276kJavaScript+1.0k/daypushed 0d ago
Use it for: Improve coding agents like Claude Code, Codex, Opencode and Cursor with skills, memory, security and research-first workflows.
Quick start
- Install only from official sources: the GitHub repo, the npm packages ecc-universal and ecc-agentshield, or the plugin slug ecc@ecc
- Use the guided setup or the native Claude Code plugin commands (choose one, don't stack both)
- Follow the README install section for your harness
- Start a coding session with the skills and memory enabled
252kPython+568/daypushed 0d ago
Use it for: Run a self-improving AI agent that learns skills and remembers you, and talk to it from the terminal or chat apps like Telegram.
Quick start
- Clone the repo and follow the README install section
- Pick a model provider and switch models any time with `hermes model`
- Chat in the terminal interface or connect Telegram, Discord, Slack, WhatsApp or Signal through the gateway
- Set up scheduled tasks in natural language with the built-in cron scheduler
246kTypeScript+4.3k/daypushed 1d ago
Use it for: Run an open-source plugin-based agent harness from DeepSeek AI through a local Web UI.
Quick start
- Install Node.js
- Run: npx @deepseek-ai/dsh web
- Open the Web UI at http://127.0.0.1:3080
- Review the safety notice before use, as it is a developer preview
207kTypeScript+78/daypushed 0d ago
Use it for: Build and run AI agents and automated workflows by combining a visual canvas with custom code, self-hosted or in the cloud.
Quick start
- Make sure Docker is installed
- Run the install script: curl -fsSL https://get.n8n.io | sh
- Or create a volume with: docker volume create n8n_data
- Start the container with: docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n
190kTypeScript+209/daypushed 0d ago
Use it for: Search, scrape and crawl websites into clean markdown or structured JSON so AI agents and apps can use web data.
Quick start
- Sign up for the hosted service or clone the repo to self-host
- Get an API key and pick an endpoint: Search, Scrape or Interact
- Send a URL and get back markdown, HTML, screenshots or JSON
- Optionally connect Firecrawl to an AI agent or MCP client with a single command
187kPython+144/daypushed 0d ago
Use it for: Build, deploy and run AI agents that carry out complete workflows, using plain-English descriptions or a visual block builder.
Quick start
- Open the hosted AutoGPT Platform and sign up, or follow the self-host docs
- Describe the job in plain English in AutoPilot, or use the visual Build editor
- Run the agent on demand, on a schedule, or from a trigger
- Browse the Marketplace to start from a ready-made agent
Models & InferenceBeginner
183kGo+152/daypushed 0d ago
Use it for: Download and run open models like Qwen, DeepSeek, Gemma and gpt-oss locally, and connect them to coding agents and apps.
Quick start
- Install on macOS or Linux with `curl -fsSL https://ollama.com/install.sh | sh` (Windows: `irm https://ollama.com/install.ps1 | iex`)
- Run `ollama` and choose a model to run or an app to connect
- Launch an integration such as `ollama launch claude`
- Use `ollama launch openclaw` for a personal assistant across chat apps
172kHTML+123/daypushed 1d ago
Use it for: Browse, share and collect community prompts for ChatGPT, Claude, Gemini and other AI models, or self-host your own prompt library.
Quick start
- Browse prompts at prompts.chat or in the PROMPTS.md file
- Copy a prompt into your preferred AI chat assistant
- Add your own prompts at prompts.chat/prompts/new
- Follow the README self-hosting section to run it privately for your organization
167kPython+58/daypushed 0d ago
Use it for: Use and train state-of-the-art pretrained models for text, vision, audio, video and multimodal tasks from the Hugging Face Hub.
Quick start
- Make sure you have Python 3.10+ and PyTorch 2.6+
- Create and activate a virtual environment
- Follow the README installation section to install transformers
- Pick a model checkpoint from the Hugging Face Hub and run inference or training
Image & VideoIntermediate
165kPython+109/daypushed 222d ago
Use it for: Generate and edit images locally through a browser interface for Stable Diffusion, with txt2img, img2img, inpainting and upscaling.
Quick start
- Install Python and Git
- Clone the repo and follow the README install instructions
- Run the one-click install and run script
- Open the web UI and try txt2img or img2img
160kJavaScript+1.3k/daypushed 1d ago
Use it for: Make your AI coding agent write less, simpler code by reusing what exists, without cutting validation, security or error handling.
Quick start
- Clone the repo and follow the README install section for your agent (e.g. Claude Code)
- Enable the Ponytail skill or plugin in your coding agent
- Ask your agent to build a feature as usual
- Compare the output size and review the code it produced
159kJavaScript+52/daypushed 6d ago
Use it for: Study for Java and backend interviews with guides covering computer fundamentals, databases, distributed systems, system design, and AI application development.
Quick start
- Read the guide online at javaguide.cn
- Follow the Java backend interview preparation plan in the README
- Use the AI application development interview guide for LLM, Agent, RAG, and MCP topics
158kTypeScript+124/daypushed 0d ago
Use it for: Build and ship AI apps with visual workflows, RAG pipelines, agents and model management in one self-hostable workspace.
Quick start
- Make sure Docker and Docker Compose v2.24.0+ are installed (2 CPU cores, 4 GiB RAM minimum)
- Run `cd dify`, `cd docker`, and `cp .env.example .env`
- Start the server with `docker compose up -d`
- Open http://localhost/install in your browser and complete initialization
155kPython+116/daypushed 0d ago
Use it for: Visually build and deploy AI agents and workflows, then expose them as APIs or MCP servers for use in other applications.
