wehub-resource-sync
52 lines
1.6 KiB
Markdown
52 lines
1.6 KiB
Markdown
# Zep Memory Assistant
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We're building an AI Agent with human-like memory which integrates [Zep's](https://www.getzep.com/) 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.
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We use:
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- [Zep](https://www.getzep.com/) for the memory layer to AI agent
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- Autogen (Agent Orchestration)
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- Ollama as Model Provider
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- Qwen 3 (LLM)
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- Streamlit to wrap the logic in an interactive UI
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## Set Up
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Run these commands in project root
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### Setting up Ollama
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```bash
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# Setting up Ollama on linux
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curl -fsSL https://ollama.com/install.sh | sh
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# Pull the Qwen 3 4B model
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ollama pull qwen3:4b
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```
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### Install Dependencies
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```bash
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uv sync
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```
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### Run the Application
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Run the application with:
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```bash
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streamlit run app.py
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```
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[Get your Zep API keys here](https://www.getzep.com/)
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## 📬 Stay Updated with Our Newsletter!
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**Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com)
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[](https://join.dailydoseofds.com)
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## Contribution
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Contributions are welcome! Feel free to fork this repository and submit pull requests with your improvements.
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