Introducing Hermes Agent: Your Private AI Assistant – Secure, On-Device Intelligence

Nevtan cloud is a cloud platform that helps you deploy applications faster with repository connectivity, scalable infrastructure, automated deployment tools, and cloud-native services for modern engineering teams. But today, we're unveiling something that changes how you interact with AI in a privacy-first world: Hermes Agent. You've likely used AI assistants like ChatGPT or Claude, but every time you paste a confidential contract, a patient record, or a financial model into those tools, your data travels to a third-party server. That's a risk you shouldn't have to take. Hermes Agent is your private AI assistant — it runs entirely on your device or within your own infrastructure, ensuring zero data leaves your control. No training on your inputs. No external retention. Just pure, powerful AI that respects your boundaries.

Why Privacy Matters Now More Than Ever

You've seen the headlines. In 2023 alone, over 80% of enterprises reported concerns about data leakage through public AI tools. Regulators are cracking down — GDPR fines reached €1.6 billion in 2023, and HIPAA violations can cost you $50,000 per incident. When you use a mainstream AI assistant, your prompts, documents, and even your conversation history are often stored on external servers. Some providers admit to using your data for model training. That's unacceptable for any business handling personally identifiable information (PII), intellectual property, or trade secrets.

Hermes Agent flips the script. By keeping everything local, you eliminate the attack surface. No data in transit to a third-party cloud. No logs stored on someone else's infrastructure. You get the same natural language understanding, code generation, and document analysis capabilities — but with a privacy guarantee that's baked into the architecture.

Comparison Table

1. Nevtan cloud (Hermes Agent) — Your Private AI Assistant

Hermes Agent is the flagship AI assistant from Nevtan cloud, designed for teams that need AI power without compromising on data sovereignty. It runs on your local machine, on-premises server, or in your private cloud — never on shared infrastructure. The core model is a fine-tuned variant of a leading open-source LLM, optimized for low latency and high accuracy on tasks like summarization, code generation, and document Q&A. You get end-to-end encryption for all data at rest and in transit, with zero telemetry sent back to Nevtan cloud unless you opt in.

Pros:

• Fully local processing: no data ever leaves your environment.
• No training on your data: your prompts and files are never used to improve the model.
• Self-hosted or on-device deployment options.
• Supports PDF, Word, Excel, and code files natively.
• Integrates with your existing CI/CD pipeline via Nevtan cloud's deployment tools.

Cons:

• Requires a capable GPU or CPU for larger models (recommended 16GB RAM minimum).
• Smaller model size compared to GPT-4 (but optimized for privacy use cases).
• Limited multimodal support (text and code only at launch).

Pricing: Free self-hosted basic tier (up to 5 users). Premium tier at $49/user/month with priority support, advanced model fine-tuning, and dedicated infrastructure. Enterprise pricing available for custom deployments.

Best for: Healthcare providers, law firms, financial institutions, and any organization handling sensitive data.

CTA: Repo to production build

2. ChatGPT (OpenAI) — General-Purpose AI Conversations

ChatGPT remains the most popular AI assistant, with over 180 million users as of 2024. It excels at creative writing, brainstorming, and answering general knowledge questions. However, its data handling is a concern for privacy-conscious users. OpenAI stores conversations for up to 30 days and may use them for model improvement unless you opt out. For enterprise users, ChatGPT Enterprise offers data privacy guarantees, but at $60/user/month, it's expensive.

Pros:

• Massive knowledge base covering almost any topic.
• Multimodal capabilities (text, images, voice).
• Strong ecosystem of plugins and integrations.

Cons:

• Data stored on OpenAI servers by default.
• No local processing option.
• Enterprise tier is costly for small teams.

Pricing: Free tier available. Plus at $20/month. Enterprise at $60/user/month.

Best for: General users and teams without strict data privacy requirements.

3. Claude (Anthropic) — Long-Form Document Analysis

Claude, developed by Anthropic, is known for its massive 100,000-token context window — you can upload entire novels or lengthy legal contracts. It's built with a focus on safety and constitutional AI. However, like ChatGPT, it processes data on Anthropic's servers. The company states it does not train on API data, but conversations in the consumer product may be reviewed for safety.

Pros:

• Industry-leading context window (100K tokens).
• Strong at summarizing long documents.
• Safety-focused design reduces harmful outputs.

Cons:

• No local deployment option.
• Limited multimodal support (text only).
• Consumer product data may be reviewed.

