The Universal
Context Engine
Build a governed Enterprise Digital Twin. Give your AI agents persistent memory—structured, approved, and trusted—so they can operate autonomously without confidently delivering wrong facts.
"Install ContextNest using the instructions on this page."
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 But when an AI confidently cites a deprecated policy or offers an outdated pricing tier, the model isn't at fault.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.
Persistent Memory ("The Nest")
Embeddings destroy relationships. ContextNest gives your agents persistent memory that maintains explicit wiki links, taxonomies, and author attributions—so your knowledge graph stays navigable, accurate, and human-approved.
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.
FAQWhere is the User Interface?
The open-source ContextNest framework operates entirely "behind the scenes" through raw markdown files and a CLI terminal. For non-technical stakeholders (like a Chief Context Officer) who require a collaborative GUI to approve facts and manage permissions across the organization, we offer the PromptOwl Enterprise Platform.
Read the Whitepaper to learn more →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.
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.
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"
}
}
}
}Ready-to-use Starter Vaults
Don't start from scratch. Download a free, role-based vault template and give your AI instant structural memory.
Executive / Leadership
Strategy, operations, and leadership playbooks for senior leaders.
Developer / Engineering
Architecture decisions, coding standards, and fast onboarding for engineering teams.
Sales / Revenue
Objection handling, competitive intel, and enablement playbooks for sales teams.
"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.
> 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.
Frequently Asked Questions
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 verifyJoin the Enterprise Waitlist
Coworking with a perfectly governed AI twin changes the speed of execution for your enterprise. Apply to build the intelligence layer with us.