Scoopika
FreemiumBuild reliable multimodal LLM-powered apps 10x faster
By Tanmay Verma, Founder · Last verified 05 Jul 2026
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Added 7d ago
77/100Safe BetIn short
Scoopika — Build reliable multimodal LLM-powered apps 10x faster. Best for JS/TS developers building LLM-powered web apps quickly, Startups needing fast AI feature integration without infra overhead, Solo developers prototyping AI assistants. Free to start; paid plans from $25/mo.
Is Scoopika actually worth it?
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Editorial Verdict
Best for
JS/TS developers building LLM-powered web apps quicklyStartups needing fast AI feature integration without infra overheadSolo developers prototyping AI assistantsTeams requiring managed memory and knowledge storesBuilding chatbots, AI search, or data extraction tools
Not ideal for
Non-developers looking for a no-code AI builderEnterprise teams needing full on-premise deploymentProjects requiring custom model fine-tuningVoice-heavy apps that exceed free audio processing limits
Scoopika is a solid open-source toolkit for JS/TS devs who want to build multimodal AI agents with minimal boilerplate. Its built-in streaming, validation, and error recovery set it apart, but it's not for non-coders or teams needing on-premise deployment.
Skip Scoopika if Skip Scoopika if you are a non-developer seeking a no-code AI builder or need on-premise deployment, as the toolkit requires coding and the managed services run on Scoopika's cloud.
Compare with: Scoopika vs Draftbit, Scoopika vs Marvin, Scoopika vs Mirascope
Last verified: July 2026
Viability Score
77/100
Safe BetHow likely is Scoopika to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Multimodal AI agents (text, images, audio, URLs)
- Structured JSON generation from any schema
- Serverless long-term memory stores (encrypted, persistent)
- Serverless knowledge stores (RAG from files & websites)
- Custom functions from your code
- Google Search integration
- Any API integration
- Real-time streaming responses (text & voice)
- Voice input & output sub-300ms
- Automatic error recovery
- LLM output validation with retries
- Built-in encryption for memory stores
- Full type-safety (TypeScript)
- Client and server SDKs (@scoopika/react, etc.)
- Scalable global edge (26 regions)
About Scoopika
FreemiumIntermediateAPI availableAPI · Web
Scoopika is an open-source JavaScript/TypeScript toolkit for developers to rapidly build multimodal LLM-powered applications. It provides a full-stack framework for creating AI agents that process text, images, audio, and URLs, with built-in error recovery, response streaming, and LLM output validation. Targeted at developers of all skill levels, Scoopika handles common infrastructure headaches like data validation, conversation memory, and knowledge stores, letting you focus on features. Key capabilities include AI agents with custom functions, Google Search integration, and connection to any API. Scoopika offers serverless long-term memory stores (persistent chat history) and knowledge stores (upload files or websites for RAG). It supports voice input/output with sub-300ms response times, structured JSON generation from any schema, and automatic error recovery. The platform scales globally with memory and knowledge stores served from 26 edge regions. Scoopika provides client and server SDKs (@scoopika/scoopika, @scoopika/client, @scoopika/react) with full type-safety and easy integration with frameworks like React and NextJS. It's open source (90% of the code) with a free-forever Hobby plan and affordable premium tiers for advanced features.
Behind the Verdict
Scoopika excels at reducing the boilerplate needed to build multimodal AI agents in JavaScript/TypeScript. The free Hobby plan gives you unlimited agent runs with your own LLM provider, making it easy to prototype. The managed memory and knowledge stores on Pro and Scale plans simplify persistent conversations and RAG without self-hosting a vector database. Voice response under 300ms is impressive, though the free plan only offers slow audio processing (around 10s latency). The $25/month Pro plan is reasonably priced for teams needing memory and knowledge stores, while the $70/month Scale plan offers higher limits and faster voice. Compared to LangChain, Scoopika is more opinionated and easier to get started with, but less flexible for complex chains. The main downside is dependence on the vendor's managed services for memory and knowledge—if you self-host, you lose those features. Also, the free plan's audio processing limitation (50 speech characters/month) makes it unsuitable for voice-heavy apps without upgrading.
