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Context Layer

AI-native Codebase Knowledge & Intelligence Infrastructure.

"Build the context your codebase never had."


🏗️ The Infrastructure

Context Layer is an AI-native infrastructure that automatically builds, syncs, and evolves the context your projects have been missing — making codebases both Agent-ready and Human-ready.

🛠️ Capabilities

  • 01 Sources: Connect GitHub, local files, or discussion threads as raw context streams.
  • 02 Knowledge: Multi-layer Narrative Wiki + Intelligence Dashboards (Security, Health, Coverage).
  • 03 Chatbot: Grounding-first agent with citation-backed responses and code-anchor deep-linking.
  • 04 Generate: DocsGen (Institutional Memory bundles), OmniBoard (Slides/Audio/Video), and MCPGen.
  • 05 Library: Central versioned repository for all generated artifacts.

🛠️ Technical Stack

Built on the "Vercel Meta" 2026 stack:

  • Core: Next.js 16 (App Router), Turborepo, Bun
  • UI: Tailwind CSS v4, Motion, Lucide, shadcn/ui
  • State/Auth: Zustand (Persona-keyed Persist), Auth.js v5
  • Quality: Vitest, Playwright, Biome

🚀 Getting Started

1. Installation

bun install

2. Development (Run All)

bun dev

3. Build (Production)

bun run build

🛠️ Workspace Management

Use these commands to work on specific parts of the ecosystem without starting everything.

Command Action
bun run dev --filter=marketing Run only the Marketing site (:3001)
bun run dev --filter=web Run only the Playground (:3000)
bun run build --filter=marketing Build static export for Marketing
bun run build --filter=web Build standalone bundle for Playground
bun run lint Lint everything with Biome
bun run test Run all Vitest + Playwright tests

👤 Demo Personas

Sign in via /login using the following passwords (set in .env.local):

  • empty: Zero-state onboarding
  • partial: Active sources, no Wiki generated
  • full: Complete workspace (9 code repos + 5 supplementary sources) with Wiki, Intelligence, and Chatbot history

🚢 Deployment

  • docs/DEPLOYMENT.md — Dual-pipeline (GitHub Pages + DigitalOcean) and remote MCP setup.

🎬 Client demos

  • AGENTS.md — Briefing for AI agents + the portable Siloed Agent Persona.

📚 Documentation

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Context Layer: AI-native Codebase Knowledge & Intelligence Infrastructure

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