Business Software for TypeScript

Supavec is an innovative open-source Retrieval-Augmented Generation (RAG) platform that empowers developers to create robust AI applications capable of seamlessly connecting with any data source, no matter the size. Serving as a viable alternative to Carbon.ai, Supavec grants users complete control over their AI infrastructure, offering the flexibility to choose between a cloud-based solution or self-hosting on personal systems. Utilizing advanced technologies such as Supabase, Next.js, and TypeScript, Supavec is designed for scalability and can efficiently manage millions of documents while supporting concurrent processing and horizontal scaling. The platform prioritizes enterprise-level privacy by implementing Supabase Row Level Security (RLS), which guarantees that your data is kept secure and private with precise access controls. Developers are provided with a straightforward API, extensive documentation, and seamless integration options, making it easy to set up and deploy AI applications quickly. Furthermore, Supavec's focus on user experience ensures that developers can innovate rapidly, enhancing their projects with cutting-edge AI capabilities.

Devlo is an innovative AI-driven assistant that aims to expedite the software development lifecycle by automating essential tasks such as bug resolution, feature implementation, code improvements, and testing processes. This platform is designed to work effortlessly with GitHub repositories, allowing developers to manage tickets, assess pull requests, and create unit tests with great efficiency. With its advanced AI features, devlo can comprehend and validate code modifications, automate subsequent tasks, and deliver expert-grade code evaluations in less than a minute. By taking care of repetitive development chores, devlo enables teams to concentrate on creative solutions and accelerate product launches, while maintaining high standards of code quality and security. It is compatible with all leading programming languages and prioritizes enterprise-level security and confidentiality, making it a reliable choice for development teams. This ensures that organizations can innovate without compromise while leveraging AI technology to enhance their workflow.

Devika is an innovative open-source AI software engineer that interprets high-level commands, dissects them into actionable steps, gathers pertinent information, and writes code to achieve specified goals. By leveraging advanced language models, reasoning techniques, and browsing functionalities, Devika effectively aids in software development, handling intricate coding challenges with little human oversight. The platform is compatible with various programming languages and boasts essential features such as sophisticated AI planning, contextual keyword identification, and real-time agent monitoring. With the intention of becoming a formidable competitor to proprietary AI solutions, Devika presents a bold, open-source alternative for developers seeking versatile support in their projects. Ultimately, it seeks to empower programmers by streamlining the coding process and enhancing productivity.

E2B is an open-source runtime that provides a secure environment for executing AI-generated code within isolated cloud sandboxes. This platform allows developers to enhance their AI applications and agents with code interpretation features, enabling the safe execution of dynamic code snippets in a regulated setting. Supporting a variety of programming languages like Python and JavaScript, E2B offers software development kits (SDKs) for easy integration into existing projects. It employs Firecracker microVMs to guarantee strong security and isolation during code execution. Developers have the flexibility to implement E2B on their own infrastructure or take advantage of the available cloud service. The platform is crafted to be agnostic to large language models, ensuring compatibility with numerous options, including OpenAI, Llama, Anthropic, and Mistral. Among its key features are quick sandbox initialization, customizable execution environments, and the capability to manage long-running sessions lasting up to 24 hours. With E2B, developers can confidently run AI-generated code while maintaining high standards of security and efficiency.

Composio's AI SDR-Kit is an innovative platform that empowers businesses and developers to create sales agents driven by artificial intelligence, streamlining automation in sales workflows. This comprehensive solution efficiently manages tasks such as lead generation, outreach, CRM administration, and pipeline enhancement. Users can automate various processes including prospecting, personalized email outreach, market analysis, and scheduling meetings, significantly improving productivity. With the capability to integrate seamlessly with over 60 widely-used CRM and sales applications like Salesforce, HubSpot, and Gmail, it optimizes sales operations effectively. Additionally, the platform offers automated data enrichment alongside managed authentication, which guarantees secure and reliable email deliverability. The AI-driven agents can also perform market data analysis, enhance CRM information, and boost overall sales effectiveness. Supporting a wide range of sales functions, from automated lead discovery to extensive sales automation, Composio's solution is adaptable and suitable for businesses of all sizes, fostering growth and efficiency in sales processes. Moreover, it stands out for its user-friendly interface, making it accessible even for those new to sales automation tools.

