ai-draw
Create and edit drawings through conversation.
AI Atlas + Technical Lab
Find agent-native AI tools by category, then verify the stack.
Browse by the job first: coding, automation, data, research, communication, and security. Then filter by MCP, Skill, CLI, Workflow, compatible agent, source trust, stars, and freshness.
01
Start from AI categories.
MCP / Skill / CLI / Workflow remain important, but they work better as filters than as the first door.
02
Newly published tools.
Cards show value first, then technical type, source evidence, and a quick path to the detail page.
ai-startup-skills
创业公司做 AI 产品的 7 步 Agent Skill 合集：验证 → BP → 政策 → 路演 → 获客 → 定价 → 注册。
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Awesome-Agent-Memory
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
boardui
React design system for agentic interfaces. Every free BoardUI component as source, with a working AI chat app on your own model key as the homepage.
03
Agent compatibility comes next.
Use agent pages after picking the problem space. They explain which tools, skills, MCPs, and workflows fit each agent.
global Claude Code
Anthropic's terminal-native coding agent for large repositories, MCP-connected tools, skills, hooks, and team workflows.
china CodeGeeXA China-origin IDE coding assistant focused on completion, explanation, and editor-side developer assistance.
global CodexOpenAI's coding agent for repository implementation, review, verification, and tool-assisted engineering work.
global CursorAn editor-first AI coding environment with agentic IDE workflows, rules, memories, MCP, and cursor-agent CLI support.
global Hermes AgentNous Research's open-source, terminal-oriented agent with skills, MCP integration, local execution, and a large Skills Hub ecosystem.
china Kimi CLI / Kimi AgentMoonshot AI's Kimi agent surface for long-context research, document-heavy workflows, and Kimi Code CLI development tasks.
04
Signals and Learn support the directory.
They explain why the ecosystem is moving, without taking over the tool-first homepage.
open_license
Hybrid LLM-RL Red Teaming Framework Exposes AI Security Gaps
This paper introduces an autonomous red teaming framework that combines large language models with reinforcement learning to generate adaptive, multi-stage attack campaigns against AI-enabled security systems. Testing in high-fidelity enterprise simulations reveals that standalone LLM agents cannot sustain complex attacks, while hybrid LLM-RL approaches achieve significantly higher compromise rates, exposing critical vulnerabilities in current AI security defenses.
open_licenseAdaptive Multi-Agent Framework for Workflow Automation
This paper introduces a multimodal multi-agent framework that automatically executes complex workflows by first constructing a topological knowledge graph from fragmented execution logs (offline), then using adaptive Retrieval-Augmented Generation (RAG) over that graph during inference. A closed-loop verification protocol enables agents to self-correct and navigate non-stationary scenarios, outperforming linear approaches in reliability and semantic awareness.
learnRead the field guides
Short explanations for MCP, Skills, Workflows, and agent selection.