Quick start
- Install Langflow by following the README install section
- Open the visual builder and assemble a flow from components
- Test the flow in the interactive playground
- Deploy it as an API or MCP server, or export it as JSON
154kPython+140/daypushed 0d ago
Use it for: Chat with local or cloud AI models in a self-hosted, offline-capable web interface that works with Ollama and OpenAI-compatible APIs.
Quick start
- Clone the repo and follow the README install section
- Start the server, using Docker if the README recommends it
- Connect Ollama or an OpenAI-compatible API in the settings
- Open the web interface and start chatting with a model
147kPython+101/daypushed 0d ago
Use it for: Build agents and LLM-powered applications by chaining together interoperable components and third-party model integrations.
Quick start
- Install the package with: uv add langchain
- Import init_chat_model from langchain.chat_models and create a model
- Call model.invoke("Hello, world!") to get a response
- Explore LangGraph or Deep Agents in the docs for more advanced agent workflows
142kRust+329/daypushed 0d ago
Use it for: Manage API providers, MCP, Skills, and Prompts for Claude Code, Codex, OpenCode and other AI coding tools from one desktop app.
Quick start
- Download the app for Windows, macOS, or Linux from the releases page
- Install it and open the Quick Start section of the README
- Add your API providers and switch between them in one click
- Manage MCP, Skills, and Prompts in the app instead of editing config files
141kPython+158/daypushed 9d ago
Use it for: Run and adapt over 100 open-source AI agents, agent skills and RAG app templates as starting points for your own projects.
Quick start
- Run `git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git`
- Run `cd awesome-llm-apps/starter_ai_agents/ai_travel_agent`
- Run `pip install -r requirements.txt`
- Run `streamlit run travel_agent.py`
Image & VideoIntermediate
137kPython+100/daypushed 0d ago
Use it for: Build and run diffusion-model workflows for AI content creation using a modular graph and node interface.
Quick start
- Clone the repo or download a release and follow the README install section
- Download a model checkpoint and place it in the models folder
- Launch ComfyUI and open the node graph in your browser
- Connect nodes and queue a generation
129kPython+137/daypushed 1d ago
Use it for: Generate high-definition short videos automatically from a topic or keyword, including script, footage, subtitles and background music.
Quick start
- Download the latest release or clone the repo
- Follow the README install section to set up Python 3.11+ and dependencies
- Configure your LLM provider settings
- Open the WebUI, enter a topic or keyword, and generate a video
125kTypeScript+91/daypushed 0d ago
Use it for: Build your own customizable, accessible UI component library using composable components whose code you own and can edit.
Quick start
- Visit https://ui.shadcn.com/docs to read the documentation
- Follow the docs to set up the components in your project
- Customize and extend the component code to fit your design
125kPython+660/daypushed 0d ago
Use it for: Turn a codebase, docs, schemas and PDFs into a queryable knowledge graph you can search instead of grepping through files.
Quick start
- Clone the repo and follow the README install section for your AI coding assistant
- Open your project in Claude Code, Cursor, Codex or Gemini CLI
- Type /graphify to map the project into a knowledge graph
- Query the graph, trace paths between things, or explain a concept
121kJupyter Notebook+100/daypushed 2d ago
Use it for: Learn how to build generative AI applications through a 21-lesson beginner-friendly course.
Quick start
- Clone the repo or open it on GitHub
- Start with the first lesson in the course
- Work through the lessons in order and run the code examples
117kPython+166/daypushed 0d ago
Use it for: Let AI agents operate a web browser like a human to complete tasks such as filling forms and booking appointments.
Quick start
- Pick a path: hosted cloud, CLI, or the Python library
- For the CLI, install browser-use with uv on Python 3.12 and run: browser-use skill install
- Or run the open-source agent locally from your own Python code
- Give the agent a web task and watch it navigate the browser
111kGo+588/daypushed 1d ago
Use it for: Cut token usage of coding agents by making them respond tersely, using a skill and a proxy while keeping code exact.
Quick start
- Clone the repo and follow the README Install section
- Choose the skill or the proxy depending on your needs
- Use commands like /caveman in your coding agent
- Compare token usage and answers against normal output
107kTypeScript+199/daypushed 0d ago
Use it for: Use Gemini as an AI agent directly in your terminal, with built-in tools, Google Search grounding and MCP extensibility.
Quick start
- See the README installation docs for how to install Gemini CLI
- Sign in with a personal Google account to use the free tier
- Launch it in your terminal and enter a prompt
- Add MCP servers for custom integrations if needed
Models & InferenceAdvanced
106kJupyter Notebook+91/daypushed 7d ago
Use it for: Learn how large language models work by coding, pretraining and finetuning a GPT-like model in PyTorch step by step.
Quick start
- git clone --depth 1 https://github.com/rasbt/LLMs-from-scratch.git
- Read the table of contents in the README
- Follow the book chapters alongside the code, step by step
99.0kTypeScript+245/daypushed 1d ago
Use it for: Give coding agents persistent memory by capturing session activity, compressing it, and injecting relevant context into future sessions.
Quick start
- Run the install command from the Quick Start, e.g. npx claude-mem install --ide grok-bot
- Choose the IDE or agent integration you use
- Work in your agent as usual so observations are captured
- Check the docs for search tools and configuration
96.0kn/a+141/daypushed 0d ago
Use it for: Browse a curated list of Model Context Protocol servers that let AI models access files, databases, and APIs.
Quick start
- Open the README and read the 'What is MCP?' section
- Browse the Server Implementations list for a server that fits your need
- Follow that server's own repository for install and setup instructions
94.8kPython+416/daypushed 2d ago
Use it for: Give your AI agent a single CLI to read and search Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu without API fees.
