mcp server

Synap Memory

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

Description as published by the maintainer. Source

• version 0.1.0
• active
• memory and context

active — Most recent push to the repository was 2026-08-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

check_memory_status(ingestion_id)

Check whether a logged exchange has finished processing. Pass the ingestion_id returned by log_exchange. Returns the processing status and how many memories were extracted. Useful to confirm a save completed (extraction is asynchronous). Required: ingestion_id.

list_recent_memories(user_id, customer_id, max_results)

List recent things remembered about this user. Useful for debugging or to confirm that memory is working. Pass user_id/customer_id to scope to one person.

log_exchange(user_id, customer_id, user_message, conversation_id, assistant_message, wait_for_processing)

After each user message, send the exchange here so it can be remembered. You do not need to decide what is important — just forward the user message (and your reply, if you have one) and Synap will keep what matters. If your app serves more than one end-user, pass that person's stable id as user_id (or an organization id as customer_id) so each person's memory stays separate; if every conversation is the same single user, omit them. Logging is fire-and-forget by default; set wait_for_processing=true only when you need to confirm the memory finished extracting before continuing. Required: user_message.

recall_context(query, user_id, customer_id, max_results)

Before replying, call this to recall anything already known about this user from past conversations. Use the user's latest message as the query. If you serve multiple end-users, pass the same user_id (or customer_id) you log with so you recall the right person's memory. Required: query.

Last successful function declaration observed on 2026-08-13. Source: https://synap-mcp.maximem.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on 2026-08-13. Source: https://synap-mcp.maximem.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Where to get it

• Repository — https://github.com/maximem-ai/maximem_synap_sdk
• Website — https://www.maximem.ai/docs
• Remote endpoint (streamable-http) — https://synap-mcp.maximem.ai/mcp

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These share tags the maintainers applied themselves, such as agent-memory, google-adk, autogen, crewai. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: agent-memory, ai, ai-agents, ai-memory, autogen, context, conversational-ai, crewai, google-adk, haystack, langchain, llamaindex, llm, long-term-memory, memory, memory-layer.