MCP Servers & Agents

Awesome-Offensive-AI-Agentic-Landscape

This document curates open-source projects, academic papers, capability benchmarks, and commercial solutions (international & China) in AI penetration testing, LLM red teaming, autonomous offensive agents, and vulnerability discovery—aimed at helping researchers, security engineers, and enterprise decision-makers quickly form a holistic view.

skills-vote

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

cashclaw

The Agent Economy Layer — agents earn, agents spend, Guard protects. 13 skills, runtime cost cap, recursive kill, tool firewall. 50+ HYRVE API endpoints, job polling daemon, MPP stablecoin. v1.7.0

agents-universe

共享智能体，共享项目上下文，让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中

pi-agent-dashboard

Real-time web dashboard for pi coding-agent sessions. Multi-session view, live chat mirroring, integrated terminal, diff viewer, pi-flows execution, and mobile-first remote control via mDNS or zrok tunnel. Coexists with pi's TUI — doesn't replace it.

apex

AI-powered offensive security testing using autonomous agents, directly in your terminal.

reevo

[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

PlugMem

ICML 2026 · Plug-and-play long-term memory for LLM agents

Orbital

Context is yours. Agents are replaceable. Orbital — a project agent that turns your context into assets.

vizra-adk

Build, test, and deploy intelligent AI agents the Laravel way

awesome-ai-agent

AI Agent 资源汇总，不限于基础概念、Harness 实践、RAG、测评基准、感知记忆、开源项目推荐、核心论文、开源项目等

ai-agents-in-action-2nd-edition-cn

本项目是《AI Agents in Action》第二版的中文译本，是一本智能体系统构建与应用的实战指南——目标不止于打造自主实体，更在于开发能够切实应对并解决现实问题的智能体。 全书从大语言模型（LLM）的基础应用出发，逐步深入到智能助手、多智能体系统与自主智能体的构建，系统讲解智能体系统的关键组成部分：角色、工具与行动、知识与记忆、检索与增强、推理与规划、评估与反馈。第二版将五个功能层作为组织原则，并新增 MCP 协议、测试驱动的智能体开发（TDAD）、智能体循环、认知与元认知等前沿主题，帮助开发者构建生产级智能体系统。

insights-bot

A bot works with OpenAI GPT models to provide insights for your info flows.

clawdstrike

AI EDR for developer workstations and autonomous agent fleets. Build Swarm Detection & Response platforms with Clawdstrike.

learn-agent

学习Agent开发的笔记，尝试让Agent从可用到可靠

agent-design-patterns

A 7×6 framework for agent architecture. 28 patterns, each placed at a coordinate, runnable Python code with verified engineering slices from Claude Code, Aider, OpenHands, DeerFlow. Companion to Designing AI Agents (Manning) by Jia Huang.

WebCanvas

All-in-one Web Agent framework for post-training. Start building with a few clicks!

ai-agents-skills

🧠 AI Agent Skills Repository - A curated collection of specialized skills for AI coding agents (Claude Code, GitHub Copilot, Cursor, Windsurf). Created by Yuval Avidani using GitHub Copilot via VS Code Insiders.

awesome-ai-agent-platforms

A curated list of open-source AI agent platforms: AI coworkers and teammates, agent builders and frameworks, workflow automation platforms, browser agents, and coding agents, with licenses.

VisualAgentBench

Towards Large Multimodal Models as Visual Foundation Agents

agent-actors

LLM-SR

[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models

scope-recall-hermes

Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.

total-recall

Total Recall — Autonomous Agent Memory. The only memory system that watches on its own. Five-layer observational memory for OpenClaw agents. ~$0.10/month.