Quick start
- Copy the install prompt from the README, which points to docs/install.md, and send it to your AI agent
- Let the agent install and check the setup
- Ask the agent to read or search a supported platform
- To update later, send the update prompt that points to docs/update.md
91.9kGo+89/daypushed 0d ago
Use it for: Build RAG and agent-based systems that turn complex documents into a context layer for LLMs, with cloud or local deployment.
Quick start
- Try the hosted cloud service at cloud.ragflow.io
- Or follow the Local Deployment section of the README
- Ingest your documents into a dataset
- Use pre-built agent templates to build your AI workflow
90.9kPython+39/daypushed 24d ago
Use it for: Turn PDFs and images into structured text data that LLMs can use, with OCR support for over 100 languages.
Quick start
- Check that you have a supported Python version (3.8 to 3.12)
- Install the paddleocr package following the README install section
- Run OCR or document parsing on a sample image or PDF
- Use the structured output in your LLM or RAG pipeline
88.6kTypeScript+428/daypushed 0d ago
Use it for: Run multiple coding agents like Codex, Claude Code or OpenCode in parallel git worktrees and manage them in one app.
Quick start
- Download Orca for desktop, or the iOS/Android mobile companion
- Connect your own coding agent subscription
- Open a project and fan a prompt across agents in separate worktrees
- Compare results, review diffs, and merge the best one
88.1kTypeScript+321/daypushed 0d ago
Use it for: Watch a real-time dashboard of global news, geopolitical events, and infrastructure, with AI-synthesized briefs and map views.
Quick start
- Clone the repo and follow the README install section
- Start the dashboard locally
- Explore the news feeds, 3D globe, and flat map panels
86.5kPython+119/daypushed 1d ago
Use it for: Scrape websites with Python, from a single request to full crawls, with anti-bot bypass and selectors that adapt when pages change.
Quick start
- Install Scrapling by following the README install section
- Import a fetcher such as StealthyFetcher from scrapling.fetchers
- Fetch a page and select elements with p.css(...), using adaptive=True to survive site changes
- Scale up to full crawls with the spiders framework
85.1kPython+96/daypushed 4d ago
Use it for: Crawl websites and turn them into clean Markdown that is ready for LLMs, RAG pipelines, and AI agents.
Quick start
- Install the package with: pip install -U crawl4ai
- Run the one-time browser setup: crawl4ai-setup
- Use AsyncWebCrawler in a Python script and call crawler.arun(url=...)
- Print result.markdown to see the clean output
83.6kPython+160/daypushed 0d ago
Use it for: Run a long-horizon super agent that researches, codes, and creates, using sandboxes, memory, tools, skills, and sub-agents.
Quick start
- Clone the repo and check the requirements (Python 3.12+, Node.js 22+)
- Follow the README install and configuration section
- Configure your model and API keys as the README describes
- Start the app and give it a research or coding task
83.1kTypeScript+67/daypushed 0d ago
Use it for: Organize multiple AI agents into a team that runs around the clock, with hiring, scheduling and reporting handled for you.
Quick start
- Visit the official site or documentation to see the available ways to get started
- Clone the repo and follow the README install section if you want to self-host
- Create or hire agents and set their schedules
- Check the reports to monitor your AI team
82.8kRust+318/daypushed 0d ago
Use it for: Cut the token cost of AI coding agents by compressing the output of common command-line commands before it reaches the model.
Quick start
- Install with `brew install rtk` (or use the winget, curl or cargo options)
- On Linux/macOS, add ~/.local/bin to your PATH if needed
- Follow the README to set up the hook for your AI coding agent
- Run your agent as usual and let rtk filter command output
82.2kPython+207/daypushed 2d ago
Use it for: Learn how AI agents work and build your own through a free Chinese-language tutorial covering theory and hands-on projects.
Quick start
- Read the tutorial online at the project's website
- Or clone the repo and follow the local reading guide
- Work through the chapters in order, starting with the foreword and chapter 1
- Build the practical projects such as the travel assistant
81.2kJavaScript+457/daypushed 0d ago
Use it for: Have your coding agent turn an idea, plan, or codebase into an interactive diagram you can explore and share.
Quick start
- Install the skill with: npx skills add tt-a1i/archify -g
- Ask your agent to use Archify to diagram your idea or repository
- Refine the result with follow-up requests, such as adding authentication or switching to the light theme
80.9kGo+17/daypushed 0d ago
Use it for: Monitor servers and infrastructure in real time with per-second metrics, anomaly detection and alerting, with little setup.
Quick start
- Open the Getting Started section of the README
- Install Netdata on a Linux, macOS, FreeBSD or Windows system
- Open the dashboard to view per-second metrics
- Set up alerts and explore the docs for more options
78.9kMDX+57/daypushed 212d ago
Use it for: Learn prompt engineering, context engineering, RAG and AI agents through guides, papers, lessons and notebooks.
Quick start
- Open the web version of the guide at promptingguide.ai
- Read the guides on prompting techniques
- Try the notebooks and examples with your own LLM
- Explore the papers and resources for deeper study
Models & InferenceIntermediate
77.6kPython+74/daypushed 0d ago
Use it for: Run and train LLMs and diffusion models locally through a desktop app that supports GGUF and MLX models.
Quick start
- Download the Unsloth Desktop app for your OS from unsloth.ai/download or GitHub Releases
- Or install manually on macOS/Linux/WSL: curl -fsSL https://unsloth.ai/install.sh | sh
- On Windows run: irm https://unsloth.ai/install.ps1 | iex
- Open the app and pick a model to run or train
76.8kJupyter Notebook+113/daypushed 0d ago
Use it for: Learn how to start building AI agents through an 18-lesson beginner course.
