A high-performance long-term memory store for AI agents. Uses vector embeddings (BAAI/BGE) and D1 relational storage to provide semantic search with strict multi-tenant isolation.

1 subscribers
8.9/10 popularity
912 ms avg latency
57% success rate
4 endpoints
The in-depth APIMemo review for this API hasn't been published yet — the data below comes straight from the public marketplace listing.

AI Memory Vault (Semantic MCP) endpoints

MethodEndpointDescription
POST Synchronize Case Metadata
/api/mcp-ai-memory-vault/cases
- Synchronizes high-value domain metadata (e.g., Legal Cases, Project Specs) to the relational vault (D1). This is required to enable Deep Domain Context filtering in the MCP…
POST Store Memory
/api/mcp-ai-memory-vault/memories
Encodes text into a vector and stores it with metadata for later recall.
POST Semantic Memory Recall
/api/mcp-ai-memory-vault/recall
- Performs a lightning-fast semantic similarity search across the agent's isolated memory vault. Powered by Cloudflare Vectorize , it retrieves the most relevant memories based…
POST Execute MCP Tool
/api/mcp-ai-memory-vault/mcp
- The primary gateway for modern AI agents (Claude, OpenAI, Grok). This endpoint implements the Model Context Protocol (MCP) , allowing agents to autonomously discover and…

AI Memory Vault (Semantic MCP) pricing

PlanPriceRate limitQuotas
BASIC Free
  • Requests: 500,000 / monthly

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