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Scoopika

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Coding & Development

Introduction

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Scoopika Product Information

Scoopika is an open-source toolkit that lets developers build modern, fast, multimodal LLM-powered web applications 10x faster. It provides built-in streaming, error recovery, multimodal inputs handling, LLM-output validation, and serverless memory/knowledge stores to power AI agents that can interact with data, APIs, and voice in real-time.

Overview

  • Open-source, developer-first platform to connect LLM providers, build AI agents, and deploy multimodal apps with ease.
  • Key capabilities include multimodal inputs (text, images, audio), real-time streaming, validated JSON outputs, and edge-hosted knowledge/memory stores.
  • Targets building AI assistants, automation bots, data extraction tools, search engines, and more with visibility into APIs and external data sources.

How Scoopika Works

  1. Connect your LLM provider. Power agents with your preferred LLM securely from your infrastructure.
  2. Create AI agents. Define agents that can perform tasks like automation, chat, or data extraction.
  3. Add tools and APIs. Equip agents with APIs, tools, and knowledge sources they can use in context.
  4. Handle multimodal inputs. Feed text, images, and audio to agents; support for voice interactions with streaming responses.
  5. Store memory and knowledge. Use managed serverless memory stores and knowledge stores to retain context and expand capabilities.
  6. Deploy easily. Run agents in your app or expose them as HTTP endpoints with streaming support.

Key Capabilities

  • Multimodal inputs: Text, images, audio (with real-time processing and streaming)
  • AI agents: Build automation apps, chatbots (text & voice), and data extraction tasks
  • Data sources: Connect files, websites, PDFs, URLs to knowledge stores
  • Memory & knowledge stores: Managed, edge-hosted memory and knowledge storage
  • JSON validation: Generate validated JSON according to any schema with retries and error handling
  • Streaming: Real-time text and voice output for interactive experiences
  • Custom tools & APIs: Use any API or custom function your code provides
  • Security & hosting: Deploy endpoints on your own cloud with memory/knowledge stores managed by Scoopika
  • Open source: 90% of Scoopika components are open source for easy inspection and contribution

How to Use Scoopika

    1. Connect your provider: Link your LLMs securely from your servers.
    1. Create AI agent: Build an agent for your desired use case (automation, chat, data extraction).
    1. Build: Deploy the agent in your app or expose it as an API endpoint with streaming support.
  • Use cases: Multimodal AI assistants, AI-powered search engines, data extraction bots, and complex automation tasks.

Why Scoopika

  • Built for developers and engineers: easy integration with simple APIs, strong type-safety, and clear error handling.
  • Real-time streaming and memory/knowledge management reduce the burden of maintaining context.
  • Edge-native deployment and global scalability across 26 regions.
  • Open source core with commercial options for advanced features like long-term memory and larger knowledge stores.

Core Features

  • Open-source toolkit for building multimodal LLM-powered web apps
  • Real-time streaming of text and voice responses
  • Multimodal inputs (text, images, audio) with fast processing
  • AI agents that can interact with data, APIs, and knowledge stores
  • Validated JSON output generation with retry and error handling
  • Managed memory stores and knowledge stores at the edge
  • Tools and API integration to fetch data or perform actions based on context
  • Easy deployment as app components or HTTP API endpoints
  • Strong focus on performance, reliability, and scalable architecture
  • No vendor lock-in with self-hosted, configurable infrastructure

Example References

  • Example usage snippet shows how to instantiate Scoopika and an agent, provide inputs, and handle hooks for token events and tool calls. This illustrates the developer-friendly approach and extensibility for custom workflows.

Pricing Tiers (High-level)

  • Free/Starter: Core features with unlimited AI agent runs and real-time streaming
  • Pro: Voice responses, long-term memory, expanded knowledge stores, higher rate limits
  • Scale: Higher memory, higher throughput, larger knowledge quotas, prioritized support
  • Availability of on-demand custom development and enterprise options

What’s Included

  • Built-in streaming, memory encryption, and LLM output validation
  • Edge-hosted memory and knowledge stores for low-latency access
  • Simple, typed APIs for agents, tools, and memory/knowledge stores
  • Client/server deployment options with hooks for custom behavior
  • Fully open-source core with paid upgrades for advanced features