, notes and comments, with CSV import and export. A cross-case dashboard includes a MITRE ATT&CK heatmap, unified timeline, evidence and indicator tracking, and a lateral-movement graph. Reports are generated from supplied Word, Excel or Calc, Writer, and Impress templates in DOCX, ODS, ODT and ODP formats. Background jobs can process evidence with Hayabusa, Zircolite, Chainsaw, Plaso and Dissect. Indicator enrichment can query VirusTotal, AbuseIPDB and Hybrid Analysis, while timelines exchange with Timesketch. Hooks trigger automations on record changes. An authenticated read-only MCP endpoint exposes case data. Local accounts and OIDC are supported. The project is a Go binary backed by SQLite, with Docker self-hosting instructions.
GRR Rapid Response
GRR Rapid Response is an incident response framework for remote investigation and live forensics. Client agents run on target systems, while server infrastructure provides a web interface and API. From the framework, analysts can search and download files, search the Windows registry, access raw filesystems, and collect forensic artifacts. GRR also supports remote memory analysis with YARA and lets analysts schedule fleet hunts, including for machines offline when a hunt is scheduled.
The integration list includes Colab, Splunk, BigQuery, Elasticsearch, Timesketch, Turbinia, Python API clients, and an HTTPS REST API with OpenAPI definitions. The maker says client-server communication is encrypted against eavesdropping and impersonation; approval-based controls can gate sensitive actions. GRR is self-hosted, open source under Apache License 2.0, and listed at free. Clients normally run as root and can read system data, so access to the server carries equivalent access to client machines. The core team does not offer a helpdesk, paid setup assistance, feeds, or consulting.