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LM-Kit.NETLM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease. Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process. With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.
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Google AI StudioGoogle AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.
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Proton PassProton Pass for Business is an enterprise-ready password and access management solution built for organizations that demand both strong security and ease of use. It uses end-to-end encryption and a zero-knowledge framework to protect passwords, passkeys, secure notes, credit card details, and identity data, ensuring only authorized team members can access sensitive information. The platform enables teams to organize and share credentials securely through encrypted vaults, improving collaboration without increasing risk. Administrators gain full visibility and control with role-based permissions, centralized user management, audit logs, and policy enforcement tools that support compliance requirements and internal security standards. Automated onboarding and offboarding workflows help businesses maintain tight access control as teams evolve. Proton Pass for Business enhances everyday productivity with built-in password generation, one-click autofill, and seamless synchronization across browsers and devices. Integrated email aliasing helps protect employee identities and reduce exposure to phishing, while dark web monitoring alerts organizations when credentials are compromised. Developed with an open-source approach and backed by independent security audits, Proton Pass delivers transparency alongside robust protection. Data is hosted in Switzerland, where strict privacy regulations provide an added layer of legal security for businesses handling sensitive information. With its combination of advanced encryption, an intuitive user experience, and powerful administrative features, Proton Pass for Business helps organizations strengthen access security, reduce the risk of breaches, and simplify credential management at scale without compromising privacy or performance.
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FinOpslyAsk a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
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DataHubDataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.
What is MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro is a cutting-edge open-source AI model built to handle complex reasoning, coding, and long-horizon tasks with high efficiency. It features a Mixture-of-Experts architecture with over one trillion total parameters and a large active parameter set for optimized performance. The model supports an extended context window of up to one million tokens, enabling it to process large amounts of information in a single workflow. It is designed for advanced agentic capabilities, allowing it to autonomously complete multi-step tasks over extended periods. MiMo-V2.5-Pro has demonstrated strong results in benchmarks related to software engineering, reasoning, and general AI performance. It is capable of building complete applications, optimizing engineering systems, and solving complex technical challenges. The model uses hybrid attention mechanisms to balance performance and efficiency across long contexts. It is also optimized for token efficiency, reducing resource usage while maintaining high-quality outputs. The model can integrate with development tools and frameworks to support real-world use cases. Xiaomi has open-sourced MiMo-V2.5-Pro, providing developers with access to its architecture, weights, and deployment tools. This allows organizations to customize and scale the model for their specific needs. Its ability to handle long workflows makes it suitable for tasks that require sustained reasoning and coordination. By combining scalability, efficiency, and advanced intelligence, MiMo-V2.5-Pro represents a significant advancement in open-source AI technology.
What is Kimi K3?
Kimi K3 is Moonshot AI’s most advanced model, designed for high-end reasoning, software engineering, multimodal understanding, knowledge work, and agentic AI applications. The model has 2.8 trillion parameters and is built on Kimi Delta Attention, a hybrid linear attention mechanism created for long-context performance. It also uses Attention Residuals and supports a native context window of up to 1 million tokens. This makes Kimi K3 suitable for tasks involving large codebases, long research materials, enterprise documentation, multi-file analysis, legal documents, technical manuals, and complex workflows. Kimi K3 always has thinking mode enabled, with reasoning effort configured through the reasoning_effort field and maximum effort currently supported as the default. Developers can use the model through an OpenAI-compatible API, making it easier to integrate with existing SDKs, clients, and application infrastructure. The model supports streaming responses with separate reasoning and final-answer deltas, allowing applications to display reasoning progress and final content differently. Kimi K3 also supports strict structured output with JSON Schema, partial mode for continuing from a prefix, custom tool calling, required tool use, and dynamic tool loading through system messages. Its vision capabilities support image and video inputs through base64 or uploaded files, enabling analysis of visual content alongside text. Automatic context caching helps workflows that reuse long prefixes, such as large knowledge bases or persistent system context, without requiring developers to manage cache IDs manually. By combining frontier-scale parameters, long-context processing, visual input, structured outputs, tool orchestration, and developer-friendly API compatibility, Kimi K3 gives teams a strong foundation for advanced AI agents, coding assistants, research systems, enterprise automation, and multimodal applications.
Integrations Supported
Cline
Hermes Agent
OpenClaw
OpenCode
Shiori
Vercel AI Gateway
Integrations Supported
Cline
Hermes Agent
OpenClaw
OpenCode
Shiori
Vercel AI Gateway
Augment Code
Bash
CSS
Claw Code
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
$3 per 1M tokens (input)
Kimi K3 is priced per 1 million tokens:
Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens
Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.
Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens
Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
Xiaomi Technology
Date Founded
2010
Company Location
China
Company Website
mimo.xiaomi.com/mimo-v2-5-pro/
Company Facts
Organization Name
Moonshot AI
Date Founded
2023
Company Location
China
Company Website
kimi.ai
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
AI Reasoning Models
Not specified
Foundation Models
Not specified
Large Language Models
Not specified
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
AI Reasoning Models
Not specified
Foundation Models
Not specified
Large Language Models
Not specified
Open-Weight AI Models
Not specified