Governed for Agents

One second brain. Every agent you run. One control plane.

ContextNest is the knowledge layer every agent you deploy reads from — versioned, approved, the same answer every time. PromptOwl turns it into agents you actually run, and controls which ones can act on it.

Try it yourself.

Set up your context and your first agent below — see how easy it is.

app.promptowl.ai/magic-context

Sound Familiar?

Your agent answered confidently. The context was 18 months out of date.

Every agent your team runs is a shadow second brain nobody signed off on — and nobody notices it's gone stale until it's wrong in front of a customer.

S
Sales Agent, reading a stale copy
what's the price on the Pro plan right now?

“The Pro plan is $39/month, and you qualify for our Spring Launch discount — 20% off your first year.”

↩Price changed to $49 in March
↩Spring Launch offer expired a year ago
S
Sales Agent, reading the governed Prime doc
what's the price on the Pro plan right now?

“The Pro plan is $49/month. If you pay for the full year today, we can offer you 17% off — that's the current, active discount.”

↩Current price and current offer, read straight from Prime

Governed, Not Guessed

A governed vault doesn't just organize your knowledge. It makes every agent that reads it more accurate.

97%

Answer quality pass rate, vs. 90–93% for standard retrieval — same test, whichever agent is asking.

3× fewer

Tokens per query, across every agent connected to the vault — same or better accuracy.

Same answer

Every agent gets it, every time. No re-rolling the dice on what's true.

You don't need a platform team. You need a vault your agents can reach.

Run this hosted on PromptOwl — always-on infrastructure, nothing to patch or provision before your first agent reads from something real. Any agent that speaks MCP can connect to it. Need the vault on your own infrastructure instead? That's available too.

Set up in an afternoon, not a quarter

Go hosted and skip the infrastructure work entirely. Point ContextNest at what your team already knows, and the next agent you build reads from it before the day is out.

Any agent that speaks MCP can connect

Claude, ChatGPT, Cursor, an internal tool you built last quarter — if it's MCP-compatible, it reads from the same governed vault. No custom integration per agent.

Self-hosted when you need it

Regulated data or a security team that requires zero external calls? ContextNest runs entirely on your own infrastructure too — same governance, your servers.

How It Works

From Scattered Knowledge to Agents You Can Trust.

onboarding-runbook.md
v3 · Approved
#process#onboarding#support

Organize

ContextNest turns what your team already knows — docs, decisions, runbooks — into a structured, version-controlled vault: typed, graph-linked, human-readable Markdown. Every agent starts from the same source, not five different ones.

Connected via MCP
ClaudeConnected
ChatGPTConnected
CursorConnected

Connect

Any MCP-compatible agent reads directly from your vault — the ones you've already built, and the ones you build next. Same governed context, every agent, every session.

Live Agents2 Active
S
Support Agent
O
Onboarding Agent

Deploy

PromptOwl turns the vault into agents you can run — support, internal tools, whatever the work calls for — and governs which ones can act on it, with an audit trail for every one.

Organize and Connect are ContextNest — free, forever, no card required. Deploy is PromptOwl, whenever you're ready to build.

Most AI tools give you access to agents. PromptOwl gives you control over what they know and do.

The teams pulling ahead didn't just deploy more agents. They organized what those agents know into something governed — once — so every agent they ship since starts from the same source instead of its own private guess. Here's what that looks like below.

One Governed Source, Every Agent

Every agent reads the same versioned, approved knowledge.

ContextNest doesn't just store what your team writes down. It governs it. Every document is versioned, every edit is logged, and you decide what's Prime, the version every agent is required to treat as true. When a policy changes, every agent connected to the vault gets the update. None of them keep working from what used to be true.

Refund Policy
Prime
v4 — approvedCurrent
v3Superseded
v2Superseded

Model Access

Configure once. Switch freely — even mid-deployment.

Your context is governed once. Your agents are built once. Then you choose the model underneath — ChatGPT, Claude, Gemini, or any other major model — and every agent keeps working. No rebuilding a support bot from scratch because a sharper model shipped. Swap the engine. The agent, and the knowledge it runs on, stays intact.

Model Engine
Active
G
GPT-5.0
C
Claude 4.7 Opus
G
Gemini 3.1 Pro

Deploy & Govern

Every agent, one control plane.

PromptOwl is the easiest way to build tools on top of that vault, run them on a bank of included credits, and keep them on always-on infrastructure you never have to patch or upgrade yourself. Every action is logged, so when someone asks what an agent did, and what it knew when it did it, the audit trail has the answer. It's knowledge management and agent management in one place, not two systems stitched together — so the fifth agent you add doesn't become a fifth ungoverned island of knowledge.

