Railway

Deploy Sebati Agents

Sebati Agent Template for Sebati Agent multi tenant

Deploy Sebati Agents

Inngest Staging Template

InngestApp

inngest/inngest:v1.17.5

Just deployed

InngestRedis

redis:8.2.1

Just deployed

/data

InngestPostgres

railwayapp-templates/postgres-ssl:17

Just deployed

/var/lib/postgresql/data

Rilldata

rill

sebati-ai/sebati-agents-data

Just deployed

/project

ClickHouse

clickhouse/clickhouse-server:25.8

Just deployed

/var/lib/clickhouse

Langfuse v3

langfuse-worker

langfuse/langfuse-worker:3

Just deployed

langfuse-web

langfuse/langfuse:3

Just deployed

postgres

railwayapp-templates/postgres-ssl:16

Just deployed

/var/lib/postgresql/data

redis

redis:7.2.5

Just deployed

/bitnami

clickhouse

clickhouse/clickhouse-server:24

Just deployed

minio

minio/minio

Just deployed

/data

Sebati Agents

sebati-web

sebati-ai/sebati-agents

Just deployed

rustfs-tFuI

rustfs/rustfs

Just deployed

/data

objects rill

sebati-ai/sebati-agents

Just deployed

hc-mcp

sebati-ai/hc-mcp

Just deployed

hindsight

vectorize-io/hindsight:latest

Just deployed

pgvector

pgvector/pgvector:pg17

Just deployed

/var/lib/postgresql/data/

sebati-agent-server

sebati-ai/sebati-agents

Just deployed

Deploy and Host Sebati Agents on Railway

Sebati Agents is an enterprise AI agent platform for building, governing, and running multi-agent systems. Teams configure conversational and work agents, connect knowledge and data sources, and ship them to chat and automation channels — with built-in governance, learning from feedback, and analytics. Each deployment is single-tenant and runs on your own infrastructure.

About Hosting Sebati Agents

Hosting Sebati Agents means running a self-contained, single-tenant stack: an API server, a web console, a pgvector database, S3-compatible file storage, an agent-memory service, a background-job/workflow engine, and an observability backend. The services talk over a private network; you supply an LLM provider key, an email sender, and an optional brand config to white-label the UI. Each instance is fully data-isolated — its own database — so one deployment serves one organization. Once it's up, your team configures agents in the console and exposes them through chat or automation channels. Scaling is per-service: size the database, API, and workers to your load.

Common Use Cases

  • Internal AI copilots over a company's own knowledge and data
  • Automated work agents for scheduled or event-triggered tasks (document review, triage, reporting)
  • Customer-facing chat consoles answering from governed, company-specific sources

Dependencies for Sebati Agents Hosting

  • PostgreSQL with the pgvector extension (knowledge embeddings)
  • An LLM provider API key (Anthropic or OpenRouter)
  • S3-compatible object storage (file & knowledge uploads)
  • A background-job engine for workflows and automations
  • An observability backend for traces and evaluation
  • An agent-memory service

Deployment Dependencies

Implementation Details

White-labeling is config-driven: mount a brand.yaml (name, colors, logo, font) at BRAND_DIR and the console + emails rebrand per deploy. With no config, it ships as Sebati by default.

Why Deploy Sebati Agents on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Sebati Agents on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.

Template Content

sebati-web

sebati-ai/sebati-agents

rustfs-tFuI

rustfs/rustfs

InngestApp

inngest/inngest:v1.17.5

langfuse-worker

langfuse/langfuse-worker:3

langfuse-web

langfuse/langfuse:3

objects rill

sebati-ai/sebati-agents

InngestRedis

redis:8.2.1

hc-mcp

sebati-ai/hc-mcp

hindsight

ghcr.io/vectorize-io/hindsight:latest

postgres

ghcr.io/railwayapp-templates/postgres-ssl:16

pgvector

pgvector/pgvector:pg17

sebati-agent-server

sebati-ai/sebati-agents

redis

redis:7.2.5

clickhouse

clickhouse/clickhouse-server:24

rill

sebati-ai/sebati-agents-data

InngestPostgres

ghcr.io/railwayapp-templates/postgres-ssl:17

minio

minio/minio

ClickHouse

clickhouse/clickhouse-server:25.8

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