Codex CLI Integrations

GPT-6.1 Terra is a multimodal reasoning and computer-use model developed by OpenAI to support visual analysis, software engineering, writing, and automated professional workflows. The model processes text and image inputs and generates text outputs, enabling applications that require understanding visual information and executing actions in software interfaces. Its computer-use capabilities allow AI agents to interact with desktop applications, complete forms, interpret technical drawings, and perform multistep tasks across graphical environments. GPT-6.1 Terra provides a 1,050,000-token context window and supports outputs of up to 128,000 tokens for processing extensive documents and complex task instructions. Its reasoning effort can be configured across none, low, medium, high, xhigh, and max settings to balance computational effort, response speed, and task complexity. Software development capabilities include code generation, debugging, command-line problem-solving, and automated execution of technical workflows. The model supports function calling, structured outputs, web search, file search, code interpretation, computer use, and Model Context Protocol integrations through the OpenAI Responses API. Compared with GPT-5.6 Terra, the model provides improved visual reasoning, coding performance, factual accuracy, and computer-use capabilities while reducing standard API token prices by 50%. GPT-6.1 Terra is available in ChatGPT Work, Codex, and the OpenAI API, with standard pricing of $1 per million input tokens and $5 per million output tokens.

GPT-6.1 Sol is an upgraded OpenAI model that combines advanced intelligence with lower operating costs for coding, professional knowledge work, computer use, scientific research, and autonomous agents. OpenAI positions it as offering near-GPT-6 Astra intelligence at one-fifth of Astra's standard input and output token prices. The model delivers substantial improvements over GPT-6 Sol in software engineering, complex document understanding, business automation, and long-horizon computer-use workflows. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at approximately one-fifth of the cost and surpasses GPT-6 Sol's highest score by 6.4 percentage points at lower reasoning effort. On AutomationBench, it scores 4.8 percentage points higher than GPT-6 Sol at the same reasoning setting and 2.2 points above Opus 5.5 at medium reasoning effort. GPT-6.1 Sol also improves computer use, coming within 2.1 percentage points of GPT-6 Astra on the OSWorld 2.0 offline set at maximum reasoning effort while costing roughly one-seventh as much per task. For scientific workflows, the model more than doubles GPT-6 Sol's Terminal-Bench Science 0.1 score at maximum effort while reducing average task cost by more than half. Factuality has also improved, with the share of responses containing a factual error at low reasoning effort falling from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol on OpenAI's difficult error-focused evaluation. Developers can access GPT-6.1 Sol through the OpenAI API for $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens, while eligible users can access it through ChatGPT Work and Codex.

GPT-6 Astra is an advanced general-purpose AI model from OpenAI designed for demanding agentic, technical, scientific, and professional workflows. The model combines reasoning with computer-use capabilities that let it interact with applications, websites, development environments, productivity software, and specialized tools. It can perform activities such as online research, CRM updates, form completion, calendar organization, data analysis, software testing, troubleshooting, and frontend quality assurance. Astra is also trained for professional artifact creation, including documents, presentations, spreadsheets, analyses, websites, applications, and visual designs that follow provided templates and business conventions. Its software engineering capabilities support complex coding, codebase understanding, debugging, database migration, verification, and extended autonomous development tasks. OpenAI has also introduced a Codex context system for Astra that can maintain notes across context windows and search earlier conversation and tool history instead of relying exclusively on repeated summarization. Scientific capabilities span areas such as mathematics, biology, chemistry, health, data analysis, and the use of specialized research software. The model includes strengthened alignment and cybersecurity safeguards intended to help it remain within authorized task boundaries while supporting legitimate activities such as secure code review and vulnerability remediation. GPT-6 Astra is available across supported ChatGPT plans and developer platforms, including the OpenAI API and Amazon Web Services infrastructure.

GPT-5.6 Sol is OpenAI’s flagship model in the GPT-5.6 series, built for high-end reasoning, coding, scientific analysis, cybersecurity, and agentic automation. The model is designed to handle complex tasks that require planning, iteration, tool coordination, long-horizon reasoning, and careful execution across multiple steps. GPT-5.6 Sol introduces max reasoning effort, giving the model more time to reason deeply through difficult problems. It also introduces ultra mode, which uses subagents to accelerate complex work and extend capability beyond a single-agent workflow. For coding, GPT-5.6 Sol is positioned for command-line workflows, software engineering tasks, debugging, testing, and multi-step tool use. In biology and quantitative research workflows, the model is designed to support genomics analysis and other long-context scientific tasks while using tokens more efficiently than prior models. For cybersecurity, GPT-5.6 Sol supports legitimate defensive work such as vulnerability research, code review, patch development, security education, and defensive testing. The model includes a layered safeguard stack with trained refusals, real-time cyber and biology misuse classifiers, account-level monitoring, differentiated access, human-in-the-loop review, and ongoing red-team testing. GPT-5.6 Sol helps trusted users and organizations access more powerful AI for technical work while maintaining stronger controls around misuse, sensitive requests, and high-risk activity.

