AI-Agents-Projects-Tutorials
Multi-agent systems, memory, planning, reasoning loops
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.
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Newly published tools.
Cards show value first, then technical type, source evidence, and a quick path to the detail page.
awesome-hermes-agent
A curated list of skills, plugins, tools, integrations, and resources for Hermes Agent by Nous Research
basic-memory
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
Duel-Agents
CLI, SDK, and IDE plugins for Duel Agents
kagent
Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord
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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.
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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.