ai-coding-guide
「可能是全网最全的」📘 面向小白的 AI 编程 CLI 中文教程:Claude Code + Codex 92 篇精修
AI 智慧代理是用大型語言模型決定下一步要做什麼的程式:它會呼叫瀏覽器、程式碼直譯器或 API 等工具,反覆執行,直到任務完成。這裡的專案既有用來打造自己代理的框架,也有能寫程式、瀏覽網頁或執行業務流程的現成代理。
比較時看三點:能用哪些模型——只支援一家服務商,還是任何相容 OpenAI 介面的端點(包括本地模型);如何限制代理能做的事——沙箱、核准步驟、權限清單;以及它能否在步驟之間、工作階段之間保留記憶。會執行程式碼或命令列的代理應該在沙箱中執行,給它存取你電腦的權限前先確認這一點。
「可能是全网最全的」📘 面向小白的 AI 编程 CLI 中文教程:Claude Code + Codex 92 篇精修
Next-gen AI+IoT framework for T2/T3/T5AI/ESP32/and more – Fast IoT and AI Agent hardware integration
One-stop shop for building AI-powered products and businesses with Stripe.
Underthesea - AI Assistant
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
LM Studio TypeScript SDK
MCP Server para 70 APIs públicas brasileiras
自然语言处理、知识图谱、对话系统,大模型等技术研究与应用。
Scalable data pre processing and curation toolkit for LLMs
百聆 是一个类似GPT-4o的语音对话机器人,通过ASR+LLM+TTS实现,集成DeepSeek R1等优秀大模型,接入openClaw,真正的个人语音助手,时延低至800ms,Mac等低配置也可运行,支持打断
Waku Waku! Waku Agent is a local-first AI agent harness you actually own, including loop, memory, eval, all in code built to stay legible as it grows.
AI+金融(量化):1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作,包括LLM, Agent, benchmark(evaluation), etc.
Claude Code for Financial Market
Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.
Build Anything with AI Agents
Synthetic data curation for post-training and structured data extraction
Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
Advanced LLM-powered brute-force tool combining AI intelligence with automated login attacks
Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. Includes CodeRabbit open-source alternative.
Optimized Agentic and LLM Bulk Processing Over Your Data
Lightweight coding agent written in Rust, optimized for memory footprint and performance
Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning