Kernel Base Documentation

Production Research, System Architecture & Multi-Agent Orchestration Specification for the AI-Native IDE

Explore Documentation • Architecture Overview • Agent System • Release Roadmap • Quick Start

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🌟 Overview

Kernel Base is the architectural specification and systems blueprint for next-generation AI-Native Multi-Agent Integrated Development Environments (IDEs).

This repository contains the full interactive documentation platform featuring deep-dive architectural specifications, DAG task scheduling algorithms, multi-tier LLM gateway configurations, 11 specialized agent topologies, sandbox security models, and a complete 10-day MVP execution sprint.

Important

Release Preview Announcement: Kernel Base Documentation is currently in v0.1.0-preview. The initial public open-source release is releasing shortly on GitHub.

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🏗️ System Architecture & Highlights

flowchart TD
    User["👤 Developer / User"] -->|High-Level Goal| Orchestrator["🧠 Central Orchestrator & DAG Engine"]
    
    subgraph AgentPool["11 Specialized Autonomous Agents"]
        Planner["📐 Planner Agent"]
        Coder["💻 Coding Agent"]
        Researcher["🔍 Research Agent"]
        QA["🧪 QA & Test Agent"]
        Reviewer["👁️ Reviewer Agent"]
        DevOps["🚀 DevOps Agent"]
        Security["🛡️ Security Agent"]
        DataAnalyst["📊 Data Analyst Agent"]
        Docs["📝 Docs Agent"]
    end

    Orchestrator --> AgentPool
    AgentPool -->|Standardized Calls| MCP["🔌 Model Context Protocol (MCP)"]
    MCP -->|Sandboxed Execution| Sandbox["📦 Docker & Filesystem Sandbox"]
    
    subgraph Gateway["3-Tier Model Gateway"]
        Ollama["🖥️ Tier 1: Local Ollama ($0)"]
        OpenRouter["☁️ Tier 2: Cloud OpenRouter"]
        LiteLLM["⚡ Tier 3: LiteLLM Router"]
    end
    
    AgentPool --> Gateway
    Sandbox -->|Verification Loop| QA
    QA -->|Auto-Repair on Fail| Coder

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• Dynamic DAG Task Engine: Task decomposition with automated dependency resolution, topological sorting, and concurrent sub-task scheduling.
• 11 Autonomous Specialized Agents: Planner, Orchestrator, Coding, Research, Data Analyst, QA, Reviewer, DevOps, Security, Documentation, and Custom extensible agents.
• 3-Tier Hybrid Model Router: Intelligent model routing prioritizing local $0 compute (Ollama/Llama 3/DeepSeek) before falling back to cloud providers via OpenRouter and LiteLLM.
• Model Context Protocol (MCP): Native tool protocol support for isolated filesystem manipulation, Git worktrees, terminal execution, and browser automation via Playwright.
• Autonomous Test & Repair Loop: Closed-loop testing that diagnoses unit/integration failures and dispatches targeted automatic patches.
• Signature Left-to-Right Theme Transition: 60–120 FPS hardware-accelerated horizontal theme wipe across all viewport breakpoints.

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🤖 11 Autonomous Agents

Agent	Primary Role & Responsibility	Core Tools & Protocol
Planner Agent	Task decomposition, milestone estimation, dependency mapping	Task Graph DAG, Work Breakdown Structure
Orchestrator Agent	Dynamic agent dispatching, execution lifecycle, event broker	Server-Sent Events (SSE), State Store
Coding Agent	Synthesizing code, refactoring, context-aware editing	MCP Filesystem, LSP, AST Parser
Research Agent	Codebase exploration, web search, dependency documentation	DuckDuckGo / Tavily API, Vector Retrieval
QA Agent	Test suite generation, test execution, coverage auditing	Docker Sandbox, Jest/Pytest Runner
Reviewer Agent	Code quality checks, style enforcement, pull request reviews	Static Analysis, Linter, Security Rules
DevOps Agent	CI/CD pipelines, container provisioning, cloud deployment	Docker Compose, GitHub Actions, Cloudflare
Security Agent	Secret scanning, dependency CVE auditing, permission bounding	Semgrep, OWASP Scanner, MCP Permissions
Data Analyst Agent	Token consumption telemetry, latency monitoring, cost metrics	Prometheus, ClickHouse / DuckDB
Documentation Agent	Automatic docstring generation, architecture sync, API specs	Mermaid.js, TypeDoc, Markdown Parser
Custom Agent	User-defined agents with custom prompts, capabilities, & permissions	Capability Registry, Plugin SDK