Bordful is a versatile open-source job board platform that empowers users to effortlessly build and launch their own job boards. Utilizing contemporary technologies like Next.js, TypeScript, and Tailwind CSS, it guarantees a design that is both scalable and responsive. The software includes features for customizable job listings, categories, and robust search options, making it perfect for niche job boards that focus on specific industries, locations, or roles. Furthermore, Bordful is optimized for SEO and offers seamless integration with external tools such as Airtable for effective job data management. This software is completely open-source and free to use, whether for personal or commercial purposes, allowing users to tailor it to fit their specific requirements. Ideal for makers, founders, and developers, Bordful caters to those looking to create specialized job boards for different markets or sectors, including platforms dedicated to remote work or particular industries. Additionally, it boasts a variety of integrations and customizable features, enhancing its utility for users seeking unique solutions. Ultimately, Bordful stands out as a comprehensive tool for anyone aiming to establish a professional online job board with ease.

Potpie is a collaborative open source platform designed for developers to craft AI agents specifically suited for their codebases, streamlining processes such as debugging, testing, system architecture, onboarding, code evaluations, and documentation. By converting your codebase into an extensive knowledge graph, Potpie equips its agents with a profound contextual understanding that enables them to execute engineering tasks with remarkable accuracy. The platform includes more than five pre-built agents, with some focusing on stack trace analysis and the generation of integration tests. Additionally, developers have the option to create personalized agents through straightforward prompts, ensuring easy incorporation into their established workflows. Potpie also features an intuitive chat interface and offers a VS Code extension for direct integration into development setups. With capabilities like multi-LLM support, developers can incorporate various AI models to enhance performance and adaptability, making Potpie an invaluable tool for modern software engineering. This versatility allows teams to optimize their overall productivity while benefiting from advanced automation techniques.

Fynix serves as an AI-driven platform aimed at enhancing software development efficiency by providing smart coding assistance and agent-based code reviews. This tool seamlessly integrates with widely used IDEs such as VS Code, offering features like context-aware autocomplete, natural language inputs for code corrections and translations, along with automatic visualizations of code flow. The Code Assistant feature of Fynix enables developers to produce cleaner and more efficient code at an accelerated pace, and the forthcoming Code Quality Agent promises to streamline bug detection while upholding coding standards. Supporting a variety of programming languages and frameworks, and compatible with tools like Jira, Fynix proves to be a flexible solution for fostering improved coding practices and team collaboration. As developers strive for excellence in their coding endeavors, Fynix stands out as an essential ally in the software development landscape.

Mistral AI has introduced the Mistral Large 2, a sophisticated AI model crafted to excel in various domains such as code generation, multilingual understanding, and intricate reasoning tasks. With an impressive 128k context window, this model accommodates a wide array of languages, including English, French, Spanish, and Arabic, while also supporting an extensive list of over 80 programming languages. Designed for high-throughput single-node inference, Mistral Large 2 is perfectly suited for applications requiring large context handling. Its superior performance on benchmarks like MMLU, coupled with improved capabilities in code generation and reasoning, guarantees both accuracy and efficiency in results. Additionally, the model features enhanced function calling and retrieval mechanisms, which are particularly beneficial for complex business applications. This makes Mistral Large 2 not only versatile but also a powerful tool for developers and businesses looking to leverage advanced AI capabilities.

