Limited Capacityfull Adding this to your schedule will put you on the waitlist.
We are hearing a lot about agentic AI right now. Every developer is testing it, looking to implement it, and some are even pushing it to production. However, the ecosystem is still highly uncertain; the surrounding technologies (ADK, LangGraph, CrewAI, etc.) are very young. Ultimately, picking one right now feels more like a gamble than an informed choice.
**So, what solution would allow us to both set a clear framework and ensure agentic sovereignty? Small Agent!**
Within the LMFR AI team, we have built a framework that empowers any developer to implement agents in just three lines of code. All the underlying complexity is managed by the framework itself. Thanks to A2A, we standardize the interfaces so that, in the end, whether you choose LangGraph, ADK, or another tool behind the scenes, it simply doesn't matter.
It features two operating modes: * Low-Code: If you want minimal code to run a V0 agent, let the framework do the heavy lifting. * Advanced: If you are experienced in orchestration, you have full control. For example, if you use LangGraph, you can manage the graph directly. Everything is defined as classes, leaving you completely free to use code overrides as your imagination dictates.
This framework will enable us to: * Accelerate everyone's daily workflow. * Centralize complexity within the AI team, allowing every developer to implement easily. * Achieve true technological sovereignty. * Guarantee agentic consistency across the company.
**Additional Notes / Context:**
And yes, this really exists! We are already starting to implement it in specific areas. We also have our sights set on deploying an operational agent directly onto Turbine, using the A2A protocol to standardize communications with the agents.
