#typescript #ai_coding #ai_developer_tools #chatgpt #claude #gemini #sonnet #vscode #vscode_extension
Kilo Code is a free, open-source AI extension for Visual Studio Code that helps you write and manage code faster by generating code from natural language, automating repetitive tasks, and improving existing code. It uses advanced AI models like GPT-5 and Gemini 2.5 Pro, and you get $20 in free credits to try them. It also supports multiple modes for planning, coding, and debugging, plus a marketplace to add extra tools. You just install it from the VS Code Marketplace, sign in, and start coding with AI that adapts to your workflow, saving you time and effort on boring tasks.
https://github.com/Kilo-Org/kilocode
Kilo Code is a free, open-source AI extension for Visual Studio Code that helps you write and manage code faster by generating code from natural language, automating repetitive tasks, and improving existing code. It uses advanced AI models like GPT-5 and Gemini 2.5 Pro, and you get $20 in free credits to try them. It also supports multiple modes for planning, coding, and debugging, plus a marketplace to add extra tools. You just install it from the VS Code Marketplace, sign in, and start coding with AI that adapts to your workflow, saving you time and effort on boring tasks.
https://github.com/Kilo-Org/kilocode
GitHub
GitHub - Kilo-Org/kilocode: Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most…
Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent. #1 on OpenRouter. 750k+ Kilo Coders. 6.1 trillion tokens/month. ...
#python
XLeRobot is a low-cost, easy-to-assemble household robot platform starting at about $660, designed for general manipulation tasks with dual arms and mobile capability. It supports various camera options and can be controlled via keyboard, Xbox controller, or VR devices without Wi-Fi, offering zero latency. The project provides detailed guides for buying parts, 3D printing, assembly, and software setup, making it accessible for robotics enthusiasts and learners. This robot helps you explore embodied AI affordably, enabling hands-on experience with autonomous household tasks and robotics research, all backed by active development and community support.
https://github.com/Vector-Wangel/XLeRobot
XLeRobot is a low-cost, easy-to-assemble household robot platform starting at about $660, designed for general manipulation tasks with dual arms and mobile capability. It supports various camera options and can be controlled via keyboard, Xbox controller, or VR devices without Wi-Fi, offering zero latency. The project provides detailed guides for buying parts, 3D printing, assembly, and software setup, making it accessible for robotics enthusiasts and learners. This robot helps you explore embodied AI affordably, enabling hands-on experience with autonomous household tasks and robotics research, all backed by active development and community support.
https://github.com/Vector-Wangel/XLeRobot
GitHub
GitHub - Vector-Wangel/XLeRobot: XLeRobot: Practical Dual-Arm Mobile Home Robot for $660
XLeRobot: Practical Dual-Arm Mobile Home Robot for $660 - Vector-Wangel/XLeRobot
#html
You get access to a huge, well-organized collection of 2,053 ready-to-use n8n automation workflows covering 365 different services, all searchable instantly with a super fast, mobile-friendly documentation system. This system offers lightning-fast full-text search, smart categorization by service and use case, and clear, meaningful workflow names, making it easy to find exactly what you need. You can run the documentation locally with simple setup steps, explore workflows by category or complexity, and even download or visualize them. This saves you time and effort in building automations, helps you discover proven workflows quickly, and supports efficient workflow management and customization.
https://github.com/Zie619/n8n-workflows
You get access to a huge, well-organized collection of 2,053 ready-to-use n8n automation workflows covering 365 different services, all searchable instantly with a super fast, mobile-friendly documentation system. This system offers lightning-fast full-text search, smart categorization by service and use case, and clear, meaningful workflow names, making it easy to find exactly what you need. You can run the documentation locally with simple setup steps, explore workflows by category or complexity, and even download or visualize them. This saves you time and effort in building automations, helps you discover proven workflows quickly, and supports efficient workflow management and customization.
