ai.maximem/synap

repo:https://github.com/maximem-ai/maximem_synap_sdk

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

transport:: remote
credential class:: self-provisionable
repo:: https://github.com/maximem-ai/maximem_synap_sdk

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Tools

check_memory_status
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).
shallow
list_recent_memories
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.
shallow
log_exchange
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.
shallow
recall_context
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.
shallow

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