Governed Agents3 Active
S
Support Agent — reads Prime docs
O
Onboarding Agent — reads Prime docs
M
Marketing Draft Agent — pending review

Trust the Source

Agents you can trust and control.

app.promptowl.ai/prompt/monitor
HistoryAnnotations
Testing: v9 · Production
TopicVersionUserStart TimeSource
SOC 2 certifiedHIPAA compliantGDPR-ready
  • Every agent's actions are logged, and every answer is sourced.Ask what an agent did, and what it knew when it did it — the audit trail has both, not just one.
  • Independently verified, not self-attested. What goes in never trains a public model. See the trust center for the full evidence.

Start Today

Free to Use Yourself. Add PromptOwl to Scale It as a Team.

ContextNest is free forever — install it, organize what your team knows, connect every agent you already run. PromptOwl adds the audit trail of what every agent did and knew, agents you build by describing what you want and version like code, and role-based access when you're ready to run it as a team.

ContextNest

Free forever · No card required

Install the CLI or desktop app, organize your team's knowledge into a governed vault, and connect any MCP-compatible agent you already run. Private, self-hosted, yours.

Get ContextNest free
When You're Ready

PromptOwl

Starts at $29/month

The easiest way to build tools on your vault, run them on a bank of included credits, and keep a full audit trail of what every agent did and knew. SOC 2 certified, HIPAA compliant, GDPR-ready. Every major model included.

See PromptOwl plans

Running agents across a whole organization, with compliance on the line? That's a different conversation — audit trails, access controls, and a security team that needs answers before you deploy.

AICPA SOC badge
HIPAA compliant badge
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See the Enterprise path →
FAQ

Common Questions.

We already have a few agents running in different tools. Why do we need this?

Each of those agents is probably working from its own private slice of your knowledge — one bot's upload, another tool's static prompt, a third one's guess. ContextNest gives all of them one governed source instead. You don't rebuild the agents. You point them at something real.

Do we need to rebuild our existing agents to use this?

No. Any MCP-compatible agent can read from your ContextNest vault without a rewrite — you're changing what it reads from, not how it was built. If an agent isn't MCP-compatible yet, that's usually a connection change, not a rebuild.

Why not just point our agents at a shared drive, a wiki, or a plain vector database?

Because access isn't the same as authority. A shared drive or a vector database finds things — it doesn't tell an agent what's actually true right now. ContextNest separates raw text from approved truth: agents only read what a human steward has verified and versioned, not whatever's floating around in a folder somewhere. Finding is different from trusting.

Couldn't one agent just remember things on its own, the way some AI tools do now?

That gives one agent persistent memory inside one tool. The moment you add a second agent, or switch models, it's back to zero. ContextNest is the same governed vault behind every agent and every model you use — memory that travels with your team, not memory locked inside one chat window.

What's the difference between ContextNest and PromptOwl?

ContextNest is the free, open-source memory layer — it organizes your team's knowledge into a governed vault any agent can read. PromptOwl is what you add to build agents on top of that vault, control which ones can act on it, and keep the audit trail.

Can ContextNest build agents on its own?

No — ContextNest governs the knowledge. PromptOwl is what turns it into an agent you can run. Add PromptOwl when you're ready, and the vault you already built becomes the agent's foundation. Nothing to rebuild from scratch.

Does this replace our RAG setup?

Not necessarily — they solve different problems. ContextNest handles knowledge that changes and needs approval: policies, decisions, runbooks. RAG is still the right tool for large, static document sets. PromptOwl governs both as connected layers, so your agents can draw on either without you managing two disconnected systems.

Does our knowledge have to leave our infrastructure?

No. Most teams run this hosted on PromptOwl, and it still doesn't train on your data — PromptOwl runs its own model layer, so your knowledge and prompts never touch a public training pipeline. If your team needs the vault to stay entirely on your own infrastructure, ContextNest also runs fully self-hosted, and any MCP-compatible agent can point at it right where it sits.

Is PromptOwl compliant enough for our security team?

PromptOwl is SOC 2 certified, HIPAA compliant, and GDPR-ready, with a full audit trail of what every agent did and what it knew when it did it. Data processing agreements are available on request.

See the trust center for the full evidence

Every Agent You Run, Accountable. Starts Today.

Free to install. No card required. Organize what your team knows, connect the agents you already run, and add PromptOwl whenever you're ready to build more.

Get PromptOwl free →Get a demo →