https://github.com/Zie619/n8n-workflows
GitHub
GitHub - Zie619/n8n-workflows: all of the workflows of n8n i could find (also from the site itself)
all of the workflows of n8n i could find (also from the site itself) - Zie619/n8n-workflows
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#typescript #agent #ai #aiagent #aiimage #aiimagegenerator #aitool #aitools #canva #comfyui #flux #stable_diffusion
Jaaz.app is a free, open-source creative tool like Canva that works locally on your computer, keeping your data private. It lets you create images and videos quickly using AI by simply sketching or describing what you want, without needing to write complex prompts. You can plan scenes on an unlimited canvas, collaborate in real time, and use smart AI agents to add objects or styles. It supports offline use and works on Windows and Mac. This means you get powerful, privacy-focused design and video creation without relying on the internet or risking your data security.
https://github.com/11cafe/jaaz
Jaaz.app is a free, open-source creative tool like Canva that works locally on your computer, keeping your data private. It lets you create images and videos quickly using AI by simply sketching or describing what you want, without needing to write complex prompts. You can plan scenes on an unlimited canvas, collaborate in real time, and use smart AI agents to add objects or styles. It supports offline use and works on Windows and Mac. This means you get powerful, privacy-focused design and video creation without relying on the internet or risking your data security.
https://github.com/11cafe/jaaz
GitHub
GitHub - 11cafe/jaaz: The world's first open-source multimodal creative assistant This is a substitute for Canva and Manus that…
The world's first open-source multimodal creative assistant This is a substitute for Canva and Manus that prioritizes privacy and is usable locally. - 11cafe/jaaz
#typescript #examples #nextjs #vercel
Vercel offers ready-to-use templates and examples that help you quickly start web projects with best practices and optimized settings, especially for frameworks like Next.js. These templates save you time by handling setup and deployment details, letting you focus on coding. You can also contribute your own examples easily using provided commands and guidelines. Vercel automatically checks your code style and quality before commits, ensuring clean code. Plus, it integrates with Git and runs tests before deployment to catch bugs early. This makes building, deploying, and maintaining fast, reliable web apps much easier and faster for you.
https://github.com/vercel/examples
Vercel offers ready-to-use templates and examples that help you quickly start web projects with best practices and optimized settings, especially for frameworks like Next.js. These templates save you time by handling setup and deployment details, letting you focus on coding. You can also contribute your own examples easily using provided commands and guidelines. Vercel automatically checks your code style and quality before commits, ensuring clean code. Plus, it integrates with Git and runs tests before deployment to catch bugs early. This makes building, deploying, and maintaining fast, reliable web apps much easier and faster for you.
https://github.com/vercel/examples
#python #agent #llms
AutoAgent lets you create and use powerful AI agents easily by just using natural language—no coding needed. It supports many large language models (LLMs) like OpenAI and Anthropic, and performs as well as top research AI systems on benchmarks. You can build tools, agents, and workflows quickly, manage data efficiently with its built-in vector database, and interact flexibly through different modes. It’s lightweight, customizable, and cost-effective, making it a personal AI assistant that helps automate complex tasks simply and efficiently. This saves you time and technical effort while giving you advanced AI capabilities.
https://github.com/HKUDS/AutoAgent
AutoAgent lets you create and use powerful AI agents easily by just using natural language—no coding needed. It supports many large language models (LLMs) like OpenAI and Anthropic, and performs as well as top research AI systems on benchmarks. You can build tools, agents, and workflows quickly, manage data efficiently with its built-in vector database, and interact flexibly through different modes. It’s lightweight, customizable, and cost-effective, making it a personal AI assistant that helps automate complex tasks simply and efficiently. This saves you time and technical effort while giving you advanced AI capabilities.
https://github.com/HKUDS/AutoAgent
GitHub
GitHub - HKUDS/AutoAgent: "AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework" - HKUDS/AutoAgent
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#scala
X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X.
https://github.com/twitter/the-algorithm
X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X.
https://github.com/twitter/the-algorithm
GitHub
GitHub - twitter/the-algorithm: Source code for the X Recommendation Algorithm
Source code for the X Recommendation Algorithm. Contribute to twitter/the-algorithm development by creating an account on GitHub.
