Description
Scoopika is an open-source platform for developers building multimodal, LLM-powered applications and AI agents. It bundles the pieces that agent apps usually need, connections to LLM providers, function calling, structured output, conversation memory, and knowledge retrieval, into one toolkit, so a team can ship AI chat interfaces, data-extraction tools, and voice-enabled agents without assembling that infrastructure from scratch.
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A developer connects their own LLM providers, then defines agents through Scoopika's SDK. Agents can call custom functions written in the developer's own code, search the web for results, and take multimodal input, combining text, images, audio, and URLs in a single request. They can also generate real-time voice responses and interact with a user's own data and APIs. For structured work, agents generate validated JSON output against a defined schema, drawn from any of those input types, which suits data-extraction and content-generation tasks where the output needs to match a fixed format.
Conversation history is handled by managed, encrypted, serverless memory stores, so a developer does not need to build session persistence themselves. Agents can also be given a knowledge base by uploading files or websites to serverless knowledge stores, served close to users for low-latency retrieval. Scoopika publishes TypeScript client and React packages with documentation for wiring the framework directly into a web application.
The platform is open source, with Scoopika stating roughly 90 percent of it is published for anyone to inspect, use, and build on. A paid plan extends the free tier, though the site does not publish the specific paid features or price.
Scoopika is built for developers rather than non-technical users, since integrating it means writing code against its SDK rather than using a visual builder. It suits teams building AI chat interfaces, agents that read and act on structured data, and multimodal applications that combine text, voice, image, and file inputs in one product.
- CategoryAI Agent Builders
- Pricing ModelFreemium
- DeploymentCloud
Scoopika's Core Features
Connects to your own choice of LLM providers
Multimodal agents combining text, image, audio, and URL input in one request
Custom function calling against your own code and APIs
Structured, schema-validated JSON output generation
Real-time voice response generation
Managed, encrypted serverless memory for conversation history
Serverless knowledge stores built from uploaded files or websites
TypeScript client and React packages for direct integration
Open-source core (roughly 90% of the platform)
Getting Started with Scoopika
Install: Add the Scoopika TypeScript client or React package to your project.
Connect providers: Add your own LLM provider credentials.
Define an agent: Configure its functions, input types, and output schema.
Add memory and knowledge: Attach a serverless memory store and, if needed, upload files or websites for the agent to reference.
Ship it: Wire the agent into your chat interface or application and deploy.
Scoopika's Use Cases
- AI chat interfaces
- Data extraction
- Knowledge-grounded agents
- Voice-enabled agents
