open source project

BettaFish (Micro Opinion) is an open source AI opinion analysis project developed by a 20-year-old college student, originated from a course assignment, gained 4000+ Stars and reached the first place of GitHub Hotlist within 24 hours. The system uses multi-intelligence collaboration, including Query Agent, Media Agent, etc., to automatically analyze domestic and international social media data to generate in-depth reports. Core strengths include full domain monitoring, multimodal capability and forum-style debate mechanism. Future plans are to expand the prediction function.

Smart Excalidraw is an AI tool for generating professional diagrams based on natural language, supporting flowcharts, architecture diagrams and more than 20 types. Users can quickly generate editable diagrams by simply typing a description, integrating Excalidraw functionality and supporting local deployment and privacy protection. The tool significantly improves the efficiency of technical document production, applicable to program design, meeting minutes and other scenarios, the average generation time is only 3-10 seconds.

The StepFun team has open-sourced NextStep-1, a 14B-parameter pure autoregressive image generation model. The model generates images directly in continuous visual space, without relying on diffusion models or discretization, consisting of a 14B-parameter Transformer backbone and a 157M-parameter stream matching head. It supports high-fidelity text-generated images and accurate image editing (e.g., object addition and deletion, background modification), and performs well in benchmark tests such as GenEval (0.73) and GenAI-Bench, approaching the top diffusion model. However, there are challenges such as unstable generation and decoding delay, marking a new stage of autoregressive image generation.

Nanobrowser is an open source AI browser automation framework that has recently exploded on GitHub, and has received 17,000+ stars in the first week of its launch. Its core adopts a dual-intelligence body collaboration model: Planner disassembles natural language commands into operational steps, and Navigator performs, reads, and other operations in real web pages. The project supports local operation and multi-model access, and can realize webpage automation tasks such as thesis capture, price comparison, and public opinion monitoring, etc. Typical cases show that it completes thesis data capture in 2 minutes and a half, and the cost is only $0.1.

MiniMax released a new generation of open source big model M2, with the performance among the top 5 in the world, and the price is only 8% of Claude 4.5. The model has a total parameter of 230B, an activation parameter of only 10B, and an inference speed of more than 100 tokens/second. It has excellent performance in programming, Agent workflow and multimodal tasks, breaking the "impossible triangle" of high performance, low price and high speed in the field of AI.

DeepAnalyze is an open source agent-based large language model jointly developed by a team from Renmin University of China and Tsinghua University, the first end-to-end solution for autonomous data science. Its core capabilities include automatically completing the whole process of data preparation, analysis, modeling, visualization and report generation, supporting multi-format data sources such as CSV, Excel, etc. without human intervention.DeepAnalyze-8B (8B parameters) outperforms commercial models such as GPT-4o-mini in benchmarks, and with the model weights, code, and training data fully open-sourced, DeepAnalyze can be deployed as a proprietary data science assistant.

DeepAnalyze is an open source agent-based large language model jointly developed by a team from Renmin University of China and Tsinghua University, the first end-to-end solution for autonomous data science. Its core capabilities include automatically completing the whole process of data preparation, analysis, modeling, visualization and report generation, supporting multi-format data sources such as CSV, Excel, etc. without human intervention.DeepAnalyze-8B (8B parameters) outperforms commercial models such as GPT-4o-mini in benchmarks, and with the model weights, code, and training data fully open-sourced, DeepAnalyze can be deployed as a proprietary data science assistant.

Mem0's OpenMemory MCP is a locally-run "memory backpack" solution designed to solve the problem of contextual information loss between different AI tools. The system allows AI applications such as Claude and Cursor to share memories through a standardized protocol, with all data stored locally on the device to ensure privacy and security. Core features include structured memory organization, user permission control, and cross-platform compatibility, supporting seamless workflows in a variety of scenarios from project collaboration to content creation. The project is currently open-sourced on GitHub, with future plans to add features such as memory expiration and cloud backup.OpenMemory MCP significantly improves the efficiency and experience of collaborating with multiple AI tools by maintaining contextual continuity.