Alternatives to AI SDK
Compare AI SDK alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to AI SDK in 2026. Compare features, ratings, user reviews, pricing, and more from AI SDK competitors and alternatives in order to make an informed decision for your business.
-
1
Google AI Studio
Google
Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models, including Gemini 3. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows. -
2
Vercel
Vercel
Vercel is an AI-powered cloud platform that helps developers build, deploy, and scale high-performance web experiences with speed and security. It provides a unified set of tools, templates, and infrastructure designed to streamline development workflows from idea to global deployment. With support for modern frameworks like Next.js, Svelte, Vite, and Nuxt, teams can ship fast, responsive applications without managing complex backend operations. Vercel’s AI Cloud includes an AI Gateway, SDKs, workflow automation tools, and fluid compute, enabling developers to integrate large language models and advanced AI features effortlessly. The platform emphasizes instant global distribution, enabling deployments to become available worldwide immediately after a git push. Backed by strong security and performance optimizations, Vercel helps companies deliver personalized, reliable digital experiences at massive scale. -
3
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
4
Better Auth
Better Auth
Better Auth is a framework-agnostic authentication and authorization framework for TypeScript designed to help developers implement secure login systems directly within their own applications and databases. It provides a full set of authentication features out of the box, including email and password login, session management, email verification, password reset, and support for over 40 social login providers such as Google, GitHub, etc., all configurable with minimal code. It is built to work with a wide range of modern frameworks like Next.js, Nuxt, SvelteKit, Astro, and Express, allowing teams to integrate authentication regardless of their tech stack while maintaining strong TypeScript support and type safety. Better Auth includes advanced capabilities such as multi-factor authentication, multi-tenant organization management, and enterprise features like SSO, SAML, and SCIM provisioning, making it suitable for both simple apps and large-scale systems.Starting Price: Free -
5
ToolSDK.ai
ToolSDK.ai
ToolSDK.ai is a free TypeScript SDK and marketplace that accelerates building agentic AI applications by providing instant access to over 5,300+ MCP (Model Context Protocol) servers and composable tools with one line of code, enabling developers to wire up real-world workflows combining language models with external systems. The platform exposes a unified client for loading packaged MCP servers (e.g., search, email, CRM, task management, storage, analytics) and converting them into OpenAI-compatible tools, handling authentication, invocation, and result orchestration so assistants can call, compare, and act on live data from services like Gmail, Salesforce, Google Drive, ClickUp, Notion, Slack, GitHub, analytics platforms, and custom web search or automation endpoints. It includes example quick-start integrations, supports metadata and conditional logic in multi-step orchestrations, and makes scaling to parallel agents and complex pipelines straightforward.Starting Price: Free -
6
Base AI
Base AI
The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command. Developers use Base AI to develop high-quality AI agents with memory (RAG) using TypeScript and then deploy serverless as a highly scalable API using Langbase (creators of Base AI). Base AI is web-first with TypeScript support and a familiar RESTful API. Integrate AI into your web stack as easily as adding a React component or API route, whether you're using Next.js, Vue, or vanilla Node.js. With most AI use cases on the web, Base AI helps you ship AI features faster. Develop AI features on your machine with zero cloud costs. Git integrates out of the box, so you can branch and merge AI models like code. Complete observability logs let you debug AI-like JavaScript, and trace decisions, data points, and outputs. It's like Chrome DevTools for your AI.Starting Price: Free -
7
Sieve
Sieve
Build better AI with multiple models. AI models are a new kind of building block. Sieve is the easiest way to use these building blocks to understand audio, generate video, and much more at scale. State-of-the-art models in just a few lines of code, and a curated set of production-ready apps for many use cases. Import your favorite models like Python packages. Visualize results with auto-generated interfaces built for your entire team. Deploy custom code with ease. Define your environment compute in code, and deploy with a single command. Fast, scalable infrastructure without the hassle. We built Sieve to automatically scale as your traffic increases with zero extra configuration. Package models with a simple Python decorator and deploy them instantly. A full-featured observability stack so you have full visibility of what’s happening under the hood. Pay only for what you use, by the second. Gain full control over your costs.Starting Price: $20 per month -