Quick start
- Clone the repo or open it on GitHub
- Pick your language from the translations list if needed
- Work through the lessons in order, running the examples
76.8kPython+215/daypushed 22d ago
Use it for: Browse a curated list of Claude Skills and plugins, and connect Claude to 1000+ apps to take real actions.
Quick start
- Run `claude --plugin-dir ./connect-apps-plugin` to install the plugin
- Run `/connect-apps:setup` and paste your Composio API key
- Run `exit`, then `claude` to restart
- Browse the Skills list for others to add
74.8kPython+272/daypushed 0d ago
Use it for: Cut the tokens your coding agents and LLM apps use by compressing tool outputs, logs, files and RAG chunks locally.
Quick start
- Follow the Install section of the README
- Run `headroom proxy --port 8787` to start the proxy with no code changes
- Or wrap an agent with `headroom wrap claude`
- Undo the wrap with `headroom unwrap`
69.3kPython+132/daypushed 0d ago
Use it for: Browse a collection of documented system prompts from popular chatbots and AI tools to study how they are instructed.
Quick start
- Open the repo on GitHub
- Browse the files for the provider or model you are interested in
- Read the system prompts and compare approaches
66.9kPython+55/daypushed 1d ago
Use it for: Add persistent long-term memory to AI agents and apps so they remember context across sessions.
Quick start
- Clone the repo and follow the README install section
- Add Mem0 to your agent or app
- Store memories from conversations
- Retrieve relevant memories when the agent responds
66.9kJavaScript+55/daypushed 0d ago
Use it for: Chat with your documents and run AI agents in a private, self-hosted, multi-user app that works with local or cloud LLMs.
Quick start
- Download the desktop app for Mac, Windows or Linux
- Connect a local or cloud LLM of your choice
- Upload your documents
- Start chatting with your docs or use the built-in agents
66.2kPython+323/daypushed 0d ago
Use it for: Learn AI engineering through a 523-lesson, 20-phase curriculum covering model internals, retrieval pipelines and agent runtimes.
Quick start
- Open the Start learning link on the website, beginning with setup and tooling
- Choose a learning route such as model foundations, LLM systems, or agents
- Try a lab or build a project from the challenges
66.1kPython+242/daypushed 5d ago
Use it for: Get daily AI-written stock analysis reports across multiple markets, with news and data, pushed automatically to chat apps or email.
Quick start
- Read the Quick Start section of the README
- Fork the repo or use the Docker image, then add your LLM and data API keys
- Configure your watchlist and notification channels such as WeCom, Telegram or email
- Run it on a schedule with GitHub Actions, Docker or a local job
65.8kPython+339/daypushed 6d ago
Use it for: Turn your AI coding assistant into a video production studio that researches, scripts, generates assets, edits and renders videos from plain-language requests.
Quick start
- Clone the repo and open the Quick Start section of the README
- Install the dependencies and configure the providers you want to use
- Open the project in your AI coding assistant
- Describe the video you want and let the agent run a pipeline
Voice & AudioIntermediate
62.6kPython+63/daypushed 1d ago
Use it for: Clone a voice and train a text-to-speech model from about one minute of voice data using a web UI.
Quick start
- Clone the repo and follow the README install section (Python 3.10-3.12)
- Alternatively, try the Colab training notebook or Docker image
- Launch the WebUI
- Provide a short voice sample and train or run text-to-speech
59.5kPython+317/daypushed 1d ago
Use it for: Give AI assistants a local, searchable memory of your past conversations, stored verbatim and retrieved with semantic search.
Quick start
- Install the mempalace package from PyPI
- Follow the docs at mempalaceofficial.com for setup
- Mine your conversation history into the memory index
- Wire up auto-save hooks if you use Claude Code
58.8kJupyter Notebook+50/daypushed 96d ago
Use it for: Deploy ready-made RAG and enterprise search apps that stay in sync with live data sources like Google Drive, SharePoint, S3, Kafka and PostgreSQL.
Quick start
- Clone the repo and pick an application template that fits your needs
- Connect the template to your data sources such as file system, Google Drive or S3
- Run the template on your own machine, optionally using Docker
- Deploy to a cloud provider (GCP, AWS, Azure, Render) or on-premises
56.2kPython+307/daypushed 0d ago
Use it for: Clone or design voices, dub videos, dictate, transcribe and create audiobooks locally in 646 languages, as a free ElevenLabs alternative.
Quick start
- On macOS or Linux run: curl -fsSL https://voicestudio.sh/install | sh
- On Windows run in PowerShell: irm https://voicestudio.sh/install | iex
- Launch the desktop app
- Choose a workspace such as voice cloning, dubbing or voice design
55.2kPython+209/daypushed 12d ago
Use it for: Rewrite AI-generated text so it reads more like a human wrote it, without changing the meaning.
Quick start
- Install the skill in Claude Code, Codex or another agent that supports skills
- Follow the README install instructions
- Give the agent your AI-written text
- Ask it to humanize the text and review the result
Models & InferenceIntermediate
49.5kGo+38/daypushed 0d ago
Use it for: Run LLMs, vision, voice, image and video models on your own hardware behind one OpenAI-compatible API, even without a GPU.
Quick start
- Open the Quickstart at localai.io/basics/getting_started
- Install LocalAI following the documentation
- Pull a model from the models gallery
- Send requests to the local OpenAI-compatible API
Voice & AudioIntermediate
46.1kPython+20/daypushed 784d ago
Use it for: Generate speech from text with pretrained models in many languages, or train and fine-tune your own text-to-speech models.
Quick start
- Install the TTS package from PyPI (pip install TTS).