GPT-6 Luna is a lightweight, cost-efficient model in OpenAI’s GPT-6 family built for coding, professional tasks, computer use, and high-volume AI applications. The model incorporates advances from the same generation as GPT-6 Astra while emphasizing lower inference costs and greater efficiency for everyday workloads. API pricing is $0.10 per million input tokens and $0.50 per million output tokens, making Luna suitable for applications that process large volumes of requests. In professional work, GPT-6 Luna can execute multi-step workflows involving business applications, tools, and structured tasks across functions such as sales, marketing, operations, support, finance, and HR. For software engineering, the model can work on real codebases, perform extended development tasks, and operate within coding agents such as Codex. Its computer-use capabilities allow AI agents to interact with software interfaces and carry out longer workflows that require repeated actions and decisions. OpenAI also reports substantial factuality improvements over GPT-5.6 Luna, with higher reasoning settings enabling stronger performance on difficult factual questions. GPT-6 prompt caching provides higher cache-hit rates and discounted cached input, helping persistent agents and long conversations reuse context more efficiently. GPT-6 Luna is available through ChatGPT Work, Codex, the OpenAI API, and the ChatGPT desktop app for eligible users.

GPT-6 Sol is a frontier AI model from OpenAI built for professional knowledge work, software development, business automation, computer use, and agentic applications. It brings many of the advances introduced with GPT-6 Astra to a model optimized for greater cost efficiency and higher-volume use. GPT-6 Sol can apply configurable reasoning effort to complex tasks, giving developers and users control over how much computation is used for different workloads. Its coding capabilities support long-horizon software engineering, codebase modification, debugging, testing, and agent-driven development in tools such as Codex. For professional workflows, the model can work across applications and tools to complete multi-step tasks in areas such as sales, marketing, operations, finance, support, and HR. OpenAI also reports improved factuality compared with GPT-5.6 Sol, reducing errors on its internal evaluation of difficult real-world conversations. Computer-use capabilities allow Sol-powered agents to navigate software interfaces and perform extended workflows that require multiple actions and decisions. Enhanced prompt caching provides higher cache-hit rates and discounts on reused input context, making the model better suited to persistent agents and long conversations. GPT-6 Sol is available to developers through the OpenAI API as gpt-6-sol and is also offered in ChatGPT Work and Codex.

Muse Wonder is an advanced AI foundation model developed by Meta to support personal AI agents, professional knowledge work, and software engineering tasks. The model is part of the Muse Wonder series, which includes Muse Wonder and the larger Muse Wonder Full variant. Its Active Memory capability maintains important contextual information across conversations and retrieves relevant details when they become useful for subsequent tasks. Active Focus enables the model to pursue multistep objectives, evaluate alternative approaches, respond to obstacles, and continue working toward completion. Muse Wonder supports applications involving legal document analysis, financial information, health-related questions, and business workflow automation. Its coding capabilities include generating applications, modifying existing codebases, tracking project requirements, and iterating through testing and debugging cycles. The model can operate as part of agentic systems that interact with browsers, external applications, and connected tools to complete user-directed activities. Meta has evaluated Muse Wonder on benchmarks covering personal assistance, professional agent tasks, long-term memory, sustained execution, and software development. Muse Wonder is accessible through the Meta Model API and Muse Code, with plans to incorporate its capabilities into the Muse assistant and additional AI-powered experiences.

GPT-5.6 Terra is OpenAI’s balanced GPT-5.6 model for users who need strong performance across everyday work, development tasks, enterprise workflows, and technical analysis. The model is part of the GPT-5.6 family alongside Sol and Luna, with Terra positioned as the middle tier for capable, cost-efficient use. Terra is described as having competitive performance to GPT-5.5 while being 2x cheaper, making it useful for teams that want advanced capability without always using the flagship model. It supports coding workflows, agentic tasks, cybersecurity-related defensive work, biology workflows, knowledge work, and tool-assisted automation. In benchmark previews, Terra appears alongside Sol and Luna in evaluations for coding, biology, ExploitBench, and ExploitGym. The model benefits from the GPT-5.6 safeguard stack, which includes model-level refusals for prohibited cyber assistance, real-time cyber and biology misuse classifiers, and account-level risk review. These safeguards are designed to preserve access to legitimate work such as code review, debugging, vulnerability research, patch development, security education, and defensive testing. GPT-5.6 Terra is planned for availability through the API, Codex, and broader OpenAI products after the limited preview period. GPT-5.6 Terra helps teams get a balanced model for high-quality AI work when they need strong reasoning and automation at a lower cost than Sol.

GPT-5.6 Luna is OpenAI’s fast, cost-efficient model in the GPT-5.6 lineup. The GPT-5.6 family includes Sol for flagship performance, Terra for balanced everyday work, and Luna for strong capability at the lowest listed price. Luna is designed for users who need scalable AI support for routine tasks, coding assistance, workflow automation, analysis, and production API use cases where speed and cost matter. According to the pasted preview text, Luna is priced below both Sol and Terra, making it the most affordable GPT-5.6 option for high-volume workloads. The model is included in GPT-5.6 benchmark previews across Terminal-Bench 2.1, GeneBench v1, ExploitBench, and ExploitGym, showing that it is part of the same technical family used for coding, biology, and cybersecurity evaluations. Luna benefits from safeguards developed across the GPT-5.6 series, including model-level refusal training, real-time cyber and biology misuse classifiers, account-level signals, differentiated access, monitoring, enforcement, and ongoing testing. These controls are designed to preserve legitimate use cases such as debugging, code review, defensive testing, security education, and productivity automation while constraining prohibited misuse. GPT-5.6 Luna is planned for broader access through ChatGPT, Codex, and the API after the limited preview period. GPT-5.6 Luna helps developers and organizations run useful AI workflows with a practical balance of affordability, responsiveness, and safety.

