Memory Server API

Port: 48912 (internal)

The memory server runs as a separate process and handles all persistent memory operations. It is not intended for direct external access — the main server proxies memory-related requests.

Internal endpoints

The memory server provides endpoints for:

• Storing new conversation turns with timestamps and embeddings
• Querying recent context for LLM prompt construction
• Searching semantically similar past conversations
• Compressing old conversations into summaries
• Managing memory review settings

Storage backend

Table	Purpose
time_indexed_original	Full conversation history
time_indexed_compressed	Summarized conversation history
Embedding store	Vector embeddings for semantic search

Models used

Task	Default model
Embeddings	text-embedding-v4
Summarization	qwen-plus (SUMMARY_MODEL)
Routing	qwen-plus (ROUTER_MODEL)
Reranking	qwen-plus (RERANKER_MODEL)

Communication

The main server communicates with the memory server via HTTP requests and a persistent sync connector thread (cross_server.py).