Business Software for Gemini CLI

Pink Agentic AI Payments offers a payment management solution specifically designed for businesses creating software agents that require controlled spending limits. It provides payment functionalities via an MCP server and REST API, enabling administrators to establish monthly budgets for each agent and set daily spending caps for the entire company. Additionally, they can create rules that dictate spending amounts, request approval from designated individuals, block payments, and manage payee activity by restricting it to pre-approved recipients or excluding certain categories. Each payment request is scrutinized according to the established controls, leading to decisions on whether to approve, seek further authorization, or deny the transaction. A public sandbox feature allows users to experiment with test funds without any registration, showcasing the workflow without the risk of actual payment processing. This service is tailored for organizations engaged in the development and assessment of agent-driven payment processes, ensuring that sandbox usage does not imply real payment transactions. Users can fully explore the capabilities of the service while adhering to their budgetary guidelines.

Tubemind serves as an online platform designed for YouTube creators and marketers, enabling them to conduct thorough research. It allows users to uncover channels, pinpoint videos that exceed normal view counts, and evaluate niches with recommendations to Enter, Wait, or Avoid. Additionally, users can analyze thumbnails and keywords backed by video-performance analytics, track channel growth, and estimate potential revenue while comparing similar channels. The platform is enhanced by built-in AI that aids in crafting compelling titles and hooks, and its Chrome extension presents outlier multipliers, revenue projections, and related channels directly on YouTube. Furthermore, Tubemind provides access to 50 free tools and automation processes to issue alerts for outliers via n8n, Zapier, or Make. An MCP connector enables users to tap into the research index through compatible AI assistants and development tools. The free tier offers essential research capabilities along with a daily AI usage limit, whereas the Starter and Pro tiers introduce additional features such as increased thresholds, tracking capabilities, alerts, data exports, and advanced comparison tools, making it a versatile asset for content creators. Users can leverage these features to enhance their video marketing strategies effectively.

Gemini 3, the latest model from Google DeepMind, establishes a new standard for artificial intelligence by achieving cutting-edge reasoning capabilities and multimodal comprehension across various formats including text, images, and videos. It significantly outperforms its earlier version in critical AI assessments and showcases its strengths in intricate areas like scientific reasoning, advanced programming, spatial reasoning, and visual or video interpretation. The introduction of the innovative “Deep Think” mode takes performance to an even higher level, demonstrating superior reasoning abilities for exceptionally difficult tasks and surpassing the Gemini 3 Pro in evaluations such as Humanity’s Last Exam and ARC-AGI. Now accessible within Google’s ecosystem, Gemini 3 empowers users to engage in learning, developmental projects, and strategic planning with unprecedented sophistication. With context windows extending up to one million tokens and improved media-processing capabilities, along with tailored configurations for various tools, the model enhances precision, depth, and adaptability for practical applications, paving the way for more effective workflows across diverse industries. This advancement signals a transformative shift in how AI can be leveraged for real-world challenges.

Code Wiki serves as an advanced, automated platform for documentation that creates and sustains a comprehensive wiki tailored for any code repository, continuously updating to reflect code modifications. It meticulously analyzes the entire codebase, regenerating documentation with each commit to ensure that the documentation remains aligned with code changes; additionally, it features an integrated chat interface powered by the Gemini model, allowing developers to inquire about specific aspects of the code and obtain responses that are directly linked to the actual repository. Users benefit from hyperlinked documentation that connects high-level overviews to particular code segments, facilitating effortless navigation. Furthermore, Code Wiki generates architectural diagrams, class hierarchies, and sequence workflows, all of which offer visual insights into the intricate relationships present within the code, enhancing comprehension and collaboration among developers. This innovative platform not only streamlines documentation but also significantly improves the overall development process.

