Agent♥︎Age
Catalog

com.agishub/agent-memory

Official2 tools

by agishub · TypeScript

Persistent semantic memory for AI agents: store and recall text by meaning (RAG, Vectorize). x402

com.agishub/agent-memory (MCP Server)

This MCP server provides persistent semantic memory for AI agents. It stores and recalls text based on meaning, supporting retrieval workflows such as RAG and vectorization. The server’s described purpose is “Persistent semantic memory for AI agents: store and recall text by meaning (RAG, Vectorize).”

🛠️ Key Features

  • Persistent semantic memory for AI agents
  • Store and recall text by meaning
  • Supports RAG and vectorization (“Vectorize”)

🚀 Use Cases

  • Retrieval-augmented generation (RAG) workflows
  • Systems that need semantic recall rather than keyword matching

⚡ Developer Benefits

  • Meaning-based text retrieval for agent systems
  • A memory layer aligned with RAG and vector-based approaches

⚠️ Limitations

  • Limited information available: no details provided on interfaces, tools, storage backend, or configuration options beyond the description and “x402” marker.

Topics

aiai-agentsbasellmmcpmcp-serverusdcx402
com.agishub/agent-memory - agentage MCP Catalog