ensue-memory

To preserve conversation context across sessions, you link dialogues to a persistent knowledge tree. This allows you to store prior insights and recall them in future chats without starting from scratch.

A persistent memory tree is a structured store that connects conversations to preserve context across sessions. It organizes prior knowledge using namespaces, allowing you to retrieve related memories on demand.

You organize stored memories by assigning them to specific namespaces, such as research/gpu-inference. This namespace-based organization structures your knowledge tree and enables targeted retrieval of prior topics.

Yes, you can retrieve specific technical notes with minimal context drift through proactive retrieval. By asking what you know about a topic, the system pulls relevant memories stored under the matching namespace.

The best way to remember key decisions is to explicitly store them in the persistent knowledge tree during your discussion. You assign the notes to a relevant namespace, making them easily searchable for later recall.

No special setup is required beyond initiating the memory store. You simply start by telling the system to remember a note under a specific namespace, and it handles the storage and retrieval automatically.