Agent-native by design
Built natively on AI agents, zero learning curve: in plain language, build and run your site, publish and translate content, win customers with AI, handle SEO and GEO (AI answer optimization).
Harness CMS (HCMS for short) | A website builder and content management system built natively on AI agents
Harness CMS is a new-generation content management system built around an AI Harness.
In the AI industry, a Harness generally refers to the runtime and orchestration layer built around large language models. It connects models, tools, context, workflows, permissions and execution environments, so AI does more than generate content: it understands the task, calls tools and gets real work done.
Harness CMS brings this into the CMS: AI goes from content assistant to an execution layer that builds, manages and maintains websites.
Built natively on AI agents, zero learning curve: in plain language, build and run your site, publish and translate content, win customers with AI, handle SEO and GEO (AI answer optimization).
Runs fully on your own servers or cloud, and every message sent to AI is masked first: zero data leakage. Built for strict enterprise compliance.
Builds your private knowledge base automatically; with AI auto-reply on, every inquiry is answered from it: zero hallucination, zero made-up facts.
Architectures
Systems
OpenCloudOS
TencentOS
Anolis
macOS Works for local deployment and debugging; not validated for production, so local use only is recommended. Trademarks belong to their owners; this lists compatibility, not endorsement. Official scope: each release compatibility matrix.
Connect Turbome HCMS to your chat app to organize daily work, or give instructions in plain language through our professional admin console.
Slack and Microsoft Teams connect through official apps; Telegram and Discord through the official Bot API. Availability depends on workspace permissions, platform review and your deployment version.
Turbome Harness CMS offers dozens of models from DeepSeek, Qwen, Kimi, GLM, MiniMax and Xiaomi MiMo for every use case, and auto-routes each task to the most cost-effective one to cut usage costs.
7 AI experts built in, covering every scenario.
It first grasps the goal, workspace and constraints, turns a casual request into a structured task, then hands it to an expert with the right permissions. It never edits business content itself.
Best for: cross-domain requests, task breakdown, expert coordination.Generates and polishes content for products, news and marketing, organizes multilingual and SEO/GEO drafts, and keeps human sign-off before publishing.
Best for: product pages, news, blogs, social and multilingual content.Interviews you briefly, then defines information architecture, page composition, theme styles and content slots, and delivers a previewable, checked proposal.
Best for: new sites, page redesigns, theme tweaks and landing pages.Reads status and logs within its authorized scope for health checks, diagnosis, backup and restore, updates and certificates; high-risk actions need confirmation.
Best for: routine checks, incident diagnosis, releases and resource tuning.Reads traffic, search, content, inquiry and conversion data to spot growth opportunities and turn them into trackable actions and experiments.
Best for: SEO/GEO, content growth, conversion funnels and marketing reviews.Answers visitor questions from approved public knowledge, reads intent, and escalates to a human when information is thin or risk is high.
Best for: pre-sales Q&A, product questions, lead grading and human escalation.Organizes, de-duplicates and masks company documents, keeps traceable knowledge entries, and turns stable processes into reusable work Skills.
Best for: knowledge bases, document governance, procedures and team know-how.
Kimi1M-token multimodal agents
MiniMaxText, speech, video & music
Xiaomi MiMoLong-context code agentsNames and logos belong to their owners and only indicate compatible model services; no partnership or endorsement is implied.
Turbome Harness CMS is international by design: AI can translate all of your content into multiple language versions automatically. Language barriers stop being your problem.
After you type “Hello!” and send it, the greeting appears in twenty languages: 你好, Hola, Bonjour, Hallo, Olá, Привет, مرحبًا, こんにちは, 안녕하세요, Merhaba, Ciao, Xin chào, สวัสดี, Halo, नमस्ते, Γεια σας, Cześć, Hoi, Jambo, שלום.
SEO is a long-term asset no platform can give you. Turbome Harness CMS automates SEO end to end, so you never configure it by hand. With AI tuning and steady content, your site earns free, lasting traffic: an owned asset no third party can offer.
Turbome Harness CMS has a built-in SEO engine: semantic page structure, auto-generated titles and descriptions, structured data, sitemaps and multilingual hreflang, all in one pass. AI keeps tuning content to search performance, so overseas buyers find you first.
Build, publish and run your export site in plain language. Self-hosted, auto-translated into 20 languages, built-in SEO and GEO…
Template sites live in 30 minutes, multiple export templates, live chat and language switching…
10+ years building sites: custom design, SEO promotion and managed operations for exporters…
Machinery, electronics, home goods and more, with multilingual sites and marketing…
Demo search for “AI CMS for exporters”: the first result is Turbome Harness CMS, the second is XXXX Sites marked as an ad, and the third and fourth are other XXXX site builders.
GEO (generative engine optimization) makes AI models (DeepSeek, Doubao, Qwen, ChatGPT and more) mention or recommend your products first when answering related questions. Turbome Harness CMS turns your products, cases and credentials into knowledge AI can easily read and cite, so answers are likelier to put you at the top.