Muse Spark 1.1 is Meta’s upgraded multimodal reasoning model designed to support advanced agentic workflows, coding tasks, computer use, and complex tool orchestration. Developed by Meta Superintelligence Labs, it builds on Muse Spark with major gains in planning, tool use, long-context reasoning, multimodal perception, and real-world task execution. The model can work across external apps and services, native tools, MCP servers, custom skills, browsers, scripts, images, video, PDFs, and audio inputs. Muse Spark 1.1 can act as a main agent by gathering context, creating a plan, and delegating work to parallel subagents, or operate as a subagent that follows instructions and escalates when needed. Its 1 million token context window allows it to retain earlier actions, retrieve information from long workflows, and compact context while preserving critical details. The model is also trained for computer-use tasks, deciding when to automate with scripts and when to interact directly with an interface. In coding workflows, Muse Spark 1.1 can diagnose bugs, implement features, migrate large codebases, generate web applications, take screenshots, identify UI issues, and validate fixes. Its multimodal strengths include visual-to-code generation, detailed image and video captioning, grounded perception, and workflows where seeing, reasoning, and acting happen together. Available through the Meta Model API public preview and in Thinking mode inside Meta AI, Muse Spark 1.1 gives developers and users a more capable foundation for building agents, automations, coding assistants, and multimodal productivity tools.

Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.

GPT-5.5 is a next-generation AI system built for execution-heavy workflows across coding, research, business analysis, and scientific tasks. It can interpret complex instructions, break them into actionable steps, and carry them through to completion while interacting with tools and systems. The model supports creating applications, generating reports, analyzing datasets, and navigating software environments seamlessly. It also integrates with workspace agents—custom AI agents that automate recurring and multi-step processes across teams. These agents can handle tasks such as lead research, reporting, and workflow automation, either on demand or on schedules. GPT-5.5 enhances productivity by reducing manual effort and enabling continuous task execution across tools. With enterprise-grade safeguards and monitoring, it ensures secure and controlled automation. It is well-suited for organizations looking to scale operations and improve efficiency through AI-driven workflows.

Melaya is a versatile platform designed to create and manage AI agents that seamlessly integrate with various business tools, web browsers, and Android applications, featuring six interconnected products: - Melaya Agents: A user-friendly visual interface for designing workflows and coordinating multi-agent teams, which integrates models, tools, memory, schedules, and approval mechanisms for reproducible operations. - Melaya Assistant: A singular conversational workspace that facilitates collaboration across interconnected business systems while utilizing authorized tools and shared context. - Melaya Device Control: AI agents that interact with real Android applications using accessibility features, eliminating the need for rooting or specialized API integration. - Melaya Browser Control: Agents capable of navigating and executing tasks within your web browser, equipped with options for selecting tabs, managing site permissions, live monitoring, and manual intervention. - Melaya MCP Server: This component provides existing AI assistants, such as Claude, ChatGPT, and Cursor, with access to Melaya’s features, including browser control, mobile agents, and workflows through a single connection. - Melaya Marketing: An all-encompassing suite designed for conducting AI-driven SEO audits, building backlinks, managing advertising campaigns, and performing analytics. This comprehensive suite of tools empowers users to enhance productivity and optimize their business processes.

Discover a groundbreaking SaaS solution that enhances and automates your digital advertising effectiveness by harnessing the capabilities of Artificial Intelligence. It provides a comprehensive overview of your brand's, competitors', and target audiences' data landscapes, ensuring you have a complete understanding of your digital presence. By leveraging millions of data points through advanced Computer Vision and Natural Language Processing, it identifies the most pertinent audiences for your campaigns. Guided by your business goals, it meticulously constructs hundreds of audience segments based on their behavioral characteristics and interests. Additionally, it swiftly creates, fine-tunes, and conducts A/B testing on campaigns, enabling you to uncover the most effective creative and targeting strategies. With capabilities ranging from rapid testing to extensive interest targeting, SoMin.ai empowers you to achieve remarkable results in ad optimization. Embrace the advancements of today's AI-enhanced digital ecosystems with an AI that is specifically engineered to comprehend, analyze, and excel in these environments, ultimately driving your advertising success to new heights. This innovative approach allows you to stay ahead in a competitive market, ensuring your brand's voice resonates effectively with your desired audience.

GitHub stands as the leading platform for developers globally, renowned for its security, scalability, and community appreciation. By joining the ranks of millions of developers and businesses, you can contribute to the software that drives the world forward. Collaborate within the most inventive communities, all while utilizing our top-tier tools, support, and services. If you're overseeing various contributors, take advantage of our free GitHub Team for Open Source option. Additionally, GitHub Sponsors is available to assist in financing your projects. We're thrilled to announce the return of The Pack, where we’ve teamed up to provide students and educators with complimentary access to premier developer tools throughout the academic year and beyond. Furthermore, if you work for a recognized nonprofit, association, or a 501(c)(3), we offer a discounted Organization account to support your mission. With these offerings, GitHub continues to empower diverse users in their software development journeys.

ChatGPT is a powerful AI-driven platform designed to help users work smarter by providing instant answers, creative ideas, and task automation. It supports a wide range of functions, including writing, editing, coding, research, and brainstorming. Users can interact with the platform through text or voice, making it accessible across different devices and workflows. ChatGPT can summarize meetings, analyze data, and generate insights to improve productivity and decision-making. It also offers creative support for tasks such as content creation, planning, and strategy development. A key feature is workspace agents, which allow users to automate entire workflows and repetitive tasks within their organization. These agents can run independently, integrate with tools, and handle actions like updating records, sending messages, or generating reports. Teams can build and share agents across their workspace to standardize processes and improve efficiency. Built-in controls ensure that automation remains secure and manageable with permissions and monitoring. ChatGPT helps reduce manual work while enabling teams to focus on higher-value activities. Overall, it enhances productivity by combining intelligent assistance with scalable automation.

