Question 1

Is AssistantGeneral actually private?

Accepted Answer

Yes — by architecture. The default model runs locally via llama.cpp, your documents are indexed on your own machine, and nothing has to leave it. Cloud model providers are entirely optional and opt-in, per task. There is no mandatory telemetry and no background calls home.

Question 2

Does it require an internet connection?

Accepted Answer

No. After installation everything works offline — local inference, the knowledge base, workflows, voice and the agent loop. It is designed for air-gapped and network-restricted environments. You only need a connection if you choose to use a cloud model provider or sync an online data source.

Question 3

Which AI models does it support?

Accepted Answer

Any GGUF model compatible with llama.cpp runs locally — Llama, Mistral, Qwen, Phi, Gemma, DeepSeek and hundreds more. You can also connect cloud providers in one click: Anthropic Claude, OpenAI, Google Gemini, xAI Grok, Groq, Mistral, DeepSeek, Together AI, OpenRouter, or any OpenAI-compatible endpoint. Several machines or GPUs can be pooled into one routed cluster.

Question 4

Is it a chatbot or an agent?

Accepted Answer

An agent. Every request runs through a pipeline that plans the work, retrieves relevant documents, calls tools, and then runs a review and a groundedness check before answering. It tracks a task plan, and an inference trace lens lets you see every step and tool call it made.

Question 5

Can it produce real documents and spreadsheets?

Accepted Answer

Yes. It generates genuine .xlsx and .docx files by running Python in a sandboxed runtime, then re-opens each file, audits it for errors, placeholders and broken references, and self-heals before handing it over. You get a finished workbook with computed figures — not a description of one.

Question 6

How does the knowledge base work?

Accepted Answer

Documents are indexed locally in a vector store. Retrieval combines semantic vector search and keyword search, fused with Reciprocal Rank Fusion and then reranked for precision, with diversity, de-duplication and recency weighting applied. It indexes 8+ formats including PDF (with scanned-page text extraction), Office files, HTML and images, and you can keep multiple separate knowledge bases.

Question 7

Can I see what's inside my knowledge base?

Accepted Answer

Yes. An Insights view maps the entire knowledge base visually: documents grouped into automatically labeled clusters with links between related clusters, a weighted topic cloud, a timeline of documents by year, a network of the people and organisations that appear together, and an entity graph showing which documents mention or cite which people and references. It is all computed on your machine — and the same connection graph feeds retrieval, so the agent follows links between related documents to find context a plain search would miss.

Question 8

What can it connect to?

Accepted Answer

Three ways. Read-only connectors sync from 20+ sources (cloud storage, databases, Google Workspace, Microsoft 365, Dropbox, Confluence, Notion, a web crawler). MCP 'connected accounts' both read and act in Slack, Teams, Discord, Notion, Jira & Confluence, GitHub, GitLab, Linear and HubSpot. And messaging bridges connect Slack, Telegram, WhatsApp and Instagram. It can also run as an MCP server itself.

Question 9

How is it governed across an organisation?

Accepted Answer

Enterprise and Government editions add a control plane. An admin runs a dashboard for users, groups, policies, knowledge-base access, UI layout and audit. Identity flows through OIDC or SAML SSO with SCIM provisioning. A granular RBAC policy is pushed to every managed client and enforced locally — controlling which models, tools, workflows, connectors, data and even UI surfaces each group may use — with fleet-wide audit.

Question 10

Is AssistantGeneral GDPR compliant?

Accepted Answer

Yes — by architecture. When run locally, all data including prompts, documents, conversation history and configuration stays on your infrastructure. There is no data-processor relationship to manage with Royal Softworks and no DPA required, because no data is sent to us.

Question 11

Is it suitable for air-gapped or government environments?

Accepted Answer

Yes. The Government edition packages the same control plane for sovereign, air-gapped deployment: local-first inference with no runtime cloud dependency, no telemetry, encryption at rest, PIN lock, a full audit trail, and centrally governed policy across the fleet.

Question 12

What editions are available?

Accepted Answer

Four: Demo (free evaluation), Pro (the complete agent for one person, no restrictions), Enterprise (Pro plus the admin control plane — SSO, SCIM, RBAC, audit, fleet management), and Government (the Enterprise control plane packaged for sovereign, air-gapped deployment).

Question 13

How many interface languages does it support?

Accepted Answer

Ten: English, Arabic (with full RTL layout), German, Spanish, French, Italian, Japanese, Russian, Serbian and Chinese. The localisation system is community-extensible.

Questions we hear most.

Still have a question?

Talk to the team that actually builds the software.

Send us a message