- Pick a pretrained model, such as ⓍTTS, from the README or docs.
- Generate speech from text with the library or its command-line tools.
- To customize a voice, follow the example fine-tuning recipes in the repo.
44.1kTypeScript+247/daypushed 0d ago
Use it for: Let AI agents reverse engineer software, from application behavior down to native binaries, through a single MCP server.
Quick start
- Check the Node.js requirements in the README
- Follow the Quick start section to install the rea-agents package
- Register the MCP server with your agent client, such as Claude Code or Codex
- Point the agent at a binary or app and ask it to analyze it
43.0kPython+37/daypushed 0d ago
Use it for: Build, manage and deploy long-running, stateful agents with durable execution, human-in-the-loop control and memory.
Quick start
- pip install -U langgraph
- Read the LangGraph docs on durable execution, memory and interrupts
- Build a stateful agent and debug it with LangSmith
41.7kRust+179/daypushed 0d ago
Use it for: Run and manage large fleets of AI agents cheaply, through a desktop app or a Rust library, even on a small $10 server.
Quick start
- Download the desktop app from the website or the latest GitHub release for your OS
- Or on macOS/Linux run: curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash
- On Windows run in PowerShell: irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex
- Check INSTALL.md for other options and the Rust quickstart if you are a developer
Voice & AudioIntermediate
39.9kPython+46/daypushed 182d ago
Use it for: Turn text into natural-sounding conversational speech in English or Chinese, suited to LLM assistants and dialogue.
Quick start
- Clone the repo or install the ChatTTS package from PyPI.
- Download the model weights from Hugging Face.
- Run the example scripts or the Colab notebook to synthesize dialogue speech.
- Try community end-user projects listed in Awesome-ChatTTS for ready-made apps.
Voice & AudioIntermediate
38.5kPython+99/daypushed 2d ago
Use it for: Generate multilingual speech in 30 languages, design new voices from text descriptions, and clone voices from short reference clips.
Quick start
- Clone the repo and follow the README install section.
- Download the VoxCPM2 model weights as described in the README.
- Enter text, optionally with a voice description or reference audio, to generate 48kHz speech.
- Provide reference audio plus its transcript if you want the most faithful cloning.
Voice & AudioIntermediate
37.8kPython+36/daypushed 538d ago
Use it for: Clone a voice's tone color from a short reference clip and generate speech in multiple languages with controllable style.
Quick start
- Clone the repo and follow the README install section.
- Download the OpenVoice V2 checkpoints as directed in the README.
- Supply a reference voice clip and the text you want spoken.
- Adjust style settings such as emotion, accent, rhythm, and pauses.
Models & InferenceBeginner
37.8kRust+160/daypushed 0d ago
Use it for: Check your CPU, RAM and GPU to see which open-source language models your computer can run well, and at what speed.
Quick start
- Install llmfit for your platform (macOS, Linux or Windows) following the README install section
- Run llmfit so it detects your hardware
- Browse recommended models and quantizations in the terminal interface or web dashboard
- Optionally benchmark a model and share the results via the TUI
Voice & AudioIntermediate
36.9kPython+20/daypushed 220d ago
Use it for: Clone a voice from a few seconds of audio and generate arbitrary speech, with strong Mandarin support.
Quick start
- Install Python 3.7+, PyTorch, and ffmpeg.
- Run pip install -r requirements.txt to install the remaining dependencies.
- Prepare the pretrained models as described in the README.
- Launch the toolbox or web server to clone a voice and synthesize speech.
35.7kGo+208/daypushed 0d ago
Use it for: Have an open-source coding agent read your project, edit files, and run commands and tests with the AI model of your choice.
Quick start
- Install Reasonix or the Studio desktop app by following the README guide
- Configure your model, using the built-in DeepSeek preset or any OpenAI-compatible service
- Open your project folder and describe a task in plain language
- Approve each step, or let it work on its own within the limits you set
Models & InferenceIntermediate
35.5kJupyter Notebook+29/daypushed 1d ago
Use it for: Run very large language models, such as 70B, on a single GPU with as little as 4GB of memory.
Quick start
- Install the airllm package following the Quickstart section
- Load a large model using the example code in the README
- Check the Configurations and MacOS sections for your setup
Models & InferenceIntermediate
34.7kPython+22/daypushed 0d ago
Use it for: Generate images, audio and other outputs in Python using pretrained diffusion models, or train your own diffusion systems.
Quick start
- Create a virtual environment and install PyTorch
- Run: pip install --upgrade diffusers[torch]
- Load a pretrained diffusion pipeline following the README
- Run inference with a prompt to generate output
34.3kPython+212/daypushed 4d ago
Use it for: Convert a technical book PDF or document folder into an agent skill your coding assistant can query chapter by chapter.
Quick start
- Install the skill into your agent (Claude Code, Copilot CLI, etc.) following the README install section
- Point it at a book: /book-to-skill ./my-book.pdf
- Let it distill the book into frameworks, rules and per-chapter files
- Ask your agent about a topic, for example /my-book replication
32.8kGo+74/daypushed 1d ago
Use it for: Turn a team's documents into a searchable knowledge base with RAG Q&A, a multi-step reasoning agent, and an auto-maintained wiki.
Quick start
- Open the Quick Start section of the README
- Deploy the platform by following the README instructions
- Upload documents or connect a data source to create a knowledge base
- Ask questions with RAG, run the agent, or organize content in the wiki
30.3kPython+52/daypushed 3d ago
Use it for: Connect Blender to an LLM so you can create and change 3D models and scenes using text prompts.
