ai-engineering-cheatsheets
Give you decision-ready references for the most common AI engineering problems
An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.
Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.
Give you decision-ready references for the most common AI engineering problems
Self-hosted AI gateway for private RAG, natural-language data access, and tool-calling agents.
Persistent Linux workspaces for agentic development.
Our vision is to provide communication capabilities for intelligent agents, allowing them to connect with each other to form a collaborative network of intelligent agents.
Open-source, free, multi-platform, one-click deploy, AI Agent–integrated personal bookmarking system|完全开源、免费、多端、一键部署、AI Agent 集成的个人收藏夹系统
Self-hosted runtime control plane for AI agents. Observe or HITL approve or Block rogue tool calls before it executes: secret leaks, prompt injection, supply chain etc in a local dashboard. Agent agnostic (Claude, codex, langchain etc.)
~3M live jobs from 36 ATS, enriched with LLM-extracted fields + embeddings, released CC0. Includes agent tooling to search them (hull -> learn -> rank).
Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.
Build LangChain Applications on AWS
AI-driven user testing for iOS Simulator, macOS apps, and web apps. Write a goal in plain language; an LLM agent drives the UI and reports friction. macOS 14+, Swift 6.
Your agents are guessing at APIs. Give them the actual Agent-Native spec. 1500+ API's Ready To-Use skills, Compile any API spec into a lean, agent-native format. 10× smaller. OpenAPI, GraphQL, AsyncAPI, Protobuf, Postman.
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.
Let's compose rich plans together
Meme雷达开源版:本地只读、多链 Meme 候选扫描与人工复核工具
Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.
The agent-native OS for companies.
A fully autonomous AI Agent/Python pipeline that utilizes Large Language Models (LLMs) like Gemini to generate content, produce videos, and automatically upload educational videos to YouTube.
A mechanism for discovering Agent Skills using the .well-known URI path prefix as specified in RFC 8615 for discovering Agent Skills.
A natural-language workflow for creating atmospheric short book videos with AI-generated visuals, HyperFrames, GSAP animation, voiceover timing, subtitles, and BGM.
Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.
A small desktop robot that brings an AI coding assistant to life, physically acting out when it reads files, thinks, writes code, and finishes work.
Claude Code plugin: run the Antigravity CLI (Gemini) as a collaborating sub-agent with intelligent model routing across the SDLC. Community project; not affiliated with Google/Anthropic.
20 章中文 AI Agent 架构实战教程,配套可运行 TypeScript 代码,覆盖工具、权限、记忆、多 Agent、Worktree 与 MCP。
Build AI agents grounded in a creator's documents, audio, and video.