Agent♥︎Age
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Synap Memory

Official4 toolsLive

by maximem-ai · Python

Persistent memory for AI agents — log and recall conversation context over MCP.

ai.maximem/synap MCP Server

The ai.maximem/synap server provides persistent memory for AI agents by exposing Synap’s existing public REST operations as MCP tools. It is hosted as a Streamable HTTP remote MCP server and acts as a stateless adapter for use with no-code platforms.

🛠️ Key Features

  • Persistent memory via logged and recalled conversation context over MCP
  • Re-fronts Synap public REST operations as MCP tools
  • Stateless adapter: no new backend, storage, or pipeline
  • Forwards incoming Bearer synap_<key> token verbatim to synap-cloud
  • Hosted public endpoint: https://synap-mcp.maximem.ai/mcp
  • Tool count: 4
  • Topics include: agent-memory, ai-agents, ai-memory, context, long-term-memory, memory-layer, langchain, llamaindex, crewai, and more

🚀 Use Cases

  • Enable agent persistent memory from platforms like Gumloop and n8n using only an MCP URL and Bearer token

⚡ Developer Benefits

  • Each MCP tool call maps directly to one existing REST operation
  • Authentication is handled by synap-cloud using the forwarded Bearer token
  • Works with MCP clients expecting tools over Streamable HTTP

⚠️ Limitations

  • Stateless adapter: does not add new storage or processing beyond mapping to existing Synap REST operations

Topics

agent-memoryaiai-agentsai-memoryautogencontextconversational-aigoogle-adkhaystacklangchainllamaindexllmlong-term-memorymemorymemory-layercrewai