io.github.parallelromb/smara
Persistent cross-platform memory for AI agents with Ebbinghaus decay scoring.
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@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):
{
"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