Small businesses that sell B2B can use a simple but powerful CRM. It automates your CRM using existing data to build better relationships with customers and increase sales. It is a visual, intuitive and simple-to-use sales tool. Built on happiness, with the latest tech, for humans.

Stonify is business management software built for stone fabricators and countertop shops. It connects leads, quotes, drawings, slab inventory, production, installation, and accounting. Manage the sales pipeline, track leads, and follow up on quotes. Create countertop layouts, view the same drawing in 3D without redrawing the job, and include a link to the 3D view in customer quotes. Track slabs and remnants, schedule production, plan installations, and keep job documents and updates together from estimate to install. Integrations include QuickBooks Online, Avalara, Nuvei, Stripe, Slabsmith, Horus Scanner, SpeedLabel, Twilio, Google Maps, Claude, and Codex.

Magic Hour gives creators, marketing teams, agencies, ecommerce businesses, and developers one browser-based workspace for AI video, image, and audio creation. Its 100+ tools cover text-to-video, image-to-video, video-to-video, face swap, lip sync, talking photos, AI image generation and editing, virtual try-on, upscaling, voice generation, and subtitles. Anyone can try core tools free without signing up or installing software. Paid plans provide watermark-free exports, commercial usage rights, higher limits, and API access. For automated workflows, Magic Hour offers a REST API, official SDKs, webhooks, and a hosted MCP server for Claude, Claude Code, and Codex. Credits roll over, and generation errors automatically refund credits. Founded in the United States in 2023, Magic Hour now serves more than 3 million creators worldwide.

OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.

Butterbase serves as a backend solution tailored specifically for vibe coders. By integrating it with Claude Code, Cursor, or Windsurf through MCP, users can effortlessly set up their database, authentication, storage, and APIs simply by using a natural language prompt—eliminating the need for SQL, complex configurations, or any prior backend expertise. This innovative approach streamlines the development process, making it accessible to a broader audience.

AppControl is a comprehensive and free Task Manager designed for Windows, offering a complete history of system activities. Users can review days of performance data to pinpoint the causes of high CPU usage, excessive RAM consumption, GPU strain, disk overload, or overheating issues, while also tracking CPU and GPU temperatures over time. Its integrated privacy features monitor which applications have accessed your webcam, microphone, or location, revealing hidden installations and background processes. Unlike the basic End Task function, AppControl allows you to permanently disable troublesome applications, block entire publishers with a single click, and create custom rules that remain in effect. Real-time notifications alert you to any new or suspicious applications and privacy access as they occur. Each running process is accompanied by an easy-to-understand description, eliminating the need for web searches for clarification. Additionally, an optional open-source MCP extension enables integration with AI tools like Claude or Cursor, allowing users to inquire about their PC's activities in simple language, while a command-line interface caters to advanced users. With a lightweight design of just 20 MB, this tool is not only free but also aims to serve as a superior replacement for the standard Task Manager on all managed PCs. Its user-friendly features and powerful capabilities make it an essential tool for anyone looking to optimize their system performance and ensure their privacy.

Coachful is a CRM for coaching businesses, connecting the first enquiry with the work that follows. Forms, lead magnets, quizzes, booking pages and checkout funnels bring prospects into one place. Its customizable pipeline records source, stage, value and next steps, merges duplicate contacts, and launches email sequences or stage-based follow-ups. A client profile combines intake answers, goals, habits, check-ins, program progress, session history, notes, files, signed agreements, invoices, payments and session credits. Engagement insights and Michelle’s AI briefings help coaches prepare for calls and recognize when someone needs support. Coaches can schedule sessions, open video calls, send messages, assign programs or resources, update goals, send agreements and create invoices from the profile. Tags, segments and bulk actions organize the roster; client assignments and role-based permissions support teams. Changes carry through to the client’s branded portal and Coachful mobile app.

NotchPixel is a versatile utility for Windows desktops that introduces a customizable notch-style bar at the top of the screen, allowing users to access frequently used controls and status information in a compact format. This tool not only offers media playback controls along with synchronized lyrics, but also manages notifications, clipboard history, and provides a temporary shelf for files, as well as widgets, reminders, app shortcuts, and quick adjustments for volume, brightness, and Night light. Gamers can benefit from features that display FPS and system stats, capture screenshots and recordings, and monitor OBS and stream-chat interactions seamlessly. Additionally, it includes a local network transfer option that enables users to send files and text to their phones through QR codes. The interface is highly customizable, allowing modifications in appearance, position, hotkeys, and specific behaviors for different applications, while all settings and history are conveniently saved on the Windows PC. NotchPixel is specifically tailored for users of Windows 10 and 11, making it an ideal choice for gamers, streamers, and anyone seeking efficient desktop tools without the hassle of window switching. Furthermore, its user-friendly design enhances productivity by providing instant access to essential controls right at the user's fingertips.