Interlify serves as a platform that facilitates the quick integration of your APIs with Large Language Models (LLMs) within minutes, removing the need for intricate coding or managing infrastructure. This platform empowers you to effortlessly connect your data to robust LLMs, thereby unlocking the extensive capabilities of generative AI. By utilizing Interlify, you can seamlessly integrate your existing APIs without requiring additional development work, as its smart AI efficiently generates LLM tools, allowing you to prioritize feature development over coding challenges. The platform features versatile API management, which enables you to easily add or remove APIs for LLM access with just a few clicks in its management console, adapting your setup to align with the changing demands of your project without any inconvenience. Furthermore, Interlify enhances the client setup process, making it possible to integrate into your project with merely a few lines of code in either Python or TypeScript, which ultimately conserves your valuable time and resources. This streamlined approach not only simplifies integration but also encourages innovation by allowing developers to focus on creating unique functionalities.

Mistral Small 3.1 represents a cutting-edge, multimodal, and multilingual AI model that has been released under the Apache 2.0 license. This upgraded version builds on Mistral Small 3, featuring enhanced text capabilities and superior multimodal comprehension, while also accommodating an extended context window of up to 128,000 tokens. It demonstrates superior performance compared to similar models such as Gemma 3 and GPT-4o Mini, achieving impressive inference speeds of 150 tokens per second. Tailored for adaptability, Mistral Small 3.1 shines in a variety of applications, including instruction following, conversational support, image analysis, and function execution, making it ideal for both business and consumer AI needs. The model's streamlined architecture enables it to operate efficiently on hardware such as a single RTX 4090 or a Mac equipped with 32GB of RAM, thus supporting on-device implementations. Users can download it from Hugging Face and access it through Mistral AI's developer playground, while it is also integrated into platforms like Google Cloud Vertex AI, with additional accessibility on NVIDIA NIM and more. This flexibility ensures that developers can leverage its capabilities across diverse environments and applications.

JSON Crack is a versatile open-source application that converts intricate data formats like JSON, YAML, CSV, XML, and TOML into engaging and easy-to-understand graphs, thereby facilitating better data analysis and understanding. Users have the flexibility to enter data directly, upload files, or provide links, with the platform seamlessly creating a visual tree graph based on the input. Additionally, it offers capabilities for transforming data between various formats, such as converting JSON to CSV or XML to JSON, while also incorporating functions for JSON formatting, validation, and automatic code generation for TypeScript interfaces, Golang structs, and JSON Schemas. Furthermore, it features sophisticated tools for decoding JWTs, executing JQ queries, and running JSON Path commands. Users can conveniently export their visualizations in formats like PNG, JPEG, or SVG, and importantly, all data processing takes place locally on the user's device to maintain privacy. This comprehensive tool not only enhances usability but also empowers users to handle their data in a secure and efficient manner, making it an invaluable resource for developers and data analysts alike.

Kottster is a self-hosted, open-source admin panel built on Node.js that allows developers to quickly create tailored interfaces for managing their database records. It easily connects to various databases, enabling users to generate admin pages in just a few minutes. The platform features capabilities for data viewing, including pagination, sorting, filtering, and search options, alongside comprehensive data management tools to add, edit, and remove records. Additionally, it automatically identifies table relationships such as one-to-one, one-to-many, and many-to-many associations. Constructed on a contemporary tech stack that includes Node.js, React, Remix, Vite, Tailwind, and TypeScript, Kottster ensures a seamless development process. Developers also have the ability to modify and extend the generated JavaScript and TypeScript code according to their specific project requirements. Moreover, it incorporates built-in authentication and user management features, allowing for role assignments and access control to facilitate effective team collaboration. Overall, Kottster stands out as a powerful tool for developers seeking to streamline database management.

Mastra is an open-source TypeScript framework that allows developers to build AI agents capable of performing tasks, managing knowledge, and retaining memory across interactions. With a clean and intuitive API, Mastra simplifies the creation of complex agent workflows, enabling real-time task execution and seamless integration with machine learning models like GPT-4. The framework supports task orchestration, agent memory, and knowledge management, making it ideal for applications in automation, personalized services, and complex systems.

