Every AI your team uses should already know your business.
Connect any AI your team uses in minutes — the same governed knowledge then answers your team's questions and powers every agent you build on it.
Connect all your AIs
Bridge every AI agent your team uses — from Claude to Cursor — directly to your verified digital brain.
Standardize tools & skills
Establish unified rulebooks so all connected agents invoke tools and execute tasks identically.
Protect vital knowledge
Lock workflows and context with cryptographic verification. Critical files cannot be altered without approval.
Sync with your team
Instantly stream updated context packages and guidelines to your whole team, so every AI stays current the moment you approve a change.
Trusted for a reason.
Healthcare systems, professional associations, and education platforms run on ContextNest daily — accuracy here is a compliance requirement.
Shadow AI is already inside the building.
Think about what's happening in your organization right now. People are pasting company material into personal ChatGPT, Claude, and Copilot accounts, holding onto context with browser tabs and a chat history nobody else can see. It works, sort of. It also means every useful answer lives and dies in a private conversation — the person learns, the company doesn't.
Meanwhile the documents your AI can see go stale without anyone noticing. It answers from last year's policy with this year's confidence, and there's no way to tell the difference until it's wrong in front of a client.
What this means Monday morning.
You keep using Claude, ChatGPT, and Cursor exactly like you do now — just connect them to ContextNest, and PromptOwl takes it from there.
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.
Everyone and every agent works from the same brain.
Update a policy once, and it's live immediately — sales, support, legal, someone's first day, and any agent reading from the vault. No version drift between departments or bots, no waiting for someone to loop everyone in.
Better accuracy. Lower cost.
Govern your context when it's written, and you stop paying to root through it every time you ask. A full prospect brief that used to take 24 minutes now takes 8. Speed and accuracy go up. Cost goes down.
“The great thing about working with the PromptOwl team is that they're willing to dance. We don't know exactly what we want because AI in education is so new — but they adapt with us. You don't find that kind of partnership very often. It's rare.”
See the difference context makes.
Claude Sonnet 5, asked the same question twice. The only variable is what it can see.
“A few real threads worth posting on today: the tracking-loss story — the LinkedIn campaign that surfaced a 99% click-tracking loss (527 clicks, 6 recorded sessions) after the Next.js migration — and ContextNest as an upcoming feature, once the journalist program is confirmed.”
“Checked the Nest. Best pick: the ‘Four Rulebooks for Enterprise AI’ post. It went live Aug 4, and per the content log its social push still has open items to finish — so today's the day.”
Six months old — never meant to go public
Wrong — ContextNest shipped in February
Shipped last week — confirmed live, promotion still open
ContextNest is what your AI knows. PromptOwl is what it can do — and who controls it.
Agents that act on your context. Tools that connect to your stack. Role-based access and a cryptographic audit trail when your org needs it — one governed system, not just a smarter chat window.
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?
PromptOwl adds stewardship to ContextNest — a review workflow so context gets approved before your AI treats it as true, and role-based access so you control who can see it. On top of that: agents built by chatting, an audit trail that logs every conversation against the exact knowledge it ran on, and every major model 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 is open source and free forever — install the CLI, and it runs locally against your Markdown vault with no account required. PromptOwl, the governed layer on top, 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 across the major models, and governance is identical at every tier.
What's the difference between open source ContextNest and paid PromptOwl?
Open source doesn't go away on a paid plan. The ContextNest CLI is free forever — install it locally and it runs against your Markdown vault, invisible in the background, with any MCP-compatible AI. PromptOwl is what you add when memory needs to work across a team instead of one person: agents built by chatting, role-based access, approval workflows, a cryptographic audit trail on every answer, and every major model included in one subscription. ContextNest is what your AI knows. PromptOwl is what it can do — and who controls it.
Can our compliance team approve this?
That review is the one this platform was built to pass. SOC 2, 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.
How is this different from enterprise search?
Search finds things. This proves what your AI was told. Enterprise search tools index everything your organization has and let AI search it — comprehensive, but ungoverned. ContextNest governs which knowledge is authoritative, approved, and current, so when your audit team asks what the AI knew and who authorized it, there's an answer.
Your knowledge should build up— not leak out.
Build the second brain your team's AI should already have. It works for the people on it and every agent they run — every answer traceable from day one.