Smara

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (5)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Smara.

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

Documentation Overview

@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):

config.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.

Works With

Claude Desktop
Claude Code
Cursor
Windsurf
VS Code (GitHub Copilot)
Any MCP-compatible client

Environment Variables

Variable	Required	Default
`SMARA_API_KEY`	Yes	—
`SMARA_API_URL`	No	`https://api.smara.io`

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Knowledge & Memory View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

5mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Smara

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "smara": { "command": "npx", "args": ["-y", "smara"] } }

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Technical Specs & Signals

CategoryKnowledge & Memory

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Smara →Install in Claude Desktop Install in Cursor Install in VS Code