Deploy Research Clipping Vault with Karakeep

Deploy and Host Research Clipping Vault with Karakeep on Railway

A protected clipping vault with a browser worker and full-text search.

About Hosting Research Clipping Vault with Karakeep

Researchers, writers and consultants keeping annotated source material.

Enter through the operator gateway and register the first Karakeep account. Set DISABLE_SIGNUPS=true after onboarding. Save an article, organize it with lists and tags, then search extracted text. A private Chrome worker and Meilisearch are included. Browser extensions must also satisfy the gateway login.

Included services and storage

First deployment

1. Review required inputs in the deploy form and supply your own administrator email where requested.
2. Deploy the services and wait for the application and any database migrations to finish.
3. Open the generated HTTPS domain and follow the workflow above.
4. For the first browser prompt use username operator and the generated Gateway.GATEWAY_PASSWORD from Railway variables. App-specific accounts, where present, remain separate. The App service has no public domain.

Why Deploy Research Clipping Vault with Karakeep on Railway

The definition supplies an HTTPS endpoint, generated credentials where supported and explicit storage paths. PostgreSQL, when present, stays private. Public upstream image manifests are locked to immutable digests so an upstream tag change does not silently replace a running version.

Common Use Cases

• Keep organized research clippings.
• Archive source articles for reports.
• Search a saved reading collection.

Dependencies for Research Clipping Vault with Karakeep

• Upstream application and its documentation. The upstream authors own the application and its license. This recipe does not claim application authorship or official endorsement.
• Caddy gateway using generated Basic authentication and WebSocket-capable reverse proxying.
• A Railway plan with resources sufficient for these services. Hosting, storage and outbound traffic are billed by Railway; no software subscription, bank connection, SMTP account or provider credit is included.

Operational limits and backups

The app volume holds SQLite and extracted assets; search indexes have their own volume. Some sites block extraction or require authentication. AI tagging is not enabled and requires your own provider. This is a reading archive, not a forensic capture or a guarantee that remote videos are preserved.

Run one replica for volume-backed applications. Schedule volume backups and export important application data; a persistent volume is not a backup. Keep generated secrets with the backups and review upstream migration notes before changing the pinned image. Credentials cannot all be rotated by changing first-run environment variables after accounts already exist.

Validation status

Prepared on 2026-10-18 from upstream installation documentation and public image manifests. Railway schema, variable references and publication metadata are checked before publication. Application runtime boot checks were not performed. This is an independently authored deployment recipe for existing software, not a claim of novel software, audited security or Railway partner verification.

Deploy this recipe

Review the required inputs and hosting resource costs before deploying.

Related deployment recipes

• Client Delivery Kanban with Planka — Client delivery boards with generated admin credentials and Postgres.
• Agency Bookmark Library with Linkding — Tag client references and research links in a private bookmark library.
• Docmost Team Wiki with PostgreSQL & Redis — Collaborative team wiki with Postgres, Redis and persistent uploads.

These are separate deployments; no preconfigured integration between the applications is implied.

Disclosure: this template is maintained independently. Its maintainer may earn Railway usage kickbacks when other people deploy it. Railway bills hosting separately; no paid software subscription or provider credits are included.