Scoopika
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About
Scoopika is an open-source toolkit designed for developers to create fast, reliable, and multimodal LLM-powered web applications. It simplifies the integration of various LLM providers while providing a robust framework for handling complex tasks like response streaming, multimodal inputs, and output validation. The platform focuses on reliability by offering built-in error recovery and smart retries, ensuring that AI agents perform consistently in production environments without requiring extensive boilerplate code. The tool provides several core functionalities that streamline the development process. Developers can create AI agents that interact with data and APIs, generate structured JSON data from multiple sources including text and images, and maintain long-term conversation history through managed, encrypted serverless memory stores. Additionally, Scoopika supports Knowledge Stores, allowing users to expand an agent's knowledge base by uploading files, PDFs, or websites, which are then served from 26 regions globally to minimize latency and ensure high performance. Scoopika is specifically tailored for engineers and developers who need to deploy AI features quickly without managing the underlying infrastructure for memory or knowledge retrieval. It supports popular web frameworks like React and Next.js, offering specialized SDKs for both server-side and client-side operations. This allows for real-time interactive applications, such as voice-enabled assistants that can process multiple audio files and stream voice responses in under 300ms. What distinguishes Scoopika from other LLM orchestration tools is its focus on a developer-first experience and its hybrid open-source model. Approximately 90% of the platform is open-source, allowing for transparency and flexibility. It introduces zero extra costs to LLM provider fees, with a pricing model that only charges for managed services like encrypted memory and knowledge stores. Features like built-in JSON validation and automatic error handling make it an effective bridge between raw AI models and production-ready applications.
Pros & Cons
Open-source toolkit with approximately 90% of the platform available on GitHub.
Ultra-low latency voice response streaming in under 300ms.
Built-in JSON validation and smart error recovery for high production reliability.
Managed serverless memory stores served from 26 regions globally for low latency.
Zero additional markup or costs added to your chosen LLM provider fees.
Key features like long-term memory and knowledge stores are restricted to paid plans.
The Special Offer custom build service is limited to only 10 clients.
Audio processing speeds and storage limits are capped based on the subscription tier.
Primarily focused on TypeScript and web frameworks, which may limit developers using other languages.
Use Cases
Web developers can integrate real-time voice-to-voice assistants into their apps with sub-300ms response times.
Data engineers can automate the extraction of validated JSON from multimodal sources like images and audio.
Product teams can create custom AI search engines by uploading company documents to managed knowledge stores.
Solo builders can launch LLM-powered side projects for free using the Hobby plan for core agent runs.
SaaS startups can scale AI agents globally using edge-close memory and knowledge storage in 26 regions.
Platform
Task
Features
• multimodal ai agents
• llm output validation
• real-time voice interaction
• multi-provider llm support
• built-in error recovery
• managed knowledge stores
• serverless long-term memory
• structured json generation
FAQs
Does Scoopika charge extra for LLM usage?
No, Scoopika adds $0 to your LLM provider's costs. You connect your own providers safely from your servers, and you only pay Scoopika for optional managed features like memory and knowledge stores.
What kind of inputs can Scoopika agents handle?
Scoopika agents are multimodal, meaning they can process text, images, audio files, and URLs simultaneously. This allows for complex data extraction and interaction beyond simple text prompts.
How does the long-term memory feature work?
Scoopika provides managed, serverless, and encrypted memory stores. This removes the need for developers to manually manage conversation history or store messages in their own databases.
Which web frameworks are compatible with Scoopika?
Scoopika is built to work with any web framework, with specific support and building blocks for React and Next.js. It offers Typescript SDKs for both server-side and client-side integration.
What is the latency for voice interactions?
The platform is optimized for real-time applications, capable of streaming voice responses in under 300ms. It can also process multiple audio files in parallel for faster performance.
Pricing Plans
PRO
USD25.00 / per month• Everything in Hobby
• Serverless managed long-term memory
• Knowledge from files & websites
• Real-time voice responses
• Higher rate limits
• Faster audio files processing
SCALE
USD70.00 / per month• Everything in PRO
• Higher memory storage & requests
• Higher knowledge monthly requests
• More voice responses characters
• Almost no rate limits
• Direct support and assistant
Hobby
Free Plan• Unlimited AI agents runs
• Connect your LLMs providers
• Add tools to agents
• Real-time streaming
• LLM output validation
• Full type-safety
• Smart error recovery
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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