ModelScope Agent provides a modular, Python‐based framework to orchestrate autonomous AI agents. It features plugin integration for external tools (APIs, databases, search), conversation memory for context preservation, and customizable agent chains to handle complex tasks such as knowledge retrieval, document processing, and decision support. Developers can configure agent roles, behaviors, and prompts, as well as leverage multiple LLM backends to optimize performance and reliability in production.

NewCult is a SaaS boilerplate engineered for design engineers. Built with robust technologies like Next.js, Supabase, Tailwind CSS, and ShadCN, it empowers users to develop sophisticated applications with ease. The platform's pre-designed components and customization options enable rapid development and seamless integrations, making it ideal for projects requiring quick deployment and high functionality.

Dev-Agent is an open-source AI agent framework that empowers developers to rapidly build and deploy autonomous agents. It combines a modular plugin architecture with easy-to-configure tool invocation, including HTTP endpoints, database queries, and custom scripts. Agents can leverage a persistent memory layer to reference past interactions, and orchestrate multi-step reasoning flows for complex tasks. With built-in support for OpenAI GPT models, users define agent behavior via simple JSON or YAML specs. The CLI tool manages authentication, session state, and logging. Whether creating customer support bots, data retrieval assistants, or automated CI/CD helpers, Dev-Agent reduces development overhead and enables seamless extension through community-driven plugins, offering flexibility and scalability for diverse AI-driven applications.

DevWrits is an innovative software development platform that combines AI technology with a subscription model to accelerate the creation of websites, blogs, APIs, and databases. By leveraging its subscription service, users can access unlimited development capabilities, ensuring high-quality delivery within just three days. This approach not only simplifies the development process but also provides businesses with a cost-effective solution to manage their software needs efficiently.

Dynamic Multi-Agent RAG Pathway provides a modular architecture where each agent handles specific tasks—such as document retrieval, vector search, context summarization, or generation—while a central orchestrator dynamically routes inputs and outputs between them. Developers can define custom agents, assemble pipelines via simple configuration files, and leverage built-in logging, monitoring, and plugin support. This framework accelerates development of complex RAG-based solutions, enabling adaptive task decomposition and parallel processing to improve throughput and accuracy.

Farspeak is an innovative API designed for developers to build Retrieval-Augmented Generation (RAG) applications effectively. It allows seamless integration with vector databases and utilizes large language models (LLMs) to facilitate natural language queries and data management. Users can create, update, and manage datasets easily, thereby transforming their data into actionable insights and applications. The platform emphasizes ease of use and rapid development, making it suitable for both new and experienced developers aiming to harness the power of AI in their projects.

Flatlogic provides over 25,000 companies worldwide with high-quality web and mobile templates that expedite the development of business software. These templates are built with modern frameworks such as Vue, Angular, React, and React Native, providing versatile, efficient, and scalable solutions for various business needs. Whether it’s admin dashboards, data visualization tools, or custom backend solutions, Flatlogic’s templates are meticulously designed to meet a wide array of requirements and significantly reduce the development time.

Frontender is designed to assist developers in converting their Figma designs seamlessly into front-end code. By integrating directly with the Figma platform, it enables users to select any design layer and generate code snippets in CSS or Tailwind. This tool aims to significantly reduce the time spent on manual coding and ensures that the resulting code is clean and responsive. It's a powerful asset for any front-end developer, providing tools to customize and refine the generated code as per project requirements.

Inngest is a powerful AI platform designed for developers to construct web applications through serverless functions. It offers a no-code interface, enabling seamless integration of various APIs and services. With Inngest, users can automate workflows and manage event-driven mechanics efficiently, minimizing the need for extensive coding and maximizing productivity. This platform streamlines backend processes while ensuring that applications remain scalable and easy to maintain.

Lamatic is a Platform-as-a-Service (PaaS) designed to simplify the creation of AI agents with powerful functionalities by combining a low-code visual builder with integrated vector stores and seamless connections to various apps, data sources, and leading AI models. The platform enables rapid development, testing, and deployment of high-performance AI agents, ensuring reliability and performance optimization through automated workflows, real-time tracing, and actionable reports. With Lamatic, teams have the tools to iterate faster and deploy solutions seamlessly, enhancing user experience and efficiency.

