Welcome to LinX (灵枢)! This manual will guide you through using the platform to manage AI agents, submit tasks, and leverage the knowledge base.
- Getting Started
- Dashboard Overview
- Managing Agents
- Task Management
- Knowledge Base
- Memory System
- User Settings
- Best Practices
- Open your browser and navigate to the platform URL
- Enter your username and password
- Click "Sign In"
Default Admin Credentials (change immediately):
- Username:
admin - Password:
admin123
After logging in, you'll see the main dashboard with:
- Active Agents: Number of currently running agents
- Goals Completed: Total completed tasks
- Throughput: Tasks completed per hour
- Compute Load: System resource usage
- Task Distribution Chart: Visual breakdown of task types
- Recent Events: Timeline of recent activities
Navigate to Workforce in the sidebar to see all your agents.
Each agent card shows:
- Agent name and type
- Current status (Working, Idle, Offline)
- Assigned skills
- Recent activity
- Click the "+ Add Agent" button
- Choose a template or create custom:
- Data Analyst: For data processing and analysis
- Content Writer: For content generation
- Code Assistant: For code-related tasks
- Research Assistant: For research and information gathering
- Configure agent settings:
- Name: Give your agent a descriptive name
- Description: Describe the agent's purpose
- Skills: Select required skills
- Resource Limits: Set CPU and memory limits
- Click "Create Agent"
Data Analyst:
- Skills: data_processing, sql_query, data_visualization
- Use for: Data analysis, report generation, database queries
Content Writer:
- Skills: text_generation, summarization, translation
- Use for: Article writing, content creation, document summarization
Code Assistant:
- Skills: code_generation, code_review, debugging
- Use for: Code development, bug fixing, code review
Research Assistant:
- Skills: web_search, document_analysis, information_extraction
- Use for: Research, information gathering, document analysis
- Start Agent: Click the play button to activate an idle agent
- Pause Agent: Click the pause button to temporarily stop an agent
- Terminate Agent: Click the stop button to permanently stop an agent
- View Logs: Click "View Logs" to see agent activity
Click on an agent card to view detailed information:
- Overview: Agent configuration and status
- Activity Log: Recent actions and tasks
- Performance Metrics: CPU, memory, task completion rate
- Assigned Tasks: Current and completed tasks
- Navigate to Tasks in the sidebar
- Enter your goal in the text box
- Click "Submit Goal"
Example Goals:
- "Analyze sales data from Q4 and create a summary report"
- "Write a blog post about AI trends in 2024"
- "Review the codebase and identify potential bugs"
- "Research competitors and create a comparison table"
If your goal is ambiguous, the system may ask clarification questions:
- Review the questions
- Provide answers
- Click "Submit Answers"
The system automatically breaks down your goal into sub-tasks:
- View the task tree in the Task Timeline
- See dependencies between tasks
- Monitor progress for each sub-task
The Task Flow tab shows a visual graph of:
- Task nodes with status indicators
- Dependencies (arrows between tasks)
- Agent assignments
- Real-time progress updates
Status Indicators:
- 🔵 Blue: Pending
- 🟡 Yellow: In Progress
- 🟢 Green: Completed
- 🔴 Red: Failed
- Timeline View: See tasks in chronological order
- Flow View: See task dependencies and relationships
- Details Panel: Click a task to see detailed information
When a task completes:
- Click on the completed task
- View the result in the details panel
- Download artifacts if available
- Provide feedback (optional)
- Navigate to Knowledge in the sidebar
- Click "Upload Documents" or drag files to the upload zone
- Supported formats:
- Documents: PDF, DOCX, TXT, MD
- Images: PNG, JPG (with OCR)
- Audio: MP3, WAV (with transcription)
- Video: MP4, AVI (audio extraction + transcription)
- Wait for processing to complete
After upload, documents are:
- Validated: File type and size checks
- Processed: Text extraction, OCR, or transcription
- Chunked: Split into manageable pieces
- Indexed: Embedded and stored for search
- Enter search query in the search bar
- Use filters:
- Type: Filter by document type
- Date: Filter by upload date
