Zep Memory Assistant

We're building an AI Agent with human-like memory which integrates Zep's long-term memory backend with Microsoft's AutoGen framework, enabling agents to retain, recall, and manage contextual memory across conversations—paving the way for more intelligent, personalized, and persistent multi-agent interactions.

We use:

• Zep for the memory layer to AI agent
• Autogen (Agent Orchestration)
• Ollama as Model Provider
• Qwen 3 (LLM)
• Streamlit to wrap the logic in an interactive UI

Set Up

Run these commands in project root

Setting up Ollama

# Setting up Ollama on linux
curl -fsSL https://ollama.com/install.sh | sh

# Pull the Qwen 3 4B model
ollama pull qwen3:4b

Install Dependencies

uv sync

Run the Application

Run the application with:

streamlit run app.py

Get your Zep API keys here

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Contribution