LLM Hippocampus — a Context Engineering playground
Project description
🔥 LLM Hippocampus helping your project for building and experimenting with Context Engineering applications. harness the full power of Redis for lightning-fast vector search, intelligent semantic caching, persistent LLM memory, and **smart context engineering **.
✨ What makes this special?
- 🚀 One-command setup - pip install llm-hippocampus
- ⚡ LLM support - OpenAI
- 🎯 Redis-powered - Vector search, caching, and memory management
- 🐳 Docker ready - Building...
- 🔧 Developer-first - Support to Hot load by installing llm-hippocampus
Table of Contents
- Quick Start
- Prerequisites
- Getting Started
- Using Google VertexAI
- Project Structure
- Connecting to Redis Cloud
- Troubleshooting
- Contributing
- License
- Learn More
Quick Start
Get up and install in your project:
pip install llm-hippocampus
or
uv add llm-hippocampus
Welcome to LLM Hippocampus! 🎉
Prerequisites
- Make sure you have the following tools available:
- python 3.11+
- uv
- Redis Stack
- Setup one or more of the following:
- OpenAI API
- You will need an API Key
- OpenAI API
Getting Started
Development Workflows
- Building
Project Structure
Contributing
🤝 Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Troubleshooting
Learn More
Project details
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