AI Agent Studio
70% of support tickets → automated 58% LLM cost reduction, month one First working agent in 4–6 weeks

Your AI agents.
Not prototypes.
In production.

We design, build, and deploy autonomous agent systems — with memory, multi-model routing, and MCP integrations built in from day one.

Book a free strategy call See how it works
4–8 weeks to production
200+ models routed
Open source core — no lock-in
1,347 tasks automated today

Built on the best models & infrastructure

OpenAI
Anthropic
LangChain
PostgreSQL
Docker
Go
Python
pgvector
MCP
Gemini
Redis
OpenAI
Anthropic
LangChain
PostgreSQL
Docker
Go
Python
pgvector
MCP
Gemini
Redis

The problem

Most AI projects die between demo and production.

You've seen it before. The prototype works on Monday. By Friday, it's hallucinating, missing edge cases, and burning through your API budget.

65%
experiment with AI agents

But less than 25% ever get them to production. The gap isn't in the technology — it's in the engineering.

3–6 mo
wasted on wrong architecture

Teams rebuild from scratch when they realize the demo architecture can't handle real data, real users, or real scale.

$50K+
burned on prototypes that don't scale

The cost of learning the hard way. Wrong model choice, no fallbacks, no cost routing, no memory architecture.

See how we solve it

Services

Four systems that run while you sleep.

Production systems — with monitoring, fallbacks, and memory built in from day one. Ready to handle real workloads the moment they launch.

Autonomous AI Agents

Agents that handle real workflows end-to-end — customer support, operations, sales, internal tools. They reason through problems, use your tools, remember context across conversations, and act without hand-holding.

Multi-model routingLong-term memoryTool use

MCP Integrations

Connect your CRM, ERP, databases, and internal APIs to AI agents via Model Context Protocol — the new standard for how agents talk to your stack. Plug-and-play, secure, and future-proof.

Any APICross-platformEnterprise security

Workflow Automation

We don't bolt AI onto broken processes. We redesign your workflows with agent-first thinking — autonomous where it's safe, human-in-the-loop where it matters. Less manual work, fewer errors, lower costs.

Process redesignHuman-in-the-loopCost optimization

AI Strategy

Not sure where to start? We audit your operations, identify the highest-ROI automation opportunities, and build a pragmatic roadmap. No hype decks — just clear next steps with real numbers attached.

Readiness auditTech selectionROI roadmap

Process

From first call to production in 4–8 weeks.

Every project follows the same battle-tested framework. No surprises, no scope creep, no throwaway prototypes.

01
Week 1

Discovery & Audit

Deep-dive into your workflows, data sources, and infrastructure. We identify the highest-impact automation opportunities and kill the low-ROI ideas before any money is spent.

Deliverable: Opportunity map with effort/impact scoring
02
Week 2

Architecture

Design the full agent system — model selection, tool integrations, memory architecture, safety guardrails, and deployment strategy. Every decision documented before writing code.

Deliverable: System design document + technical spec
03
Weeks 3–6

Build & Iterate

Iterative development with weekly demos. Production-grade from day one — monitoring, fallbacks, error handling, tests. You see working agents from week 3, not a big reveal at the end.

Deliverable: Working agent system with monitoring dashboard
04
Ongoing

Deploy & Optimize

Deploy to your infrastructure, monitor real usage, and optimize based on actual business KPIs — not vanity metrics. We train your team and stay until the system runs independently.

Deliverable: Production deployment + team documentation + optional retainer

How we compare

The fastest path from idea to production AI.

Not the only option — but the one that ships fastest, costs least, and leaves you in full control.

Recommended Hully
Freelance
AI Engineer		 Big Agency In-house
Team
Time to first agent 4–6 weeks 3–6 months 4–8 months 6–12 months
Full architecture included ✓ Sometimes ✓ Depends
Open source / auditable ✓ Varies ✗ —
Multi-model cost routing ✓ Rare ✗ Rare
You own all code ✓ ✓ ✗ ✓
Vendor lock-in None Low High —
Typical cost $15K–$80K $80K+/yr $200K+ $400K+/yr

Cost estimates are approximations for a typical mid-market AI agent project in 2025.