Gemini 3.1 Pro represents the next evolution of Google’s Gemini model family, delivering enhanced reasoning and core intelligence for demanding tasks. Designed for situations where nuanced thinking is required, it significantly improves performance across logic-heavy and unfamiliar problem domains. Its verified 77.1% score on ARC-AGI-2 highlights its ability to solve entirely new reasoning patterns, marking a major leap over Gemini 3 Pro. Beyond benchmarks, the model translates advanced reasoning into practical use cases such as visual explanations, structured data synthesis, and creative generation. One standout capability includes generating lightweight, scalable animated SVG graphics directly from text prompts, suitable for production-ready web use. Gemini 3.1 Pro is available in preview for developers through the Gemini API, Google AI Studio, Gemini CLI, Antigravity, and Android Studio. Enterprises can access it through Gemini Enterprise Agent Platform and Gemini Enterprise environments. Consumers benefit through the Gemini app and NotebookLM, with higher usage limits for Google AI Pro and Ultra subscribers. The release aims to validate improvements while expanding into more ambitious agentic workflows before general availability. Gemini 3.1 Pro positions itself as a smarter, more capable foundation for complex, real-world problem solving across industries.

Gemini 3.1 Flash-Lite represents Google’s newest addition to the Gemini 3 family, built specifically for speed and affordability at scale. Engineered for developers managing high-frequency workloads, the model balances performance and cost efficiency without sacrificing quality. It is competitively priced at $0.25 per million input tokens and $1.50 per million output tokens, making it accessible for large production deployments. Compared to Gemini 2.5 Flash, it delivers substantially faster responses, including a 2.5x improvement in time to first token and a 45% boost in output speed. Benchmark evaluations show strong results, with an Elo score of 1432 and leading scores in reasoning and multimodal understanding tests. The model rivals or surpasses similarly tiered competitors while even outperforming some previous-generation Gemini models. A key feature is its adjustable reasoning control, enabling developers to fine-tune how much computational “thinking” is applied to each request. This flexibility makes it ideal for both lightweight tasks like translation and more complex use cases such as dashboard generation or simulation design. Early enterprise adopters have praised its ability to follow instructions accurately while handling complex inputs efficiently. Gemini 3.1 Flash-Lite is currently rolling out in preview within Google AI Studio and Vertex AI for enterprise customers.

XHawk is an innovative platform for AI-driven development, aimed at consolidating disparate code, documentation, and team insights into a cohesive and searchable contextual framework. This platform meticulously records each coding session, commit, and decision, systematically organizing them into a dynamic knowledge graph that adapts as the code evolves. By transforming code modifications and development processes into well-structured, indexed documentation, it ensures that knowledge remains in sync with each pull request, effectively bridging the divide between code and documentation. Furthermore, XHawk features a shared context layer that empowers both human developers and AI coding agents to plan, write, review, test, and manage systems with a unified understanding, thereby mitigating hallucinations that arise from missing context. One of its standout functionalities is session intelligence, where every git commit updates session history and agent reasoning, establishing a durable, searchable archive of the software development process. This comprehensive approach not only enhances collaboration but also significantly improves the efficiency and accuracy of software development practices.

Lanes is a desktop application that prioritizes local-first functionality, enabling developers to effectively manage and engage with AI coding agents in a secure setting, ensuring that all operations remain confined to the user's machine. This approach is founded on the belief that critical development information, including source code, terminal interactions, prompts, AI outputs, and project settings, must not be transmitted outside the local environment, thus safeguarding user privacy and providing complete control. Lanes seamlessly integrates with various third-party AI coding agents and command-line interface tools, such as Codex, Claude Code, or Gemini CLI, while avoiding any intermediary role, allowing all interactions to occur directly between the user's device and those services. Such a framework empowers developers to leverage advanced AI capabilities without compromising on data security or ownership rights. Additionally, Lanes features straightforward account management through easy authentication processes and gathers only a minimal amount of anonymous telemetry information, like feature usage, session lengths, and crash reports, to enhance overall performance. Ultimately, this gives developers the tools they need while ensuring that their sensitive data remains protected and private.