React simplifies the process of building interactive user interfaces by allowing developers to design straightforward views for each state of their application. When your data changes, React intelligently updates and renders only the components that need to be altered, ensuring efficiency. The use of declarative views contributes to a more predictable coding experience and facilitates debugging. You can create self-contained components that maintain their own state and combine them to construct intricate UIs. Since the logic for these components is implemented in JavaScript rather than templates, it allows for seamless data transfer throughout the application while keeping the state separate from the DOM. React does not impose restrictions on your technology stack, enabling you to introduce new features in React without the necessity of overhauling your existing codebase. Each React component features a render() method that accepts input data and determines what should be displayed. This particular example employs an XML-like syntax known as JSX, and the input data provided to the component can be accessed through this.props within the render() method. Overall, this flexibility makes React a powerful tool for modern web development.

The Java™ Programming Language is designed as a versatile, concurrent, and strongly typed object-oriented language that utilizes a class-based structure. Typically, it is translated into bytecode that adheres to the specifications laid out in the Java Virtual Machine Specification. In this language, developers write source code in standard text files that conclude with the .java suffix. These source files are subsequently transformed into .class files through the use of the javac compiler. Unlike native processor code, a .class file comprises bytecodes, which serve as the machine language understood by the Java Virtual Machine (Java VM). To execute an application, the java launcher tool creates an instance of the Java Virtual Machine, allowing the compiled bytecode to run seamlessly. This process exemplifies the efficiency and portability that Java offers across various computing environments.

Muse Spark 1.3 represents an advanced AI model that has enhanced capabilities for both agentic and coding tasks, making it more intelligent and practical for use in everyday applications. It excels in maintaining focus on extended tasks through active collaboration with users while efficiently managing various workflows within a single, continuous thread. When faced with an open-ended goal, the model adeptly utilizes tools to create context from disorganized or contradictory information, rectify any gaps in its strategy, track its learning progress, and ultimately generate a final product. In situations where prompts lack clarity, it is proactive in seeking clarification, asking for assistance when it encounters obstacles, and confirming its actions before proceeding with significant decisions. The model demonstrates a high level of reliability in following intricate, long-form instructions, ensuring that detailed requirements are maintained throughout complex, multi-step tasks without losing critical constraints or deviating from the desired workflow. With its enhanced multitasking capabilities, it effectively aligns incoming prompts with the appropriate tasks, even in cases where users interject or shift the focus of previous requests, allowing for a seamless user experience. This makes Muse Spark 1.3 a versatile tool for a wide range of applications.

OpenCheese AI serves as a centralized AI gateway and API designed for developers aiming to link various applications and coding tools to a range of AI models via a single service interface. It facilitates compatibility with OpenAI endpoints and offers an Anthropic Messages-compatible interface, featuring functionalities such as model selection, management of API keys, monitoring of usage and balance, and access to AI models from major providers like OpenAI, Anthropic, Google, and DeepSeek. Developers benefit from the ability to set up supported coding clients and applications to route requests through OpenCheese, eliminating the need to handle separate provider credentials for each connection. The platform presents both credit-based usage and time-limited plans that come with included balances, with the availability of models, pricing, and free options varying according to the chosen model and plan. This service is particularly aimed at developers who are in the process of assessing or constructing workflows involving text, coding, and image generation using hosted AI models. Additionally, OpenCheese AI streamlines the integration process, making it simpler for developers to focus on innovation rather than the complexities of managing multiple AI service providers.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

We have developed a model known as ChatGPT that engages users in dialogue. This conversational structure allows ChatGPT to effectively respond to follow-up inquiries, acknowledge errors, question faulty assumptions, and decline unsuitable requests. InstructGPT, a related model, focuses on adhering to specific instructions given in prompts and delivering comprehensive answers. ChatGPT Plus is a premium subscription service designed for ChatGPT, the conversational AI. The subscription costs $20 per month, offering subscribers several advantages: - Uninterrupted access to ChatGPT, even during high-demand periods - Accelerated response times - Access to GPT-4 - Integration of ChatGPT plugins - Capability for web-browsing with ChatGPT - Priority for new features and enhancements Currently, ChatGPT Plus is accessible to users in the United States, with plans to gradually invite individuals from our waitlist in the upcoming weeks. We also aim to broaden access and support to more countries and regions in the near future, ensuring that a wider audience can experience its benefits.

Muse Wonder Full is a frontier AI model developed by Meta to support advanced reasoning, personal assistance, professional workflows, and autonomous software development. It is the larger model variant in the Muse Wonder series, which also includes the standard Muse Wonder model. The system combines Active Memory and Active Focus to maintain relevant context and sustain progress on complex assignments. Active Memory enables the model to preserve important information across conversations and retrieve details relevant to current objectives. Active Focus supports multistep execution by allowing the model to investigate alternative solutions, respond to obstacles, and adjust its approach as tasks evolve. Muse Wonder Full can assist with legal document analysis, financial reasoning, health-related information, and other knowledge-intensive activities. Its software engineering capabilities support code generation, application development, debugging, testing, and modifications across existing codebases. Meta has evaluated the model using benchmarks such as MemoryBench, FocusBench, SWE-Marathon, DeepSWE, and professional agent assessments. Muse Wonder Full is accessible through Muse Code subscriptions and is intended for tasks that require extended reasoning, contextual continuity, and coordinated AI agent execution.