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Real-world workflow fit
Concrete scenarios for the personas Scoopika actually fits — and what changes day-one when you adopt it.
Solo developer prototyping a multimodal chatbot
Sign up for the free Hobby plan, connect your OpenAI API key, create an agent with text and image input, and add a custom function to fetch weather from an API. Within an hour, you have a working prototype streaming responses.
Outcome: A functional AI chatbot that handles text and image queries with real-time streaming and error recovery, running on your own infrastructure.
Startup team building a voice-enabled customer support agent
Subscribe to the Pro plan ($25/mo), upload product documentation to a knowledge store, enable voice responses, and integrate with your CRM via a custom API tool. Deploy the agent as a NextJS API route.
Outcome: A voice-enabled support bot that knows your product docs, remembers user sessions, and processes audio inputs fast (under 500 mins fast audio/month).
Use Cases
- Build a customer support chatbot that accesses your product documentation and user data
- Create a voice-enabled personal assistant that manages schedules and fetches real-time information
- Develop a content generation tool that validates output against a schema
- Integrate an AI agent into your app that can search the web and call external APIs
- Construct a multimodal agent that processes images, audio, and text inputs to answer queries
Limitations
- The free Hobby plan has slower audio processing and no long-term memory or knowledge stores.
- Pro and Scale plans increase rate limits and storage but cost $25-$70/month.
- Voice response generation speed may vary by plan; Scale offers faster processing.
as of 2026-07-05
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Scoopika tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Hobby
$0/mo
Ideal for
Solo developer prototyping AI agents with no budget, okay with slow audio and no persistent memory.
What this tier adds
Free entry point with unlimited agent runs but no persistent memory, knowledge stores, or fast audio processing.
Pro
$25/mo
Ideal for
Small team needing managed memory and knowledge stores for production apps with moderate usage (up to 1M reads and 500K writes per month).
What this tier adds
Adds serverless managed long-term memory (1 region), knowledge stores from files/websites, real-time voice responses, and 500 mins fast audio/month.
Scale
$70/mo
Ideal for
Bigger team with higher usage demands (4M reads, 2M writes, 1.5M knowledge requests per month) and faster voice response generation.
What this tier adds
Higher limits on memory (4 regions replicated), knowledge requests, voice characters, faster voice responses, and direct support.
Custom Feature Build
$750 (one-time)
Ideal for
Business wanting a custom AI feature built in a week with hands-on support from Scoopika team, including UI/UX.
What this tier adds
One-time fee for building any AI feature with Scoopika, includes 3 months of Scale plan and both server-side and client-side development.
Integrations
Google Search
Where the pricing makes sense
The company stage and team size where Scoopika's pricing actually pencils out — and where peers do it cheaper.
Scoopika's free Hobby plan is ideal for solo devs prototyping—it's cheaper than LangChain (which requires you to manage infrastructure). The $25 Pro plan is competitive for small teams needing managed memory and knowledge, though LangChain's cloud tiers can cost more for similar features. Scale at $70/mo suits bigger teams, but enterprises may prefer a solution with on-premise options.
Setup time & first value
How long it actually takes to get something useful out of Scoopika — broken out by persona, not the marketing-page minute.
For a solo developer familiar with JS/TS, you can have a basic text agent running in under 30 minutes by installing @scoopika/scoopika, connecting an LLM provider, and running an agent. Adding voice, memory, or knowledge stores may take 1-2 hours to configure. Teams with existing React/NextJS projects can integrate the React SDK in an afternoon.
Switching to or from Scoopika
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From LangChain: Rewrite agent logic using Scoopika's simpler Agent class; replace custom memory with Scoopika's managed memory; migrate vector store to Scoopika's knowledge stores.
Migrating out
- ↗To LangChain: Export conversation history from Scoopika's memory store via API; rebuild knowledge store in a vector DB; reimplement custom functions and error handling.
Resources & Guides
Frequently Asked Questions
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Common stack mates teams adopt alongside Scoopika, with the specific reason each pairing earns its keep.
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