NemoClaw Agents For YouYour Private AI Agent. Sandboxed, Secure, and Built Just For You.
We custom-engineer 24/7 autonomous agents deployed entirely in your cloud. Kernel-level sandboxing. Your keys never leave your server. Every connection whitelisted, every action auditable.
The SaaS Trap
Most AI solutions expose your data, forget who you are, and can't lift a finger. You deserve more than a fancy chat window.
Every time an employee pastes something into ChatGPT, that data leaves your company. Most AI tools are shared services and your security team has no way to see it.
Our agent runs on infrastructure you control. A strict network sandbox means it can only contact services you've approved. Nothing else. Your data never leaves your pipeline.
Every chatbot forgets your role, your team, your preferences mid-chat. Long conversations cause AI to lose track of details you mentioned earlier.
Our agent keeps a persistent memory across sessions. Your projects, preferences, and past decisions are always loaded and ready. You never start from scratch.
Chatbots give you answers. You still have to do everything yourself. They can't send the email, update the doc, or book the meeting. They just tell you what to type.
Our agent takes action on your behalf, drafting emails, filing docs, and flagging conflicts. You stay in control: anything sensitive requires your approval before it fires.
How It Works
Our NemoClaw 🦞 architecture uses OpenClaw with advanced security.
NemoClaw Agent System
A sandboxed, 24/7 AI agent for content creation, knowledge management, and daily operations — powered by NVIDIA NemoClaw, Gemini 3.1 Pro, and OpenClaw.
Client
YouTube strategy, script writing, Google Workspace ops, and knowledge management on a dedicated GCP VM.
GCP e2-standard-4
4 vCPU · 16 GB · Ubuntu 24.04
82 Videos Indexed
RAG via sqlite-vec · 3072-dim
Telegram Bridge
24/7 · Node.js
24/7 Heartbeat
8 AM brief · 9 PM wrap · 30-min cycle
Stack
Sandbox Isolation
Approval Controls
YouTube RAG Pipeline
82 iQ Studios videos ingested. The agent searches the knowledge base to write scripts in the founder's voice.
Day-One Output
“You don't need a super-intelligent AGI to change the world today — you just need a team of AI agents. Take the models we already have and connect them...”
YouTube short script — generated in the founder's voice from 82 ingested channel videos.
One-week MVP build
A sandboxed, 24/7 agent system. NemoClaw wraps OpenClaw inside OpenShell with RAG over the data sources you choose.
MVP build
End-to-end delivery of a sandboxed, 24/7 agent wired into your data and communication tools.
- GCP VM with containerised agent runtime
- Gateway-routed LLM (keys off the sandbox)
- Telegram chat interface + systemd persistence
- RAG pipeline over your chosen data sources
- Google Workspace hooks (Gmail, Drive, Calendar)
- Docs and file map so your team owns it
Ongoing retainer
Add new tools, integrations, or capabilities as your needs evolve.
- New tool integrations (Slack, GitHub, APIs...)
- Additional RAG corpora and data sources
- Scheduled jobs and cron-driven workflows
- Monitoring, alerting, and observability
- Memory tuning and prompt improvements
- Infrastructure upgrades and maintenance
- GCP Compute Engine (e.g. e2-standard-4), Ubuntu LTS
- Docker + k3s (OpenShell cluster) with sandboxed agent pod
- Landlock, seccomp, and network namespace hardening
- Egress proxy + whitelisted APIs (default-deny outbound)
- Inference via gateway (e.g. Gemini)—keys stay off the sandbox
- Telegram bridge + systemd persistence for reboots
- Ingestion + chunking tuned to your sources
- Vector store (SQLite + sqlite-vec) and semantic search
- Embeddings via cloud API (e.g. Gemini Embedding)
- OpenClaw workspace memory (SOUL, USER, AGENTS, daily logs)
- Heartbeat jobs (e.g. ingest queue, briefings)
- Prompting so the agent queries RAG before high-stakes output
- Minimal OAuth scopes (Gmail, Drive, Calendar, Docs as needed)
- gws / API patterns with tokens isolated from daily-driver machines
- Approval rules for send email, calendar writes, doc changes
- Optional: pod monitoring, upgrades, memory compaction, support
- Documentation and file map so your team owns the box
- Monthly performance check-ins on retainer
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.
Network egress policy diagrams
k3s cluster configuration examples
SQLite vector search implementation guide