QuickandClaude Opus 5 7a29fcd0e6 feat(settings): add the one-time migration planner
The conversion rules from legacy settings storage to canonical values, as
ordinary Go rather than twice in two SQL dialects. Both backends read their
own rows, hand them to Plan, and write what comes back — so the decisions
are testable without a database and SQLite and Postgres cannot drift apart
in what they decide.

The rules that needed care, each pinned by a test:

Column defaults are not choices. quality_preference is NOT NULL DEFAULT
'1080p' while the contract defaults to auto, so migrating the column
unconditionally would pin every profile in the install to 1080p having
never chosen it — and that stored value would then outrank the contract
default forever. Same for language 'en', subtitle_mode 'auto', and
show_forced_subtitles true.

The empty string is unset, not a value. The legacy string API had no way to
send null, so both Android and web spell "clear my choice" as "". Storing
that would make a cleared setting outrank the default.

Legacy quality decomposes rather than rejects. Every compound value maps to
a resolution and a bitrate from the ladder in useTranscodeQuality.ts, so
nothing lands in the rejects table.

Account rows fan out to every profile, which is the account-to-profile move
the contract makes for appearance and search scope: a household that shared
one theme each end up owning theirs.

Legacy strings become typed JSON — "true" to true, "30" to 30 — or every
generated binding would fail to decode what the migration wrote.

Nullability differs per backend, so profile columns arrive as pointers and
the caller resolves "chose the default" versus "never written" when it
reads. jellycompat's DisplayPreferences blobs ride the same table under
synthetic keys and are left alone; they are that subsystem's storage.

Everything that cannot convert is recorded with a reason rather than
dropped, and a final test asserts every planned row would be accepted by
the mutation endpoint's own validation.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-07-27 23:07:08 +00:00
2026-07-25 18:37:51 +00:00
2026-05-22 23:26:56 -04:00
2026-05-22 23:26:56 -04:00
2026-05-22 23:26:56 -04:00
2026-05-22 23:26:56 -04:00
2026-07-25 18:37:51 +00:00

Silo

Silo is a self-hosted media streaming server for your movies, shows, music, and books. Point it at your media folders and stream to your devices — at home or away — with direct play, remuxing, and hardware-accelerated transcoding handled automatically.

Join the community on Discord. If Silo is useful to you, consider sponsoring the project — see Supporting Silo.

Highlights

  • Plays your media, your way — direct play when the device supports it, remux or hardware-accelerated transcode (including NVENC) when it doesn't.
  • Web app included — a full-featured web client and admin interface ship with the server.
  • Works with apps you already use — optional Jellyfin/Emby-compatible API supports clients such as VidHub, Findroid, and Infuse.
  • Household profiles — multiple profiles per account, with per-profile watch state and parental controls.
  • Plugin-driven metadata — match and enrich your libraries with providers like TMDB and TVDB, installed as plugins.
  • Fast setup — one docker compose up -d brings up the whole stack; everything else is configured in the admin UI.

The easiest way to run Silo is with Docker Compose. The default stack assumes you do not already have PostgreSQL and Redis available, so it bundles PostgreSQL, Redis, FFmpeg, and the application for a one-command start.

  1. Create a .env file

    cp .env.example .env
    
  2. Set your media path

    Edit .env and set:

    MEDIA_ROOT=/path/to/your/media
    

    MEDIA_ROOT is the one value most users need to change. You can also override SILO_DATA_ROOT if you do not want bind mounts under /opt/silo, and change ports if the defaults conflict with something else on the host.

  3. Start the default integrated stack

    docker compose up -d
    

    This starts PostgreSQL, Redis, and the integrated Silo server. The app is available at http://localhost:8090. Jellyfin-compatible app support is disabled until an administrator enables it in onboarding or admin settings.

    If you already have PostgreSQL and Redis available, omit those bundled service examples from compose and point Silo at your existing DATABASE_URL and REDIS_URL instead.

    Optional NVIDIA/NVENC

    GPU support is kept out of the default compose file so hosts without NVIDIA drivers work unchanged.

    Install the NVIDIA Container Toolkit and use a Docker Compose version with GPU reservation support before enabling this override.