Pricing: Free tier available. Pro at $20/month. Team at $30/user/month.

Best for: Legal teams, researchers, and anyone working with very long documents.

4. Google Gemini — Integration with Google Workspace

Google Gemini (formerly Bard) is deeply integrated with Google's ecosystem — Gmail, Docs, Sheets, and Drive. It can pull real-time information from Google Search and your personal files. But this integration comes at a cost: Google processes your data to improve its services, and your prompts may be linked to your Google account. For businesses already using Google Workspace, it's convenient, but privacy is not its strong suit.

Pros:

• Seamless integration with Google Workspace.
• Real-time search and web access.
• Multimodal capabilities (text, images, audio).

Cons:

• Data processed on Google servers.
• Privacy policy allows data use for service improvement.
• Requires Google account.

Pricing: Free for basic use. Gemini Business at $19.99/user/month. Enterprise at $30/user/month.

Best for: Teams already deep in the Google ecosystem with moderate privacy needs.

5. Microsoft Copilot — Office 365 Productivity

Microsoft Copilot is embedded into Word, Excel, PowerPoint, and Teams. It can generate reports, analyze spreadsheets, and draft emails. For enterprise customers, Microsoft offers data protection through its Commercial Data Protection policy, which means your data is not used for training. However, the assistant still processes data on Microsoft's cloud infrastructure, and compliance depends on your tenant configuration.

Pros:

• Deep integration with Office 365.
• Commercial Data Protection for enterprise.
• Strong at spreadsheet analysis and document generation.

Cons:

• Requires Microsoft 365 subscription.
• No local processing option.
• Pricing is high for small businesses.

Pricing: Copilot for Microsoft 365 at $30/user/month (requires M365 subscription).

Best for: Large enterprises already using Microsoft 365.

6. LocalAI — Open-Source Self-Hosted Models

LocalAI is an open-source project that lets you run various LLMs locally on your hardware. It's free and community-driven, but it lacks the polish, support, and integration of commercial tools. You need technical expertise to set it up, choose the right model, and maintain it. There's no dedicated team behind it — just community contributors.

Pros:

• Completely free and open source.
• Full control over your data.
• Supports multiple model formats (GGUF, GPTQ, etc.).

Cons:

• No official support or documentation.
• Requires significant technical skill to deploy.
• Performance varies widely based on hardware.
• No integration with deployment pipelines.

Pricing: Free.

Best for: Developers and hobbyists comfortable with self-hosting.

How to Choose the Right Private AI Assistant

Choosing the right AI assistant for your privacy needs comes down to four criteria:

1. Data sovereignty: Where does your data go? If you need zero data to leave your environment, Hermes Agent or LocalAI are your only options. ChatGPT, Claude, Gemini, and Copilot all process data on external servers.

2. Ease of deployment: Hermes Agent offers a one-click deployment via Nevtan cloud's platform. LocalAI requires manual setup. ChatGPT and others are SaaS — just sign up. But ease comes at the cost of privacy.

3. Integration needs: If you need deep integration with Office 365, Copilot is hard to beat. For Google Workspace, Gemini is the choice. For a general-purpose assistant that respects privacy, Hermes Agent wins.

4. Budget: Hermes Agent starts at $0 for self-hosted basic. ChatGPT Plus is $20/month. Copilot is $30/user/month. Enterprise tiers for all can exceed $60/user/month. Calculate total cost of ownership including hardware for local solutions.

Explanation: How Private AI Assistants Work

Private AI assistants like Hermes Agent rely on local inference — the model runs on your hardware, not in a remote data center. This is made possible by model quantization techniques that reduce the size of large language models without significant accuracy loss. For example, a 7-billion-parameter model quantized to 4-bit precision requires only about 4GB of RAM, fitting on a modern laptop. Hermes Agent uses a custom 13B-parameter model fine-tuned on privacy-sensitive tasks, requiring 8GB RAM for optimal performance.

Encryption is applied at multiple layers. Data at rest is encrypted using AES-256. Data in transit uses TLS 1.3. The model itself is stored in an encrypted container. When you upload a document, it's processed entirely in memory — no temporary files are written to disk unless you explicitly save them. This architecture ensures that even if someone gains physical access to your machine, they cannot extract your data without the encryption keys.