Agensi serves as a specialized marketplace for AI agent skills that have been rigorously curated. Each skill undergoes thorough security scanning, is compatible with over 20 agents—including Claude Code, Codex CLI, Cursor, Gemini CLI, and Copilot—and is developed by a responsible creator. Skills are available for one-time purchase only, allowing buyers to retain ownership indefinitely without the hassle of subscriptions or license keys. Utilizing the open SKILL.md standard, a single purchase ensures functionality across all compatible agents. Every submission is subjected to an extensive 8-point automated security check, addressing concerns like prompt injection, data exfiltration, hazardous commands, secret detection, and obfuscated code. Creators benefit from receiving 80% of the proceeds from each sale, with quick payouts via Stripe, while downloads are fingerprinted for the protection of the buyer's IP. In addition, Agensi provides a MCP subscription option priced at $9 per month or $90 annually, granting AI agents live access to the entire skill catalog. This subscription allows agents to connect seamlessly to Agensi through MCP, enabling them to search for and load the appropriate skills in real-time during conversations. With this service, no downloads or file management are required, and new skills become available instantly upon their release. This model not only streamlines the user experience but also fosters continuous innovation in AI capabilities.

Light Studio serves as a desktop application designed for photographers and creators, enabling them to manage and edit their image collections effectively. The software can directly open Lightroom Classic catalogs or convert them into its proprietary Light catalogs, and it seamlessly integrates Lightroom presets and XMP sidecars. Users have the ability to browse their images by date, folder, or album, conduct photo searches, organize faces, manage keywords, and edit metadata, as well as batch-rename files with ease. The editing capabilities are extensive, including adjustments for exposure, color, curves, grading, detail, optics, and cropping, along with features for HDR and panorama merges. Additionally, users can utilize local masks, denoise, super resolution, and tools for removing, healing, and cloning to refine their images further. It also accommodates compatible video files, allowing them to be stored alongside photos. For advanced retouching, users can send images to Photon Studio and subsequently retrieve them back into the library. The system ensures that libraries, edits, face groups, search indexes, and local AI processing remain on the user's computer, and Light Studio is anticipated to be available for macOS, Windows, and Linux platforms in the near future. This software aims to provide a comprehensive solution for photographers seeking an efficient way to manage their creative workflow.

SEOclar is a cloud-based software solution that integrates AI assistants and development tools with search engine optimization data via a Model Context Protocol (MCP) server. Users can engage with the platform using natural language to obtain a variety of keyword research insights, such as search volume, intent, related terms, and localized Google search results tailored to specific locations and devices. Additionally, it offers features like backlink profiles, link intersections, site audits, local search capabilities, and insights into AI visibility. This tool is tailored for SEO freelancers, agencies, in-house marketing teams, content strategists, business owners, and developers interested in harnessing SEO data from compatible AI clients. Unlike traditional SEO analysis platforms, its dashboard emphasizes setup, usage tracking, and billing processes. Common workflows include analyzing keyword coverage across multiple websites, assessing rankings and backlinks, and investigating local or AI-driven search visibility trends, thereby streamlining the SEO process for various user types.

Ovrin serves as a cloud-based computing platform tailored for developers who are creating AI agents and other software that necessitates execution within regulated environments. Users can leverage a REST API, alongside Python and TypeScript SDKs, or an MCP server to establish temporary Linux sandboxes, execute shell commands and stateful code, handle file management, configure scoped API keys, and access execution results. The platform features preconfigured setups such as Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness, while browser workflows are compatible with Chrome and Playwright. Additionally, it provides functionalities like persistent memory, controls for sandbox lifecycles, usage tracking, and limits on concurrency. Common applications of Ovrin include executing coding agents, automating browser tasks, and running code generated by models. Notably, Ovrin offers a free tier alongside several paid options that provide increased concurrency and usage-based compute costs. Overall, the platform aims to streamline the development process for AI solutions by providing a robust and flexible environment.