figuring out how to iterate rapidly with our AI efforts was poking around in the dark until we got Rivet set up and could start to isolate variables. So this has been really exciting to see.
Thanks! Super impressed by your team's application of AI!
Readit Newsgogwilt commented on Show HN: Rivet – open-source AI Agent dev env with real-world applications rivet.ironcladapp.com/... · Posted by u/gogwilt
Nice app, and thank you for OSS!
Am I right, that the following 2 services solve the same product in a similar way: https://github.com/logspace-ai/langflow , https://github.com/FlowiseAI/Flowise ?
It's absolutely ok if the answer is "Yes", I think that in this hot market each product will find a place. And competition is also motivate :)
It would be also nice to add Rivet here: https://github.com/kyrolabs/awesome-langchain#low-code
Thanks!
Yes, I think Rivet, langflow, and flowise all came to the idea of visual programming for LLMs in parallel. I like to think it's a good sign that visual programming is a powerful paradigm here :)
I do think Rivet hits a pretty different use-case. Beyond being in the TypeScript ecosystem, Rivet's remote debugging and embedability are pretty unique, and super critical!
This is awesome! I've been looking for exactly this type of solution that gives a more intuitive (yet robust) ui and has node/typescript api (rivets node sdk is even better!).
Quick question, how does it know to choose plugins? I think you add a plugin node to the graph but are there ways in which you can describe what the plugin does so that an llm could dynamically choose amongst plugins? Or is this just building out a graph with nodes that explicitly choose amongst plugins via prompting?
Thanks so much for open sourcing this! Great work!
(also love that your docs authoring look to be assisted by llm's, so meta: https://rivet.ironcladapp.com/docs/api-reference/node/overvi...)
Thanks! Really glad to hear it, and excited to hear what you think!
Rivet doesn't have a built-in way of choosing between different ChatGPT plugins, so you have to explicitly build out the graph and choose via prompting. We published an example app that actually does this, although the "plugin choosing" part is intentionally simplistic: https://github.com/Ironclad/rivet-example
And yes... the docs and a decent amount of the code was heavily assisted by LLMs (all Andy, not me). Apparently if you look in the commit history, you can kind of see how Andy used Rivet to build Rivet!
Are there any real world projects which are open source using this? Would love to take a peek on how this looks like on something non trivial.
Unfortunately nothing beyond the example apps. We wanted to get an example with a full agentic loop together, but settled for the simpler chatbot.
We'd love suggestions here, actually. Can you think of a use-case that might be a good example to open-source? Preferably something that interacts with multiple APIs towards a specific purpose?
I played around with Rivet and contributed to it. Great tool!
Yes! Thanks a ton for your contributions!
What's the target ICP - mid/late stage enterprises or startups/tinkerers?
Likely 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!)
Awesome work Cai and Andy. Do you have advice on structuring functions for best results? (eg, is it a good idea to give my agent access to things like a calculator "in case it needs it" or be careful about spoon-feeding it the tools I think it needs)
Thanks!
I don't think it's a good idea to give an agent tools "just in case."
We've opted for giving our agents access to a few distinct, but powerful tools, and then trusting them to combine these tools in a strategic way. It's going well so far, but we are pretty careful to clearly explain the tools.
However, I've spoken to other teams that have opted for giving their agents tons of tools, and it sounds like that can work pretty well. But everything seems to take work and experimentation.
This is a game changer. I have implemented AI features recently, and it was a nightmare using code.
Visual programming is a perfect match for AI. And Rivet is very neat and polished. I will definitely use it to build the next AI feature
Thanks for sharing
Thank you! 100% with you on the nightmare using code.
We'd love your feedback when you get a chance to dig in! Building AI features is SUPER fun with Rivet!
Looks interesting! Since it's already typescript, are there any plans for a web app in addition to desktop?
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!