How do I give my LLM workflow persistent context across independent client connections?

Description and use

LLM context tied to a connection is lost on a new connection. Storing context under a stable identity (user, project) and reading it at the start of each connection preserves persistent context across independent clients.

Problem

An LLM workflow loses context when a new client connection is made, because context was keyed to the connection or session.

Outcome

By storing context under a stable identity and reading it at the start of each connection, the LLM workflow retains persistent context across independent client connections.

Workflow

• 1. Scheduled job connects to MCP server at 06:00 and writes context under the user/project identity using the Mnemoverse API.
• 2. Chat client connects at 10:00, authenticates with the same API key or OAuth token, reads context from the identity‑scoped store before acting.
• 3. Agent uses the retrieved context to answer queries about duplicate tickets.

Evidence

Context kept under that ID could be found only by requests that carried the same ID, which means only inside the same session.

Source

The 2026-07-28 revision drops the session: the first major change in its changelog is "Remove protocol-level sessions and the Mcp-Session-Id header from the Streamable HTTP transport".

Source

Memory is scoped to the account behind the key and that "two keys from the same console account share one memory".

Source

Sign in again with the same Mnemoverse account and everything is back, unchanged.

Source