Build AI assistants that can collaborate and access external tools, APIs, and real-time data. With data validation, errors recovery, real-time responses, and long-term memory.. You can build reliable LLM-powered apps easily without the hustle
Hello Product Hunters 👋
Ever dream of having super-powered AI assistants in your app? But then reality hits: unexpected LLM output and complex integration, data validation woes, and juggling server-side/client-side communication?
Introducing Scoopika! ✨
✅ Build custom AI agents that collaborate, use external tools & APIs, and access real-time data based on context.
✅ Say goodbye to data validation nightmares! Scoopika handles it all with full type safety.
✅ Stream agent responses seamlessly with +10 built-in hooks for both server and client-side. No sweat!
✅ Power agents with client-side actions so they can perform actions in the user's browser in real-time for next-level user experience.
✅ Long-term memory, managed effortlessly with Serverless history stores & zero setup.
✅ Effortless integration with your tech stack. Flexibility is our middle name.
✅ Works with your LLMs and all your API keys are kept safe on your servers and never shared with us.
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What can agents do?
✅ Engage with users in natural language conversations, utilizing available tools to fetch data or perform actions.
✅ Generate validated and type-safe structured JSON data from any unstructured data.
✅ Collaborate with other agents! connect them into a multi-agent boxes or pass an agent as a tool to another agent so they can call each other when needed.
✅ See the world! If the LLM powering your agent supports vision then your agent will too.
....and we're not done yet!
✅ Turn any function in your app into a tool your agent can use.
✅ Plug custom knowledge to your agents or connect a vector database for RAG.
✅ Scoopika doesn't plug custom data to your LLMs so your costs stays in your hand with your own prompts.
✅ If your agent has access to a lot of tools, Scoopika will select the most suitable ones for each run so the context window stays in hand.
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My Story (the Pain Point):
I was there, folks. Building an app with AI assistants that use LLMs with function-calling to perform actions for users... sounded amazing! But the reality? Unexpected LLM outputs, constant data validation struggles, and a tangled mess of managing LLM flow, history, and server-client interactions. Needless to say, the feature got scrapped.
That's why I built Scoopika! To make adding powerful AI assistants to your web apps a breeze. Focus on what matters: creating awesome user experiences! ✨
Go give it a try, It's open-source and free to use with a pro plan for extra features with 10% off.
This is just the start and many great things are coming in the future!
Thanks
Congratulations on the launch! Scoopika truly stands out with its seamless integration of AI-powered agents, making it incredibly useful for automation and data-driven decisions.
congratulations on the launch of scoopika, kais. your approach to simplifying the integration of AI assistants sounds very robust. i'm curious, how does scoopika ensure data privacy, especially given its ability to access real-time data and connect various APIs?
This is mind-blowing! The amount of thought and effort that went into building Scoopika is incredible. How long did it take you to go from initial concept to this impressive open-source project?
Congrats on launch and I've stared your project.
I upvoted because it offers an easy way to integrate AI agents into applications, making it accessible to add powerful AI features without extensive development effort. The ability for these agents to access external tools, APIs, and real-time data adds a lot of versatility.
How robust is the data validation and error recovery when deploying these AI agents? Ensuring reliability and minimizing disruptions are key to a smooth user experience.
About Scoopika - TS packages on Product Hunt
“Bring reliable AI virtual assistants to your app”
Scoopika - TS packages launched on Product Hunt on May 23rd, 2024 and earned 100 upvotes and 7 comments, placing #25 on the daily leaderboard. Build AI assistants that can collaborate and access external tools, APIs, and real-time data. With data validation, errors recovery, real-time responses, and long-term memory.. You can build reliable LLM-powered apps easily without the hustle
Scoopika - TS packages was featured in Open Source (68.3k followers), Developer Tools (511.2k followers), Artificial Intelligence (466.5k followers) and Bots (110.5k followers) on Product Hunt. Together, these topics include over 168.1k products, making this a competitive space to launch in.
Who hunted Scoopika - TS packages?
Scoopika - TS packages was hunted by Kais radwan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Scoopika - TS packages stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kais radwan