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Scoopika

Build and deploy LLM-powered web apps easily with Scoopika's open-source platform.

AI Assistant Updated 7 hours ago
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Scoopika

Scoopika's Top Features

Multimodal input processing
Real-time text and voice streaming
Built-in error handling
Serverless encrypted memory stores
Edge knowledge integration
Advanced voice interaction support
JSON object validation
Global infrastructure optimization
Open-source customization
Developer-friendly APIs

Frequently asked questions about Scoopika

Scoopika is an open-source platform for creating LLM-powered applications, enabling AI agents that handle multimodal inputs and outputs.

It includes real-time streaming, multimodal processing, error recovery, and serverless memory and knowledge stores for scalability.

Scoopika offers free 'Hobby', and paid 'Pro' and 'Scale' plans with additional features like long-term memory and higher rate limits.

Basic technical knowledge is useful, but no-code tools and comprehensive documentation make it accessible for non-technical users.

Create AI agents like website assistants, multimodal search engines, data extraction tools, and more.

Scoopika uses data encryption and secure API handling; developers are responsible for their app's data security.

Scoopika uses TypeScript, supporting React, Next.js, and offers SDKs for integration.

It uses global infrastructure and edge databases to support optimal performance and scalability.

Yes, being open-source, it allows for extensive customization and community contributions.

Recent updates focus on UI improvements, expanded LLM support, and enhanced error handling.

Scoopika's pricing

Hobby

$0/monthly

  • Unlimited AI agent runs
  • Connection to LLM providers
  • Add tools to agents

Pro

$25/monthly

  • All Hobby features
  • Serverless managed long-term memory
  • Expand agent knowledge from files and websites

Scale

$70/monthly

  • All Pro features
  • Increased memory storage and requests
  • Higher knowledge monthly requests

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Category
AI Assistant
Tags
open-source
multimodal
Large Language Model
AI agents
real-time processing
error recovery
long-term memory
no-code
global deployment
cost-efficiency

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