#typescript #ai #nocode #oss #synthetic_data
Hugging Face AI Sheets is a free, no-code tool that lets you create, improve, and change datasets easily using AI models through a spreadsheet-like interface. You can start with your own data or generate new data by writing simple prompts. It supports thousands of open AI models and works locally or online. You can clean data, classify text, add missing info, or create synthetic data without coding. It also lets you compare different AI models and improve results by editing outputs. This tool helps you save time and effort in managing data and testing AI models quickly and flexibly.
https://github.com/huggingface/aisheets
Hugging Face AI Sheets is a free, no-code tool that lets you create, improve, and change datasets easily using AI models through a spreadsheet-like interface. You can start with your own data or generate new data by writing simple prompts. It supports thousands of open AI models and works locally or online. You can clean data, classify text, add missing info, or create synthetic data without coding. It also lets you compare different AI models and improve results by editing outputs. This tool helps you save time and effort in managing data and testing AI models quickly and flexibly.
https://github.com/huggingface/aisheets
GitHub
GitHub - huggingface/aisheets: Build, enrich, and transform datasets using AI models with no code
Build, enrich, and transform datasets using AI models with no code - huggingface/aisheets
#python
BlenderMCP connects Blender with Claude AI, letting you control 3D modeling and scene creation using simple text commands. You can create, modify, and delete objects, apply materials, adjust lighting, and even run Python scripts inside Blender through AI. It also supports downloading assets from Poly Haven and generating models with Hyper3D Rodin. This makes 3D design faster, easier, and more interactive, especially if you want to break down complex tasks or work step-by-step. It works on multiple platforms and integrates with tools like Visual Studio Code and Cursor for smooth workflows. Just install the Blender addon and set up the MCP server to start using AI-assisted 3D modeling.
https://github.com/ahujasid/blender-mcp
BlenderMCP connects Blender with Claude AI, letting you control 3D modeling and scene creation using simple text commands. You can create, modify, and delete objects, apply materials, adjust lighting, and even run Python scripts inside Blender through AI. It also supports downloading assets from Poly Haven and generating models with Hyper3D Rodin. This makes 3D design faster, easier, and more interactive, especially if you want to break down complex tasks or work step-by-step. It works on multiple platforms and integrates with tools like Visual Studio Code and Cursor for smooth workflows. Just install the Blender addon and set up the MCP server to start using AI-assisted 3D modeling.
https://github.com/ahujasid/blender-mcp
GitHub
GitHub - ahujasid/blender-mcp
Contribute to ahujasid/blender-mcp development by creating an account on GitHub.
#javascript #ansi #ansi_escape_codes #chalk #cli #color #commandline #console #javascript #strip_ansi #terminal #terminal_emulators
Chalk is a popular Node.js tool that lets you easily add colors and styles to text in the terminal, making your console output clearer and more attractive. It supports many colors, including 256 and truecolor (millions of colors), and allows you to combine and nest styles like bold, underline, and background colors. Chalk auto-detects if your terminal supports colors and works without adding dependencies or changing built-in string behavior. You can create custom themes and use template literals for dynamic, colorful logs. This helps you highlight important information in your terminal output, improving readability and debugging. Chalk is reliable, actively maintained, and widely used in many projects.
https://github.com/chalk/chalk
Chalk is a popular Node.js tool that lets you easily add colors and styles to text in the terminal, making your console output clearer and more attractive. It supports many colors, including 256 and truecolor (millions of colors), and allows you to combine and nest styles like bold, underline, and background colors. Chalk auto-detects if your terminal supports colors and works without adding dependencies or changing built-in string behavior. You can create custom themes and use template literals for dynamic, colorful logs. This helps you highlight important information in your terminal output, improving readability and debugging. Chalk is reliable, actively maintained, and widely used in many projects.
https://github.com/chalk/chalk
GitHub
GitHub - chalk/chalk: 🖍 Terminal string styling done right
🖍 Terminal string styling done right. Contribute to chalk/chalk development by creating an account on GitHub.
