Requirements

Documentation Index

Fetch the complete documentation index at: https://docs.orcamemory.com/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

Orca Memory is built on modern infrastructure that you can deploy to your own environment. This guide covers what you’ll need.

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Stack

Orca Memory consists of:

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Prerequisites

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Convex Account

Orca Memory uses Convex as its backend. You’ll need:

1. A Convex account (free tier available)
2. A new Convex project for Orca Memory

Convex handles:

• Database storage
• Real-time subscriptions
• Serverless functions
• File storage

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Embedding Service

For semantic search, you need an embedding service. Options:

• Self-hosted - Run our Python embeddings service
• OpenAI - Use OpenAI’s embedding API
• Other providers - Any service that returns vector embeddings

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Domain & SSL

For production deployment:

• A domain name
• SSL certificate (use Let’s Encrypt or your provider)

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Hardware Requirements

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Minimum (Development)

• 1 CPU core
• 1 GB RAM
• 10 GB storage

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Recommended (Production)

• 2+ CPU cores
• 4 GB RAM
• 50 GB SSD storage

The embeddings service is the most resource-intensive component. Consider running it on a GPU-enabled instance for better performance.

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Next Steps