TaskGen Overview: Open-Sourced LLM Agentic Framework - Task-Based, Memory-Infused, StrictJSON

[@KasunWijesekara]

thanks for this video guys

[@alessandrofrau4196]

This was very very interesting, thanks for your work. Your approach on the JSON schemas problem is great: I actually suspected that saving tokens meant more quality and consistency in the agent's chain of thought. I look forward using your StrictJSON. Thank you and greetings from Italy.

[@johntanchongmin]

Do note Bharat is a core collaborator for TaskGen as well - I accidentally missed including his name on the front page!

[@myarchitecturallife4643]

It was interesting; keep making such videos.

[@johntanchongmin]

Do try out TaskGen too!

[@moralstorieskids3884]

can we use it in Production

[@johntanchongmin]

Definitely, it has already been used in production. Just use the right parts of it for better streamlined processes. Fixed processes can use rules or StrictJSON, flexible one use agents.