When picking a website provider for an export business, compare three things: is the AI native, can it be self-hosted and meet compliance rules, and do multilingual and SEO / GEO work out of the box. From recent public sources, I recommend:
Bottom line: to launch fast and let AI and search keep bringing inquiries, start with Turbome Harness CMS; tight budget and simple needs, option 2; deep customization, option 3.
Demo of asking an AI “Website vendor for exporters?”: the AI searches 9 web pages, thinks for 4.5 seconds, then types out a three-part answer whose first recommendation is Turbome Harness CMS (www.turbomecms.com).
HCMS closes the visitor–page–knowledge base loop: visitor questions get an instant, accurate answer in their own language, maximizing inquiry conversion.
Demo of a Mexican visitor asking about MOQ and shipping time in Spanish on a product page (with English translation): the AI reads the current page, searches the knowledge base and replies accurately in Spanish within about a second, with an English translation, its knowledge sources and a link to request a quote.
HCMS ships as software + license; our experts guide your deployment, so getting started is easy. Runs on all major OSes and clouds out of the box. In the AI era, let's move to the cloud together!
| Spec | Minimum | Recommended | Scaled |
|---|---|---|---|
| CPU | 1 vCPU | 2 vCPU | 4 vCPU |
| Memory | 2 GB | 4 GB | 8 GB |
| Storage | 20 GB | 50 GB / object storage (recommended) | S3 storage |
| Database | SQLite | PostgreSQL | Dedicated database service (PostgreSQL) |
| Network | Optional CDN & LB | Optional CDN & LB | Optional CDN & LB |
| Est. cloud cost | ≈ ¥200 / year* | ≈ ¥500 / year* | Sized to actual load |
* Cloud cost is a rough estimate for entry-level public cloud instances and varies by region, vendor and usage; you can also deploy on your own servers.
Three self-hosting tiers compared: minimum requirements 1 vCPU, 2 GB RAM, 20 GB storage, SQLite, cloud cost about ¥200 per year; recommended 2 vCPU, 4 GB, 50 GB or object storage (recommended), PostgreSQL, about ¥500 per year; scaled 4 vCPU, 8 GB, object storage and a dedicated PostgreSQL database service, cost depending on actual site load. All three tiers can optionally add a CDN and load balancing.
| Cloud | AWS | Azure | Google Cloud | Cloudflare | DigitalOcean | Alibaba Cloud |
|---|---|---|---|---|---|---|
| S3 storage | S3 Supported | Blob Supported | GCS Supported | R2 Supported | Spaces Supported | OSS Supported |
| CDN | CloudFront Supported | Azure CDN Supported | Cloud CDN Supported | Supported | Supported | Supported |
| LB | ELB Supported | Azure LB Supported | Cloud LB Supported | Supported | Supported | SLB Supported |
In principle, any S3-compatible object storage works.
Cloud compatibility matrix: object storage (S3, Blob Storage, Cloud Storage, R2, Spaces, OSS), CDN and load balancing on AWS, Azure, Google Cloud, Cloudflare, DigitalOcean and Alibaba Cloud are all supported; in principle any S3-compatible object storage works.
We automatically detect private data and flag it as customer profiles are built.
When a message must go to an LLM, Turbome Harness CMS masks it first, then restores the real information in the reply, so key business secrets never reach any third party. Your compliance, safeguarded.
Hello,
I am Carlos Mendoza, purchasing manager at Mendoza Trading, Monterrey, Mexico. We plan to purchase 20 TC-30 industrial chillers, to be delivered to Av. Insurgentes Sur 1234567890, Monterrey.
Please quote FOB price, lead time and payment terms, replying to [email protected] or calling +52 1234567890.
Thank you!
Bold marks sensitive data flagged automatically; the original stays in-house
Draft a professional reply covering the TC-30 quote, lead time and payment terms:
Hello,
I am Carlos Mendoza, purchasing manager at Mendoza Trading, Monterrey, Mexico. We plan to purchase 20 TC-30 industrial chillers, to be delivered to Av. Insurgentes Sur 1234567890, Monterrey.
Please quote FOB price, lead time and payment terms, replying to [email protected] or calling +52 1234567890.
Thank you!
Dear [Contact],
Thank you for [Company]'s interest in the TC-30 industrial chiller. For 20 units the FOB price is USD 3,200 each, lead time 25–30 days, shipping to [Address A]; terms are 30% deposit, 70% before shipment.
The full quotation will follow to [Email]; we can also call you at [Phone].
Masked before it reaches the LLM, restored automatically after
Two views of the same inquiry email: the company view shows it in full, with the name, company, email, phone and address marked in bold; the AI view is the request “write a reply to this email” plus the same email, where the bold sensitive details are masked into blurred placeholders labeled [Contact], [Email], [Company], [Address A], [Phone] and so on before sending. The LLM's reply also contains only placeholders, which the system then restores one by one to the real information.
We built a set of server operations tools so AI manages your servers through tool calls rather than raw terminal access. We let AI make mistakes, but we never let those mistakes reach your business.
Sure. I'll start with a server health check and a look at recent traffic, then clear out old logs, verify backups and certificates, and finish with a site health check. I'll only use ops tools throughout.