8
Supavec
Supavec
Supavec is an open source Retrieval-Augmented Generation (RAG) platform designed to help developers build powerful AI applications that integrate seamlessly with any data source, regardless of scale. As an alternative to Carbon.ai, Supavec offers full control over your AI infrastructure, allowing you to choose between a cloud version or self-hosting on your own systems. Built with technologies like Supabase, Next.js, and TypeScript, Supavec ensures scalability, enabling the handling of millions of documents with support for concurrent processing and horizontal scaling. The platform emphasizes enterprise-grade privacy by utilizing Supabase Row Level Security (RLS), ensuring that your data remains private and secure with granular access control. Developers benefit from a simple API, comprehensive documentation, and easy integration, facilitating quick setup and deployment of AI applications.Starting Price: Free -
9
TanStack
TanStack
TanStack is an open source, framework-agnostic collection of high-quality, headless, and type-safe utilities designed for modern web development, offering powerful capabilities in state management, data fetching, routing, UI logic, tables, data grids, charts, and reactive client-side storage. Its ecosystem includes core libraries such as TanStack Query for asynchronous server-state fetching and caching, TanStack Router for full-stack and client-side routing with full TypeScript inference and URL state support, and TanStack Table for headless, customizable tables and data grids across TS/JS frameworks. Additional tools, such as TanStack DB, extend the reactive store with live queries and optimistic mutations, while frameworks like TanStack Start provide a full-stack React experience, including SSR, streaming, server functions, and bundling, powered by its own router and Vite. Collectively, TanStack tools emphasize developer control, performance, scalability, and type safety.Starting Price: Free -
10
Odyssey
Odyssey ML
Odyssey is a frontier interactive video model that enables instant, real-time generation of video you can interact with. Just type a prompt, and the system begins streaming minutes of video that respond to your input. It shifts video from a static playback format to a dynamic, action-aware stream: the model is causal and autoregressive, generating each frame based solely on prior frames and your actions rather than a fixed timeline, enabling continuous adaptation of camera angles, scenery, characters, and events. The platform begins streaming video almost instantly, producing new frames every ~50 milliseconds (about 20 fps), so you don’t wait minutes for a clip, you engage in an evolving experience. Under the hood, the model is trained via a novel multi-stage pipeline to transition from fixed-clip generation to open-ended interactive video, allowing you to type or speak commands and explore an AI-imagined world that reacts in real time. -
11
Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
12
Microsoft Foundry Models
Microsoft
Microsoft Foundry Models is a unified model catalog that gives enterprises access to more than 11,000 AI models from Microsoft, OpenAI, Anthropic, Mistral AI, Meta, Cohere, DeepSeek, xAI, and others. It allows teams to explore, test, and deploy models quickly using a task-centric discovery experience and integrated playground. Organizations can fine-tune models with ready-to-use pipelines and evaluate performance using their own datasets for more accurate benchmarking. Foundry Models provides secure, scalable deployment options with serverless and managed compute choices tailored to enterprise needs. With built-in governance, compliance, and Azure’s global security framework, businesses can safely operationalize AI across mission-critical workflows. The platform accelerates innovation by enabling developers to build, iterate, and scale AI solutions from one centralized environment. -
13
21st
21st.dev
21st is a developer platform that provides the fastest way to add AI agents directly into applications. The platform offers an SDK that allows developers to define, deploy, and run AI agents with minimal infrastructure setup. Developers can integrate agents using popular frameworks such as Next.js, React, TypeScript, Python, and Node.js. 21st includes built-in features like chat interfaces, session history, tool execution, memory, and real-time streaming responses. The platform also manages backend components such as sandboxed execution environments, authentication, rate limits, and observability. With support for Claude Code and Codex runtimes, developers can build agents that interact with tools, files, and APIs securely. By handling infrastructure and deployment automatically, 21st enables teams to launch production-ready AI agents quickly.Starting Price: Free -