Llama 4 Behemoth, with 288 billion active parameters, is Meta's flagship AI model, setting new standards for multimodal performance. Outpacing its predecessors like GPT-4.5 and Claude Sonnet 3.7, it leads the field in STEM benchmarks, offering cutting-edge results in tasks such as problem-solving and reasoning. Designed as the teacher model for the Llama 4 series, Behemoth drives significant improvements in model quality and efficiency through distillation. Although still in development, Llama 4 Behemoth is shaping the future of AI with its unparalleled intelligence, particularly in math, image, and multilingual tasks.

Llama 4 Maverick is a cutting-edge multimodal AI model with 17 billion active parameters and 128 experts, setting a new standard for efficiency and performance. It excels in diverse domains, outperforming other models such as GPT-4o and Gemini 2.0 Flash in coding, reasoning, and image-related tasks. Llama 4 Maverick integrates both text and image processing seamlessly, offering enhanced capabilities for complex tasks such as visual question answering, content generation, and problem-solving. The model’s performance-to-cost ratio makes it an ideal choice for businesses looking to integrate powerful AI into their operations without the hefty resource demands.

Llama 4 Scout is an advanced multimodal AI model with 17 billion active parameters, offering industry-leading performance with a 10 million token context length. This enables it to handle complex tasks like multi-document summarization and detailed code reasoning with impressive accuracy. Scout surpasses previous Llama models in both text and image understanding, making it an excellent choice for applications that require a combination of language processing and image analysis. Its powerful capabilities in long-context tasks and image-grounding applications set it apart from other models in its class, providing superior results for a wide range of industries.

Windmill serves as an open-source platform for developers, functioning as a workflow engine that converts scripts into automatically generated user interfaces, APIs, and cron jobs. This innovative tool simplifies the creation of workflows and data pipelines, making it easier to construct complex applications that handle large volumes of data. Windmill supports multiple programming languages, allowing developers to write and deploy applications significantly faster, up to ten times quicker, while ensuring high reliability and observability through its self-hosted job orchestrator. Among its features are auto-generated user interfaces tailored to script parameters, a low-code application editor for crafting custom UIs, and a flow editor that utilizes a drag-and-drop approach to workflow design. Additionally, Windmill automatically manages dependencies, incorporates strong permission controls, and offers comprehensive monitoring capabilities. Users can trigger workflows using various methods, such as webhooks, scheduled tasks, CLI commands, Slack messages, or emails. Furthermore, developers have the flexibility to write their scripts in their preferred local code editors, allowing them to preview and seamlessly deploy their work using the command line interface, streamlining the overall development process. This robust platform ultimately empowers users to create sophisticated applications with minimal effort.

Liona empowers organizations to securely distribute AI provider keys, including those from OpenAI, Anthropic, Grok, and Gemini, to users and employees while ensuring robust security measures are in place. It facilitates direct user access to AI providers while allowing organizations to retain oversight over security protocols, billing processes, and usage caps. Liona presents two deployment models: one tailored for developers, offering robust API integrations that eliminate backend complexities and simplify the development of AI-enhanced features; and another aimed at employees and teams, which provides enterprise-level AI governance with unified control and transparency. The platform features a comprehensive dashboard for monitoring real-time usage, implementing detailed access controls, setting spending limits, and managing users effectively. Moreover, Liona seamlessly integrates with a variety of tools and frameworks, enhancing the integration of AI workflows. This versatility makes Liona an essential asset for organizations looking to leverage AI technologies securely and efficiently.

GPT-4.1 represents a significant upgrade in generative AI, with notable advancements in coding, instruction adherence, and handling long contexts. This model supports up to 1 million tokens of context, allowing it to tackle complex, multi-step tasks across various domains. GPT-4.1 outperforms earlier models in key benchmarks, particularly in coding accuracy, and is designed to streamline workflows for developers and businesses by improving task completion speed and reliability.

