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Scoopika

Scoopika is a leading open-source platform revolutionizing the development of multimodal Large Language Model (LLM) applications. It simplifies the creation of AI agents capable of interacting with te

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  • Open source
  • Free forever
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What is Scoopika?

Scoopika is an open-source platform for building AI agents that work with multiple types of input: text, images, audio, and web URLs. It's designed for developers who want to create applications powered by large language models without being locked into a single vendor or payment model. The platform handles the technical complexity of multimodal processing, real-time interaction, error recovery, and memory management so you can focus on what your application does. Scoopika supports both code-based and no-code approaches, making it accessible whether you're comfortable with APIs or prefer visual configuration. It's particularly useful if you need to deploy globally or want to keep costs predictable by only paying for features you actually use, rather than consumption-based pricing.

Key features

Multimodal input support

process text, images, audio, and URLs in a single application

Real-time processing and error recovery

handle failures gracefully without losing conversation context

Long-term memory management

maintain conversation history and user data across sessions

Edge-served serverless knowledge stores

expand AI knowledge without relying solely on the model's training data

No-code and code-based options

build with visual tools or write code depending on your preference

Global deployment with cost-efficient pricing

pay only for optional features, not per API call

Pros & cons

Advantages

  • Open-source, so you're not locked into proprietary systems and can modify it for your needs
  • Handles complex multimodal workflows without requiring you to stitch together multiple tools
  • Transparent pricing model: no surprise costs from high API usage
  • Includes memory and context management built in, rather than as an afterthought

Limitations

  • As an open-source project, support depends on community resources rather than dedicated teams
  • Requires some technical setup and infrastructure knowledge to deploy effectively
  • Documentation and community adoption may be smaller compared to well-established platforms

Use cases

Building chatbots that can understand images, documents, and audio uploads from users

Creating search engines that index and understand multiple content types

Data processing tools that extract insights from mixed-media documents and files

Customer support agents that handle text, image, and audio inquiries

Research assistants that synthesise information from URLs, documents, and user input

Ready to try Scoopika?

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Pricing

Open Source

Free

Full access to the open-source codebase; self-hosted deployment; pay only for optional managed features if needed

Get started with Scoopika

Click through to Scoopika and start using it now.

Get Scoopika
  • Open source
  • Free forever