As artificial intelligence continues to evolve, its ability to tackle more intricate and vital challenges will expand, necessitating a greater computational power to support these advancements. The ChatGPT Pro subscription, priced at $200 per month, offers extensive access to OpenAI's premier models and tools, including unrestricted use of the advanced OpenAI o1 model, o1-mini, GPT-4o, and Advanced Voice features. This subscription also grants users access to the o1 pro mode, an enhanced version of o1 that utilizes increased computational resources to deliver superior answers to more challenging inquiries. Looking ahead, we anticipate the introduction of even more robust, resource-demanding productivity tools within this subscription plan. With ChatGPT Pro, users benefit from a variant of our most sophisticated model capable of extended reasoning, yielding the most dependable responses. External expert evaluations have shown that o1 pro mode consistently generates more accurate and thorough responses, particularly excelling in fields such as data science, programming, and legal case analysis, thereby solidifying its value for professional use. In addition, the commitment to ongoing improvements ensures that subscribers will receive continual updates that enhance their experience and capabilities.

Muse Spark is Meta’s first model in the Muse family, designed as a natively multimodal AI system focused on advanced reasoning and real-world applications. It combines text, visual understanding, and tool usage to provide more interactive and context-aware responses. The model introduces capabilities like visual chain-of-thought reasoning and multi-agent orchestration for complex problem-solving. Its Contemplating mode allows multiple AI agents to work in parallel, improving accuracy on challenging tasks. Muse Spark performs strongly across domains such as STEM reasoning, health insights, and multimodal perception. It can analyze images, generate interactive outputs, and assist with tasks like troubleshooting or educational content. The model is trained using improved pretraining, reinforcement learning, and efficient test-time reasoning techniques. It is designed to scale efficiently while delivering high performance with optimized compute usage. Safety measures include strong refusal behavior and alignment safeguards across high-risk domains. Overall, Muse Spark is a foundational step toward building personalized, highly capable AI systems.

GPT-5.1 Pro is a premium, research-focused model tier built for users who need the strongest reasoning performance ChatGPT offers. It excels in technical domains such as advanced mathematics, scientific analysis, engineering, complex coding, and financial modeling. The model is engineered to deliver more coherent long-form reasoning, better chain-of-thought structure, and stronger factual grounding than general-purpose versions. With expanded context capacity, GPT-5.1 Pro handles large documents, multi-file analysis, and intricate workflows with ease. It also produces clearer explanations with reduced jargon, making complex insights more accessible without losing technical depth. Designed for demanding professional environments, Pro adheres to strict accuracy expectations while minimizing hallucinations in critical tasks. It is restricted to ChatGPT Pro and Business plans, ensuring dedicated access with no usage caps beyond standard abuse guardrails. Compared to other tiers, GPT-5.1 Pro is purpose-built for users who rely on ChatGPT as a high-precision analytical engine.

Rillsoft Project offers a targeted approach to resource and capacity planning for mid-sized industrial firms managing multiple projects. It effectively manages resource allocation based on qualifications prior to assignments and identifies potential bottlenecks among various projects. The latest iteration, Version 10, introduces accessibility for AI assistants via an integrated MCP server. This advanced planning engine is capable of computing timelines and workload demands. Additionally, the Windows client can operate independently or link with either the Rillsoft Integration Server or Rillsoft Cloud, enhancing overall project management efficiency. This flexibility ensures that users can tailor their planning solutions to best meet their organizational needs.

Rillsoft Cloud serves as the hosting platform for Rillsoft Integration Server, but it is not an independent product or an artificial intelligence service. Additionally, Rillsoft Project offers a tailored solution aimed at resource and capacity planning across multiple projects, specifically designed for mid-sized industrial firms. It effectively manages capacity based on qualifications prior to assigning personnel and highlights potential bottlenecks throughout various projects. With the release of Version 10, this planning capability is made accessible to AI assistants via an integrated MCP server, enhancing the user experience. The planning engine is responsible for determining timelines and workloads, while the Windows client can function independently or connect to either Rillsoft Integration Server or Rillsoft Cloud. This versatility ensures that users can choose the deployment method that best fits their operational needs.

GrowthBook is an open-source, warehouse-native platform for feature flags, experimentation, and product analytics. Self-host or use GrowthBook Cloud. Feature flags: Boolean, string, number, and JSON values with targeting rules, percentage rollouts, instant kill switches, and stale flag detection. Experimentation: A/B and multivariate tests across server-side, client-side, mobile, and edge, with Bayesian and frequentist engines. Warehouse-native: Connect Snowflake, BigQuery, Redshift, Databricks, ClickHouse, Postgres, and more. Metrics are transparent SQL, and end-user PII stays in your warehouse. AI-ready: An MCP server and agent skills let you manage flags and experiments from your editor. 24+ SDKs: JavaScript, React, Node.js, Python, Ruby, Go, PHP, Java, Swift, Kotlin, and more, plus a REST API, webhooks, and dbt sync. Pricing is per seat. Start free with unlimited events, experiments, and traffic. Paid plans add advanced statistics, safe rollouts, SSO, and approval workflows.

Signado enables B2B sales teams to replace cold outreach with signal-driven conversations. The platform continuously tracks target companies for meaningful events such as leadership changes, fundraising, and growth announcements. Instead of guessing when to reach out, users get notified when intent is highest. Signado then drafts outreach messages that directly reference the detected signal. Each opportunity is scored to highlight the most promising accounts first. Sales teams can review, customize tone, and export messages to their preferred sending tools. The workflow keeps outreach human while removing manual research. Signado works alongside existing sales stacks without replacing email or CRM tools. By focusing on relevance and timing, reply rates increase significantly. The platform is built for modern outbound teams that value quality over volume.