14
Klevgrand LUXE
Kleverb
LUXE is an effect plugin that compresses and saturates an audio signal in a quite subtle but musical way. It is very useful for making a track "fit in the mix", and can be used with very good results on a drum bus, a vocal track or anything in between. LUXE is very easy to use – simply choose between the LUXE or FINESSE algorithms, and set the desired processing level. Don't be fooled by the modest control possibilities - under the hood is a very sophisticated set of parameters that will treat your incoming audio with great care, musicality and warmth. The slider sets the amount of the effect. Under the hood this parameter controls a set of internal (non-visible) parameters which makes LUXE an easy tool to use for quick results. The alternate FINESSE algorithm offers a slightly different frequency response, and also adds some edge to the internal saturation module.Starting Price: $19.99 one-time payment -
15
Basalt
Basalt
Basalt is an AI-building platform that helps teams quickly create, test, and launch better AI features. With Basalt, you can prototype quickly using our no-code playground, allowing you to draft prompts with co-pilot guidance and structured sections. Iterate efficiently by saving and switching between versions and models, leveraging multi-model support and versioning. Improve your prompts with recommendations from our co-pilot. Evaluate and iterate by testing with realistic cases, upload your dataset, or let Basalt generate it for you. Run your prompt at scale on multiple test cases and build confidence with evaluators and expert evaluation sessions. Deploy seamlessly with the Basalt SDK, abstracting and deploying prompts in your codebase. Monitor by capturing logs and monitoring usage in production, and optimize by staying informed of new errors and edge cases.Starting Price: Free -
16
Oracle Generative AI Service
Oracle
Generative AI Service Cloud Infrastructure is a fully managed platform offering powerful large language models for tasks such as generation, summarization, analysis, chat, embedding, and reranking. You can access pretrained foundational models via an intuitive playground, API, or CLI, or fine-tune custom models on your own data using dedicated AI clusters isolated to your tenancy. The service includes content moderation, model controls, dedicated infrastructure, and flexible deployment endpoints. Use cases span industries and workflows; generating text for marketing or sales, building conversational agents, extracting structured data from documents, classification, semantic search, code generation, and much more. The architecture supports “text in, text out” workflows with rich formatting, and spans regions globally under Oracle’s governance- and data-sovereignty-ready cloud. -
17
OpenGraphr
OpenGraphr
We have prepared this API with the most advanced scraping techniques so that you can focus on your product while we handle the open graph data scraping. Our scraping engine uses Chromium under the hood, so it's also prepared to scrape JavaScript-based websites without hassle. We frequently improve our scraping algorithms so that you only worry about your business. Powered by Chromium under the hood, we support the extraction of OG tags of JS-powered websites (i.e. Angular, VueJS, React) Most websites will not be prepared for the Open Graph protocol, but we are smart enough to extract the information even in those cases. We work hard on making our scraper undetectable by using proxies and other evasion techniques. We are integrated with TailGraph and we can generate open graph images when the website does not comply with the OG protocol. We have a free-forever plan with 100 requests each month, no card required.Starting Price: €13.99 per month -
18
JetShip Next.js Starter Kit
ThemeSelection
JetShip Next.js Starter Kit is a modern, full-stack starter template designed to accelerate the development of Next.js web applications. It combines the power of Next.js 14 (App Router) with Tailwind CSS and TypeScript, offering a clean, scalable foundation that follows best practices for building high-performance web apps. Key Features: - Built with Next.js 14 (App Router) and TypeScript - Pre-configured authentication and authorization using NextAuth.js and Prisma - Fully responsive design with Tailwind CSS, dark mode, and RTL support - Modular, scalable architecture ideal for rapid development - Ready-to-use CRUD operations, dashboards, and sample pages - Flexible API routes and backend powered by Prisma ORM and PostgreSQL - Clean, developer-friendly code that follows modern best practices - Supports SEO, server-side rendering (SSR), and static site generation (SSG) out-of-the-boxStarting Price: 149 -
19
Cerbrec Graphbook
Cerbrec
