Agenticmemory MCP Server

Persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE.

Remote serverstreamable-httpPython

What is the Agenticmemory MCP Server?

Persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE.

The short version

Your agent writes great code all day — then forgets every decision the moment its context window resets. So you become the memory layer: re-explaining the project, the preferences, what broke last time. Agentic Memory is the memory your agent runs itself: one install, and it stores, recalls, and searches its own state across sessions, machines, and even other agents. It can even sign itself up — one command returns a working API key, no browser, no human.

  • Conversation history — — ordered, role-aware messages with recency windowing, sub-ms reads
  • Key-value context — — typed durable facts: decisions, preferences, runbooks
  • Long-term entries — — titled, tagged knowledge that survives months, with auto-summarisation
  • Entities — — people and systems the agent should know about
  • Scratchpad — — ephemeral working memory with TTLs (expiry is a feature)
  • Semantic search — — across everything the agent has ever stored

More MCP options

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Maintainer setup documentation.

Configuration

VariableDescriptionRequired
AGMRY_API_KEYCredential the server authenticates with.Yes
AGMRY_ENCRYPTION_KEYCredential the server authenticates with.Yes
AGENTICMEMORY_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • “Use Agenticmemory to Key.”
  • “Use Agenticmemory to Long.”
  • “Use Agenticmemory to Entities.”

Frequently asked questions

Persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.