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GPTBots WorkSpace — Product Documentation

GPTBots WorkSpace — Product Documentation

In one sentence: GPTBots is an enterprise AI agent and workflow platform. WorkSpace is its execution module — an out-of-the-box AI workspace for a company's internal employees, taking AI from "able to answer" to "able to act" and turning AI into real business outcomes.


Our Belief: From AI Assistance to AI Action

AI should not merely answer questions — it should deliver real business outcomes. WorkSpace covers the full range of enterprise AI execution scenarios through four native capabilities:

Module Positioning In One Sentence
Work AI clone / autonomous execution An Agent system with an autonomous loop that understands tasks, calls tools, and collaborates across devices
Search Knowledge search / knowledge retrieval Every answer has context: unified retrieval across documents, email, chat, code, and databases
Workflow Intelligent workflow / process automation Orchestrate in the development space, invoke with one click in the workspace, and speed up internal enterprise processes instantly
Agents Multi-agent / orchestrated collaboration Internal build-and-publish + third-party A2A integration, with shared context and memory

What Can I Do With It

WorkSpace is not just a chat tool — it proactively calls tools to complete tasks instead of only outputting text suggestions:

What You Want to Do How WorkSpace Helps You
Organize a work directory stuffed with files List files → classify by content → rename → move into the corresponding folders
Consolidate 50 invoices into an Excel sheet Read each PDF → extract key fields → generate a structured table → export
Write a script for next week's launch event Search industry materials → draft an outline → iterate repeatedly → output Word/PPT
Automatically monitor a competitor's website every day at 9:00 Create a scheduled task → crawl the page → compare changes → send to DingTalk/Feishu
Collaborate with AI directly in a Telegram group Connect the channel → @Bot in the group → all group members can use the same Agent

Key difference: A traditional chatbot only answers questions; WorkSpace completes tasks. It features an autonomous reasoning-execution loop, 19 built-in tools, 21 preset skills, three-dimensional memory, and multi-device collaboration, and it can connect to 14+ IM platforms.


Three Usage Forms

Form Best For Core Capabilities
Web (browser) Everyday conversations, workspace management, remotely initiating tasks Executes by connecting to registered APP nodes through the Gateway
APP (macOS/Windows desktop) Local file operations, deep development, IM channel integration, scheduled tasks Runs the full Agent engine locally with full file system permissions
IM channels (Telegram/DingTalk/Teams, etc.) Invoking AI within familiar communication tools The Agent responds directly in groups or private chats

All three forms share the same workspace, the same set of memories, and the same execution engine.


Documentation Navigation

Document Best For
Product Overview and Core Capabilities Understand the product positioning, core capabilities, and target users
Quick Start Run your first task in 5 minutes (covers Web, APP, and IM entry points)
Web vs. APP Capability Comparison Choose the usage form that fits you

💬 WorkSpace Pages (Everyday User Use)

Organized by the workspace sidebar menu, covering both the Web and APP:

Document Menu Description
Work Conversation Overview Work Core conversation interface, welcome page, quick actions
Conversation Interaction Work Message stream, streaming output, session management
Multimodal Input and Output Work Image/video/document input, 9 file preview types
Sub-agents Work Task decomposition, sub-agent dispatch, cross-node execution
AI Search Search Intelligent search (LLM-based open-ended search)
Agents Agents A2A protocol agents + traditional Agent management
Workflow Workflow Visual workflow orchestration and execution

🛠️ APP Settings (Desktop APP Only)

Settings menus exclusive to the desktop APP. Web users cannot see these; the corresponding enterprise-level configuration lives in "WorkSpace Management":

