Done-For-You AI Engineering🌽

Your Private AI Agent. Sandboxed, Secure, and Built Just For You.

We custom-engineer always-on autonomous agents deployed entirely in YOUR cloud infrastructure. No shared databases. No public wrappers. Total data sovereignty.

Google Cloudk3s ClustersLandlock + seccompSQLite Vector DB
The Problem

The "SaaS Wrapper" Trap

Most AI solutions expose your data or forget everything you tell them. You deserve better.

Data Leaks
You can't put corporate secrets into a public ChatGPT wrapper. We isolate your data at the kernel level.

Every query you send to SaaS AI tools becomes training data. Your competitive advantage? Gone.

Context Amnesia
Standard bots forget who you are. Our agents use local SQLite vector databases to remember every project and preference.

Without persistent memory, you're re-explaining context every single conversation.

Lack of Action
Chatbots just talk. Our agents securely draft emails, manage Google Drive, and summarize your calendar with human-in-the-loop approval.

A chatbot that can't take action on your behalf is just an expensive autocomplete.

The Solution

How It Works

Our NemoClaw/OpenClaw architecture delivers enterprise-grade security with consumer-grade simplicity.

Kernel-Level Sandboxing
We wrap OpenClaw inside an OpenShell k3s cluster using Landlock and seccomp. Your agent cannot physically leak data.
# Network egress: default-deny
# Syscalls: allowlist only
# Filesystem: isolated namespace
Google Workspace Native
Secure, refresh-token-based access to Gmail, Docs, and Calendar without triggering public API flags.
# OAuth2 scopes: minimal
# Token refresh: automatic
# Audit log: complete
Always-On Heartbeat
Runs on a continuous loop, summarizing your day at 9 PM and prepping your calendar at 8 AM.
# Cron: 08:00 -> morning_brief()
# Cron: 21:00 -> daily_summary()
# Loop: continuous inference

2-Minute Demo Video

See the Telegram bridge and human-in-the-loop approval flow

Investment

Done-For-You Services & Running Costs

You own the infrastructure. We build and maintain it.

~$120
/month per agent

The Operating Cost

This is paid directly to Google Cloud for your dedicated e2-standard-4 VM. You also use your own LLM API key (Bring Your Own Key) so you only pay for exactly the inference you use. We take zero markup on your compute.

The Foundation Build
Everything you need to get your private AI agent up and running.
  • GCP VM provisioning (e2-standard-4)
  • k3s cluster deployment
  • Network policy egress proxies
  • Telegram bridge configuration
  • Initial security hardening
  • Documentation handoff
Deep Knowledge RAG Pipeline
Transform your data into persistent agent memory.
  • YouTube channel ingestion
  • Company wiki import
  • Google Drive folder sync
  • Local sqlite-vec database
  • SOUL.md brand voice tuning
  • Custom prompt engineering
Managed Operations Retainer
Ongoing maintenance so you never have to worry.
  • Pod restart monitoring
  • OpenClaw version updates
  • Memory compaction cycles
  • System prompt optimization
  • Priority support channel
  • Monthly performance reports
About the Architect

Built by an Engineer, For Leaders

🌽

kernel_agent_architect

San Francisco, CA

AI Engineer

Kernel Agents is built by a San Francisco-based AI Engineer specializing in OpenClaw. The focus is always on shipping production-ready AI infrastructure.

We don't just prompt—we build the engine.

Dedicated VM
LLM APIs
Agent tools
RAG pipelines
Sandbox & hardening
Free Resource

Get the Kernel Sandbox Blueprint. 🌽

Receive our complete architecture diagram detailing how we enforce default-deny egress policies and secure local vector search. Understand exactly how we keep your data locked down.

1

Network egress policy diagrams

2

k3s cluster configuration examples

3

SQLite vector search implementation guide

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