Construct your model directly as a live, interactive graph. Preview data flowing through your visualized model architecture. View and edit your visualized model architecture down to the atomic level. Graphbook provides X-ray transparency with no black boxes. Graphbook live checks data type and shape with understandable error messages, making your model debugging quick and easy. Abstracting out software dependencies and environment configuration, Graphbook allows you to focus on model architecture and data flow with the handy computing resources needed. Cerbrec Graphbook is a visual IDE for AI modeling, transforming cumbersome model development into a user-friendly experience. With a growing community of machine learning engineers and data scientists, Graphbook helps developers work with their text and tabular data to fine-tune language models such as BERT and GPT. Everything is fully managed out of the box so you can preview your model exactly as it will behave. -
20
Kitten Stack
Kitten Stack
Kitten Stack is an all-in-one unified platform for building, optimizing, and deploying LLM applications. It eliminates common infrastructure challenges by providing robust tools and managed infrastructure, enabling developers to go from idea to production-grade AI applications faster and easier than ever before. Kitten Stack streamlines LLM application development by combining managed RAG infrastructure, unified model access, and comprehensive analytics into a single platform, allowing developers to focus on creating exceptional user experiences rather than wrestling with backend infrastructure. Core Capabilities: Instant RAG Engine: Securely connect private documents (PDF, DOCX, TXT) and live web data in minutes. Kitten Stack handles the complexity of data ingestion, parsing, chunking, embedding, and retrieval. Unified Model Gateway: Access 100+ AI models (OpenAI, Anthropic, Google, etc.) through a single platform.Starting Price: $50/month -
21
Modular
Modular
Modular is a unified AI inference platform designed to run models efficiently across diverse hardware environments. It enables developers to deploy and scale AI workloads on GPUs, CPUs, and ASICs using a single, integrated stack. The platform optimizes performance from low-level GPU kernels to high-level API endpoints. Modular supports both managed cloud deployments and self-hosted environments, offering flexibility for different use cases. It allows users to run open-source or custom models with high performance and cost efficiency. With features like hardware portability and dynamic scaling, it reduces vendor lock-in and infrastructure complexity. By combining performance optimization and deployment simplicity, Modular helps teams build and run AI applications at scale. -
22
C3 AI Suite
C3.ai
Build, deploy, and operate Enterprise AI applications. The C3 AI® Suite uses a unique model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise AI applications. The C3 AI model-driven architecture provides an “abstraction layer,” that allows developers to build enterprise AI applications by using conceptual models of all the elements an application requires, instead of writing lengthy code. This provides significant benefits: Use AI applications and models that optimize processes for every product, asset, customer, or transaction across all regions and businesses. Deploy AI applications and see results in 1-2 quarters – rapidly roll out additional applications and new capabilities. Unlock sustained value – hundreds of millions to billions of dollars per year – from reduced costs, increased revenue, and higher margins. Ensure systematic, enterprise-wide governance of AI with C3.ai’s unified platform that offers data lineage and governance. -
23
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
24
Next.js
Vercel
Next.js gives you the best developer experience with all the features you need for production: hybrid static & server rendering, TypeScript support, smart bundling, route pre-fetching, and more. The interactive course with quizzes will guide you through everything you need to know to use Next.js. Next.js has built-in support for internationalized (i18n) routing since v10.0.0. You can provide a list of locales, the default locale, and domain-specific locales and Next.js will automatically handle the routing.Starting Price: Free -
25
NexaSDK
NexaSDK
Nexa SDK is a unified developer toolkit that lets you run and ship any AI model locally on virtually any device with support for NPUs, GPUs, and CPUs, offering seamless deployment without needing cloud connectivity; it provides a fast command-line interface, Python bindings, mobile (Android and iOS) SDKs, and Linux support so you can integrate AI into apps, IoT devices, automotive systems, and desktops with minimal setup and one line of code to run models, while also exposing an OpenAI-compatible REST API and function calling for easy integration with existing clients. Powered by the company’s custom NexaML inference engine built from the kernel up for optimal performance on every hardware stack, the SDK supports multiple model formats including GGUF, MLX, and Nexa’s proprietary format, delivers full multimodal support for text, image, and audio tasks (including embeddings, reranking, speech recognition, and text-to-speech), and prioritizes Day-0 support for the latest architectures. -
