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Ai Memory

🟡Caution
Development

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.

STEP 1

Understand what it does

Tell your agent things like:

→“use ai memory”
→“write code”
→“review code”
→“manage repository”
PERMISSIONS

What this capability can access

This capability requires the following permissions:

This capability can modify data or communicate externally. Review the permissions below before granting access.

🔑
Requires API Keys
Needs authentication credentials
📖
Read Files
Reads local files and directories
✏️
Write/Delete Files
Creates, modifies, or deletes files
📤
Send Data Externally
Sends data to external services
STEP 2

Set it up

Available on 1 platform. Pick yours:

MCP (Model Context Protocol)Docs

Add to your MCP client configuration:

{
  "mcpServers": {
    "ai-memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-ai-memory"]
    }
  }
}
STEP 3

Go deeper

Full documentation and source code

View Source / DocsExplore Development

Add to your README

Show that your tool is listed on AgentSift

Ai Memory trust score on AgentSift
[![AgentSift](https://agentsift.com/api/badge/capability/ai-memory)](https://agentsift.com/capabilities/ai-memory)

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#mcp#agent-tool#development
CROSS-PLATFORM

Alternatives on other platforms

Similar capabilities available on different platforms

💻

Astradb

🔴

LangChain integration provider for Astradb

LangChain1 shared tag, 3 shared intents
💻

Azure Ai

🔴

LangChain integration provider for Azure Ai

LangChain1 shared tag, 3 shared intents
💻

Cerebras

🔴

LangChain integration provider for Cerebras

LangChain1 shared tag, 3 shared intents
💻

Cohere

🔴

LangChain integration provider for Cohere

LangChain1 shared tag, 3 shared intents

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