Search AI Products and News

Recently, the Chinese AI agent platform Manus officially announced the opening of user registration. Users can register and use it directly without joining the waitlist. The announcement clearly stated that all registered users can execute one task for free every day and receive a reward of 300 points, and new users will also receive an additional gift of 1000 points.

According to Bloomberg, Manus AI, a general-purpose AI agent from Chinese startup Butterfly Effect, has secured $75 million in funding. This translates to approximately 547 million RMB and was led by Benchmark, a prominent US venture capital firm, with participation from existing investors. This round catapults Butterfly Effect's valuation to nearly $500 million, a fourfold increase, reflecting strong market confidence in its product. Image note: Image generated by AI, image rights reserved.

Wise芽 has officially launched its new AI Agent platform, Eureka. This platform focuses on providing intelligent services for intellectual property, R&D, biomedicine, materials, and technological innovation, aiming to help users complete technological innovation work more efficiently. The Eureka platform initially launched nearly 20 specialized AI agents, covering various functions such as novelty search, patent specification writing, technical solution exploration, technical Q&A, biomedical encyclopedia Q&A, and material property analysis.

On April 24th, Tencent Cloud announced an upgrade to its CodeBuddy code assistant, introducing the Craft software development AI agent. This innovative tool evolves AI programming from 'code completion' to 'project delivery,' significantly boosting software development efficiency. According to Tencent Cloud, developers using Craft see an average coding time reduction of over 40%, with AI-generated code accounting for over 40% of their projects, resulting in a more than 16% increase in development efficiency.

OpenAI recently released a prediction forecasting $125 billion in total revenue by 2029. AI agent and channel revenue will be key drivers. AI agent revenue is projected to reach nearly $29 billion, representing almost a quarter of total revenue, while channel revenue is expected to reach $25 billion. Image note: Image generated by AI, image licensing service Midjourney. Following the success of ChatGPT, OpenAI's...

Baidu has officially released Xinxiang, a mobile application featuring multi-agent collaboration. The Android version is already available, with the iOS version expected soon. Positioned as a general-purpose super AI agent, the app aims to intelligently address complex user needs in daily life.

As Artificial Intelligence (AI) increasingly takes over business processes traditionally handled by humans, many AI agents will need to securely log into multiple systems to perform their tasks. To address the challenges enterprises face in modern credential management, leading password management company 1Password has announced the addition of secure AI agent capabilities to its Extended Access Management platform (XAM). Image Note: Image generated by AI, image licensing service provider Midjourney. In recent years, the rapid development of AI technology has raised concerns about...

Kortix-AI has officially launched Suna, an open-source general-purpose AI agent platform positioned as an open-source alternative to the popular AI tool Manus. According to AIbase, Suna integrates browser automation, file management, web scraping, enhanced search, command-line execution, website deployment, and API integration, enabling the automation of complex tasks through natural language conversations. The project is now live on GitHub and has quickly become a focal point for AI developers and automation enthusiasts due to its powerful feature set and open-source nature.

Infosys recently released its Q4 FY25 financial report, revealing a net profit of $814 million, a 11.7% decrease compared to $959 million in the same quarter last year. However, the company's revenue grew by 7.9% year-over-year, reaching $4.7 billion. For the full fiscal year, total revenue reached $19 billion, showing a modest 3.9% increase. In a press release, Infosys CEO Salil Parekh expressed optimism regarding generative AI...

During a technical livestream at 1 AM today, OpenAI officially launched its latest and most powerful multimodal models: o4-mini and the full-power o3. These models offer unique advantages, capable of processing text, images, and audio simultaneously. They also function as agents, automatically utilizing tools such as web search, image generation, and code parsing. Furthermore, they possess a deep thinking mode, enabling reasoning about images within a chain of thought.

At a recent Goldman Sachs conference, OpenAI CFO Sarah Friar revealed the company is developing an AI agent called "A-SWE" designed to completely replace software engineers. Friar stated that this new AI will not only augment the productivity of existing engineers but also independently handle tasks ranging from application development to quality assurance, troubleshooting, and documentation. She indicated that A-SWE will "double" the size of companies' development teams. Image source omitted.

As large language models accelerate their application, connecting AI systems with existing digital business chains has become a critical issue. On April 15th, Alipay, in collaboration with the ModelScope Community, pioneered the launch of the "Payment MCP Server" service in China, enabling AI agents to access payment capabilities with a single click, bridging the final mile from AI service to AI commercialization. Tests show that AI developers can use natural language to access Alipay's payment services, quickly enabling payments within AI agents. This product is currently available on the ModelScope Community MCP Plaza, Alipay's treasure box, and Alipay itself.

In today's rapidly developing digital business environment, risk control systems have become a core defense line for enterprises against black production, fraud, and ensuring transaction security. However, traditional risk control faces challenges such as high reliance on manpower and lagging strategies. Data analysts need to manually extract risk characteristics and design protection rules from massive amounts of data daily, which is time-consuming and laborious; new strategies often take days or even weeks to be discovered and launched, while black production has already iterated its attack methods. How can we make risk control systems think and evolve in real-time like humans? The answer lies in the deep integration of AI Agents and risk control systems. Breakthrough.

A new benchmark for evaluating AI agents has arrived! OpenAI has announced the open-sourcing of BrowseComp, an innovative benchmark designed specifically to assess the web browsing capabilities of AI agents. This initiative provides the AI research community with a new tool and lays the foundation for more intelligent and reliable browsing agents. AIbase offers an in-depth analysis of BrowseComp's core value and industry impact. BrowseComp: The ultimate test for AI browsing capabilities.