Lamatic 3 offers a complete reimagined approach to building Agentic Apps. We are thrilled to introduce a developer-focused Studio Refresh, a GitHub-based version control system, and environments. Additionally, we have AgentKit for quick deployment of agents and Vibe Assistants.
Whoa ... that's a lot of new stuff. How long have you been keeping all this from us? I can't wait to try out the new Assistants!
I could see how integrating Lamatic’s automation into our tool could streamline workflows and boost user efficiency, so I’m definitely going to take a closer look at that launch and see how it fits into what we’re building.
This is precisely the unlock we needed for cross-functional Agent building. Looks exciting!!
Hey Product Hunt! 👋
While the rest of the team focused on the core infrastructure and visual flow, my mission for Lamatic 3.0 was to make the actual building experience effortless using—you guessed it—AI.
I’m thrilled to introduce the Family of AI Assistants living inside the Studio. I built these to act as your co-pilot, so you never get stuck on a blank screen.
We shipped: ✨ Vibe Builder: Generate full AI agents from a single screen just by describing what you want. ✨ Flow & Node Assistants: Get real-time guidance and a mini-expert inside every node to optimize inputs and fix errors. ✨ Code & Prompt Assistants: Write, refine, and debug code or prompts with contextual suggestions without leaving your workspace.
A massive shoutout to @arun2728 for the guidance and help in bringing this architecture to life!
I would love to know: which part of agent building do you usually find the hardest? Hopefully, our new assistants can help solve that! 👇
Clean take on agent tooling. Visual builder + GitHub versions is the bit I wanted. Less glue code. Real-time traces and experiments might save me some 2am debug pain. I'll poke AgentKit this weekend; 5-min ship would be wild. If the federated GraphQL plays nice with my schemas, I'm in.
Interesting Product @chuck_whiteman@arun2728@naitik_kapadia . I’m curious how the new flow builder changes day-to-day use. Does it actually make complex automations easier to set up without extra guidance?
👋Hola Product Hunt!
Both excited & grateful to everyone that worked so hard to turn tons of customer feedback into Lamatic 3.0.
We know that this is just another step on our path to powering the pivot to Software 3.0, but it's a big one. I'm most excited about Lamatic's new Flow Assistant. Not only does it help customers build better agents faster, it's also a cool example of using Lamatic to embed AI into a software product (it's mind-bending that Lamatic is being used to build Lamatic 🤯).
Please check out this list of everything else that's new in 3.0 and let me know your favorite new feature!
Thanks all for your continued support as we keep working hard to support builders everywhere! 🚀
Adding a separate logs/reports section is a win, especially for debugging, but how fast can a user pinpoint the exact node causing a failure?
Specific agents with domain expertise are definitely game-changer. How does Lamatic AI measure "reliable"?
Hey Product Hunt! 👋
I'm a Founding Engineer at Lamatic.ai, and I’m the one behind our new Version Control & Environments (Branches) system in 3.0.
Our goal with this release is simple: make the entire user journey smoother, more reliable, and production-ready.
🤔 Why do you need Version Control Systems?
Building production-grade AI agents demands the same engineering discipline as any real-world software system - and that starts with version control. When you're transforming domain expertise into dependable AI flows, you need clarity on every change:
Which prompt performed best?
What model configuration worked?
Who modified what—and when?
That’s why we brought GitHub integration directly into Lamatic Studio. It gives teams a familiar workflow while adding the ability to automatically audit changes, roll back flows or deployments, and maintain full accountability across the board.
🌱 Why environments (branching) matters?
Branching is especially powerful for agent development. It lets you cleanly separate production from development - so you can experiment freely without risking live systems. Spin up a branch, test safely, iterate fast, and merge only when the flow is stable.
In AI systems - where even a tiny prompt tweak can shift behavior dramatically - version control isn’t a nice-to-have. It’s the foundation for building agents that actually perform reliably in production.
Happy to answer questions or dive deeper into how it works!
Hi ProductHunt,
I work as DevRel Lead @Lamatic.ai , and I’ve been deeply involved in working the developer experience, documentation, and use cases.
We’d love to hear any doc-related thoughts you have, whether it’s something you enjoyed or an idea to enhance the experience. Every perspective helps us refine Lamatic in the right direction.
Looking forward to being part of your journey with Lamatic 3.0!