Why us

What you can't get from a bigger agency.

We ship faster, own less overhead, and build on open-source you can audit. Here's what that means in practice.

Open source core

Built on our own open-source framework. You own 100% of the code and can fork, extend, or replace us at any time. Zero vendor lock-in.

Senior-only execution

No juniors learning on your dime. Every hour is expert-level work from engineers who've shipped AI systems across multiple industries.

Monitoring from day one

Every system ships with full tracing, fallbacks, error handling, and alerting built in. You see exactly what your agents are doing — before and after launch.

Full-stack AI

Strategy, architecture, development, deployment — one partner for the entire journey. Zero handoffs between teams, zero context lost.

Smart cost routing

200+ models routed by task complexity, cost, and performance. Simple queries go to cheap models. Complex reasoning goes to the best. LLM costs drop up to 60%.

Your infrastructure

Deploy on your cloud, your VPC, your rules. Your data never touches our servers. We configure, you own — permanently.

What clients say

Real systems. Real results.

"We'd evaluated two other AI vendors. Both delivered great demos, zero production code. Six weeks with Hully and we had a live agent closing 70% of tier-1 support tickets without human review. It's been running four months, incident-free."

MR
Marcus R.
VP Engineering · Series B SaaS (fintech)

"The architecture review in week one was worth the entire project budget. Anatoly caught a memory design flaw that would have forced a full rebuild in month four. We skipped that $200K detour and shipped on time."

SK
Sarah K.
CTO · AI-first startup (legal tech)

"LLM cost down 58% in month one — not from cutting quality, but from routing simple requests to cheaper models automatically. 18,000 product Q&A requests handled daily, zero human review, no regressions."

DL
David L.
Head of Product · E-commerce platform

About

Who's behind this.

Anatoly Koptev — Founder of Hully

Anatoly Koptev

Founder & Lead Engineer · San Francisco

15+ years building products, platforms, and communities — from tech events with 16,000 attendees to web properties serving 350K monthly users.

Four years ago, I went deep into AI infrastructure. Not the hype — the hard problems: agents that actually reason, memory systems that actually persist, routing that actually saves money.

I built Krolik — an autonomous AI framework with long-term memory, MCP tool integration, and multi-model routing. Now I build production AI systems for companies that are done experimenting.

Technology

The stack behind every system we ship.

We don't just use AI tools — we build them. Our agents run on open-source technology we designed, tested, and deploy in production every day.

YOUR STACK CRM · DB · APIs any source MCP LAYER Custom Connectors secure · auditable pgvector memory KROLIK CORE Agent Runtime router · memory · tools 200+ models fallback · tracing OUTPUT Action taken ticket · alert · reply Semantic Memory

Model Context Protocol

Custom MCP servers that connect your entire stack — CRMs, databases, APIs — to AI agents securely.

Multi-Agent Systems

Specialized agents that collaborate, delegate tasks, and check each other's work autonomously.

Semantic Memory

PostgreSQL + pgvector. Your agents remember every interaction, learn from patterns, improve over time.

Intelligent Routing

Automatic model selection by task type, cost tier, and performance history. Always the right brain for the job.

Safety & Guardrails

Content filtering, output validation, human-in-the-loop triggers, and rollback mechanisms built into every agent.

Observable by Default

Full tracing, logging, and monitoring. You see exactly what your agents are doing and why.

Krolik — AI Agent Framework

Open source

Open source tools we deploy in production.

Transparent tooling means auditable code and no surprises for your team. Everything below runs in real client systems.

krolik
Python

Krolik — Autonomous AI Worker

24/7 autonomous agent with Telegram/WhatsApp gateway, semantic vector memory, and 5-tier cost-aware routing across 200+ LLM models. Proactive actions via cron, MCP tool execution, cascade fallback. The core runtime we ship to every client.

