Peargent

Peargent

AI Agents Made Simple

81 followers

Peargent is a lightweight, Python-first framework for building powerful AI agents without complexity. It gives developers a clean API, built-in memory, tool integration, and observability - so you can focus on logic, not boilerplate. Build production-ready agents in minutes with type safety, simplicity, and full control. Open-source and free.
Peargent gallery image
Peargent gallery image
Peargent gallery image
Peargent gallery image
Peargent gallery image
Peargent gallery image
Free
Launch Team / Built With
Framer
Framer
Launch websites with enterprise needs at startup speeds.
Promoted

What do you think? …

Tarun
Maker
📌
Thanks for checking out Peargent! Would love for you to try it out and share your feedback. If you like the project, please consider giving the GitHub repo a ⭐️ - it really helps! https://github.com/quanta-naut/p... Your support means a lot.
Zeng

What a cool tool and cool name! Love the landing page design.

Tarun

@zeng Thank you so much! I’m really glad you liked Peargent.
If it’s not too much trouble, could you star the project on GitHub?
Also, I really appreciate your compliment on the landing page!

Saul Fleischman

Might want to give us a compelling reason to go with your product on the landing page. Just a thought.

Tarun

@osakasaul Hmm, that’s a fair point. I’ll definitely consider your feedback. Thank you!

Phil Liu

Congrats on the launch! Making AI agents production-ready and simple is a huge task.

I am curious about one thing: Multi-Tool Reliability. When the agent uses multiple tools (like a calculator and a database) in one single chain, how do you handle the error states and make sure the logic remains stable?

Tarun

@elser_ai Error handling for multiple tools in a single chain is designed to be resilient by capturing exceptions at the execution level and feeding them back to the agent as observations. This ensures the agent's "thought process" isn't interrupted by a crash, allowing it to recover or correct its course.