26
Genstack
Genstack
Genstack is a universal AI SDK and unified API platform designed to simplify how developers access and manage AI models. It eliminates the need to juggle multiple providers by offering a single API interface through which users can apply any available model, configure how they respond, experiment with alternatives, and fine-tune behavior. The platform handles underlying infrastructure like load balancing and prompt management so developers can focus on building. With transparent, usage-based pricing, ranging from pay-per-call in a free tier to cost-effective per-request rates in the Pro tier, Genstack aims to make AI integration straightforward and predictable, enabling developers to switch models, adjust prompts, and deploy with confidence.Starting Price: $12 per month -
27
TensorBlock
TensorBlock
TensorBlock is an open source AI infrastructure platform designed to democratize access to large language models through two complementary components. It has a self-hosted, privacy-first API gateway that unifies connections to any LLM provider under a single, OpenAI-compatible endpoint, with encrypted key management, dynamic model routing, usage analytics, and cost-optimized orchestration. TensorBlock Studio delivers a lightweight, developer-friendly multi-LLM interaction workspace featuring a plugin-based UI, extensible prompt workflows, real-time conversation history, and integrated natural-language APIs for seamless prompt engineering and model comparison. Built on a modular, scalable architecture and guided by principles of openness, composability, and fairness, TensorBlock enables organizations to experiment, deploy, and manage AI agents with full control and minimal infrastructure overhead.Starting Price: Free -
28
AppViewX ADC+
AppViewX
Configuring and managing ADCs has always been a tedious, expensive affair. Complicated processes, the need for technical expertise, lack of centralized management, and long ticket queues have traditionally caused service delivery delays and the TCO (total cost of ownership) to go up. AppViewX ADC+ provides GUI-based, API-driven, out-of-the-box solutions that simplify and speed up ADC lifecycle automation. ADC+ pushes all the technical nitty-gritty of diverse infrastructures under the hood and provides standardized, highly abstracted solutions that can be self-serviced by business users as well. The application delivery services have evolved exponentially over a while, demanding LBaaS fulfillment to abstract the underlying infrastructure complexity by automating load-balancer (ADC instances) provisioning end-to-end, which traditional solutions cannot do independently. -
29
Chainlit
Chainlit
Chainlit is an open-source Python package designed to expedite the development of production-ready conversational AI applications. With Chainlit, developers can build and deploy chat-based interfaces in minutes, not weeks. The platform offers seamless integration with popular AI tools and frameworks, including OpenAI, LangChain, and LlamaIndex, allowing for versatile application development. Key features of Chainlit include multimodal capabilities, enabling the processing of images, PDFs, and other media types to enhance productivity. It also provides robust authentication options, supporting integration with providers like Okta, Azure AD, and Google. The Prompt Playground feature allows developers to iterate on prompts in context, adjusting templates, variables, and LLM settings for optimal results. For observability, Chainlit offers real-time visualization of prompts, completions, and usage metrics, ensuring efficient and trustworthy LLM operations. -
30
LemonadeJS
Jspreadsheet
Agnostic Micro Reactive JavaScript Library. LemonadeJS is a dependency-free lightweight library featuring an abstract reactive layer and two-way data binding. It enables the creation of modern platform-agnostic components using pure JavaScript, JSX, or TypeScript. -
31
MosaicML
MosaicML
Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved. -
32
LangWatch
LangWatch
Guardrails are crucial in AI maintenance, LangWatch safeguards you and your business from exposing sensitive data, prompt injection and keeps your AI from going off the rails, avoiding unforeseen damage to your brand. Understanding the behaviour of both AI and users can be challenging for businesses with integrated AI. Ensure accurate and appropriate responses by constantly maintaining quality through oversight. LangWatch’s safety checks and guardrails prevent common AI issues including jailbreaking, exposing sensitive data, and off-topic conversations. Track conversion rates, output quality, user feedback and knowledge base gaps with real-time metrics — gain constant insights for continuous improvement. Powerful data evaluation allows you to evaluate new models and prompts, develop datasets for testing and run experimental simulations on tailored builds.Starting Price: €99 per month -
