Smara

Name: Smara
Author: parallelromb

@parallelrombMCP server · External

Persistent cross-platform memory for AI agents with Ebbinghaus decay scoring.

AI memoryv2.0.2JavaScript

Freeno charge per call

How to install

Runs on your machine from its package; the steps are below.

What it does

Reads
Writes
High impact

At most: creates or changes data: records, files, settings.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npm@smara/mcp-serverv2.0.2

Run

npx -y @smara/mcp-server

MCP client config

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

README1 min readView on GitHub

@smara/mcp-server

MCP server for the Smara Memory API — give any AI app persistent memory with Temporal Memory Scoring™.

Quick Start

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

json

{
  "mcpServers": {
    "smara": {
      "command": "npx",
      "args": ["-y", "@smara/mcp-server"],
      "env": {
        "SMARA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Get a free API key at smara.io (10,000 memories, no credit card).

Tools

Tool	Description
`store_memory`	Store a fact about a user with importance scoring
`search_memories`	Semantic search with Temporal Memory Scoring™
`get_user_context`	Pre-formatted context string for LLM system prompts
`delete_memory`	Delete a specific memory
`get_usage`	Check plan limits and memory count

How It Works

Smara uses Temporal Memory Scoring™ — a proprietary ranking system that makes AI memory work like human recall. Memories naturally fade over time, modulated by importance and access patterns. Recent, critical memories surface first. Stale, trivial ones fade. Contradictions are auto-detected and resolved.