Make your AI accountable.
Every answer traces back to approved knowledge, with a full audit trail. Start free with ContextNest — private, local, yours.
Trusted by organizations where accuracy is non-negotiable.
Stacey Nest
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Shadow AI is already inside the building.
Your people didn't wait for an AI policy. They're running real work through personal ChatGPT, Claude, and Copilot accounts right now — and everything they teach the AI, and everything it tells them, is invisible to you. Every useful answer lives and dies inside a private chat. The person learns. The company doesn't.
Meanwhile the documents the AI does see go stale quietly. It answers from last year's policy with this year's confidence, and nobody can tell the difference. The work is happening either way — right now the knowledge leaks out instead of building up.
What this means Monday morning.
ContextNest builds a governed, approved memory layer every AI your team uses draws from — and every conversation is logged against the exact knowledge it ran on. All your tools. One approved source of truth.
Answers you can trace.
Every answer comes with its source, not a confident guess. Click through to the exact approved document it drew from.
You stay in charge.
The AI drafts, you approve. Nothing acts on sensitive context without a human in the loop — decisions route to the right person first.
Never start over.
Switch to a better AI model the day it ships, without re-teaching it your business. Your context is portable — the model is interchangeable.
It keeps getting smarter.
Every correction makes the system smarter — permanently, not just for that conversation. Nothing walks out the door when an employee does.
Four changes your team feels in week one — no new habits required. The AI they already use just starts knowing the business.
Pay the context tax once. Collect on every query after.
Govern your context when it's written and you stop paying to root through it every time you ask. Speed and accuracy go up. Cost goes down — governed context cuts tokens spent by two thirds.
ContextNest is what your AI knows. PromptOwl is what it can do — and who controls it.
Agents that act on your context. Skills that automate your workflows. MCP tools that connect to your stack. Build the complete AI work system — not just a smarter chat window.
And when your organization needs role-based access, approval workflows, cryptographic audit trails, and enterprise-grade infrastructure — that's PromptOwl too.
When your team is ready, deploy Community Edition in minutes — a free, self-hosted server your whole team connects to. One governed knowledge vault. Every teammate's AI draws from the same approved, versioned knowledge. Bring a PromptOwl account — that's the only requirement.
See it on your own data.
Ask for a live walkthrough built around your use case — governed answers on a vault modeled on your business, with the audit trail behind every one. Bring your compliance team.
No commitment · hoot@promptowl.ai
“Most people who talk governance talk about models and logging. You're talking about structuring and versioning the context itself — and that should be approved and portable. This is a novel, non-trivial insight.”
Questions, answered.
What is ContextNest?
ContextNest is wiki-style persistent memory for AI models — patent pending. Your knowledge lives in structured, graph-linked Markdown files on your machine, version-controlled and human-approved. Any MCP-compatible AI — Claude, Cursor, Antigravity — reads directly from it. The Desktop app is free, runs locally, and requires no account.
How is ContextNest different from RAG or a vector database?
ContextNest handles organic, living knowledge — structured, versioned, human-approved documents your AI reads directly, so you get the same answer every time. RAG handles static knowledge — retrieval over large corpora that rarely change. PromptOwl governs both. Peer-reviewed research measured a 97% answer-quality pass rate versus 90–93% for standard retrieval, using 3× fewer tokens per query.
Read the whitepaper →What does PromptOwl add on top of ContextNest?
ContextNest tells your AI what to know. PromptOwl controls what it can do — and who can do it. That means agents built by chatting, role-based access, approval workflows, an audit trail that logs every conversation against the exact knowledge it ran on, and 125+ models included in your subscription.
Is my data used to train AI models?
No. PromptOwl never trains your data into public models, and customer data is not shared with vendors. With ContextNest Desktop, your files never leave your machine at all. Your knowledge stays in plain, portable files on infrastructure you choose — yours permanently.
How much does it cost?
ContextNest Desktop is free, always — no account required. PromptOwl starts at $29/mo for individuals, $299/mo for teams, and Enterprise runs from $4,999/mo with custom terms. Every paid plan bundles LLM credits you can spend on any of 125+ models, and governance is identical at every tier.
Can our compliance team approve this?
That review is the one this platform was built to pass. SOC 2 Type II, HIPAA compliant, GDPR ready — controls observed operating over time, not a point-in-time badge. PromptOwl is already deployed in regulated environments across healthcare, education, and nonprofits, with role-based access, human approval gates, and a full audit trail.
Your knowledge should build up— not leak out.
Start free with a local memory engine, or deploy a governed server for your team — every answer traceable from day one.
ContextNest Desktop
Your AI's long-term memory engine running 100% locally. Private by default, no account required. Download and connect your AI in seconds.
Community Edition
Deploy a self-hosted ContextNest server on your VPS or local machine. Set up team roles, steward approval workflows, and markdown vaults.