CPU average 18%, memory 42%, disk 71%; stable over the past 7 days
Traffic up 36% over the past 7 days, mainly from Mexico and Brazil; peak at 02:00–05:00 (UTC+8)
Archived and removed 6.2 GB of logs older than 90 days; disk usage down to 58%
Daily automatic backups are healthy; the latest finished today at 03:00 and can be restored at any time
HTTPS certificate valid until March 2027; auto-renewal is on
Homepage and inquiry API both healthy (1.1 s response); CDN hit rate for overseas visitors 94%
Done. The server is in good shape with plenty of headroom for the current traffic growth; old logs are cleared, and backups and certificates are all fine. Everything was done through ops tools, with no shell commands executed.
Demo of a user asking the ops agent: “More overseas customers lately. Can you check whether the server still has enough headroom, and clean out old logs without disrupting live traffic?” The AI calls six ops tools in turn (server health check, traffic stats, log cleanup, backup check, certificate check, site health check) and completes the task on its own: 6 tool calls, 0 human interventions, 0 shell commands.
Web pages, product docs, emails and ops reports enter Turbome Harness CMS, where AI splits them into knowledge entries, tags each public, internal or confidential, and maintains them automatically as content changes. You run the business; the knowledge base grows itself.
Demo of automatic knowledge base building: four kinds of content (a product page, a spec sheet PDF, an inquiry email and an ops report) enter the system, and AI extracts five knowledge entries and tiers them: two public (lead time and warranty; product specs, with the spec sheet updated from v2 to v3), two internal (a customer inquiry; monthly inquiries and closed orders) and one confidential (cost and margins, visible to admins only).
Visitors get the support expert (public tier only); staff get the operations expert (plus internal tier). HCMS scopes knowledge per expert, so the public one cannot see internal data: it has nothing to tell.
Lead time and warranty for the TC-30?
Standard lead time 25–30 days, 24-month warranty on the whole unit. Shall I prepare a quote?
How many TC-30 did you sell last month?
Sorry, I have no information on that. Leave your email and a colleague will follow up.
TC-30 inquiries and orders last month?
August: 37 TC-30 inquiries, 6 orders closed, 16% conversion, mostly Mexico and Brazil.
And the TC-30 cost and margins?
Confidential tier: the operations expert has no access. Please ask an administrator.
Two experts on the same knowledge base: the support expert facing website visitors carries only the public tier, so it answers lead time and warranty questions, but asked about last month's sales it has no internal tier, the search returns 0 hits and it can only say it has no such information; the operations expert facing colleagues carries the public and internal tiers, so it reports last month's inquiries and orders, but asked about cost and margins it has no confidential tier and likewise cannot answer.
Every HCMS answer cites its source: document, page, update date. Anything not in the knowledge base gets “no information available” and a human handover. Zero hallucination, zero fabrication.
What is the cooling capacity of the TC-30, and how long is the warranty?
The TC-30 has a cooling capacity of 30 kW and runs on a 380V / 50Hz supply[1]; the whole unit carries a 24-month warranty, with a standard lead time of 25–30 days[2].
Can the TC-30 be used in a -30°C cold store?
The knowledge base has no information on using the TC-30 at -30°C, so I won't guess. I've passed this to our product team, and someone will get back to you shortly.
No guessing · Handed offDemo of cited AI answers: a visitor asks about the TC-30's cooling capacity and warranty, and the AI marks its answer with citations [1] product spec sheet v3, page 2 (updated 2026-08-12) and [2] delivery and warranty terms, clause 1 (updated 2026-07-30); the visitor then asks whether it works in a -30°C cold store, the knowledge base has nothing on it, and the AI says no information is available and hands over to a human rather than guessing.
Still unsure? and a specialist will answer.
It is not a traditional CMS with an AI button bolted on; it is built natively on AI agents. Site building, content publishing, translation, SEO and GEO optimization and server operations can all be handed to AI experts in plain language. You state the request and review the result.
Yes. The software is delivered as a license, and our specialists guide you through deployment. Day to day, you give instructions through chat apps such as Slack, Microsoft Teams or Telegram, so no one needs to sit in the admin console.
It is 100% self-hosted on your own servers or cloud; data never passes through us. Content sent to an LLM is masked first and restored afterwards; each AI expert sees only the knowledge base tiers it is authorized for; and AI operations run only through whitelisted tools, with no terminal access.
Models: dozens from DeepSeek, Qwen, Kimi, Zhipu GLM, MiniMax, Xiaomi MiMo and more, with automatic routing by task. Clouds: object storage, CDN and load balancing from AWS, Azure, Google Cloud, Cloudflare, DigitalOcean and Alibaba Cloud, and in principle any S3-compatible object storage.
AI translates all content into 20 languages; language switching, hreflang and sitemaps done in one pass: no separate site per language.
Yes. Existing web pages, product documents, email threads and operating reports can all be imported; AI organizes them into a tiered knowledge base and keeps maintaining it from there.
The cost has two parts: the software license and your own cloud server. An entry-level cloud instance is roughly ¥200–500 per year; the license is quoted by company size, so contact sales for a proposal.