Hypertic is a lightweight Python framework for building AI agents. It avoids complex abstractions, so you can build agents in minutes using any model, tools, MCP, memory, and more.

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Hey Product Hunt 👋 I’m Prasad, maker of Hypertic AI.

I built Hypertic after getting frustrated with how many existing frameworks introduce scattered abstractions and hidden complexity, making agents hard to debug and maintain in production.

Hypertic keeps things simple and minimal. You can use any LLM, plug in tools, MCP, and memory directly, and work with a clear execution flow that’s easy to inspect and debug.

It provides straightforward support for tools and MCP servers, context and memory handling, and a model-agnostic API, so you can switch between providers (OpenAI, Anthropic, Google) without rewriting your code.

There’s no hidden magic, what the agent does is visible in code. The goal is to make building and maintaining real-world agents simpler, not more complex.

Hypertic is free and open source, and I’d love feedback from developers building agents in production.

For more details about the package:

📘 Documentation: https://docs.hypertic.ai/welcome

💻 GitHub: https://github.com/hypertic-ai/hypertic

Feedback, issues, and PRs are very welcome. We’re actively iterating and improving.

Just tested it and really impressed with how lightweight and practical this framework is. No heavy abstractions, just what you need to get things running quickly. It’s refreshing to see something that focuses on developer experience first. Great job.

@r_g25 Thanks! Really glad you liked it.