Patent PendingStrategic Enterprise Infrastructure

The Universal
Context Engine

Build a governed Enterprise Digital Twin. Empower your AI agents with the structural memory and trusted facts they need to operate autonomously.

Download the Strategic Whitepaper

Your AI is only as trustworthy as the context it consumes.

You are spending millions on LLMs, orchestration, and agents. But when an AI confidently cites a deprecated policy or offers an outdated pricing tier, the model isn't at fault. The ungoverned context is. Stop feeding unvetted PDFs into blind similarity engines.

Hierarchical Stewardship

Context requires human approval. Enforce granular permissions from the Data Room down to the Document level before any knowledge reaches production AI.

Structural Memory ("The Nest")

Embeddings destroy relationships. ContextNest maintains the explicit wiki links, taxonomies, and author attributions that make your knowledge graph navigable and accurate.

Zero Vendor Lock-In

Governance shouldn't hold your data hostage. Built on a portable, Obsidian-compatible Markdown specification. Take your context anywhere.

The Governance Flow

How raw knowledge becomes trusted AI context securely.

Step 01

Author & Connect (The Editor)

Knowledge begins in our Markdown editor. Writers use [[wiki links]] and @mentions to natively connect concepts, automatically building a highly structured knowledge graph while they type.

# Q3 Strategy Memo
We are shifting focus toward the new [[Enterprise-Tier-Pricing]] model proposed by @Sarah.
Step 02

Review & Approve (Stewardship)

Drafts don't feed AI. Only content that successfully passes your configured 4-level human stewardship approvals will be compiled into the .context structural memory engine.

StatusApproved
Technical ReviewJ. Davis (Complete)
Step 03

Connect Your Agents (MCP)

Once approved, the knowledge is queryable. Any MCP-compatible AI client — Claude Code, Claude Desktop, Cursor — can read, search, and resolve governed context through a standard interface. No custom integrations required.

// claude_desktop_config.json
{
  "mcpServers": {
    "contextnest": {
      "command": "node",
      "args": [
        "node_modules/@promptowl/
         contextnest-mcp-server/
         dist/index.js"
      ],
      "env": {
        "CONTEXTNEST_VAULT_PATH":
          "/path/to/your/vault"
      }
    }
  }
}
PromptOwl
Dogfooding the Digital Twin

"I got a 30-minute briefing on a new product two days before launch. And it wasn't a big deal."

"As Chief Growth Officer, getting thrown a new product launch 48 hours out is usually a crisis. With ContextNest, it took seconds to get up to speed."

"Because our engineering and product decisions were already tightly linked in our structural memory, the AI already knew our roles, SOPs, and history. It even successfully captured the open-source license we literally just decided on verbally 5 minutes prior—because that oral decision was instantly logged as a new node in the Nest."

When one person learns, the whole enterprise benefits instantly.

Stacey Schneider
Stacey Schneider
CGO, PromptOwl
Minute 00
GTM Strategy Session
Need to hook into [[Strategic-Plan-v2.md]] and leverage [[MIT-License-Decision]].
Minute 30 output
> Context linked. No hallucinations detected.
> Generated: execution_plan.md
> Generated: whitepaper_draft.md
> Generated: website_flow.md

Highly contagious flow state.

Once your team stops searching for "the latest version" of a doc and starts coworking with a perfectly governed digital twin, the speed of execution is jarring.

You have been warned: working alongside ContextNest changes the expectations of what an enterprise can build in an afternoon.

Warning: Coworking with ContextNest is incredibly addictive doodle

Frequently Asked Questions

Open Source — Available Now

Built in the open.

The core specification, engine, CLI, and MCP server are open source and available on npm. Start building governed context for your AI agents today.

npm install -g contextnest-cli
ctx init --name "My Knowledge Base"
ctx verify

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