Langroid provides a comprehensive agent framework that empowers developers to build sophisticated AI-driven applications with minimal overhead. It features a modular design allowing custom agent personas, stateful memory for context retention, and seamless integration with large language models (LLMs) such as OpenAI, Hugging Face, and private endpoints. Langroid’s toolkits enable agents to execute code, fetch data from databases, call external APIs, and process multimodal inputs like text, images, and audio. Its orchestration engine manages asynchronous workflows and tool invocations, while the plugin system facilitates extending agent capabilities. By abstracting complex LLM interactions and memory management, Langroid accelerates the development of chatbots, virtual assistants, and task automation solutions for diverse industry needs.

ShipGPT is a front-end and back-end ready-made AI repository, providing a comprehensive boilerplate for various AI use cases. It includes templates and tools needed to build applications like ChatBase, ChatPDF, and Jenni AI. By offering a structured and simplified approach, ShipGPT aims to accelerate the development process, making it easier for developers and businesses to integrate AI capabilities into their products.

Bitte AI Agents is an end-to-end agent development framework designed to simplify the creation of autonomous AI assistants. It allows you to define agent roles, configure memory stores, integrate external APIs or custom tools, and orchestrate multi-step workflows. Developers can use the platform SDK to build, test, and deploy agents on any environment. The framework handles context management, conversation histories, and security controls out of the box, enabling rapid iteration and scalable deployment of intelligent agents across use cases such as customer service automation, data insights, and content generation.

MARFT is a Python-based LLMs, enabling reproducible experiments and rapid prototyping of collaborative AI systems.

This framework provides a server-based architecture supporting Multiple-MCP (Multi-Channel Processing) servers to handle concurrent conversations, maintain context across sessions, and integrate external services via plugins. Developers can configure connectors for messaging platforms, define custom function calls, and scale instances using Docker or native hosts. It includes logging, error handling, and a modular pipeline to extend capabilities without altering core code.

NeXent is a flexible AI agent framework that lets you define custom digital workers via YAML or Python SDK. You can integrate multiple LLMs, external APIs, and toolchains into modular pipelines. Built-in memory modules enable stateful interactions, while a monitoring dashboard provides real-time insights. NeXent supports local and cloud deployment, Docker containers, and scales horizontally for enterprise workloads. The open-source design encourages extensibility and community-driven plugins.

OmniMind0 is a comprehensive agent-based AI framework written in Python that allows creation and orchestration of multiple autonomous agents. Each agent can be configured to handle specific tasks—such as data retrieval, summarization, or decision-making—while sharing state through pluggable memory backends like Redis or JSON files. The built-in plugin architecture lets you extend functionality with external APIs or custom commands. It supports OpenAI, Azure, and Hugging Face models, and offers deployment via CLI, REST API server, or Docker for flexible integration into your workflows.

OutSystems AI Agent is a powerful tool designed for developers, enabling them to automate various stages of the application development lifecycle. It leverages machine learning and artificial intelligence to assist in predictive analytics, code recommendations, and error detection, significantly reducing development time and improving application quality. With its natural language processing capabilities, developers can interact with the agent to gain insights and streamline workflows, making it an essential tool for modern application development.

RagHost simplifies the development of AI-powered internal tools using Retrieval-Augmented Generation (RAG) technology. Users can embed documents or text and ask questions with a single API. In just a few minutes, RagHost allows you to build efficient, internal search tools or customer-facing applications, drastically reducing the time and effort involved in developing complex AI tools.

Strands Agents provides a full-stack environment for creating intelligent assistants. Users can define conversation flows, manage knowledge bases, configure memory settings, and integrate with webhooks or external APIs. The platform offers analytics to measure performance, team collaboration tools for version control, and seamless deployment across web chat, mobile, or embedded widgets. No coding skills are required—customize behaviors via a visual editor and scale agents to handle high volumes of queries.