33
Eney
MacPaw
Eney is an AI-powered companion developed by MacPaw for macOS, designed to simplify how you interact with your Mac by combining conversational input, task automation, and system-level integration. The assistant lives as a lightweight overlay on the side of your screen, and you can invoke it with a cursor movement or shortcut. By typing or speaking natural-language commands, you can ask Eney to perform tasks such as removing image backgrounds, summarizing meeting recordings, translating text, optimizing your machine’s performance, sending files or emails, switching VPNs, converting file formats, and more. It uses a hybrid architecture, simpler tasks are handled on-device for speed and privacy, while more complex workflows are routed to cloud-based services when needed. Eney is designed to learn from your habits and context, so it can anticipate workflows, maintain conversational memory, adapt to your preferences, and chain multiple steps under the hood.Starting Price: Free -
34
Langtail
Langtail
Langtail is a cloud-based application development tool designed to help companies debug, test, deploy, and monitor LLM-powered apps with ease. The platform offers a no-code playground for debugging prompts, fine-tuning model parameters, and running LLM tests to prevent issues when models or prompts change. Langtail specializes in LLM testing, including chatbot testing and ensuring robust AI LLM test prompts. With its comprehensive features, Langtail enables teams to: • Test LLM models thoroughly to catch potential issues before they affect production environments. • Deploy prompts as API endpoints for seamless integration. • Monitor model performance in production to ensure consistent outcomes. • Use advanced AI firewall capabilities to safeguard and control AI interactions. Langtail is the ideal solution for teams looking to ensure the quality, stability, and security of their LLM and AI-powered applications.Starting Price: $99/month/unlimited users -
35
Interlify
Interlify
Interlify is a platform that enables seamless integration of your APIs with Large Language Models (LLMs) in minutes, eliminating the need for complex coding or infrastructure management. It allows you to connect your data to powerful LLMs effortlessly, unlocking the full potential of generative AI. With Interlify, you can integrate existing APIs without additional development, thanks to its intelligent AI that generates LLM tools effortlessly, allowing you to focus on building features rather than dealing with coding complexities. It offers flexible API management, enabling you to add or remove APIs for LLM access with simple clicks through its management console, customizing your setup based on your project's evolving needs without hassle. Additionally, Interlify provides a lightning-fast client setup, allowing integration into your project with just a few lines of code in Python or TypeScript, saving valuable time and effort.Starting Price: $19 per month -
36
WatermelonDB
WatermelonDB
WatermelonDB is a reactive database framework designed to build powerful React and React Native apps that scale from hundreds to tens of thousands of records while remaining fast. It ensures instant app launch regardless of data volume, supports lazy loading to load data only when needed, and offers offline-first capabilities with synchronization to your own backend. It is multiplatform. Optimized for React, it allows easy integration of data into components and is framework-agnostic, enabling the use of its JavaScript API with other UI frameworks. Built on a robust SQLite foundation, WatermelonDB provides static typing with Flow or TypeScript and optional reactivity through an RxJS API. WatermelonDB addresses performance issues in complex applications by loading nothing until requested and performing all querying directly on SQLite on a separate native thread, ensuring most queries resolve instantly.Starting Price: Free -
37
Athina AI
Athina AI
Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.Starting Price: Free -
38
Xiaomi MiMo Studio
Xiaomi Technology
MiMo Studio is a web-based AI chat and development interface powered by Xiaomi’s MiMo models that lets users interact directly with advanced language models like MiMo-V2-Flash for real-time conversational AI, search-augmented responses, reasoning, and code generation. It acts like an interactive “AI playground” where users can chat with the model to get answers, ask for explanations, generate or debug code, and explore ideas interactively without installing software. It supports features such as web search integration and toggleable modes that switch between instant replies and deeper “thinking” responses for more complex tasks, helping developers and creators explore tasks from research to functional output. Because it’s browser-based, it provides easy online access to Xiaomi’s cutting-edge AI models, enabling experimentation with large-context reasoning, problem solving, and multi-turn interactions. -