AppDeploy revolutionizes the deployment process by allowing users to transition from AI chat to fully operational applications seamlessly. Simply instruct your AI chat or assistant about what you want to create, and AppDeploy.ai handles the rest, enabling you to stay within the chat interface without needing to interact with any infrastructure. You can deploy comprehensive, full-stack applications directly from platforms like ChatGPT, Claude, Cursor, Gemini, Claude Code, Codex, or any other AI helper, receiving a live URL within moments, all while remaining in the chat environment. There’s no need for Git, command-line interfaces, or integrated development environments, as AppDeploy takes care of hosting, database management, backend services, storage, authentication, and AI integrations automatically. With each deployment, you receive a fully functioning application complete with a shareable URL, ensuring it is not just a prototype but a real app. AppDeploy is designed for creators of all expertise levels, eliminating complicated setup processes and technical choices, making app deployment accessible and straightforward for everyone. This approach empowers users to bring their ideas to life quickly and efficiently.

DocuWriter.ai serves as an innovative software documentation platform powered by artificial intelligence, specifically designed for developers and engineering teams. By examining source code and repositories, it produces precise technical documents, including API references, README files, code annotations, and UML diagrams. Teams can easily integrate Git repositories, establish searchable documentation hubs, manage and modify generated documents, export information, and implement repository-sync workflows to ensure that the documentation remains in sync with code updates. This tool significantly minimizes the amount of manual documentation work required, facilitates quicker onboarding for new developers, and ensures that documentation stays current for various software projects. Ultimately, DocuWriter.ai enhances productivity and streamlines the documentation process within software development teams.

Whale Alerts serves as a comprehensive platform for monitoring significant cryptocurrency transactions and analyzing on-chain data in real time. It meticulously tracks substantial blockchain movements across major digital assets, identifies inflows and outflows on exchanges, and provides valuable insights into whale behaviors that may precede notable price changes. The platform features live feeds of whale transactions, instant alerts via Telegram, detailed analytics on exchange net flows, indicators of whale sentiment, and customizable dashboards for observing accumulation, distribution, and potential selling pressure trends. Users have the capability to monitor assets including BTC, ETH, stablecoins, and various altcoins, while filtering alerts based on asset type and transaction specifics, ensuring rapid notifications for any major whale activity. Whale Alerts is tailored for a diverse audience, including traders, investors, analysts, research teams, and trading groups who require precise, immediate signals from the blockchain market devoid of extraneous distractions. This makes it an invaluable tool for those looking to stay ahead in the fast-paced world of cryptocurrency trading.

Anyone can get an AI agent to turn tests green on a toy problem. kodwai measures the part that is harder to fake: how well you direct it. Developers pick a real engineering challenge (a CRDT text buffer, an event-sourced ledger, a zero-downtime migration), pull it down with npx @kodwai/cli@latest challenge <slug>, and solve it locally with Claude Code, Cursor or Codex. No browser sandbox. When they run npx @kodwai/cli@latest submit, kodwai reads the session (prompts, commits, test runs) and returns a 0 to 100 score across three axes: Direction (how you steer, verify and decompose), Outcome (what shipped, replayed and stress-tested) and Lift (how far you beat a solo AI). Each signal cites its evidence, and the score comes with a confidence interval instead of false precision. Developers get 3 free scored submissions, then connect their own Anthropic key for unlimited runs. Teams can use the hiring track to run private real-world interviews.

Sitelemetry serves as a comprehensive hosted platform for auditing websites, catering to developers, web agencies, founders, and teams that manage business sites. It evaluates various aspects including security, technical SEO, AI-search optimization, accessibility, performance metrics, and tag integrations, delivering insights through evidence-backed scores, prioritized issues, and detailed remediation recommendations. Users can access audit results via a web dashboard or link compatible AI clients through a secure Model Context Protocol (MCP) server for requesting checks and generating prompts for fixes. While Google Search Console offers read-only access to search data, performance evaluations utilize Google PageSpeed Insights to gauge efficiency. The platform offers paid subscription options that encompass all six audit domains, along with scheduled monitoring and enhanced usage capacity, whereas the free plan restricts users to security assessments only. It’s important to note that Sitelemetry identifies and reports issues without automatically making changes to the websites it audits. This ensures that users maintain control over their site modifications while benefiting from the platform's insights.

Latent is a disk cleanup and storage analysis application specifically designed for developers and individuals utilizing local AI tools on macOS. It organizes storage by attributing it to the specific applications and tools that generated it, encompassing elements like model files, build artifacts from development, package caches, Docker data, and application files, while categorizing these items as either recoverable, user-controlled, or protected. Users have the ability to examine disk space by its owner, analyze memory usage, uninstall applications, and locate nearly identical AI-generated images and videos based on similarity. All cleanup actions are logged for potential recovery, allowing file deletions to be restored from the Trash, alongside providing guidance for items managed by external applications. Furthermore, an optional integrated Model Context Protocol (MCP) server enables compatible assistants to analyze scans and suggest cleanup actions, which must be confirmed by the user before implementation. Latent operates locally on macOS 14 or newer, where scanning can be done free of charge, but a license is necessary for file removal, ensuring users maintain control over their data management processes. This app thus empowers users to optimize their storage efficiently while preserving the ability to recover important files if needed.

