# Memvid CLI Docker Image
AI memory CLI with crash-safe, single-file storage and semantic search.
## Quick Start
```bash
# Pull the image
docker pull memvid/cli
# Create a memory
docker run --rm -v $(pwd):/data memvid/cli create my-memory.mv2
# Add documents
docker run --rm -v $(pwd):/data memvid/cli put my-memory.mv2 --input doc.pdf
# Search
docker run --rm -v $(pwd):/data memvid/cli find my-memory.mv2 --query "search"
```
## Basic Commands
```bash
# Show help
docker run --rm memvid/cli
# Show version
docker run --rm memvid/cli --version
# Create a memory file (mount local directory)
docker run --rm -v $(pwd):/data memvid/cli create my-memory.mv2
# Ingest a document
docker run --rm -v $(pwd):/data memvid/cli put my-memory.mv2 --input document.pdf
# Search the memory
docker run --rm -v $(pwd):/data memvid/cli find my-memory.mv2 --query "search term"
# Ask questions (requires API key for LLM)
docker run --rm -v $(pwd):/data \
-e OPENAI_API_KEY="sk-..." \
memvid/cli ask my-memory.mv2 "What is this about?" -m openai
# View stats
docker run --rm -v $(pwd):/data memvid/cli stats my-memory.mv2
```
## With API Keys
```bash
# Pass Memvid API key for cloud features
docker run --rm -v $(pwd):/data \
-e MEMVID_API_KEY="mv2_..." \
-e OPENAI_API_KEY="sk-..." \
memvid/cli ask my-memory.mv2 "your question"
```
## Shell Alias (Recommended)
Add to `~/.bashrc` or `~/.zshrc`:
```bash
alias memvid='docker run --rm -v $(pwd):/data -e MEMVID_API_KEY -e OPENAI_API_KEY memvid/cli'
```
Then use normally:
```bash
memvid create my-memory.mv2
memvid put my-memory.mv2 --input docs/
memvid find my-memory.mv2 --query "hello"
```
## Docker Compose Example
```yaml
version: '3.8'
services:
memvid:
image: memvid/cli:latest
volumes:
- ./data:/data
environment:
- MEMVID_API_KEY=${MEMVID_API_KEY}
- OPENAI_API_KEY=${OPENAI_API_KEY}
entrypoint: ["memvid"]
command: ["stats", "my-memory.mv2"]
```
## Features
- Single-file `.mv2` storage
- Semantic + lexical search
- RAG question answering
- PDF, DOCX, images, audio support
## Links
- Website: https://memvid.com
- Docs: https://docs.memvid.com
- GitHub: https://github.com/memvid/memvid