Wan2.2 Video generation
Wan2.2 is a cutting-edge open-source video generation model developed with a Mixture of Experts (MoE) architecture, enabling advanced AI-driven cinematic control. It specializes in transforming text and images into high-quality 720P videos, making video creation accessible and customizable for developers and creators alike. By leveraging innovative diffusion models, Wan2.2 offers precise control over each shot, allowing users to generate visually compelling videos with fine-grained direction. The platform is designed for seamless integration and experimentation, providing a powerful toolset for AI video creation that supports diverse applications ranging from marketing content to creative storytelling. Wan2.2’s open-source nature encourages community collaboration and continuous improvement, positioning it as a pioneering solution in the AI video generation space. Users can download the model on GitHub and harness its capabilities to produce cinematic videos efficiently and creatively.
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Puck
Puck is an open-source visual editor designed specifically for React applications. It empowers developers to seamlessly integrate powerful visual editing capabilities into their own React projects, enabling the creation of intuitive and dynamic content editing experiences. By leveraging Puck, teams can build next-generation content tools that simplify the process of managing and customizing UI components without sacrificing developer control or flexibility. The editor supports a highly customizable and extensible architecture, making it ideal for a wide range of use cases, from content management systems to complex web applications. Puck’s open-source nature encourages community collaboration and continuous improvement, ensuring it evolves alongside the React ecosystem. Its focus on developer experience and user-friendly interfaces helps bridge the gap between design and development, accelerating workflows and enhancing productivity. Overall, Puck serves as a robust foundation for building sophisticated visual editing solutions that integrate deeply with React’s component model.
Postgresus (PostgreSQL backups)
Postgresus is a free and open source tool designed to simplify and automate PostgreSQL database backups and monitoring. It supports scheduled backups for PostgreSQL versions 13 through 17, allowing users to configure hourly, daily, weekly, or monthly backup cycles with precise timing options. The tool enables storage of backups across multiple destinations including local disks, S3-compatible buckets, Google Drive, and Dropbox, providing flexibility and redundancy. Postgresus also offers real-time notifications via Slack, Discord, Telegram, and other platforms to keep teams informed about backup status and potential issues. Its self-hosted Docker-based deployment ensures easy installation and management, making it ideal for DevOps teams and database administrators seeking a reliable, maintainable, and scalable backup solution. Additional features include backup compression and encryption to optimize storage and security, as well as database health monitoring to proactively detect problems. Overall, Postgresus streamlines PostgreSQL backup workflows with a user-friendly frontend, robust scheduling, and comprehensive alerting, reducing reliance on manual scripts and minimizing risk of data loss.
Agentic Signal
Agentic Signal is a cutting-edge platform designed to empower users to build AI workflows visually with an emphasis on privacy and local execution. It enables developers, data scientists, and AI enthusiasts to create complex, extensible automation pipelines without relying on cloud services, ensuring that all data and processes remain fully local and secure. The platform supports a modular node ecosystem, allowing users to integrate various AI models, data sources, and custom logic into seamless workflows. By providing a visual interface for workflow construction, Agentic Signal lowers the barrier to entry for AI automation, making it accessible to a broader audience. Its architecture supports extensibility and customization, enabling users to tailor AI-driven solutions to their specific needs. With a focus on privacy, local intelligence, and ease of use, Agentic Signal is ideal for organizations and individuals seeking to harness AI capabilities while maintaining full control over their data and infrastructure.
Kelma
Kelma is an open-source, drop-in comment section provider designed for every website. It offers an ad-free and privacy-respecting platform that ensures minimal telemetry collection and never sells user data. Kelma is built for speed, delivering an incredibly snappy user experience where comments load instantly and interactions feel smooth. The solution is fully transparent and auditable, allowing users to choose between hosted or self-hosted deployments. Kelma supports effortless setup with easy customization, offering 35 themes to seamlessly integrate with any website design. It also supports multiple languages, making it accessible globally. Pricing is fair and usage-based, with no tiers, plans, hidden fees, or monthly subscriptions, allowing users to pay only for what they use. Overall, Kelma provides a modern, privacy-conscious, and highly customizable comment system that enhances user engagement without compromising performance or user data privacy.
Custom Dashboards in OpenLIT
Custom Dashboards in OpenLIT provide a powerful, customizable, and self-hosted observability solution specifically designed for GenAI and large language model (LLM) applications. Built on the OpenTelemetry framework, OpenLIT enables developers and organizations to unify traces and metrics into a single, intuitive interface, simplifying the monitoring and performance analysis of complex AI-driven systems. These dashboards allow users to tailor the visualization and data presentation to their unique needs, offering deep insights into application behavior, performance bottlenecks, and operational health. By leveraging OpenLIT's open-source platform, teams gain full control over their observability infrastructure without vendor lock-in, enhancing transparency and security. The developer-friendly interface supports seamless integration with existing workflows and provides real-time monitoring capabilities that help accelerate debugging, optimize resource usage, and improve overall application reliability. OpenLIT’s custom dashboards empower users to transform how they track and understand their AI applications, making observability accessible, flexible, and efficient.
A2A Registry
A2A Registry is a community-driven directory that hosts live, production-ready AI agents compliant with the A2A (Agent-to-Agent) Protocol. It enables developers and organizations to easily discover, explore, and integrate AI agents that communicate seamlessly using a standardized protocol. The registry provides detailed information about each agent, including capabilities and integration examples, facilitating smooth adoption and interoperability. With Python SDK support, developers can connect to these agents programmatically, accelerating AI integration workflows. The platform promotes transparency and collaboration by listing verified agents and offering open access to the registry and client tools. A2A Registry serves as a vital resource for anyone looking to leverage AI agents in real-world applications, fostering an ecosystem where AI agents can interact, cooperate, and deliver enhanced automation and intelligence across diverse domains.