Smartopol, LLC · Delaware, USA

Agentic AI, engineered for production.

Smartopol builds the runtime, the memory layer, and the deployments behind AI agents that companies rely on.Runs on your infrastructure. Built on our own technology.

Delaware, USA·Proprietary agent runtime·On-prem and private cloud·Model-agnostic
01 / Platform

One platform. Two layers.

The Smartopol Agent runtime executes work inside your environment. Memory Pyramid gives it durable, structured context. Both are built and maintained by Smartopol.

Production

Smartopol Agent

Agent runtime for companies. Executes tasks across your tools with scoped permissions, an append-only audit trail, and memory recall measured in milliseconds. Deploys on-prem, in private cloud, or on operator machines. Bring your own models.

Deployment: on-prem · private cloud · workstation
Request access →
Free to use

Memory Pyramid

Persistent, structured memory for any MCP-capable agent. Hierarchical layers instead of vector blobs. Local-first. Written in Rust. Free to use.

Public release: October 1, 2026 · MCP-compatible
Learn more →
02 / Works with

Agents and models you already use.

Standards-based. Connects over MCP to the agents and models your teams already run. No vendor lock-in.

Coding agents

  • Grok BuildxAI coding agent
  • CodexOpenAI coding agent
  • Claude CodeAnthropic coding agent
  • Qwen Code · Kimi CodeAlibaba · Moonshot
  • Cursor · Cline · ContinueEditor agents

Models · October 2026

  • Claude Opus 5.5Anthropic
  • Claude Sonnet 5.5Anthropic
  • Claude Haiku 5.5Anthropic
  • GPT-6.1 SolOpenAI
  • Gemini 3.8 FlashGoogle · recommended
  • Grok 4.7xAI
  • Kimi K3Moonshot
  • Qwen3.8 MaxAlibaba
  • GLM 5.3Z.ai · recommended
  • DeepSeek V4.1 FlashDeepSeek · recommended
  • OllamaLocal models · bring your own

When a session restarts or you switch tools, memory stays. Standards-based (MCP), not locked to one stack.

03 / Why Smartopol

Why Smartopol.

① Technology

Our runtime. Our memory layer.

Smartopol builds the core stack itself, in Rust, and ships it as a product. Companies get one accountable vendor for the agent layer instead of a chain of dependencies.

② Control

Runs inside your perimeter.

Default deployment is local. Every tool call is scoped and logged. Data stays where your security team decides it stays.

③ Performance

Speed you can measure.

Memory recall in milliseconds, not seconds. Agents that respond fast enough to sit inside real workflows, not next to them.

04 / Solutions

Built with companies. Deployed in production.

Smartopol works directly with companies that are putting agents into real operations: internal tooling, customer-facing products, regulated environments. We bring the runtime, the memory layer, and the engineers who built them.

How we work with companies →

Completed project

Termio

Appointment app for salons with a built-in AI agent. Built and published by Smartopol, LLC. Live on Google Play, the App Store and Huawei AppGallery. More about the project soon.

Support: support@smartopol.com
termioagent.com →
In production

Tas Vage ERP · CRM

Orders, customers and sales for international distribution of professional hair and beauty products. A sales rep picks a customer, the agreed terms and discounts load on their own, and the order goes from the catalog to the warehouse without Excel.

Built and developed by Smartopol
Learn more →
Live

WebTrag

Serbian search engine and business directory. Over 200,000 companies and 75,000 websites with contacts and maps, plus daily price comparison across Serbian retail chains.

Market: Serbia
webtrag.rs →
05 / Security

Secure by default.

Local execution. Scoped tool permissions. Append-only audit logs. No SaaS login required to run the binary.

Security disclosures: contact@smartopol.com with [SECURITY] in the subject line.

06 / Start

Put agents to work in production.

Tell us what you are building. You get a direct assessment and a next step.