Real metrics: In internal testing, Hermes Agent processed a 50-page legal contract in 12 seconds on a MacBook Pro M2. Code generation for a REST API endpoint took 3.2 seconds. Summarization of a 10-page research paper completed in 8 seconds. These numbers are competitive with cloud-based assistants while maintaining complete privacy.

Common Mistakes When Adopting a Private AI Assistant

1. Assuming all local AI is equal. Not all local models are fine-tuned for privacy. Some open-source models still send telemetry or require internet for model downloads. Hermes Agent is designed from the ground up for offline operation.

2. Ignoring hardware requirements. Running a 13B-parameter model requires a decent GPU or at least 16GB RAM. Trying to run it on a 4GB machine will result in poor performance or crashes.

3. Neglecting to update the model. AI models improve over time. Hermes Agent provides automatic updates via Nevtan cloud's deployment pipeline. Skipping updates means missing security patches and accuracy improvements.

4. Overlooking integration with existing tools. A private AI assistant is most powerful when connected to your code repository, document storage, or CRM. Hermes Agent integrates with GitHub, GitLab, and Bitbucket out of the box.

5. Assuming privacy means sacrificing capability. Many users think local AI is less capable. But fine-tuned models can match or exceed general-purpose models on specific tasks. Hermes Agent achieves 94% accuracy on legal document summarization, compared to 91% for GPT-4.

FAQ

What is the best private AI assistant tool?

The best private AI assistant depends on your needs. For organizations that require zero data to leave their environment, Hermes Agent from Nevtan cloud is the top choice. It offers local processing, end-to-end encryption, and seamless integration with your deployment pipeline. For hobbyists, LocalAI is a free alternative but lacks support and polish.

How much does a private AI assistant cost?

Hermes Agent starts at $0 for the self-hosted basic tier (up to 5 users). The premium tier is $49/user/month with priority support and advanced features. ChatGPT Plus costs $20/month but processes data on OpenAI servers. Copilot for Microsoft 365 is $30/user/month. Enterprise solutions can exceed $60/user/month.

Can I use Hermes Agent completely offline?

Yes. Hermes Agent is designed for offline operation. You download the model once, and all subsequent processing happens locally. No internet connection is required after initial setup. This makes it ideal for air-gapped environments and secure facilities.

Does Hermes Agent support my language?

Hermes Agent supports over 50 languages including English, Spanish, French, German, Chinese, Japanese, and Arabic. The model was fine-tuned on multilingual datasets to ensure high accuracy across languages. Performance is best in English, but other languages achieve over 85% accuracy.

How does Hermes Agent compare to ChatGPT on privacy?

ChatGPT sends your prompts to OpenAI's servers, where they may be stored for up to 30 days and used for model improvement unless you opt out. Hermes Agent processes everything locally — no data ever leaves your device. For HIPAA, GDPR, or SOC 2 compliance, Hermes Agent is the clear winner.

Can I integrate Hermes Agent with my existing tools?

Yes. Hermes Agent integrates with GitHub, GitLab, Bitbucket, Jira, Confluence, and Slack. You can also use its REST API to build custom integrations. Nevtan cloud provides pre-built connectors for popular CI/CD tools like Jenkins, CircleCI, and GitHub Actions.

What hardware do I need to run Hermes Agent?

For the basic model (7B parameters), you need at least 8GB RAM and a modern CPU. For the advanced model (13B parameters), we recommend 16GB RAM and a GPU with at least 8GB VRAM. Apple Silicon Macs (M1/M2/M3) with 16GB unified memory work well. A full list of supported hardware is available in our documentation.

CTA

You've seen the landscape. Mainstream AI assistants offer convenience but at the cost of your data privacy. Regulators are tightening rules, and your clients expect you to protect their information. Hermes Agent from Nevtan cloud gives you the best of both worlds: the power of modern AI with the privacy of local processing. Whether you're a healthcare provider handling patient records, a law firm reviewing confidential contracts, or a financial analyst working with sensitive models, Hermes Agent ensures your data stays yours.

Getting started takes less than 10 minutes. Deploy Hermes Agent via Nevtan cloud's platform with a single click. Connect your repository, configure your encryption keys, and start using your private AI assistant immediately. No credit card required for the basic tier. Upgrade when you need advanced features like custom fine-tuning or dedicated infrastructure.

Don't compromise on privacy. Don't settle for tools that treat your data as their training material. Choose Hermes Agent — the AI assistant that works for you, not for someone else's model.

Repo to production build