Quick start
- Read the Quickstart section of the README
- Install the Blender addon and the mcp-for-blender package, which the README says is run with uvx
- Connect your AI app to the MCP server
- Prompt the LLM to model or modify a scene in Blender
Image & VideoIntermediate
29.9kJavaScript+24/daypushed 1d ago
Use it for: Run a self-hosted studio for generating AI images and videos with 600+ models and no content filters.
Quick start
- Clone the repo and follow the README install section
- Set up the MuAPI access the app is powered by
- Start the app and open one of the studios
- Enter a prompt to generate an image or video
29.8kHTML+30/daypushed 2d ago
Use it for: Browse a curated hub of generative AI courses, research updates, interview prep and notebooks, organized by learning path.
Quick start
- Open the repo README on GitHub
- Pick a journey: Use AI, Build AI, Understand AI, or Interview Prep
- Choose your level (101, 201, or 301) from the grid
- Follow the linked courses, notebooks and resources
Image & VideoIntermediate
28.5kTypeScript+19/daypushed 0d ago
Use it for: Generate, refine and iterate on images with Stable Diffusion models through a web UI, with a canvas and workflow builder.
Quick start
- Check that your hardware is compatible
- Open the Installation and Updates docs linked in the README
- Download and install Invoke following those instructions
- Launch the web UI and start generating images
25.8kn/a+50/daypushed 27d ago
Use it for: Browse and import 280+ ready-made n8n workflow templates to automate Gmail, Slack, Telegram, Google Drive, Notion, OpenAI and other apps.
Quick start
- Open the repo and browse the categories or table of contents for a template that fits your task
- Download the workflow template file you want
- Import it into your n8n instance and connect your own app credentials
- Review, configure and test the workflow before using it
Voice & AudioIntermediate
24.4kPython+40/daypushed 10d ago
Use it for: Clone a voice from a single audio clip and synthesize speech in Chinese, English, Japanese, Spanish or Arabic with emotion and speed control.
Quick start
- Clone the repo and follow the README install section.
- Download the IndexTTS-2.5 model from HuggingFace or ModelScope.
- Provide one reference audio clip and your text.
- Tune emotion, speaking speed, or pronunciation controls as needed.
23.9kPython+29/daypushed 137d ago
Use it for: Synthesize multilingual speech with zero-shot voice cloning, covering inference, training, and deployment, including many Chinese dialects.
Quick start
- Clone the repo and follow the README install section.
- Download a pretrained model such as Fun-CosyVoice 3.0 from ModelScope or HuggingFace.
- Run inference with a text prompt and optional reference voice.
- Use the training and deployment docs to fine-tune or serve the model.
Image & VideoIntermediate
20.6kTypeScript+285/daypushed 0d ago
Use it for: Let AI coding agents clone a viral video as an editable workflow, then swap faces, words and B-roll to make many variants.
Quick start
- Install the skill: npx skills add hypit-ai/hypit -g
- Open your coding agent (e.g. Claude Code or Codex) so it can prepare the Hypit executable
- Drop in a video, start from a template, or describe the video you want
- Configure a model service, either your own API or local models, if you need generation
Voice & AudioIntermediate
19.4kPython+36/daypushed 324d ago
Use it for: Generate realistic English dialogue from a transcript in one pass, including nonverbal sounds like laughter and coughing.
Quick start
- Clone the repo and follow the README install section, or use Hugging Face Transformers.
- Download the Dia-1.6B weights from Hugging Face.
- Write a transcript of moderate length, using non-verbal tags sparingly.
- Optionally condition on reference audio for emotion and tone, then generate the audio.
19.3kPython+17/daypushed 3d ago
Use it for: Translate videos into another language automatically, with speech recognition, subtitle translation, AI dubbing, and audio-video synchronization.
Quick start
- Install on Windows, macOS, or Linux following the README or documentation site.
- Add a video and choose source and target languages.
- Select recognition, translation, and dubbing engines, either local or online APIs.
- Run the workflow to get a video with dubbing and embedded subtitles.
18.7kPython+110/daypushed 0d ago
Use it for: Give your AI agent local workflows to generate 3D CAD models in formats like STEP, GLB and STL.
Quick start
- Check the docs at texttocad.dev for requirements (Python 3.11+, Node.js 20+)
- Install the text-to-cad plugin or skill into your agent
- Ask your agent to generate a 3D model from a text description
- Export the result as STEP, GLB or STL
Image & VideoIntermediate
17.8kPython+205/daypushed 2d ago
Use it for: Rebuild an object from a reference image as a code-only, animation-ready Three.js 3D model without photogrammetry or downloaded assets.
Quick start
- Clone the repo and follow the README install section for your agent such as Claude Code
- Make sure Python 3.10+ is available for the tooling
- Give the agent a reference image of the object
- Review the generated procedural Three.js model and animate it
17.6kTypeScript+6/daypushed 0d ago
Use it for: Run an open-source, privacy-aware personal AI assistant that uses tools, memory, and agent-style planning to complete tasks.
Quick start
- Clone the repo and choose a branch: develop for the 2.0 preview, master for the legacy version.
- Read core/context/LEON.md and ARCHITECTURE.md, since new docs are not ready.
- Follow the README install section to set up Leon.
- Pick smart, controlled, or agent mode to run tasks.
Image & VideoIntermediate
15.9kJupyter Notebook+11/daypushed 298d ago
Use it for: Run a Stable Diffusion web UI in Google Colab notebooks. The repo is outdated and points to a newer project, TostUI.
