shodh-memory

One binary, all functionality. No Docker, no API keys, no external dependencies.

Claude Code (one command)

claude mcp add shodh-memory -- npx -y @shodh/memory-mcp

That's it. The MCP server auto-downloads the backend binary and starts it. No Docker, no API keys, no configuration. Claude now has persistent memory across sessions.

# 1. Start the server
docker run -d -p 3030:3030 -v shodh-data:/data varunshodh/shodh-memory

# 2. Add to Claude Code
claude mcp add shodh-memory -- npx -y @shodh/memory-mcp

{
  "mcpServers": {
    "shodh-memory": {
      "command": "npx",
      "args": ["-y", "@shodh/memory-mcp"]
    }
  }
}

For local use, no API key is needed — one is generated automatically. For remote servers, add "env": { "SHODH_API_KEY": "your-key" }.

Python

pip install shodh-memory

from shodh_memory import Memory

memory = Memory(storage_path="./my_data")
memory.remember("User prefers dark mode", memory_type="Decision")
results = memory.recall("user preferences", limit=5)

Rust

[dependencies]
shodh-memory = "0.1"

use shodh_memory::{MemorySystem, MemoryConfig};

let memory = MemorySystem::new(MemoryConfig::default())?;
memory.remember("user-1", "User prefers dark mode", MemoryType::Decision, vec![])?;
let results = memory.recall("user-1", "user preferences", 5)?;

Docker

docker run -d -p 3030:3030 -v shodh-data:/data varunshodh/shodh-memory

What It Does

You use a memory often  →  it becomes easier to find (Hebbian learning)
You stop using a memory →  it fades over time (activation decay)
You recall one memory   →  related memories surface too (spreading activation)
A connection is used    →  it becomes permanent (long-term potentiation)

Under the hood, memories flow through three tiers:

Working Memory ──overflow──▶ Session Memory ──importance──▶ Long-Term Memory
   (100 items)                  (500 MB)                      (RocksDB)

This is based on Cowan's working memory model and Wixted's memory decay research. The neuroscience isn't a gimmick — it's why the system gets better with use instead of just accumulating data.

Performance

| Operation | Latency | |-----------|---------| | Store memory (API response) | <200ms | | Store memory (core) | 55-60ms | | Semantic search | 34-58ms | | Tag search | ~1ms | | Entity lookup | 763ns | | Graph traversal (3-hop) | 30µs |

Single binary. No GPU required. Content-hash dedup ensures identical memories are never stored twice.

TUI Dashboard

shodh tui

47 MCP Tools

Full list of tools available to Claude, Cursor, and other MCP clients:

remember · recall · proactive_context · context_summary · list_memories · read_memory · forget · reinforce

add_todo · list_todos · update_todo · complete_todo · delete_todo · reorder_todo · list_subtasks · add_todo_comment · list_todo_comments · update_todo_comment · delete_todo_comment · todo_stats

add_project · list_projects · archive_project · delete_project

set_reminder · list_reminders · dismiss_reminder

memory_stats · verify_index · repair_index · token_status · reset_token_session · consolidation_report · backup_create · backup_list · backup_verify · backup_restore · backup_purge

REST API

160+ endpoints on http://localhost:3030. All /api/* endpoints require X-API-Key header.

Full API reference →

# Store a memory
curl -X POST http://localhost:3030/api/remember \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-key" \
  -d '{"user_id": "user-1", "content": "User prefers dark mode", "memory_type": "Decision"}'

# Search memories
curl -X POST http://localhost:3030/api/recall \
  -H "Content-Type: application/json" \
  -H "X-API-Key: your-key" \
  -d '{"user_id": "user-1", "query": "user preferences", "limit": 5}'

Platform Support

Linux x86_64 · Linux ARM64 · macOS Apple Silicon · macOS Intel · Windows x86_64

Production Deployment

SHODH_ENV=production              # Production mode
SHODH_API_KEYS=key1,key2,key3     # Comma-separated API keys
SHODH_HOST=127.0.0.1              # Bind address (default: localhost)
SHODH_PORT=3030                   # Port (default: 3030)
SHODH_MEMORY_PATH=/var/lib/shodh  # Data directory
SHODH_REQUEST_TIMEOUT=60          # Request timeout in seconds
SHODH_MAX_CONCURRENT=200          # Max concurrent requests
SHODH_CORS_ORIGINS=https://app.example.com

services:
  shodh-memory:
    image: varunshodh/shodh-memory:latest
    environment:
      - SHODH_ENV=production
      - SHODH_HOST=0.0.0.0
      - SHODH_API_KEYS=${SHODH_API_KEYS}
    volumes:
      - shodh-data:/data
    networks:
      - internal

  caddy:
    image: caddy:latest
    ports:
      - "443:443"
    volumes:
      - ./Caddyfile:/etc/caddy/Caddyfile
    networks:
      - internal

volumes:
  shodh-data:

networks:
  internal:

The server binds to 127.0.0.1 by default. For network deployments, place behind a reverse proxy:

memory.example.com {
    reverse_proxy localhost:3030
}

Community

| Project | Description | Author | |---------|-------------|--------| | [SHODH