Memory MCP - Redis Stack Backend
A drop-in replacement for mcp-memory-duckdb with full concurrent access support using Redis Stack. Enables persistent knowledge graph storage with full-text search and multi-session concurrent access.
README
Memory MCP - Redis Stack Backend
A drop-in replacement for mcp-memory-duckdb with full concurrent access support using Redis Stack.
Features
- Concurrent Access: Multiple Claude sessions can read/write simultaneously
- RediSearch: Full-text search across entities and observations
- ReJSON: Native JSON document storage
- Persistent Storage: RDB snapshots + AOF for durability
- Git-Friendly Export: Auto-exports to JSONL after every change
- API Compatible: Same tools as mcp-memory-duckdb
- Cross-Platform: Works on macOS, Windows, and Linux
Quick Install
Windows (One-liner)
# PowerShell (run as Administrator recommended)
irm https://raw.githubusercontent.com/BakeMark/mcp-memory-redis/main/install.ps1 | iex
Or download and run:
curl -O https://raw.githubusercontent.com/BakeMark/mcp-memory-redis/main/install.bat
install.bat
macOS
# Install Redis Stack
brew tap redis-stack/redis-stack
brew install redis-stack
# Clone and install
git clone https://github.com/BakeMark/mcp-memory-redis.git ~/.claude/mcp-memory-redis
cd ~/.claude/mcp-memory-redis
npm install
# Start Redis
redis-stack-server --daemonize yes
Docker (Any Platform)
# Start Redis Stack
docker run -d --name redis-stack \
-p 6379:6379 \
-v redis-memory-data:/data \
--restart unless-stopped \
redis/redis-stack:latest
# Clone and install
git clone https://github.com/BakeMark/mcp-memory-redis.git
cd mcp-memory-redis
npm install
Configuration
Claude Code MCP Config
Add to ~/.claude/mcp-servers.json (macOS/Linux) or %USERPROFILE%\.claude\mcp-servers.json (Windows):
macOS/Linux
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["~/.claude/mcp-memory-redis/src/index.js"],
"env": {
"REDIS_URL": "redis://localhost:6379",
"MEMORY_DIR": "~/.claude/memory",
"MEMORY_EXPORT_PATH": "~/.claude/memory/knowledge.jsonl"
}
}
}
}
Windows
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["C:\\Users\\USERNAME\\.claude\\mcp-memory-redis\\src\\index.js"],
"env": {
"REDIS_URL": "redis://localhost:6379",
"MEMORY_DIR": "C:\\Users\\USERNAME\\.claude\\memory",
"MEMORY_EXPORT_PATH": "C:\\Users\\USERNAME\\.claude\\memory\\knowledge.jsonl"
}
}
}
}
Environment Variables
| Variable | Default | Description |
|---|---|---|
REDIS_URL |
redis://localhost:6379 |
Redis connection URL |
REDIS_INDEX_NAME |
memory_idx |
RediSearch index name |
MEMORY_DIR |
~/.claude/memory |
Directory for exports |
MEMORY_EXPORT_PATH |
~/.claude/memory/knowledge.jsonl |
JSONL export path |
Windows Requirements
The install script handles these automatically:
| Requirement | Install Method |
|---|---|
| Node.js 18+ | winget install OpenJS.NodeJS.LTS |
| Docker Desktop | docker.com/desktop |
Alternative to Docker: Memurai (Windows-native Redis)
CLI Usage
# Export knowledge graph
node src/cli.js export ~/backup.jsonl
# Import knowledge (merge with existing)
node src/cli.js import ~/backup.jsonl --merge
# Import knowledge (skip existing entities)
node src/cli.js import ~/backup.jsonl --skip
# Search the graph
node src/cli.js search "database"
# Show statistics
node src/cli.js stats
# Clear all data
node src/cli.js clear
API Tools
The MCP server exposes these tools:
| Tool | Description |
|---|---|
create_entities |
Create new entities with observations |
create_relations |
Create relationships between entities |
add_observations |
Add observations to existing entities |
search_nodes |
Full-text search across entities |
open_nodes |
Retrieve specific entities by name |
read_graph |
Get entire knowledge graph |
delete_entities |
Delete entities (cascades) |
delete_observations |
Delete specific observations |
delete_relations |
Delete relationships |
export_knowledge |
Export to JSONL |
import_knowledge |
Import from JSONL |
Migration from DuckDB
Import your existing knowledge:
# Export from current DuckDB (if needed)
node /path/to/mcp-memory-duckdb/src/cli.js export /tmp/backup.jsonl
# Import to Redis
node src/cli.js import /tmp/backup.jsonl --merge
Concurrent Access
Unlike DuckDB which only allows single-writer access, Redis Stack supports:
- Multiple concurrent readers
- Multiple concurrent writers
- Atomic transactions via MULTI/EXEC
- No file locking issues
This means you can run multiple Claude Code sessions simultaneously, all accessing the same knowledge graph.
Data Schema
Entities are stored as JSON documents with the key prefix entity::
{
"name": "EntityName",
"entityType": "Type",
"observations": ["obs1", "obs2"],
"createdAt": "2026-01-30T12:00:00.000Z",
"updatedAt": "2026-01-30T12:00:00.000Z"
}
Relations are stored with the key prefix rel::
{
"from": "EntityA",
"to": "EntityB",
"relationType": "relates_to",
"createdAt": "2026-01-30T12:00:00.000Z"
}
Troubleshooting
Windows: Docker not starting
# Start Docker Desktop manually, then retry
Start-Process "C:\Program Files\Docker\Docker\Docker Desktop.exe"
Redis Connection Failed
# Check if Redis is running
redis-cli ping
# Docker: check container
docker ps | grep redis-stack
docker logs redis-stack
# Restart container
docker restart redis-stack
Search Index Issues
The search index is created automatically on first startup. If issues persist:
redis-cli
> FT._LIST
> FT.INFO memory_idx
Windows: Uninstall
.\uninstall.ps1
License
MIT
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