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🗺️ Versioning & Release Milestones

Version	Status	Milestone Description
v0.1.0-preview	🟢 Current Preview	Initial architectural documentation, DAG specifications, and interactive widgets. Releasing shortly on GitHub.
v0.2.0-beta	🟡 Upcoming	Agent core runtime prototype, MCP tool bridge integration, and local CLI runner.
v0.5.0	⚪ Planned	Cross-platform Desktop IDE preview (Electron/Tauri) with Docker runtime integration.
v1.0.0	⚪ Planned	Production-grade multi-agent IDE general availability, team collaboration, and cloud sync.

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📂 Documentation Directory

├── 🚀 Get Started             # Introduction, Core Concepts, Desktop App Setup, First Run
├── 🏛️ System Architecture      # Runtime, Orchestrator, Task Graph DAG, Workspace Isolation
├── 🤖 Agent Directory         # 11 In-Depth Agent Specifications & Custom Agent Guides
├── 🔄 Autonomy & Test Loop     # Autonomous Execution, Parallelization, Auto-Repair Engine
├── 🧠 Models & Gateway        # 3-Tier Router, Ollama, OpenRouter, Token & Cost Optimization
├── 🔌 Tools & MCP Protocol     # MCP Servers, Docker Sandbox, Terminal & Browser Automation
├── 💻 Desktop Application     # Desktop Architecture, IPC Bridge, Local Workspace Engine
├── 🆓 Free Tech Stack ($0)    # Zero-Cost Student & Developer Architecture Guide
├── 🔨 Build & Implementation  # Database Schemas, REST/WebSocket API Specifications
├── 📅 10-Day MVP Plan         # Step-by-Step Daily Execution Blueprint from Day 1 to Day 10
├── 🔬 Research & Benchmarks   # Multi-Agent Topologies, Sandbox Security, Cost Studies
├── 📚 Resources & Ecosystem   # LangGraph vs DAGs, OpenHands/Cline Analysis, MCP Manual
├── 🗺️ Roadmap                 # Release Milestones, Cloud Collaboration, Agent Marketplace
└── 📖 API Reference           # REST & WebSocket Endpoints, Event Schemas, Config Reference

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🚀 Quick Start

Prerequisites

• Node.js: v20.0.0 or higher
• Package Manager: npm, pnpm, or bun

Installation & Development

1. Clone the repository:

   git clone https://github.com/Sujoymoulick/kernelbase-docs.git
   cd kernelbase-docs

2. Install dependencies:

   npm install

3. Start the local development server:

   npm run dev

   Open your browser at http://localhost:3000.

4. Build for production:

   npm run build

5. Preview production build:

   npm run preview

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🛠️ Tech Stack

• Framework: React 19 + TypeScript
• Styling: Tailwind CSS v4
• Build Tool: Vite 8
• Diagrams & Visualizations: Mermaid.js + Custom Interactive SVG DAG Engines
• Icons: Lucide React
• Motion: GPU-accelerated CSS View Transitions Level 1 + Custom Compositor Hooks

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🤝 Open Source & Contributing

We welcome community contributions, architectural discussions, and feature proposals!

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'feat: Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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📜 License

Distributed under the Apache License 2.0. See LICENSE for more information.

Made with ❤️ by the Kernel Base Team • AI-Native Multi-Agent IDE Architecture