    Use the optional override file when you want NVENC:

    docker compose -f docker-compose.yml -f docker-compose.nvidia.yml up -d
    

    If you want this controlled from .env, set COMPOSE_FILE:

    COMPOSE_FILE=docker-compose.yml:docker-compose.nvidia.yml
    NVIDIA_GPU_COUNT=1
    

    Windows uses ; instead of : between compose files.

    Then docker compose up -d will include the NVIDIA override automatically.

  4. Configure through the admin UI

    Add libraries, users, metadata providers, and playback settings from the web interface.

Bind Mount Layout

The deploy-oriented compose files use host folder mappings rather than Docker-managed volumes.

By default, data is stored under /opt/silo:

  • /opt/silo/postgres
  • /opt/silo/redis
  • /opt/silo/transcode
  • /opt/silo/catalog-seeds

Media is mounted into the container at /mnt/media from the host path you set in MEDIA_ROOT.

Optional Profiles

The main compose file is integrated-first. These profiles exist for operators testing distributed mode or mirroring a split deployment shape. Most single-host installs should stay on the default integrated service, because it already includes proxying and transcoding.

Profile Command Description
default docker compose up -d Integrated server plus bundled PostgreSQL and Redis
proxy docker compose --profile proxy up -d Start a standalone proxy service for distributed-mode testing
transcode docker compose --profile transcode up -d Start a standalone transcode service for distributed-mode testing

You can enable both optional examples together:

docker compose --profile proxy --profile transcode up -d

If you are splitting workers across multiple hosts, use the separate remote worker example instead of trying to stretch the main compose file across machines.

Advanced Remote Node Example

For a dedicated remote transcode worker, use docker-compose.remote-transcode.yml. That file is intended for a separate worker host that connects back to an existing Silo deployment using shared PostgreSQL and Redis.

Deployment Notes

The default compose stack intentionally bundles PostgreSQL and Redis for ease of setup and assumes a fresh install without those services already available. If you already operate PostgreSQL and Redis, omit those examples from compose and point Silo at your existing infrastructure instead. For serious installs, PostgreSQL is better on a separate VM or a managed service so upgrades, tuning, and backups are isolated from the app host. Redis can stay local for many installs, but externalizing it is also reasonable if you already operate shared infrastructure.

Silo is externally stateful by default rather than fully stateless. Durable application state lives in PostgreSQL. Redis only stores coordination and cache-style data. Silo still writes transient transcode output locally under /tmp/silo-transcode. If you switch userdb.backend=sqlite, Silo also becomes locally stateful at /var/lib/silo/userdb.

Migrating an existing Continuum Docker install should be done with the preflight helper and cutover guide in docs/continuum-to-silo-docker-migration.md.

Configuration

Silo requires only a DATABASE_URL when running from source or against external infrastructure. In the default Docker Compose path, the stack wires the database and Redis URLs for you. All other settings — libraries, metadata providers, transcoding, users — are managed through the admin UI after first launch.

Server Modes

Mode Description
integrated Full server: API + frontend + scanner + transcode (default)
api API server only, no local transcoding
proxy Stream proxy node that connects to the shared deployment database and Redis
transcode HLS transcode worker node that connects to the shared deployment database and Redis

PostgreSQL Auto-Tuning

The default Docker Compose stack does not require a checked-in postgresql.conf. It enables Silo's pgtune-style OLTP tuning by default:

POSTGRES_TUNE: auto

When enabled, Silo connects with DATABASE_URL and applies recommendations with ALTER SYSTEM, which writes to PostgreSQL's postgresql.auto.conf inside the database data directory. Reloadable settings are applied immediately with pg_reload_conf(). Settings that PostgreSQL marks as restart-only are written too, and Silo logs the setting names so you can restart PostgreSQL once:

docker compose restart postgres

The default Compose database user has the required PostgreSQL permissions. If you use an external PostgreSQL server, make sure the configured DATABASE_URL user can run ALTER SYSTEM, or set POSTGRES_TUNE=off and manage PostgreSQL yourself.

For POSTGRES_TUNE_MEMORY=auto, Silo uses the first trustworthy memory source: a finite Docker cgroup limit, the read-only /host/proc/meminfo mount supplied by the bundled Compose file, then /proc/meminfo with container safety guards. Auto-detected memory is treated as a PostgreSQL budget, defaulting to 75% of detected RAM so Silo, Redis, plugins, transcodes, and the OS retain headroom. POSTGRES_TUNE_DB_SIZE=auto queries pg_database_size(current_database()) and classifies the workload by comparing the database size to that memory budget.

