Best Artificial Intelligence Software for Manus AI

Compare the Top Artificial Intelligence Software that integrates with Manus AI as of July 2026

This a list of Artificial Intelligence software that integrates with Manus AI. Use the filters on the left to add additional filters for products that have integrations with Manus AI. View the products that work with Manus AI in the table below.

What is Artificial Intelligence Software for Manus AI?

Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for Manus AI currently available using the table below. This list is updated regularly.

  • 1
    Gemini 3 Pro
    Gemini 3 Pro is Google’s most advanced multimodal AI model, built for developers who want to bring ideas to life with intelligence, precision, and creativity. It delivers breakthrough performance across reasoning, coding, and multimodal understanding—surpassing Gemini 2.5 Pro in both speed and capability. The model excels in agentic workflows, enabling autonomous coding, debugging, and refactoring across entire projects with long-context awareness. With superior performance in image, video, and spatial reasoning, Gemini 3 Pro powers next-generation applications in development, robotics, XR, and document intelligence. Developers can access it through the Gemini API, Google AI Studio, or Gemini Enterprise Agent Platform, integrating seamlessly into existing tools and IDEs. Whether generating code, analyzing visuals, or building interactive apps from a single prompt, Gemini 3 Pro represents the future of intelligent, multimodal AI development.
    Starting Price: $19.99/month
  • 2
    PromptDC

    PromptDC

    PromptDC

    PromptDC is an AI‑powered prompt engineering extension that integrates directly into your favorite web‑based and local AI platforms, such as Lovable, Bolt.new, Replit, V0, Cursor, and Windsurf, to rewrite, enhance, and structure your prompts for maximum accuracy without ever leaving the interface. Once installed, you simply type your original instruction into any supported text field and click “Enhance”; PromptDC reads the underlying system prompt of the host platform, refines your wording to match its expectations, and returns a clearer, more effective version that drives higher‑quality AI outputs. Beyond on‑the‑fly enhancement, the tool offers a centralized workspace for creating, organizing, and testing prompt templates across use cases, content creation, coding assistance, marketing campaigns, data analysis, and more, while providing best‑practice guidance to help you overcome creative blocks and optimize workflows.
    Starting Price: €6.99 per month
  • 3
    Snippets AI

    Snippets AI

    Snippets AI

    Snippets AI is an AI-prompt and snippet-management platform where users can save, adapt, and reuse prompts and code snippets across multiple large-language models from one centralized workspace. It provides keyboard shortcuts to insert prompts into any app without copy-and-paste, ensuring consistency and speed. Teams can collaborate in shared workspaces with version control, syntax highlighting, voice input, and public or private sharing of libraries, ensuring everyone stays aligned on content, templates, or code patterns. Snippets AI also offers developer-friendly REST APIs to programmatically manage prompts, code, workspaces and integrations. Community features include public libraries of curated prompts and a “Share & Earn” model that pays creators for prompt views. Enterprise-grade security includes fine-grained permissions, audit logs, and dedicated policies for data protection.
    Starting Price: $5.99 per month
  • 4
    Gemini 3 Flash
    Gemini 3 Flash is Google’s latest AI model built to deliver frontier intelligence with exceptional speed and efficiency. It combines Pro-level reasoning with Flash-level latency, making advanced AI more accessible and affordable. The model excels in complex reasoning, multimodal understanding, and agentic workflows while using fewer tokens for everyday tasks. Gemini 3 Flash is designed to scale across consumer apps, developer tools, and enterprise platforms. It supports rapid coding, data analysis, video understanding, and interactive application development. By balancing performance, cost, and speed, Gemini 3 Flash redefines what fast AI can achieve.
  • 5
    Agent Payments Protocol (AP2)
    Google’s Agent Payments Protocol (AP2) is an open protocol designed together with over 60 payments, fintech, and tech companies (e.g., Mastercard, PayPal, Adyen, Coinbase, Etsy) to enable secure, agent-led transactions across platforms. It builds on earlier open standards like Agent2Agent (A2A) and the Model Context Protocol (MCP) to ensure that when an AI agent initiates or completes a payment on behalf of a user, three core requirements are met: authorization (proving the user explicitly gave permission for that specific purchase), authenticity (ensuring the agent’s intended purchase matches what the user meant), and accountability (clear audit trails and responsibility in case of errors or fraud). The protocol uses mandates, which are cryptographically signed digital contracts backed by verifiable credentials.
  • 6
    Gemini 3.1 Pro
    Gemini 3.1 Pro is Google’s upgraded core intelligence model designed for complex tasks that require advanced reasoning. Building on the Gemini 3 series, it delivers significant improvements in problem-solving performance and logical pattern recognition. On the ARC-AGI-2 benchmark, Gemini 3.1 Pro achieved a verified score of 77.1%, more than doubling the reasoning performance of Gemini 3 Pro. The model is engineered for challenges where simple answers are insufficient, enabling deeper analysis, synthesis, and creative output. It can generate practical outputs such as animated, website-ready SVGs directly from text prompts, combining intelligence with real-world usability. Gemini 3.1 Pro is rolling out in preview across consumer, developer, and enterprise platforms including the Gemini app, NotebookLM, Gemini API, Gemini Enterprise Agent Platform, and Android Studio. With expanded access for Google AI Pro and Ultra users, 3.1 Pro sets a stronger baseline for agentic workflows.
  • 7
    Gemini 3.1 Flash-Lite
    Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building.
  • 8
    Gemini 3.5 Pro
    Gemini 3.5 Pro is Google’s anticipated next-generation Pro model in the Gemini 3.5 series, designed for advanced reasoning, coding, multimodal understanding, and agentic workflows. It is expected to build on Google’s Gemini 3 family with stronger performance for complex tasks that require planning, context handling, tool use, and deep problem solving. The model is aimed at users who need more power than faster Flash models for demanding development, research, automation, and enterprise AI use cases. Gemini 3.5 Pro is expected to support sophisticated workflows across text, code, files, multimodal inputs, and connected tools. Developers and organizations will likely use it through Google’s AI platforms for building assistants, agents, coding tools, analysis systems, and productivity applications. As an upcoming Pro-tier model, Gemini 3.5 Pro is positioned for high-value workloads where accuracy, reasoning quality, and advanced task execution matter more than maximum speed.
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