Quick start
- Pick a version (lite, stable or nightly) and click its Open In Colab badge
- Run the notebook cells to start the WebUI
- Switch to the training or drive branch for DreamBooth/LoRA training or Google Drive installs
- Consider the newer TostUI repo, since this one is no longer updated
14.8kRust+245/daypushed 0d ago
Use it for: Give AI agents a fast, lightweight headless browser to fetch pages, extract content, search the web and automate browser tasks.
Quick start
- Install on Linux/macOS: curl --proto '=https' --tlsv1.2 -fsSL https://github.com/lexmount/moli/releases/latest/download/moli-installer.sh | sh
- Or on Windows use the PowerShell installer from the README
- Fetch a page as Markdown: moli fetch --dump markdown --wait-until done https://example.com
- Or connect through CDP, WebDriver Classic or WebDriver BiDi
13.6kTypeScript+112/daypushed 1d ago
Use it for: Use a terminal-based AI coding assistant that reads and writes code, runs commands, manages Git and remembers your project across sessions.
Quick start
- Visit the project website or README for install instructions
- Install MiMo Code in your terminal
- Open it inside your project and describe a coding task
- Optionally apply for the MiMo Desktop beta
13.6kJavaScript+9/daypushed 709d ago
Use it for: Run Stable Diffusion locally on a Mac with a one-click installer and simple GUI, with no technical setup.
Quick start
- Download the app from diffusionbee.com
- Install and start the application
- Enter a prompt and click generate
- Optionally try image-to-image, inpainting or upscaling
11.8kn/a+8/daypushed 787d ago
Use it for: Browse a curated Chinese-language collection of AI painting resources: platforms, tutorials, deployment guides and news on Stable Diffusion, AnimateDiff and more.
Quick start
- Open the README, in Chinese or English
- Pick a topic such as Stable Cascade, SDXL Turbo or AnimateDiff
- Follow the linked tutorials and workflows
- Try the listed platforms or ComfyUI workflows
11.4kTypeScript+93/daypushed 1d ago
Use it for: Design loops that discover work, hand it to AI coding agents, verify results and keep state, using patterns and CLI tools.
Quick start
- Run: npx @cobusgreyling/loop init . --pattern daily-triage --tool claude
- Run: npx @cobusgreyling/loop doctor .
- Start in report-only mode for the first week
- Read the Quickstart and pattern docs to pick other loops, such as PR Babysitter
11.2kPython+196/daypushed 8d ago
Use it for: Control real Android phones with plain-English instructions to automate workflows and run tests, with logs and screenshots collected from AI coding assistants.
Quick start
- Clone the repo and read the Quick Start section of the README
- Connect an Android device and set up your model access as described
- Describe a task in natural language and run it
- Optionally connect it to Claude Code or Antigravity through MCP to drive devices from your IDE
Image & VideoIntermediate
11.0kTypeScript+134/daypushed 5d ago
Use it for: Have Claude Code or Codex storyboard and animate cinematic product, promo, and launch videos with Remotion using ready-made shot recipes.
Quick start
- Clone the repo and follow the README install section to add the skill to Claude Code or Codex
- Browse the live Gallery to pick shot styles you like
- Point the agent at your product and ask it to make a promo video
- Render the result with the included Remotion template
Models & InferenceAdvanced
11.0kC+++4/daypushed 0d ago
Use it for: Optimize and deploy deep learning models for fast inference on CPUs, Intel GPUs and NPUs, from edge to cloud.
Quick start
- Install OpenVINO from PyPI, Conda, Homebrew or npm, as listed in the README badges
- Read the documentation and tutorials
- Convert a model from PyTorch, TensorFlow, ONNX or another supported framework
- Run inference on your target CPU, GPU or NPU
10.7kPython+89/daypushed 0d ago
Use it for: Orchestrate Claude Code, Codex, Cursor and custom agents in one place, with policies, sandboxing, and live collaboration from any device.
Quick start
- Install the package from PyPI (the omnigent package) or download the macOS desktop app
- Follow the quickstart guide on omnigent.ai to set up your model key or subscription
- Start a session and choose which agents or harnesses to use
- Share the session with teammates or continue it from the browser or phone
10.7kJupyter Notebook+6/daypushed 750d ago
Use it for: Use 50+ AI models, including AI painting, speech synthesis, video frame interpolation and upscaling, OCR and subtitle translation, through free desktop apps.
Quick start
- Download the installer for your OS (Windows, Mac or Linux) from the README table
- Install and open the desktop app
- Choose a tool such as text-to-speech or video upscaling
- Load your content and run it
Image & VideoIntermediate
10.7kPython+9/daypushed 7d ago
Use it for: Generate, inpaint and outpaint images with AI directly inside Krita, with control over selections and reference images.
Quick start
- Download the plugin from the latest release
- Follow the installation guide at docs.interstice.cloud
- Open Krita and enable the plugin
- Select an area, optionally add a prompt, and generate locally or in the cloud
9.8kTypeScript+99/daypushed 0d ago
Use it for: Give coding agents like Claude Code, Cursor, and Codex a code graph of your codebase so they work faster and cheaper.
Quick start
- Run: npm install -g @nanonets/graft
- Run: graft init in your project
- Connect it to your coding agent through the MCP server or the Claude Code integration
- Use commands like graft grep, graft map, or graft viz to explore the code
Image & VideoIntermediate
9.0kTypeScript+7/daypushed 892d ago
Use it for: Run an open-source web interface for creating and editing AI-generated images, the community version of DreamStudio.
Quick start
- Install Node.js and Yarn
- git clone https://github.com/Stability-AI/StableStudio.git, then cd StableStudio
- Run yarn, then yarn dev
- Open localhost:3000 and enter your Stability API key if using the default plugin
4.8kTypeScript+4/daypushed 0d ago
Use it for: Build AI agents by chatting, share them with your team, and run them in Slack, Telegram or WhatsApp or on schedules.
