Wednesday, April 8, 2026

HarperFast Agent Example: Demonstrating Conversational AI with Semantic Caching, Vector Search, and Local SLM Embeddings on GitHub

🚀 Transforming AI Interactions with Persistent Memory!

Discover Harper’s cutting-edge conversational AI agent, designed for seamless engagement and cost-efficient communication. Key features include:

  • Persistent Semantic Memory: Automatically recalls context across conversations for richer interactions.
  • Two-layer Semantic Cache: Instantly provides answers to repeated or rephrased questions at zero cost!
  • Built-in Web Search: Access up to 5 searches per turn, no external API key needed.
  • Global Savings Tracker: Monitor accumulated savings from cached responses in real time.

Why Harper?

  • Say goodbye to traditional hardware and API costs!
  • Eliminate network latency with in-process local embeddings.
  • Leverage auto-generated REST APIs with full CRUD capabilities.

With Harper, efficient AI interactions are just a message away. 💬

Curious about the future of conversational AI? Check out our live demo and explore how Harper can enhance your operations today!

🔗 Try Harper Now!

👉 Don’t forget to share your thoughts and experiences!

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