#javascript
Ripple is a new TypeScript UI framework that combines the best ideas from React, Solid, and Svelte to create a fast, reactive, and easy-to-use system for building web interfaces. It uses special `$`-prefixed variables for automatic reactive updates, supports clean reusable components with JSX-like syntax, and offers strong TypeScript integration with helpful VSCode tools. Ripple also includes reactive arrays, maps, and sets, making state management intuitive. Although still in early development and not ready for production, Ripple aims to improve developer experience and performance with fine-grain rendering and scoped CSS styling, helping you build modern web apps more efficiently.
https://github.com/trueadm/ripple
Ripple is a new TypeScript UI framework that combines the best ideas from React, Solid, and Svelte to create a fast, reactive, and easy-to-use system for building web interfaces. It uses special `$`-prefixed variables for automatic reactive updates, supports clean reusable components with JSX-like syntax, and offers strong TypeScript integration with helpful VSCode tools. Ripple also includes reactive arrays, maps, and sets, making state management intuitive. Although still in early development and not ready for production, Ripple aims to improve developer experience and performance with fine-grain rendering and scoped CSS styling, helping you build modern web apps more efficiently.
https://github.com/trueadm/ripple
GitHub
GitHub - Ripple-TS/ripple: the elegant TypeScript UI framework
the elegant TypeScript UI framework. Contribute to Ripple-TS/ripple development by creating an account on GitHub.
#typescript #design #docs #gatsby #handbook #posthog #tailwindcss
PostHog.com is the website and code repository for PostHog, an open-source product analytics platform that helps you track user behavior, test new features, and improve your product all in one place. You can run the website locally by installing Node and Yarn, cloning the repo, and starting the development server. The site includes product docs, blogs, tutorials, and tools like job listings and pricing calculators. This setup lets you customize and contribute to the site easily, making it useful if you want to understand or improve PostHog’s platform or help develop its content and features. It supports collaboration and learning for developers and product teams.
https://github.com/PostHog/posthog.com
PostHog.com is the website and code repository for PostHog, an open-source product analytics platform that helps you track user behavior, test new features, and improve your product all in one place. You can run the website locally by installing Node and Yarn, cloning the repo, and starting the development server. The site includes product docs, blogs, tutorials, and tools like job listings and pricing calculators. This setup lets you customize and contribute to the site easily, making it useful if you want to understand or improve PostHog’s platform or help develop its content and features. It supports collaboration and learning for developers and product teams.
https://github.com/PostHog/posthog.com
GitHub
GitHub - PostHog/posthog.com: Official docs, website, and handbook for PostHog.
Official docs, website, and handbook for PostHog. Contribute to PostHog/posthog.com development by creating an account on GitHub.
#typescript
Codebuff is an open-source AI coding assistant that helps you edit your entire codebase using simple natural language commands. It uses multiple specialized AI agents that work together to understand your project, plan changes, make precise edits, and review them for accuracy. This multi-agent system makes Codebuff more accurate and reliable than single-model tools, improving coding speed and reducing errors. You can install it easily via npm and start giving commands like "fix SQL injection" or "add rate limiting," and it will automatically find and update the right files while running tests to ensure nothing breaks. It also lets you create custom agents and integrate AI coding help directly into your projects, boosting productivity and simplifying complex coding tasks.
