Integrations
Connect shodh-memory to your favorite AI coding tools. One config, persistent memory across every session.
Claude Code
The fastest way to get started. One CLI command registers shodh-memory as an MCP server with all 45 tools. Pair with hooks for fully automatic memory capture across sessions.
- 01.Run the command below in your terminal
- 02.All 45 MCP tools are available immediately
- 03.Add hooks for automatic memory (see note below)
claude mcp add shodh-memory -- npx -y shodh-memoryCursor
Add persistent memory to Cursor's AI assistant. Memories persist across chat sessions, composer threads, and projects.
- 01.Open Cursor Settings (Cmd/Ctrl + ,)
- 02.Navigate to MCP section
- 03.Click "Add new MCP server"
- 04.Paste the JSON config below
{
"mcpServers": {
"shodh-memory": {
"command": "npx",
"args": ["-y", "shodh-memory"]
}
}
}Windsurf
Give Windsurf's Cascade AI long-term memory. Remembers decisions, patterns, and context across coding sessions.
- 01.Open Windsurf Settings
- 02.Navigate to MCP Servers
- 03.Click "Add Server"
- 04.Paste the JSON config below
{
"mcpServers": {
"shodh-memory": {
"command": "npx",
"args": ["-y", "shodh-memory"]
}
}
}Claude Desktop
Add persistent memory to the Claude Desktop app. Memories carry across conversations so Claude remembers your preferences and project context.
- 01.Locate your Claude Desktop config file (see paths below)
- 02.Add the shodh-memory server config
- 03.Restart Claude Desktop
{
"mcpServers": {
"shodh-memory": {
"command": "npx",
"args": ["-y", "shodh-memory"]
}
}
}VS Code + Continue
Use shodh-memory with the Continue extension in VS Code. Gives your open-source AI assistant persistent memory across sessions.
- 01.Install the Continue extension in VS Code
- 02.Open Continue settings (continue/config.json)
- 03.Add shodh-memory to the MCP servers section
- 04.Reload VS Code
{
"mcpServers": [
{
"name": "shodh-memory",
"command": "npx",
"args": ["-y", "shodh-memory"]
}
]
}Docker
Run shodh-memory as a standalone server for self-hosted deployments, CI/CD pipelines, team-shared memory, or multi-agent architectures.
- 01.Pull and run the Docker image
- 02.Memory data persists in the shodh-data volume
- 03.Access the REST API at http://localhost:3030
- 04.Point any MCP client at the running server
docker run -d -p 3030:3030 \
-v shodh-data:/data \
ghcr.io/varun29ankus/shodh-memory:latestWorks with any MCP client
shodh-memory implements the Model Context Protocol (MCP) standard. Any MCP-compatible client can connect to shodh-memory out of the box — no custom adapters, no vendor lock-in.
# The universal pattern — works with any MCP client: # # command: npx # args: ["-y", "shodh-memory"] # # That's it. 45 tools. Zero configuration. # Memory that learns with use, runs locally, never phones home.
Pick your tool, paste the config, and start building with memory.