View on GitHub
moonshine-whisper
Go

Moonshine Whisper — Fast Speech-to-Text

EN+RU speech-to-text HTTP service. Moonshine + Zipformer via sherpa-onnx. 0.34s per 11s audio on ARM64 — 2.4× faster than faster-whisper. Both models in-memory, no cold start. Docker-ready.

View on GitHub
dozor
Go

Dozor — AI-First Server Monitoring

MCP-native Linux server monitoring: Docker Compose, systemd, remote hosts via SSH. Auto-triage in one call, zero-config service discovery, security audit, deploy tracking. Built for AI agents, not dashboards.

View on GitHub
openclaw-memos-lifecycle-plugin
JS

OpenClaw MemOS Lifecycle Plugin

Memory bridge between OpenClaw and MemOS. Auto-saves typed memories (profile/skill/task/event) after every conversation, retrieves relevant context before each turn. LLM reranker filters noise. Non-fatal — MemOS outages never crash the agent.

View on GitHub
n8n-mcp-agent
TS

n8n MCP Agent

38 MCP tools giving AI agents full n8n API access: 4,343 workflow templates, 268 integrations, credential factories (Google, Slack, Telegram, OpenAI), execution helpers with retry and SSRF protection. Published on npm.

View on GitHub
krolik-cli
TS

Krolik CLI

AI-assisted development toolkit for TypeScript projects. Automates scaffolding, refactoring, and code review via configurable agent pipelines.

View on GitHub
See all repositories on GitHub

ROI Calculator

What's your automation worth?

Move the sliders to match your team — see the real numbers.

500
505,000
0.5h
0.1h2h
$50
$20$200
60%
30%90%
Monthly savings
$7,488
Payback period
8 wks
12-month ROI
499%
Get my custom ROI breakdown

Live demo

Talk to the agent. Right now.

This is a real AI agent — the same stack we deploy for clients. Ask it anything about automation, workflows, or what AI can do for your business.

Powered by Hully's production agent stack · Want this for your team?

FAQ

Questions we hear most.

Can't find your answer? Get in touch — we respond within 24 hours.

How much does a typical engagement cost?

Most projects range from $15K–$80K depending on scope. A focused single-agent system starts around $15K. Multi-agent platforms with complex integrations are on the higher end. We always start with a free strategy call to scope your needs before quoting.

How long until we see results?

First working agent in 4–6 weeks. Full production system in 6–10 weeks. We ship iteratively — you'll see weekly demos from week 2, not a big reveal at the end.

What if our existing systems are complex or legacy?

That's exactly what MCP (Model Context Protocol) solves. We build custom connectors to your CRM, ERP, databases, and internal APIs — no matter how old or fragmented they are. Your agents talk to your stack, not the other way around.

Do we need an internal AI team?

No. We handle everything from architecture to deployment. You need one business stakeholder who understands the workflows and can validate results. We'll also document everything and train your team to operate the system independently.

What happens after the project ends?

You own 100% of the code and infrastructure. We offer optional retainer support for optimization and monitoring. Since everything runs on your cloud and our core is open-source, you're never locked in.

How is this different from hiring an AI engineer?

An AI engineer gives you one person. We give you a full production system — architecture, multi-model routing, memory, monitoring, deployment — built by someone who's already solved these problems across multiple engagements. Faster, cheaper, and battle-tested.

Get started

Let's see if AI agents make sense for your business.

Free 30-minute strategy call. No pitch deck, no pressure — just honest analysis of where AI can (and can't) help your team.

We respond within 24 hours
No commitment required
Clear go/no-go recommendation
30-minute Zoom — free, always
Or email directly
[email protected]

Free 30-min call · No commitment · Reply within 24h

Ready to ship? Free strategy call · No commitment
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