Agent♥︎Age
Catalog

Synap Memory

Official

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 logging and recalling conversation context over MCP. Its goal is to retain conversational state across interactions, enabling an MCP client to access prior context when continuing an agent workflow.

🛠️ Key Features

  • Persistent memory for AI agents
  • Log conversation context over MCP
  • Recall conversation context over MCP

🚀 Use Cases

  • Maintaining continuity in multi-turn agent conversations
  • Remembering prior conversation context across separate MCP requests

⚡ Developer Benefits

  • Easier retrieval of prior conversation context via MCP
  • Supports agent workflows that require historical context continuity

⚠️ Limitations

  • Only described at a high level as persistent memory (no additional capabilities, protocols, or configuration details provided)

Topics

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