JD Cloud Launches Moltbot Cloud Service: Simplifying Open Source Deployment and Promoting the Popularization of Personal Cloud Assistants

On January 29, JD Cloud officially announced the full launch of the Moltbot (formerly Clawdbot) cloud service on its lightweight cloud instances. This move marks a breakthrough for this popular open-source project, transitioning from complex local deployment to one-click activation in the cloud. Users can now complete a one-stop environment setup in just three steps.

Emerging Star in the Open Source Community: Breaking Barriers in Application Interaction

As a recent global sensation in the open-source world, Moltbot has rapidly gained popularity due to its unique interaction logic. Unlike traditional applications, Moltbot allows users to execute multiple tasks simply by sending commands through common communication software, without needing to open specific websites or apps. This lightweight and highly convenient feature helped it gain 76.5k Stars on GitHub within just a few days of release, becoming a focal point in the open-source technology field.

Leaving Local Limitations Behind: Seeking the Best Solution in the Cloud

Previously, the deployment threshold of Moltbot was a core concern for users. Although there was a trend in overseas markets of purchasing Mac minis for local deployment, the local mode had obvious shortcomings in terms of cost, hardware performance stability, and network environment, making it difficult to support intensive multi-task large-scale processing.

Preset Images: Achieving Instant Readiness Around the Clock

To address these pain points, JD Cloud's lightweight cloud instances now come with a Moltbot application image pre-installed. Through cloud deployment, users no longer need to manually configure complex operating environments, enabling the assistant to start instantly and run stably around the clock, significantly lowering the technical barriers for ordinary users to access cutting-edge open-source tools.

Open Source AI Project Clawdbot Changes Name to Moltbot Under Pressure, Old Account Hijacking Leads to Cryptocurrency Scam

The open-source AI assistant project Clawdbot has been renamed Moltbot to avoid trademark conflicts with Anthropic's Claude. The new name symbolizes 'rebirth through molting.' However, during the transition, the original Twitter account @clawdbot was hijacked by cryptocurrency scammers, creating secondary risks.....

GitHub Star King! Clawdbot Gains 9,000 Stars in One Day, Open Source Cyber Butler Becomes Popular in the Tech Community

Clawdbot is an open source AI assistant that became popular quickly after its release on January 26, 2026, gaining 9,000 stars on GitHub in one day. Its core features are decentralization and reverse control, running on users' local devices to achieve self-hosting and full permission integration, differing from traditional SaaS services.

DeepMCPAgent Open-Source Breakthrough: MCP + LangChain to Build a Super AI Agent with 10x Productivity Boost?

Recently, the open-source project DeepMCPAgent made its debut, offering plug-and-play dynamic MCP tool discovery functionality. It supports developers in rapidly building production-grade MCP-driven agents using LangChain and LangGraph. The project emphasizes model independence, allowing users to bring any LLM model for efficient integration and deployment. AIBase has compiled the latest Twitter and online information, revealing how this open-source innovation is reshaping the AI agent ecosystem and enabling a seamless transition from prototype to production.

Kimi Collaborates with Tsinghua University to Launch Mooncake Open Source Model Inference Architecture to Enhance AI Inference Efficiency

In an era of rapid development in artificial intelligence, the intelligence level of large models continues to improve, but the challenges of inference system efficiency are becoming increasingly apparent. Addressing high inference loads, reducing inference costs, and shortening response times has become an important issue faced by the industry. Kimi has collaborated with the MADSys laboratory at Tsinghua University to launch the KVCache-based Mooncake inference system design plan, which will be officially released in June 2024. The Mooncake inference system enhances efficiency through its innovative approach.

Kuaishou and Peking University Launch Pyramid-Flow, a High-Definition Video Generation Model That Can Create 24 Frames of High-Resolution Video

Kuaishou, Peking University, and Beijing University of Posts and Telecommunications have joined forces to unveil a groundbreaking technological achievement—the Pyramid-Flow high-definition video model. This open-source project has made significant breakthroughs in the field of AI-generated video, bringing new possibilities to the industry. The Pyramid-Flow model demonstrates remarkable capabilities, generating high-quality videos of up to 10 seconds in length, with a resolution of 1280x768 and a frame rate of 24fps, using only text input. It excels in light and shadow effects, motion continuity, overall image quality, and text interpretation.