Deploy Supermemory with Cloudflare Zero Trust

Supermemory memory engine with Cloudflare Zero Trust Access protection.

Deploy Supermemory with Cloudflare Zero Trust

Just deployed

Supermemory with Cloudflare Zero Trust

Self-hosted Supermemory memory engine—ingestion, hybrid semantic search, and full Memory API—protected behind Cloudflare Zero Trust Access.

Why Deploy

Supermemory brings persistent, semantic memory to your applications. Use it to:

  • Store and retrieve documents with hybrid search (keyword + embedding)
  • Extract structured insights from unstructured data
  • Build AI agents with long-horizon memory and context
  • Keep sensitive data on your own infrastructure with full privacy

Cloudflare Zero Trust ensures only authenticated users can access your memory engine.

Deploy and Host

This template deploys a Supermemory server on Railway with a 10GB persistent volume. Choose your LLM provider during deployment:

  • OpenAI (gpt-4o recommended) for production workloads
  • Anthropic Claude for privacy-first setups
  • Ollama for fully local/offline operation
  • Default embeddings (no API keys) for cost-free operation

Cloudflare Zero Trust credentials protect the public endpoint. Set CF_ACCESS_CLIENT_ID, CF_ACCESS_CLIENT_SECRET, and CF_ACCOUNT_ID from your Cloudflare dashboard.

About Hosting

Railway provides the compute, networking, and persistent storage:

  • Compute: CPU/RAM scales automatically with your plan
  • Volume: 10GB persistent storage for the embedded graph database
  • Networking: Public domain with private database connections and Cloudflare Access overlay
  • Monitoring: Health checks on the /health endpoint

Common Use Cases

  • AI-powered customer support: Store interactions, retrieve relevant context for agents
  • Research assistant: Ingest PDFs/documents, semantic search across your library
  • Knowledge management: Centralized memory for team workflows
  • Secure data analysis: Keep sensitive datasets behind Zero Trust

Dependencies for

Supermemory is self-contained—no external databases required. The embedded graph engine persists to the Railway volume. Optional dependencies:

  • LLM API: OpenAI, Anthropic, or Ollama (for intelligence; works without)
  • Cloudflare Access: For Zero Trust protection (or skip for open access)

API Reference

Supermemory exposes the full Memory API:

  • POST /v3/documents — Add a document
  • POST /v4/search — Hybrid semantic search
  • GET /v4/profile — Memory profile
  • GET /health — Health check

See Supermemory docs for SDK examples (JavaScript, Python, Go, Rust).


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