39
Klu
Klu
Klu.ai is a Generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. Klu integrates with your preferred Large Language Models, incorporating data from varied sources, giving your applications unique context. Klu accelerates building applications using language models like Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, allowing rapid prompt/model experimentation, data gathering and user feedback, and model fine-tuning while cost-effectively optimizing performance. Ship prompt generations, chat experiences, workflows, and autonomous workers in minutes. Klu provides SDKs and an API-first approach for all capabilities to enable developer productivity. Klu automatically provides abstractions for common LLM/GenAI use cases, including: LLM connectors, vector storage and retrieval, prompt templates, observability, and evaluation/testing tooling.Starting Price: $97 -
40
Amarsia
Amarsia
Amarsia is an AI platform that lets teams build, deploy, and manage custom AI workflows and API integrations without needing specialist AI engineering skills, offering a visual workflow builder and prompt assistant to design, test, and automate AI-powered features such as data extraction, structured JSON output, conversational assistants, RAG (retrieval-augmented generation) systems, and more with minimal setup. It provides ready-to-use APIs for textual, image, audio, and video inputs and outputs, and supports multimodal content processing so users can send varied content types through deployed workflows programmatically; developers can interact with these workflows using a Standard API for full responses, a Streaming API for real-time outputs, and a Conversation API for context-aware chat experiences, with SDKs and documentation to accelerate integration into apps and services.Starting Price: $20 per month -
41
Agoston.io
Agoston.io
Get instant access to a self-generated GraphQL server. The backend automatically discovers your data model. Enjoy a comfortable development experience with a hot refresh on database changes. There is no limit to your needs for simple/complex queries or function calls. GraphQL is faster than other communication APIs because it removes over-fetching and under-fetching problems. It also comes with a WebSocket under the hood: subscribe to data-specific modifications in the database and offer exceptional real-time customer experience to your user. The proven permission system from Postgres offers the flexibility to allow operations from tables to specific columns and rows. Agoston relies on this robust permission system to guarantee access to data. Users only access what they are allowed to.Starting Price: $49 per month -
42
Metatext
Metatext
Build, evaluate, deploy, and refine custom natural language processing models. Empower your team to automate workflows without hiring an AI expert team and costly infra. Metatext simplifies the process of creating customized AI/NLP models, even without expertise in ML, data science, or MLOps. With just a few steps, automate complex workflows, and rely on intuitive UI and APIs to handle the heavy work. Enable AI into your team using a simple but intuitive UI, add your domain expertise, and let our APIs do all the heavy work. Get your custom AI trained and deployed automatically. Get the best from a set of deep learning algorithms. Test it using a Playground. Integrate our APIs with your existing systems, Google Spreadsheets, and other tools. Select the AI engine that best suits your use case. Each one offers a set of tools to assist creating datasets and fine-tuning models. Upload text data in various file formats and annotate labels using our built-in AI-assisted data labeling tool.Starting Price: $35 per month -
43
Layercode
Layercode
Layercode is a cloud-based developer platform that makes it easy to build production-ready, low-latency voice AI agents by handling the real-time infrastructure so you can focus on your agent’s logic; it manages WebSockets, voice activity detection, global edge deployment, and voice model integrations while giving you full control over how your agent thinks, speaks, and responds. It enables natural, fluid voice conversations with sub-second response times and human-like turn-taking, offers observability tools so you can inspect calls, latency, and failures in production, and fits naturally into modern TypeScript and Next.js stacks with simple CLI and SDK support so you can receive text and send text back. With Layercode, you can avoid vendor lock-in by hot-swapping leading voice and transcription model providers, maintain complete flexibility by plugging in your own AI agent backend, and deploy voice agents across web, mobile, and phone interfaces.Starting Price: $0.04 per minute -
44
VaultLeap
Klydo Inc.
