LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Bugasura
A lot of QA tooling optimizes for running more tests. Bugasura optimizes for running the right ones. It's a Customer-Focused Agentic QA platform, so before anything gets tested, it pulls in the requirement it's tied to, the customer context behind it, and the history of what's broken there before, instead of treating every test case as a blank slate.
Day to day, that looks like: requirements written or AI-generated and kept linked to the test cases that cover them, test cases tagged and organized rather than buried in folders, functional and API cycles run and tracked in one place, and bugs tied directly back to the exact test and requirement they came from. Reports update live as testers work, so status is never a end-of-sprint scramble.
Testpert sits underneath all of this as the intelligence layer. It cross-references product context, customer behavior, and defect history to surface requirement gaps and risk before a sprint even starts, rather than after a release goes wrong. Alongside Testpert, Bugasura is building out the World of Asuras, individually named AI agents for jobs like browser testing, API validation, and catching duplicate bugs, now open in early access. Developers get quality context inside their own tools too, through an MCP server that surfaces requirements and defect history right inside Claude and Cursor.
On the connectivity side, Bugasura plugs into Jira, GitHub, Slack, Linear, Asana, Confluence, and Zendesk out of the box. The core platform, test management, AI-assisted issue tracking, requirements, and 25+ integrations included, costs nothing and stays free for unlimited users. Paid pricing only enters the picture for on-premises hosting, Testpert, and large-scale Asura automation.
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Nucleus RTOS
Nucleus® RTOS empowers system developers to meet the intricate demands of modern embedded designs. By combining a robust kernel with essential tooling features, Nucleus is perfectly suited for applications that prioritize scalability, connectivity, security, power efficiency, and reliable deterministic performance. This real-time operating system is not only proven and dependable but also fully optimized for various applications. It has demonstrated success in demanding sectors that require stringent safety and security standards, including industrial systems, medical devices, airborne systems, and automotive applications. Nucleus features a stable deterministic kernel designed to occupy minimal memory, complemented by a lightweight process model that enhances memory partitioning. Additionally, it supports dynamic loading and unloading of processes, allowing for increased modularity in applications, thus providing developers with the flexibility needed for diverse project requirements. This adaptability ensures that Nucleus RTOS can effectively cater to the evolving landscape of embedded technology.
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