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Memory MCP Server - Knowledge Graph

Persistent memory and knowledge graph for AI agents. Store entities, relations, and observations that persist across sessions.

Features

• Entities - Store named nodes with types and observations
• Relations - Connect entities with directional relationships
• Observations - Attach discrete facts to entities
• Search - Find entities by name, type, or observation content
• Persistence - Memory persists in Apify Key-Value Store
• Multi-tenant - Separate memory spaces using memoryKey

Tools

Data Model

Entity

{
"name":"John Doe",
"entityType":"person",
"observations":[
"Works at Acme Corp",
"Lives in New York",
"Prefers email communication"
]
}

Relation

{
"from":"John Doe",
"to":"Acme Corp",
"relationType":"works_at"
}

Examples

Create Entities

{
"tool":"memory.create_entities",
"memoryKey":"my-project",
"entities":"[{\"name\": \"Alice\", \"entityType\": \"person\", \"observations\": [\"Team lead\", \"Prefers Slack\"]}]"
}

Create Relations

{
"tool":"memory.create_relations",
"memoryKey":"my-project",
"relations":"[{\"from\": \"Alice\", \"to\": \"Engineering Team\", \"relationType\": \"leads\"}]"
}

Add Observations

{
"tool":"memory.add_observations",
"memoryKey":"my-project",
"entityName":"Alice",
"observations":"[\"Recently promoted\", \"Working on Q4 roadmap\"]"
}

Search Nodes

{
"tool":"memory.search_nodes",
"memoryKey":"my-project",
"searchQuery":"engineering"
}

Read Full Graph

{
"tool":"memory.read_graph",
"memoryKey":"my-project"
}

Use Cases

• Personal Assistant Memory - Remember user preferences, contacts, projects
• CRM Knowledge Base - Store customer information and relationships
• Project Context - Track team members, decisions, and dependencies
• Research Notes - Connect concepts, papers, and findings
• Conversation History - Persist important facts across chat sessions

Memory Keys

Use memoryKey to create separate memory spaces:

• user-123 - Per-user memory
• project-alpha - Per-project memory
• session-xyz - Per-session memory

Memory persists in Apify Key-Value Store under key memory_{memoryKey}.

MCP Integration

Works with Claude Desktop, VS Code, and any MCP-compatible agent.

Claude Desktop (claude_desktop_config.json):

{
"mcpServers":{
"memory":{
"url":"https://mcp.apify.com?actors=YOUR_USERNAME/memory-mcp-server"
}
}
}

System Prompt Example

Add to your AI agent's system prompt:

You have access to a persistent memory system. At the start of each conversation:
1. Use memory.read_graph to recall what you know about the user
2. As you learn new information, use memory.create_entities and memory.add_observations to save it
3. Use memory.create_relations to connect related concepts
Important information to remember:
- User's name, preferences, and goals
- Projects they're working on
- People and organizations they mention
- Decisions and agreements made

Pricing

Apify compute costs only. No external API required.

Limits

Support

For issues or feature requests, open a ticket on the Issues tab.