Rivet

Open-source visual AI programming environment from Ironclad

5.0•2 reviews•

112 followers

Open-source visual AI programming environment from Ironclad

5.0•2 reviews•

112 followers

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Rivet is a visual programming environment for building AI agents with LLMs. Iterate on your prompt graphs, then run them directly in your application. Rivet was born out of our need at Ironclad to build complex AI agents within our existing application.

Free

Launch tags:Open Source•Developer Tools•Artificial Intelligence

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Rivet

Maker

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Hi Product Hunt! I'm Cai, the technical co-founder of Ironclad. We're really excited to launch Rivet! This is our first open-source software initiative at Ironclad, and it's been transformative to our work with LLMs and AI agents. Our hope is that Rivet can be similarly transformative for others, and become part the emerging ecosystem of LLM and agent tooling! We'd love for you to try it out, and hear what you think! Are there parts of it that feel particularly compelling? Things it would be cool to push on?

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3yr ago

Devin by Cognition

What is the maintenance plan for this? I see that you're primarily working on the Ironclad contract AI. Would be curious if these are things you've thought about: - When prompts get really long or potentially contain long content, how to prioritize the contents to fit within the context - How you might create an integrated evaluation flow within Rivet (there are so many edge case errors in AI agent dev and you'd want to cover as many as you can!) Looks like a cool product! Will have to try it out on my AI projects.

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3yr ago

Rivet

Maker

@walden_yan1 thank you! And great questions! We're far from done with Rivet! As we continue to work on Ironclad Contract AI, we will continue to add to Rivet's capabilities. AND we JUST added the plug-in system, which our friends at AssemblyAI have already been able to use to integrate their audio transcription and understanding AI models into Rivet! Tons of potential there. Re: long prompts - Rivet doesn't do much to protect you from this automatically. However, for Ironclad Contract AI, we make use of things like the "chunk" node to split up large bits of text, and the Vector DB nodes for recalling relevant context. So we think there's enough to get by here, but there is certainly room for more. Re: integrated evaluation flow - Rivet has "testing" utilities, but they're much more like "unit tests" than evals. While I could see this becoming "native" to Rivet, I actually think the plug-in system opens up the possibility of integrating Rivet with emerging solutions around evals!

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3yr ago

Pesto

Great work on the launch, Ironclad team! 🥳 Can't wait to use this for more complex generative pipelines. Curious: what was the motivation for providing a Tauri desktop app for the initial release? Are there workflows present in the desktop version that make development easier?

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3yr ago

Rivet

Maker

@vivek_nair thanks! Actually, when running locally, you can open it in a web app. There's one catch, though: saving project files is pretty janky (it downloads the project file). I think basically everything else works pretty well, though!

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3yr ago

Very cool, congrats on the launch Cai and team! Who's the target ICP - mid/late stage enterprises or startups/tinkerers? Or both?

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3yr ago

Rivet

Maker

Thanks @damndan! ICP is probably early to growth-stage start-ups! That's at least what a lot of our early design partners and collaborators have been. Rivet slots in neatly to most modern TypeScript applications, and is pretty easy to adopt progressively. (Also depends on your definition... I'd consider Ironclad a "growth-stage start-up," but I imagine others would say otherwise!)

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3yr ago

Love that Ironclad is creating and sharing these tools with the greater community. Congrats on the launch!

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3yr ago

Videodeck

Kudos on launching Rivet, it sounds like a groundbreaking tool in the LLM and AI agent ecosystem! Being open-source is such a power move - it truly lets a community sculpt the best version of a product. Given that we often deal with video production for SaaS companies, I'm eager to explore if there's a space where Rivet could revolutionize the way we interact with LLMs in this domain. Keep up the awesome work, and can't wait to see how Rivet evolves with community insights! 🌟

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3yr ago

Rivet

Maker

@heleana thank you!!

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3yr ago

Super cool. What features do you think companies should build with agents using Rivet?

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3yr ago

Rivet

Maker

@doug_safreno1 thanks! At Ironclad, we have been using Rivet to build an agent in a chat interface. But we've already seen other companies doing very different things. Our friends at Bento (also on PH today!) created an awesome way to build new contextual on-boarding guides based on things like help center articles and just clicking around in an app.

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3yr ago

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5.0

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