Layer System
Top open-source Layer System AI systems, agents, and MCP tools.
Discover and install verified Layer System AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (17)
Open in Advanced Filter2026 年编程导航 AI 编程实战新项目，基于 React 19 + FastAPI + LangChain + LangGraph + Konva 的 AI 修图智能体，支持自然语言驱动修图、21 种编辑工具、文生图、智能抠图、图层拆分、区域编辑、多步计划。覆盖 AI Agent 架构、SSE 实时推送、异步任务队列、Canvas 画布引擎。用一套教程掌握 AI Agent 全栈开发，不到一周学完，给你的简历增加竞争力
Kortix CompanyOS – the open-source operating system for your company. Multiplayer AI agents, your company as code, sovereign on your infrastructure or ours.
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
A decision brain for agentic systems: perceive context, compare options, and control execution.
Complete ETCLOVG framework for AI Agent workflows - DAG+FSM orchestration, Ebbinghaus memory, discipline routing, skill evolution, trace system, governance. 80+ tests, zero deps, 7/7 layers.
Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya
👑 The all-in-one macOS menu bar companion: customizable controls, system monitor, AI Agent, Shortcuts, widgets, remote control, and more.
The rules layer for AI-written code — rig-lite: a fail-closed cross-model review gate, a written constitution, git-versioned memory. Any harness, any repo. v1-4 were the agentic dev environment.
A filesystem-native governance layer for AI agents. Folders are rules, counters are activation, Git is the audit trail.
Unofficial Claude Skill derived from the book Refactoring UI — a design rulebook and diagnostic layer for web UI. 151 tracked rules, design token generation, and Tailwind mappings.
Component layer for AI agents: implementation-aware contracts for building project-native interface components.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Take a real UI component apart. A Claude Code skill + runtime that explodes a live component into paint layers, states and tokens. Nothing is redrawn, no number is typed.
Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.
🪼 A personal AI assistant that lives in Telegram — every topic is its own isolated Claude Code agent with layered persistent memory and proactive cron heartbeats. Open skeleton of a real, running system.
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