Quick start
- Read the documentation or try Agenta Cloud, or self-host it by following the README
- Describe the work you want automated and connect the apps the agent needs
- Improve the agent through feedback and share it with your team
- Set up automations that run on a schedule or when an app event occurs
4.4kn/a+19/daypushed 90d ago
Use it for: Learn from 50 real Chinese-language OpenClaw use cases for automating office work, content creation, ops and knowledge management.
Quick start
- Read the beginner's guide (新手入门指南) in the README
- Browse the use case table of contents and pick a scenario
- Follow the step-by-step instructions to reproduce it with OpenClaw
- Check AGENTS.md if you want an AI agent to help reproduce the use case
4.0kHTML+16/daypushed 13d ago
Use it for: Find copy-paste SOUL.md agent templates for OpenClaw covering many roles, and submit your own.
Quick start
- Browse the agents folder or the categories list for a template that fits your role
- Copy the template's SOUL.md file
- Use it in your OpenClaw setup and adjust it to your needs
- Optionally submit your own agent template via a pull request
1.8kJavaScript+7/daypushed 23d ago
Use it for: Keep AI coding agents on track by orchestrating complex multi-step workflows deterministically instead of letting them drift.
Quick start
- Check the Prerequisites section of the README
- Follow the Installation section to install the package
- Work through First Steps and Quick Start
- Consult the documentation for the Agent Runtime CLI and Blueprints
1.1kTypeScript+2/daypushed 17d ago
Use it for: Build and run AI workflows and chatbots across channels using YAML, tools, MCP, memory and RAG.
Quick start
- Install the CLI with: npm install -g @hexabot-ai/cli
- Create a project with: hexabot create my-project
- Run: cd my-project
- Start it with: hexabot dev, then open http://localhost:3000
988Kotlin+2/daypushed 269d ago
Use it for: Give plain-language commands to an on-device Android agent that taps, swipes and types to complete tasks across your apps.
Quick start
- Clone the repo and follow the README install section
- Watch the demo videos to see supported triggers and tasks
- Give the agent a natural language command
- Note the license is personal use only
944Shell+2/daypushed 4d ago
Use it for: Install a self-hosted AI stack (n8n, Ollama, Open WebUI, Dify, Supabase and more) on your own server with one command.
Quick start
- Get a VPS running Ubuntu 24.04 LTS with a domain and a wildcard DNS record pointing to its IP
- Run: git clone https://github.com/kossakovsky/selfhost-ai && cd selfhost-ai && sudo bash ./scripts/install.sh
- Pick the services you want in the interactive wizard
- Open your services through the automatic HTTPS addresses set up by Caddy
Models & InferenceIntermediate
910Python+1/daypushed 7d ago
Use it for: Explore use cases, patterns, prompts and starter code for TypeSafe Jev, a model for fast, typed, confidence-aware software decisions.
Quick start
- Open the repo and browse the use cases and patterns
- Pick a pattern that matches your task, such as classification or routing
- Copy the starter code or prompts into your project
- Clone the repo and follow any setup notes included in the files
809C#+2/daypushed 1d ago
Use it for: Let AI assistants like Copilot or Claude control the real Excel app for Power Query, DAX, VBA, PivotTables and charts.
Quick start
- Use a Windows machine with Microsoft Excel installed
- Follow the installation guide on the project website or the VS Code extension
- Connect the MCP server to your AI client such as GitHub Copilot or Claude
- Ask in natural language for Excel tasks, or use the CLI instead
804Swift+0/daypushed 0d ago
Use it for: Add testing, debugging, capture, accessibility and automation tools to the iOS Simulator, including a CLI and agent skill for AI-driven app testing.
Quick start
- Install RocketSim on your Mac alongside Xcode's iOS Simulator
- Use its tools to inspect, debug and capture simulator behavior
- Install the separate RocketSim-Agent-Skill repo if you want AI agents to drive the Simulator
- Follow that repo's installation instructions to set up the skill
669TypeScript+1/daypushed 15d ago
Use it for: Let AI clients such as Codex or Claude control local Adobe Premiere Pro projects and automate video editing through MCP tools.
Quick start
- Make sure Node.js 20+ and Adobe Premiere Pro are installed
- Follow the README install section to set up the CEP bridge (the supported production option)
- Add the MCP server to your client, such as Claude Code, Claude Desktop or Codex
- Ask the AI to edit your Premiere project using the available tools
547JavaScript+1/daypushed 205d ago
Use it for: Connect Claude Desktop, ChatGPT and other AI assistants to your n8n instance to list, create and run workflows using plain language.
Quick start
- Check the requirements and have a running n8n instance ready
- Follow the Installation & Usage section to install the MCP server
- Set your n8n connection details as described in the Configuration section
- Add the server to your MCP client and ask it to manage workflows
541Shell+3/daypushed 0d ago
Use it for: Run business operations from Claude Code: a unified inbox, PR merging, infrastructure monitoring, revenue and marketing views, and a daily morning briefing.
Quick start
- Install it as a Claude Code plugin by following the README install section
- Connect the integrations you use, such as Slack, Stripe, AWS or Shopify
- Run the /ops:go command to get your morning briefing
- Explore the included skills and agents for specific tasks
476TypeScript+2/daypushed 0d ago
Use it for: Use a local-first desktop workspace where AI helps with coding, browser work, documents and automations, with visible actions and approvals.
Quick start
- Open the Getting Started guide in the README
- Install the desktop app on your machine
- Connect a model provider via account, API key, gateway or local model
- Start a task and approve the actions it proposes