- Tags: Filter by tags
- View search results with relevance scores
- Click a document to view details
Click on a document to:
- View content
- See metadata (upload date, size, type)
- Download original file
- Edit access permissions
- Add tags
- Delete document
Set document permissions:
- Public: All users can access
- Internal: Only authenticated users
- Confidential: Specific users/roles only
- Restricted: Admin only
The platform uses a reset-era memory pipeline:
- Long-term facts about the user
- Stores preferences, relationships, background, skills, goals, and important events
- Used for personalization and better future assistance
- Private to the owning user by default
- Agent-owned learned successful paths
- Stores reusable execution methods that worked in practice
- Requires review before becoming a published skill
- Scoped to the owning agent account
- Shared documents and reference knowledge
- Use the Knowledge Base for company or project documents
- Not mixed into long-term user memory
- Navigate to Memory in the sidebar
- Select a product surface:
- User Memory
- Skill Proposals
- Use search to find specific memories
- Filter by:
- Product type
- Date range
- Tags
- View memory details and relevance scores
Review learned successful paths:
- Select a skill proposal
- Click "审核" or the review action in the detail panel
- Choose whether to publish, reject, or request revision
- Add an optional review note
- Confirm the review action
- Click your avatar in the top right
- Select "Settings"
- Update:
- Display name
- Password
- Language preference
- Theme (Light/Dark/System)
Configure notification preferences:
- Task completion alerts
- Agent status changes
- System updates
- Email notifications
Generate API keys for programmatic access:
- Go to Settings → API Keys
- Click "Generate New Key"
- Copy and save the key securely
- Set expiration date (optional)
Good Goals:
- ✅ "Analyze Q4 sales data and identify top 3 products"
- ✅ "Write a 500-word blog post about renewable energy"
- ✅ "Review pull request #123 and suggest improvements"
Poor Goals:
- ❌ "Do something with data"
- ❌ "Write stuff"
- ❌ "Fix things"
Tips:
- Be specific and clear
- Include context and constraints
- Specify desired output format
- Mention any deadlines
- Use descriptive filenames
- Add relevant tags
- Set appropriate access levels
- Keep documents up to date
- Remove outdated content
- Start with templates for common use cases
- Monitor resource usage to optimize performance
- Review agent logs regularly
- Terminate unused agents to free resources
- Update agent skills as needs change
- Change default passwords immediately
- Use strong passwords (12+ characters)
- Enable two-factor authentication (if available)
- Review access permissions regularly
- Don't share credentials
- Log out when finished
- Limit concurrent tasks to avoid overload
- Use appropriate agent types for tasks
- Monitor system resources
- Archive old data periodically
- Optimize large documents before upload
Ctrl/Cmd + K: Quick searchCtrl/Cmd + N: New agentCtrl/Cmd + T: New taskCtrl/Cmd + U: Upload documentCtrl/Cmd + ,: SettingsEsc: Close modal
- Check if agents are available
- Verify agent has required skills
- Check system resource limits
- Review task requirements
- Check file size (regular files max 200MB, ZIP archives max 3GB)
- Verify file format is supported
- Check storage quota
- Try uploading smaller files
- Check agent status
- Review agent logs
- Restart agent if needed
- Contact administrator
- Check search query syntax
- Verify documents are indexed
- Try different keywords
- Check access permissions
- Documentation: Browse docs at
/docs - FAQ: Common questions at
/faq - Support: Email support@example.com
- Community: Join our Discord/Slack
- GitHub: Report issues on GitHub
- Agent: AI worker that performs tasks
- Goal: High-level objective submitted by user
- Task: Sub-component of a goal
- Skill: Capability that an agent can perform
- Template: Pre-configured agent type
- Memory: Stored knowledge and experiences
- Knowledge Base: Document repository
- Embedding: Vector representation of text
Check the Changelog for latest updates and new features.
We value your feedback! Please:
- Report bugs on GitHub
- Suggest features via email
- Rate your experience
- Share success stories
Thank you for using LinX (灵枢)!