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Model Context Protocol Servers
《一人企业方法论》第二版，也适合做其他副业（比如自媒体、电商、数字商品）的非技术人群。
🤖 GPT Vision, Open Source Vision components for GPTs, generative AI, and LLM projects. Not only UI Components.
Generate responsive pages and apps on HTML, Tailwind, Flutter and SwiftUI.
TypeScript-centric app development platform: notebook and AI app builder
A collection of prompts, system prompts and LLM instructions
📃 A better UX for chat, writing content, and coding with LLMs.
Prompt, run, edit, and deploy full-stack web applications
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…
【AI赋能前端研发从 0 ～ 1】一本从头开始分享如何将AI融入前端研发工作流的电子书
⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
An AI-powered search engine with a generative UI
Setup AI2Apps at local system so you can use your own OpenAI key or make more back-end features.
Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Visual Studio Code client for Tabnine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode
Draw a mockup and generate html for it
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Curated list of project-based tutorials
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place.