Excited to see what lamatic is building. Congratulations on your version 3.0 launch
Hey Product Hunt,
I'm an Applied AI Engineer at @Lamatic.ai, and I'm here to support you as you explore Lamatic 3.0.
While the team has built some powerful new capabilities into this release, I know that getting started with agentic systems can feel overwhelming—especially if you're exploring agent orchestration for the first time. That's where I come in.
I'm currently handling our support efforts, so whether you're just getting started and want some guidance, have questions about how something works, or simply want to discuss a use case you're building, I'm here to help.
Feel free to reach out anytime, and I'll be happy to assist you as quickly as possible.
Looking forward to being part of your journey with Lamatic 3.0!
Hey Product Hunt!
I'm a Founding Applied AI Engineer at Lamatic.ai, and I'm excited to finally share something we've been working hard on: AgentKit – our open-source framework for building full-stack agentic applications. Check it out: https://github.com/Lamatic/AgentKit
AgentKit is basically a ready-to-go boilerplate that lets you build multi-agent applications without starting from scratch. We designed it to be modular and scalable, so you can handle complex workflows with fault tolerance and smart routing. Your agents don't just think – they actually coordinate with each other.
It integrates seamlessly with Lamatic's ecosystem (our reasoning APIs, vector stores, orchestration tools), and we've built it to handle real-world scenarios – from knowledge assistants that reason over documents to agent networks that automate entire workflows.
I helped architect the core logic – how agents communicate, handle retries, and pass state between each other. I also worked extensively on our Agent Kit Reasoning system, which enables multi-agent collaboration in structured flows: https://www.lamatic.ai/templates/agentkits/agentic/agent-kit-reasoning
Plus, I made sure everything plays nicely with Lamatic's managed infrastructure so you can run these agents serverless and scale them reliably. Integrated all of these into web applications for the world to simply plug and play products into their system.
Why give it a shot?
Developers: Get a battle-tested foundation instead of reinventing the wheel
Startups: Quickly prototype and validate your ideas with real agent workflows
Enterprises: Build secure, production-ready knowledge systems and assistants
Open-source first: Fork it, extend it, make it yours
We're actively building new AgentKits for different use cases (like hiring automation: https://www.lamatic.ai/agentkits/kit-automation-hiring), adding more connectors, richer UI components, advanced orchestration patterns and scalable kits for handling not just apps, but devops and complex pipelines with AI too!!
I'd genuinely love your feedback – try it out, open issues, suggest features, or contribute. Your input will directly shape where we go next.
Before I wrap up, I have to give a huge shoutout to our amazing dev team @arun2728@naitik_kapadia@ian_dsouza. None of this would've been possible without their late nights, creative bug-solving, and relentless commitment to making AgentKit something we're all proud of.
If you have any UI or UX thoughts, whether it’s something you enjoyed or an idea that could make the experience even better, we’d love to hear them. Every perspective helps us keep refining Lamatic in the right direction.
Hey Product Hunt,
I’m a Founding Engineer at @Lamatic.ai and I’ve been deeply involved in building out the core logic layer that powers how flows behave under real world conditions.
With this launch, we’re introducing a major step forward in how teams design reliable agent systems:
Model Logic lets you run models in parallel, set fallbacks, and add smart retries to keep flows steady even when models stall or APIs misbehave
Node Logic adds cleaner routing, controlled loops, and stronger error handling so every step adapts to real data
Feedback API helps you capture signals from each execution and improve your agents through real user insight
Streamlined prompt management, including the ability to update all flows that use the same prompt with a single change
We’ve also expanded our integrations stack. Airtable, Notion, Twilio, Gmail, and SMTP now work right out of the box, giving you more flexibility when connecting your flows to external tools and data.
On top of that, I’ve also worked on making one click deployments smoother for templates and Agentkits created by @dhruv_pamneja , so you can have your first agentic application live in just a few minutes.
As always, everything here was shaped by real user input, and we’d love to hear your thoughts as you explore this release. Looking forward to your first impressions of Lamatic 3.0.
Meow Product Hunt 👋
It's launch week at Lamatic! This week, @amanintech and team launched a new feature every day, including:
New UI (dark mode ftw)
New Flow Builder
Prompt IDE
For this last day: Battle Royale
@Lamatic.ai and @Gatling are launching today on @Product Hunt. The most upvoted product wins.
Join the fun!