https://github.com/CodebuffAI/codebuff
Codebuff is an open-source AI coding assistant that helps you edit your entire codebase using simple natural language commands. It uses multiple specialized AI agents that work together to understand your project, plan changes, make precise edits, and review them for accuracy. This multi-agent system makes Codebuff more accurate and reliable than single-model tools, improving coding speed and reducing errors. You can install it easily via npm and start giving commands like "fix SQL injection" or "add rate limiting," and it will automatically find and update the right files while running tests to ensure nothing breaks. It also lets you create custom agents and integrate AI coding help directly into your projects, boosting productivity and simplifying complex coding tasks.
https://github.com/CodebuffAI/codebuff
GitHub
GitHub - CodebuffAI/codebuff: Generate code from the terminal!
Generate code from the terminal! Contribute to CodebuffAI/codebuff development by creating an account on GitHub.
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#python
ROMA is an open-source framework that helps you build smart multi-agent AI systems by breaking big, complex tasks into smaller parts that agents can work on at the same time. It uses a clear, step-by-step process where tasks are split, solved, and combined, making it easy to understand and fix problems. You can connect any AI model or tool, and it supports secure code execution and fast data access. This means you can create powerful, flexible AI agents for research, analysis, or other tasks, with full control and transparency over how they work, saving you time and effort in solving complex problems.
https://github.com/sentient-agi/ROMA
ROMA is an open-source framework that helps you build smart multi-agent AI systems by breaking big, complex tasks into smaller parts that agents can work on at the same time. It uses a clear, step-by-step process where tasks are split, solved, and combined, making it easy to understand and fix problems. You can connect any AI model or tool, and it supports secure code execution and fast data access. This means you can create powerful, flexible AI agents for research, analysis, or other tasks, with full control and transparency over how they work, saving you time and effort in solving complex problems.
https://github.com/sentient-agi/ROMA
GitHub
GitHub - sentient-agi/ROMA: Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent…
Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent systems. - sentient-agi/ROMA
#java #android #dalvik #kotlin #patches #revanced #reverse_engineering
ReVanced Patches let you customize Android apps by adding new features, blocking ads, changing how apps look, and more. You can remove annoying ads, personalize app themes, enable background playback, and unlock extra controls. Using tools like ReVanced Manager, you can easily apply these patches without technical hassle. This means you get a cleaner, more enjoyable app experience, especially for apps like YouTube, without paying for premium versions. It also supports ongoing updates and a community that keeps improving it, so your apps stay fresh and tailored to your needs.
https://github.com/ReVanced/revanced-patches
ReVanced Patches let you customize Android apps by adding new features, blocking ads, changing how apps look, and more. You can remove annoying ads, personalize app themes, enable background playback, and unlock extra controls. Using tools like ReVanced Manager, you can easily apply these patches without technical hassle. This means you get a cleaner, more enjoyable app experience, especially for apps like YouTube, without paying for premium versions. It also supports ongoing updates and a community that keeps improving it, so your apps stay fresh and tailored to your needs.
https://github.com/ReVanced/revanced-patches
GitHub
GitHub - ReVanced/revanced-patches: 🧩 Patches for ReVanced
🧩 Patches for ReVanced. Contribute to ReVanced/revanced-patches development by creating an account on GitHub.
#python #large_language_models #machine_learning_systems #natural_language_processing
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
GitHub
GitHub - fla-org/flash-linear-attention: 🚀 Efficient implementations of state-of-the-art linear attention models
🚀 Efficient implementations of state-of-the-art linear attention models - fla-org/flash-linear-attention
#python #agents #ai #llm #mcp
You can access a large collection of ready-to-use AI agent projects and tutorials that help you build smart applications like chatbots, research assistants, and automation tools using popular AI frameworks such as LangChain, OpenAI Agents SDK, and Agno. This collection includes simple starter agents, advanced multi-agent workflows, and tools with memory and document understanding. It also offers step-by-step setup instructions and video tutorials to help you learn quickly. Using these resources saves you time and effort in creating powerful AI apps, making it easier to develop, test, and deploy AI solutions even if you are new to AI programming.