Optional tuning overrides:

Variable Default Description
POSTGRES_TUNE_PROFILE oltp Tuning profile. Only oltp is currently supported.
POSTGRES_TUNE_MEMORY auto Server/container RAM, such as 8GB or 32GB; explicit values are used as-is.
POSTGRES_TUNE_MEMORY_BUDGET_PERCENT 75 Percent of auto-detected RAM used for PostgreSQL recommendations.
POSTGRES_TUNE_CPUS auto CPU count used for worker recommendations.
POSTGRES_TUNE_STORAGE ssd One of hdd, ssd, san, or nvme.
POSTGRES_TUNE_DB_SIZE auto Use less_ram when the database comfortably fits in RAM, mid_ram, or greater_ram for very large databases.
POSTGRES_TUNE_CONNECTIONS 100 PostgreSQL max_connections; automatically raised if Silo's app pool is configured higher.
POSTGRES_SHM_SIZE 8gb Docker /dev/shm size for the bundled PostgreSQL container.

Advanced operators can still supply their own PostgreSQL configuration or override these env vars. Set POSTGRES_TUNE=off when you do not want Silo to change PostgreSQL server settings. Settings already written with ALTER SYSTEM remain in postgresql.auto.conf; reset those PostgreSQL parameters if you later move fully to a custom postgresql.conf.

Build from Source

If you prefer running Silo without Docker:

  1. Install prerequisites: Go 1.24+, Bun 1.0+, PostgreSQL 18+, and FFmpeg.

  2. Start PostgreSQL and Redis (skip if you already have them running)

    docker compose up -d postgres redis
    

    The main compose file still expects MEDIA_ROOT to be set even if you only want the bundled PostgreSQL and Redis services, so set that in .env first.

  3. Configure the database connection

    cp .env.example .env
    

    Edit .env and set DATABASE_URL to point to your PostgreSQL instance.

  4. Build and run

    make build
    ./silo
    

    The server starts at http://localhost:8080 by default. All other settings are configured through the admin UI.

Reporting Issues

If you are reporting a bug, install problem, or performance issue, start with the admin workflow and reproduction steps, not Claude/Codex analysis.

Please include:

  • What you were trying to do
  • Exact steps you took
  • What you expected to happen
  • What actually happened
  • What exact action is slow or broken (save, scan, browse, import, playback, etc.)
  • Whether it happens every time or only sometimes
  • The library, media type, filter, setting, or value involved
  • Version, branch, commit, and deployment details if you know them
  • Screenshots, recordings, or log snippets if relevant

If you used Claude/Codex for debugging, put that under Technical notes at the end. Suspected files, SQL output, stack traces, and root-cause theories can be helpful, but only after the workflow and repro steps are clear.

Use this template:

Goal:
Steps:
Expected:
Actual:
What is slow/broken:
Scope:
Version/branch:
Deployment:
Technical notes:

Contributing & Development

Silo is open source and contributions are welcome. See DEVELOPMENT.md for building from source in a dev workflow, running tests, database migrations, and project layout, and CONTRIBUTING.md for contribution expectations, merge request guidance, and the policy for AI-assisted submissions.

Supporting Silo

Silo is an open-source hobby project, developed in spare time and funded out of pocket. If you'd like to support development, you can sponsor via GitHub Sponsors.

Donations go directly toward the costs of building and running the project:

  • AI development tooling subscriptions (Claude, Codex) used to build and maintain Silo
  • Push notification relay infrastructure
  • Future development costs

Sponsoring is entirely optional — Silo is and will remain free and open source. Bug reports, contributions, and feedback are just as valuable.

License & Trademarks

Silo's source code is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later) — see LICENSE.

The Silo name, logo, and wordmark are trademarks of Silo Media L.L.C. and are not covered by the AGPL. You're free to fork and redistribute the code, but forks and redistributions must not use the Silo brand as their identity and must remove or replace the brand assets. Publishing a Silo-branded app to an app store requires written permission. See TRADEMARK.md for what's permitted — including referential use like "compatible with Silo."

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Self-hosted media streaming server with a Go backend, React web UI, Docker deployment, transcoding, and Jellyfin-compatible APIs.
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