Overview

Zep memory integration plugs a Zep memory server into your bot to enable long-term conversation memory and user profiling. It covers session and user management, automatic summarization, and entity extraction, with semantic search to retrieve relevant past interactions.

How This Skill Works

Connect to the Zep server using the configured URL and API key, choosing among LangChain ZepMemory, direct Zep client, or a custom memory wrapper. The skill stores messages, generates summaries, extracts entities, and provides memory search and filtering to keep context relevant across sessions.

When to Use It

• You need persistent context across user sessions and long-term memory retention.
• You want to build user profiles to tailor responses and recommendations.
• Automatic summarization of conversations is needed for quick reviews.
• Semantic search to retrieve relevant past interactions is required.
• You need structured session and memory management with entity tracking.

Quick Start

1. Step 1: Install zep-python and LangChain, then configure the Zep server URL and API key.
2. Step 2: Initialize session management, user profiles, and enable summarization and entity extraction.
3. Step 3: Wire memory storage with retrieval and search, then test with a sample chat to verify context continuity.

Best Practices

• Proper session lifecycle management to avoid orphaned contexts.
• Configure summarization levels appropriate to your use case.
• Use memory search to surface relevant past information for responses.
• Monitor memory usage and apply retrieval limits to control scope.
• Securely manage Zep API keys and handle sensitive data with privacy in mind.

Example Use Cases

• A customer support chatbot maintains a history of prior tickets to resolve issues faster in subsequent chats.
• An educational tutor tracks a learner's progress and entities (topics, authors) to personalize guidance.
• A personal assistant builds user profiles to tailor recommendations and reminders over time.
• A meeting assistant summarizes conversations and highlights key entities like actions and decisions.
• A knowledge-bot uses ZepMemory to quickly retrieve prior discussions on topics like project status or requirements.

Frequently Asked Questions