Document Menu Description
APP Settings Overview Settings entry Menu navigation and overall layout
APP Quick Start APP installation, login, and first conversation
Model Configuration Models Multiple providers, API Keys, capability tags
Skill Management Skills 21 presets + custom + enterprise skills
Tool Management Tools 19 built-in + MCP + API tools
Sub-agent Management Sub-agents Pre-registered sub-agent configuration
Channel Configuration Channels 14+ IM platform integrations
Scheduled Tasks Scheduled Tasks NEW One-time / recurring / Cron automation
Memory Management Memory Account-level memory and graph visualization
Runtime Security Runtime Security Tool permissions, nodes, sandbox

🏢 WorkSpace Management (Administrators)

The enterprise administrator's console — centralized management of resources, permissions, security, and branding:

Document Menu Description
Workspace Management Overview Management entry Navigation structure and permission system
Usage Statistics Usage Overview, Work, and AI Search usage
Work Node Management Work Real-time node list, types, and filtering
Enterprise Resources Enterprise Resources Skills, tools, A2A, Agents, Workflow
Log Audit Log Audit Work, Search, and Agents operation logs
Security Guardrails Security Guardrails Tool permissions, content moderation, data anonymization
Member Permissions Member Permissions Member management, roles, fine-grained authorization
Advanced Settings Advanced Settings Branding, themes, enterprise memory, integration entry

⚙️ Agent Engine (Deep Dive Into the Underlying Layer)

Cross-page underlying technical capabilities. Regular users do not need to read this; consult it only if you are interested in the architecture or troubleshooting:

Document Description
Agent Loop Engine 25-round loop, circuit breaker, streaming events, snapshot recovery
Context 5-Layer Compression Tool truncation, message pruning, LLM summarization, degradation notices
Three-Dimensional Memory System Account/enterprise/session dimensions, knowledge graph, memory injection
Multi-Node Architecture Node discovery, Gateway routing, cross-account isolation

📚 Appendix

Document Description
Supported Model List Complete models + context windows + capability matrix
Channel List and Capability Matrix 14+ channels + multimodal support comparison
Glossary Definitions of key technical terms

🛒 AI Marketplace

A range of AI applications officially developed by GPTBots, covering scenarios such as meetings and office work:

Document Description
Marketplace Overview AI Marketplace overview and management
Live Speechly Real-time multilingual meeting translation AI application (macOS / Windows)
WorkPilot A plugin that embeds Agent capabilities into Microsoft Word

📱 Mobile Integration (Enterprise APP Embedding)

Integrate the entire WorkSpace into an enterprise's mobile APP for login-free employee access:

Document Description
Mobile Integration Overview Architecture, URL rules, WebViewBridge event protocol
AiToken Encryption Generate AiToken by encrypting the email with an RSA public key (includes Java / TS code)
Android Integration Permissions, WebView, JSBridge, file selection
iOS Integration WKWebView, permissions, file selection, message bridging

Reading Paths for Different Roles

I Am a Regular User (First Encounter)

  1. Product Overview
  2. Quick Start
  3. Work Conversation Overview
  4. (If you want to use the desktop APP) APP Quick Start

I Am an Advanced APP User (Want Deep Automation)

  1. APP Settings Overview
  2. Skill Management + Tool Management
  3. Scheduled Tasks
  4. Sub-agents + Sub-agent Management
  5. Channel Configuration

I Am a WorkSpace Administrator

  1. Workspace Management Overview
  2. Member Permissions
  3. Security Guardrails
  4. Enterprise Resources
  5. Advanced Settings (brand customization, enterprise memory, integration entry)

I Am a Technical Architecture Enthusiast

  1. Web vs. APP Capability Comparison
  2. Agent Loop Engine
  3. Multi-Node Architecture
  4. Three-Dimensional Memory System

About This Documentation

  • This documentation is written based on the actual code of the Web (React + Vite) and the desktop APP (Tauri 2 + Node.js Sidecar)
  • All technical parameters (round limits, timeouts, thresholds, etc.) are derived from code constants
  • Content marked NEW represents capabilities added in recent versions
  • Screenshots in this documentation are continuously updated; explanatory text labeled screenshot location marks image placeholders that are to be added