import{_ as t,o,c as r,ag as a}from"./chunks/framework.BZohXCq9.js";const u=JSON.parse('{"title":"Bot Memory Management","description":"","frontmatter":{},"headers":[],"relativePath":"getting-started/memory.md","filePath":"getting-started/memory.md","lastUpdated":1772873936000}'),i={name:"getting-started/memory.md"};function n(s,e,m,l,c,h){return o(),r("div",null,[...e[0]||(e[0]=[a('Bot Memory Management
Memoh's structured long-term memory system allows bots to remember information across multiple conversations, providing contextually relevant and personalized interactions.
Prerequisites
Before using the Memory tab, make sure your bot already has a Memory Provider configured.
- Create a provider from the Built-in Memory Provider guide.
- Open your bot's Settings tab.
- Select the provider in the Memory Provider field.
- Click Save.
Without a memory provider, the bot will not have an active memory backend configuration.
Concept: Semantic Search
With the built-in memory provider, memories are stored in Memoh's memory system and retrieved through semantic search. When a user asks a question, Memoh finds the most relevant memories and includes them in the bot's runtime context.
Operations
Manage your bot's memories from the Memory tab in the Bot Detail page.
1. Creating Memories
- New Memory: Manually enter a memory's content in the provided textarea.
- From Conversation: Select specific messages from the bot's conversation history to extract into memory.
2. Searching and Managing
- Search: Filter memories by ID or text content.
- Edit: Modify existing memory entries directly in the list.
- Delete: Remove memories that are no longer needed.
Memory Compression (Compact)
Over time, memories can accumulate and become redundant. The Compact feature helps optimize the memory pool.
- Ratio: Set the compression ratio (for example
0.8, 0.5, or 0.3) to determine how much information is retained. - Decay Days: Optionally specify a time window to compact only memories older than a certain number of days.
Visualization: Vector Manifold
The Memory tab includes visual tools to help you understand how the memory system is performing:
Top-K Bucket Chart
Shows the distribution of relevant memories retrieved for the most recent queries.
CDF Curve (Cumulative Distribution Function)
Visualizes the scoring threshold of retrieved memories, helping you fine-tune how much relevant information the bot should consider.
Bot Interaction
- The bot automatically searches and retrieves memories during chat.
- The assigned Memory Provider controls the memory backend used by the bot.
- For the built-in provider, you can optionally configure a Memory Model and an Embedding Model inside the provider settings.
- Memories provide the long-term knowledge that makes each bot unique to its owner.
',30)])])}const g=t(i,[["render",n]]);export{u as __pageData,g as default};