agentic-ai-engineering
Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.
Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.
Efficient translation tool based on ChatGPT or any OpenAI compatible LLM chat completion API
Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.
Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode
Framework to bring LLM applications to production
Personal blog documenting a journey of growth. https://wangtunan.github.io/blog/
High-performance framework for building interactive workflow systems in Rust. Designed for complex workflows and multi-agent systems
Persistent Linux workspaces for agentic development.
Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.
Claude Code session log viewer for JSONL files in ~/.claude/projects. Browse conversations, tool calls, tokens, and live tail sessions on desktop, web, and TUI.
Agent Skill for turning Chinese classical poems into vertical Chinese-art videos with ImageGen stills, Docker I2V, calligraphy captions, retained ambience, BGM and final MP4 QA.
The standard framework for AI Driven Development
Open-source workspace manager for AI coding CLIs: Claude Code and ChatGPT Codex in one browser app. Discovers every session on disk, embedded terminals, phone-ready, cost tracking, kanban, docs. Windows, macOS, Linux.
AI-writing humanizer for KO/EN/ZH/JA
Dynamic Intent Resolution Grounding Engine
An easy-to-use, fast toolkit to scale up RL post-training on a single node.
Nurture your own AI assistant on your own computer. Local-first and MIT: memories, data and apps stay as plain files in your workspace. Chat summons the right GUI — wiki, spreadsheet, chart, form, 3D. Build small apps for an audience of one, no programming required.
Parse files (e.g. code repos) and websites to clipboard or a file for ingestions by AI / LLMs
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Build a ChatGPT like LLM from scratch in PyTorch, explained step by step.
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
The open-source AI coworker for your team: agents with their own cloud computer, your tools and context, handing back finished work websites, decks, spreadsheets, reports, PRs. Runs Claude Code, Codex, OpenCode on your subscription.
A local-first AI knowledge-base system (RAG) that connects local documents into a tutoring search and LLM chat workflow. Currently supports md, txt, pdf (text), xlsx, and csv files, with MCP server support.
Open source AI analyst powered by E2B. Analyze your CSV files with Llama 3.1 and create interactive charts.