A fully managed PaaS with Agent IDE, integrated vector stores, and seamless connections to apps, data sources, and leading AI models — empowering you to rapidly build, test, and deploy high-performance AI Agents at the Serverless Edge.
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The all-in-one AI agent platform just got a massive upgrade! Everyone should use this.
@bgiffuni thanks for your trust and its been an absolute delight to work with you.
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Congrats on the launch! Really like the focus on speed and cohesion — excited to see a framework that prioritizes developer experience end-to-end. Curious how you’re thinking about memory management across complex flows, and how customizable the GraphQL API is for production use. Subscribed to the roadmap — cheering you on! 🚀
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Thanks for the feedback and the instightful questions @yuliya_fomina! We love that you see Lamatic as an end-to-end solution. It is for this reason that we think of Lamatic as more than a framework. It's managed middleware combined with an IDE & SDK which is built specifically for product teams working to move faster than their (current & potential) competitors.
To answer your specific questions: 1) Memory Management: The Lamatic platform provides its own memory. Not only does this extend the context window of whatever foundation models you connect your Lamatic flows to, it also allows you to maintain context across models and user sessions. 2) GraphQL API: Unconstrained flexibility is exactly the reason Lamatic leverages GraphQL to serve out whatever agents / APIs you build. The moment you update the input (or output) schema and deploy, your API and all the API Docs are updated instantly in production. It is literally 100% customizable.
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Awesome, guys, you're amazing. Another tool for agents, I'll definitely try it.
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Awesome mate! It’s really cool. Wish you all the best here
We develop AI agents and build deployment strategies for small to midsize companies and just love the way Lamatic.AI keeps everything structured and organized. Its almost in all our technology layer now.
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Congrats on the launch! The collaborative, visual IDE and instant edge deployment are game changers in how they help us move faster, ship more reliably, and innovate without the usual tradeoffs. Big fan, and excited to see what’s next for Lamatic!
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This platform is a game-changer for AI development! As a fully managed PaaS with an Agent IDE, integrated vector stores, and seamless connections to apps, data sources, and leading AI models, it empowers developers to rapidly build, test, and deploy high-performance AI Agents at the Serverless Edge. The streamlined workflow and comprehensive toolset make AI development more accessible and efficient. Perfect for teams looking to accelerate their AI initiatives while maintaining top-tier performance and scalability.
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I'm thrilled with the integrated vector stores and the effortless connections between apps and data sources!
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The all-in-one AI agent platform just got a massive upgrade!
Everyone should use this.
Great for rapid AI agent development! 👀
Lamatic.ai
@shenjun Thank you for your feedback
I've been a fan of Lamatic since day one. We're currently doing a major development that includes Lamatic.
And Lamatic is a HUGE fan of Navigamo @bgiffuni! Thanks Blas for you and your team's ongoing support.
Lamatic.ai
@bgiffuni thanks for your trust and its been an absolute delight to work with you.
Congrats on the launch! Really like the focus on speed and cohesion — excited to see a framework that prioritizes developer experience end-to-end. Curious how you’re thinking about memory management across complex flows, and how customizable the GraphQL API is for production use. Subscribed to the roadmap — cheering you on! 🚀
Thanks for the feedback and the instightful questions @yuliya_fomina! We love that you see Lamatic as an end-to-end solution. It is for this reason that we think of Lamatic as more than a framework. It's managed middleware combined with an IDE & SDK which is built specifically for product teams working to move faster than their (current & potential) competitors.
To answer your specific questions:
1) Memory Management: The Lamatic platform provides its own memory. Not only does this extend the context window of whatever foundation models you connect your Lamatic flows to, it also allows you to maintain context across models and user sessions.
2) GraphQL API: Unconstrained flexibility is exactly the reason Lamatic leverages GraphQL to serve out whatever agents / APIs you build. The moment you update the input (or output) schema and deploy, your API and all the API Docs are updated instantly in production. It is literally 100% customizable.
Awesome, guys, you're amazing. Another tool for agents, I'll definitely try it.
@german_merlo1 Thank you very much Germán Merlo
We develop AI agents and build deployment strategies for small to midsize companies and just love the way Lamatic.AI keeps everything structured and organized. Its almost in all our technology layer now.
Congrats on the launch! The collaborative, visual IDE and instant edge deployment are game changers in how they help us move faster, ship more reliably, and innovate without the usual tradeoffs. Big fan, and excited to see what’s next for Lamatic!
This platform is a game-changer for AI development! As a fully managed PaaS with an Agent IDE, integrated vector stores, and seamless connections to apps, data sources, and leading AI models, it empowers developers to rapidly build, test, and deploy high-performance AI Agents at the Serverless Edge. The streamlined workflow and comprehensive toolset make AI development more accessible and efficient. Perfect for teams looking to accelerate their AI initiatives while maintaining top-tier performance and scalability.
I'm thrilled with the integrated vector stores and the effortless connections between apps and data sources!