# Agentmemory MCP

Agentmemory MCP is a hosted MCP memory server for AI agents that need scoped retrieval, retention decisions, token-gated access, and human-readable memory evidence before rollout.

Updated: 2026-06-17
Canonical: https://agentmemory.space/
Audience: AI agent teams, MCP operators, and developers adding persistent memory to autonomous workflows
Primary intent: MCP memory server for AI agents
Paid offer: Paid MCP memory audit and token-gated workspace. A paid review turns memory scope, retention rules, retrieval boundaries, token access, logs, and rollout evidence into a practical packet before a team lets agents depend on durable memory.

Key pages:
- https://agentmemory.space/
- https://agentmemory.space/pricing/
- https://agentmemory.space/privacy/
- https://agentmemory.space/terms/
- https://agentmemory.space/mcp-memory-server/
- https://agentmemory.space/ai-agent-memory/
- https://agentmemory.space/persistent-agent-memory/

FAQ:
- What is the primary URL for Agentmemory MCP? The primary URL is https://agentmemory.space/mcp-memory-server/ for teams evaluating an MCP memory server for AI agents.
- How is Agentmemory MCP different from a vector database? A vector database stores retrieval data. Agentmemory MCP frames memory as an MCP server workflow with scoped access, retention decisions, audit evidence, and checkout-token gating.
- What should teams check before rollout? Teams should define what memory is retained, forgotten, exported, and protected, then verify token handling, retrieval boundaries, logs, and owner approval.