https://github.com/Arindam200/awesome-ai-apps
You can access a large collection of ready-to-use AI agent projects and tutorials that help you build smart applications like chatbots, research assistants, and automation tools using popular AI frameworks such as LangChain, OpenAI Agents SDK, and Agno. This collection includes simple starter agents, advanced multi-agent workflows, and tools with memory and document understanding. It also offers step-by-step setup instructions and video tutorials to help you learn quickly. Using these resources saves you time and effort in creating powerful AI apps, making it easier to develop, test, and deploy AI solutions even if you are new to AI programming.
https://github.com/Arindam200/awesome-ai-apps
GitHub
GitHub - Arindam200/awesome-ai-apps: A collection of projects showcasing RAG, agents, workflows, and other AI use cases
A collection of projects showcasing RAG, agents, workflows, and other AI use cases - Arindam200/awesome-ai-apps
#python #llms #mlx
MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed.
https://github.com/ml-explore/mlx-lm
MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed.
https://github.com/ml-explore/mlx-lm
GitHub
GitHub - ml-explore/mlx-lm: Run LLMs with MLX
Run LLMs with MLX. Contribute to ml-explore/mlx-lm development by creating an account on GitHub.
#go
The Docker MCP Gateway helps you run and manage AI tools called MCP servers securely and easily using Docker containers. It acts as a single, safe gateway that connects AI applications to many MCP servers, handling authentication, secrets, and OAuth securely without exposing sensitive data. You can start, configure, and monitor these servers with simple commands, ensuring isolation and control. This setup lets you develop, test, and deploy AI tools faster while keeping your environment secure and consistent across different clients. It also supports automatic discovery of tools and detailed logging for better oversight. This benefits you by simplifying AI tool management and improving security in your projects.
https://github.com/docker/mcp-gateway
The Docker MCP Gateway helps you run and manage AI tools called MCP servers securely and easily using Docker containers. It acts as a single, safe gateway that connects AI applications to many MCP servers, handling authentication, secrets, and OAuth securely without exposing sensitive data. You can start, configure, and monitor these servers with simple commands, ensuring isolation and control. This setup lets you develop, test, and deploy AI tools faster while keeping your environment secure and consistent across different clients. It also supports automatic discovery of tools and detailed logging for better oversight. This benefits you by simplifying AI tool management and improving security in your projects.
https://github.com/docker/mcp-gateway
GitHub
GitHub - docker/mcp-gateway: docker mcp CLI plugin / MCP Gateway
docker mcp CLI plugin / MCP Gateway. Contribute to docker/mcp-gateway development by creating an account on GitHub.
#javascript #gaia #general_purpose #multiagent_systems #multimodel
DeepResearchAgent is a smart system that uses a top-level planner to break down big tasks into smaller parts and assigns them to specialized agents like analyzers, researchers, and browser tools. It can deeply analyze data, do thorough research, and automatically gather up-to-date information from the web. It supports many AI models and tools, including image and video generation, and runs tasks efficiently with asynchronous operations. This system helps you get detailed, well-organized research results faster and with less effort by automating complex, multi-step tasks and combining many AI capabilities in one framework.
https://github.com/SkyworkAI/DeepResearchAgent
DeepResearchAgent is a smart system that uses a top-level planner to break down big tasks into smaller parts and assigns them to specialized agents like analyzers, researchers, and browser tools. It can deeply analyze data, do thorough research, and automatically gather up-to-date information from the web. It supports many AI models and tools, including image and video generation, and runs tasks efficiently with asynchronous operations. This system helps you get detailed, well-organized research results faster and with less effort by automating complex, multi-step tasks and combining many AI capabilities in one framework.
https://github.com/SkyworkAI/DeepResearchAgent
GitHub
GitHub - SkyworkAI/DeepResearchAgent: DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research…
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coo...