VaultLeap gives businesses and freelancers instant access to virtual USD, EUR, and MXN accounts with stablecoin settlement under the hood. Send and receive cross-border payments at 60-80% less than traditional banks. Self-custodial wallets, compliance-first architecture. Built on Bridge (Stripe).Starting Price: $249/month -
45
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
-
46
UploadThing
UploadThing
UploadThing is an open source file upload solution designed for full-stack TypeScript applications. It simplifies the process of adding file uploads by allowing developers to define File Routes that specify the types of files allowed, their sizes, and quantities. It provides SDKs for various frameworks, including Next.js, Astro, SolidStart, SvelteKit, and Nuxt, as well as backend adapters for Express, Fastify, H3, and others. Client-side uploads are facilitated through components and hooks, enabling seamless integration with frontend frameworks like React and Vue. UploadThing emphasizes a balance between security and simplicity by handling authentication on the developer's server while managing the upload process on its own infrastructure. This approach allows for server-side authorization without the need to process files on the developer's server.Starting Price: $10 per month -
47
AIxBlock
AIxBlock
AIxBlock: The first unified and decentralized platform for end-to-end AI development and workflow automation - built natively on MCP. AIxBlock is a MCP-based, decentralized end-to-end AI development and workflow automation platform purpose-built for AI engineer teams. It empowers users to build, train, deploy AI models and build AI automation workflows using those models through a unified environment that integrates decentralized compute, models, datasets, and labeling resources - all at a fraction of the traditional cost. AIxBlock is the modular AI ecosystem - purpose-built for custom model creation, workflow automation, and open interoperability across MCP client tools like Cursor, Claude, WindSurf, etc.Starting Price: $19 per month -
48
oneAPI
Intel
Intel oneAPI is an open, unified programming model designed to simplify development across CPUs, GPUs, and other accelerators. It provides developers with a highly productive software stack for AI, HPC, and accelerated computing workloads. oneAPI supports scalable hybrid parallelism, enabling performance portability across different hardware architectures. The platform includes optimized libraries, SYCL-based C++ extensions, and powerful developer tools for profiling, debugging, and optimization. Developers can build, optimize, and deploy applications with confidence across data centers, edge systems, and PCs. oneAPI is built on open standards to avoid vendor lock-in while maximizing performance. It empowers developers to write code once and run it efficiently everywhere. -
49
PostgresML
PostgresML
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.Starting Price: $.60 per hour -
50
HyperFlow AI
HyperFlow AI
HyperFlow AI is a unified generative AI development platform that lets users design, build, test, scale, and deploy AI-powered applications and workflows with minimal coding by transforming domain expertise into powerful AI solutions via intuitive interfaces and visual tools; it supports prompt crafting for large language models and offers a no-code/low-code environment so teams can create custom AI apps and services quickly and iteratively. It emphasizes accessibility and democratizing AI creation, enabling users to develop advanced AI applications without traditional software engineering barriers while retaining control over their models and outputs. It provides a visual, drag-and-drop workflow design environment where users can configure and automate AI-driven processes, integrate data and external systems, and manage deployments from development through production.