Outmake is a Mac application designed to operate OpenAI models directly on the Mac, ensuring that chats, images, and videos remain on the device that created them. It is conveniently located in the notch and can expand into a full window for easier use. The app displays compatible models for the Mac before any downloads occur, enabling users to create and modify images and videos, as well as communicate through listening and speaking capabilities. It is compatible with various AI systems, including Claude, ChatGPT, Gemini, and OpenCode, catering to the needs of their users. Currently, Outmake is available in a public beta version for free and is developed by Ambedo Labs based in Utah, requiring macOS 26 or newer and Apple silicon. Users have the option to explore models from Hugging Face and Civitai, and they can utilize local models without needing an Outmake account. However, certain cloud-provider features may necessitate the user to have their own account or API key. Additionally, Outmake operates Claude Code and Codex agents, and it supports Model Context Protocol (MCP) tool servers, making it a versatile platform. This app aims to empower Mac users interested in local AI applications, enhancing their creative processes, voice interactions, and coding tasks. With its innovative features, Outmake stands out as a valuable tool for those exploring the intersection of technology and creativity on their Mac devices.

Selzee functions as an online AI advertising platform that analyzes a company's website, products, customer feedback, and current advertisements to generate completed static image ads. By incorporating a brand's products, logos, colors, and fonts, it crafts advertisements based on trends observed in ads displayed on Meta, also providing the original ad and the rationale behind each design concept. Users are able to request modifications, evaluate and approve the creative content, and link their social media accounts to launch or schedule their ads. This tool is tailored for e-commerce businesses, direct-to-consumer brands, applications, local enterprises, as well as the agencies and freelancers responsible for their advertising strategies. Additionally, it features an MCP server that enables compatible AI assistants to access brand data and, with paid subscriptions, create advertisements and manage scheduling. Notably, Selzee does not support the generation of video advertisements, focusing solely on static images instead. Its innovative approach allows brands to streamline their advertising processes efficiently.

Prooflive.ai serves as a platform for businesses looking to create and host their own websites using an AI agent. After signing up, users simply copy a prompt into a compatible agent on their device and input some information regarding their business, an existing website, or a desired design. The agent then generates HTML pages in a private preview mode, ensuring that each saved page is verified by Proofrails, which acts as Prooflive.ai's internal safety feature. Once the site is finalized, it can be launched on the customer's domain complete with SSL certification and hosting within the UK. The various plans offered include a leads inbox equipped with spam filtering, SEO optimization tools, and additional features on the Standard plan or higher, such as domain email, a blog, page version history, and both visual and HTML editing capabilities. Additionally, designers and studios have the opportunity to create client websites from provided designs, share links for their launch, and receive a commission ranging from 10% to 20% on the hosting fees paid by clients. With options available for everything from simple one-page business sites to more complex, high-traffic websites, Prooflive.ai caters to a wide range of users and their specific needs. This flexibility makes it an appealing choice for businesses of all sizes looking to establish a robust online presence.

Depra AI serves as an innovative web-based tool designed to help consumer brands and their teams track visibility in AI search results, providing insights into how products are represented in AI-generated answers. By analyzing buyer queries through ChatGPT alongside web searches on platforms like Gemini, Google AI Overviews, and Perplexity, it systematically compiles answers and their corresponding sources for users to review. Users are able to assess brand mentions in relation to competitors while monitoring key metrics such as visibility, average position, sentiment, and share of voice, all while receiving tailored suggestions on enhancing their site’s presence in AI responses. The platform accommodates inquiries in both English and Hinglish across 40 different markets, offering robust reporting capabilities that include CSV exports and source citation analysis. Plans are designed to cater to individual brands, expanding teams, and agencies that manage several client projects simultaneously. Additionally, a read-only MCP server allows compatible AI applications to access workspace and project data seamlessly, further enhancing its utility for users. This comprehensive approach empowers brands to optimize their visibility and engagement in the evolving landscape of AI-driven search.

Membase serves as a long-lasting memory solution designed for both individuals and developers focused on creating AI agents. It compiles insights from discussions, documents, online content, and integrated applications into a durable memory system that users can easily review, modify, remove, and export as needed. To facilitate memory management, a web application along with a Chrome extension allows users to save browser data and share certain information with compatible AI tools. Developers can link their custom agents via MCP, which includes a REST API, command-line interface, or SDKs for Python and TypeScript. The system features distinct memories and access controls tailored for personal use, projects, and client engagements, enabling users to manage permissions effectively. Additionally, the hosted platform is responsible for storing and processing the original content, which aids in the construction and retrieval of memory. With these capabilities, Membase enhances the efficiency and organization of information for AI-driven tasks.

AnswerGravity functions as a SaaS platform designed to monitor how brands are represented in AI-generated responses to consumer inquiries. It conducts daily assessments of ChatGPT, Gemini, Google AI Overviews, and Perplexity, while Google AI Mode operates exclusively on Scale, with Microsoft Copilot being accessible on Scale only in Spain. In contrast, Claude and Grok are evaluated on a weekly basis. Each recorded response is accompanied by its date, complete text, and the sources referenced; any unsuccessful checks are not factored into brand absence statistics. The platform offers dashboards that indicate mention frequencies, positional rankings, and share of voice, enabling comparisons among competitors and analyses of cited references. By leveraging prompt research, teams can strategically select the inquiries they wish to track. The social listening feature monitors discussions on platforms like Reddit and Quora, providing alerts through email, Slack, or webhooks. Additionally, reports, an API, and an MCP server facilitate data sharing and access. Teams gain insights to formulate evidence-based priorities and prepare actionable drafts for review prior to publication. Catering to SEO and marketing agencies, startups, B2B SaaS companies, and online retailers, it helps monitor AI visibility in Spain and various other regions. While it provides measured responses, it does not ensure the accuracy of AI recommendations, emphasizing the importance of human oversight in interpreting the findings.