The latest update to Grok Studio introduces exciting new features, including code execution and Google Drive integration. Users can now generate and collaborate on documents, code, reports, and browser games within a dedicated window, making it easy to work alongside Grok in real-time. With the code execution feature, Grok users can run and preview code in languages like Python, JavaScript, C++, Typescript, and Bash, providing instant feedback and results. The Google Drive integration allows users to seamlessly attach and interact with files from their Drive, such as documents, spreadsheets, and presentations, making Grok an even more powerful tool for content creation and collaboration.

NocoBase is an open-source, self-hosted no-code development platform that prioritizes extensibility, aimed at helping developers and technical teams quickly create and tailor intricate business systems. Its data model-driven architecture effectively separates the user interface from the underlying data structure, facilitating the generation of various blocks and actions for every table and record in limitless forms. Supporting primary databases, external databases, and third-party APIs as data sources, NocoBase provides a versatile foundation. The platform includes a WYSIWYG interface that allows users to effortlessly toggle between usage and configuration modes, enabling the design of interfaces akin to Notion. Additionally, all features are delivered as plugins through a microkernel architecture, which promotes significant customization across pages, blocks, actions, APIs, and data sources. Written in TypeScript and built on popular technology stacks like Node.js and React, NocoBase ensures both transparency and control in development, making it a powerful tool for technical innovation. This combination of features positions NocoBase as an essential resource for teams striving to enhance their business processes efficiently.

WatermelonDB is a cutting-edge reactive database framework tailored for the development of robust React and React Native applications that can efficiently scale from a few hundred to tens of thousands of records while maintaining high speed. It guarantees immediate app launches, regardless of the amount of data, incorporates lazy loading to fetch data only when necessary, and features offline-first capabilities along with synchronization with your own backend systems. This framework is designed to be multiplatform. Specifically optimized for React, it facilitates uncomplicated data integration into components and is framework-agnostic, allowing developers to use its JavaScript API in conjunction with various other UI frameworks. Built on a solid SQLite infrastructure, WatermelonDB offers static typing through Flow or TypeScript, while also providing optional reactivity via an RxJS API. It effectively tackles performance challenges in complex applications by deferring data loading until explicitly requested and executing all queries directly on SQLite in a dedicated native thread, which ensures that the majority of queries are resolved almost instantly. Additionally, this innovative framework supports seamless data management, making it a versatile choice for developers aiming to enhance the performance and responsiveness of their applications.

Expo is a versatile open-source platform that allows developers to craft universal native applications using React. It encompasses an extensive suite of tools and services aimed at simplifying the processes of development, review, and deployment. With Expo, developers can either start fresh with new projects or incorporate existing React Native applications, taking advantage of features such as file-based routing and TypeScript support to create stack and modal screens with minimal setup. Its fast refresh functionality enables real-time updates on devices through the Expo Go app, enhancing the development experience. Additionally, developers have the option to utilize any library, SDK, or write custom native code, providing unrestricted access to device APIs. Furthermore, Expo promotes collaboration among team members by allowing role-based access, generating QR codes for feature previews, and integrating seamlessly with GitHub to facilitate efficient pull request reviews. This combination of features not only accelerates the development workflow but also enhances communication and productivity within teams.

Tiptap serves as an innovative, open-source rich-text editor framework aimed at developers who are creating contemporary, collaborative applications. It is built on ProseMirror and boasts a modular structure with more than 100 extensions, allowing for the development of customized editors that cater to diverse user requirements. With the integration of its open-source backend, Hocuspocus, Tiptap enables real-time collaboration, permitting multiple users to edit documents at the same time and offering features such as live cursors and offline editing capabilities. Additionally, Tiptap incorporates AI functionalities, including the content AI extension, which offers in-line text transformations and AI-generated suggestions to improve the content creation process. Developers can also enhance the editor’s capabilities with features such as commenting systems, document management, and the ability to import and export various formats like DOCX. The framework includes UI components and React templates that streamline the rapid development of editors that mimic the interfaces of popular applications like Notion or Google Docs, making it a versatile choice for developers. Ultimately, Tiptap stands out as a powerful tool that supports a wide range of applications, ensuring that developers can meet the evolving needs of their users efficiently.