Feature Entry Points and Operation Paths

First time using DesireCore? Not sure where to start?

This guide will help you get up to speed quickly. Daily use of DesireCore revolves around three main areas:

• Conversation Interface — Chat with agents, assign tasks, and view results
• Resource Manager — Manage agents, skills, compute resources, and more
• Applications and Services — Browse installable apps and connect external services

After reading this guide, you should be able to complete these basic operations:

What You Want to Do	Where to Start	Shortest Path
Start a conversation with an agent	Conversation Interface	Select an agent on the left → Enter a task at the bottom → View the reply
Find a historical conversation	Conversation Interface	Use the left-side list or search box → Click the conversation
Use a quick command	Conversation Interface	Type / in the input box → Select a command → Send
Manage agents	Resource Manager	Click the “folder” icon on the left → Agents
Import or configure skills	Resource Manager	Click the “folder” icon on the left → Skills → Import or configure
View automation tasks	Resource Manager	Click the “folder” icon on the left → Automation
Install an application	Applications and Services	Click the four-square icon on the left → Applications → Install
Connect an external service	Applications and Services	Click the four-square icon on the left → Services → Select an HTTP / MCP service

1. Three Core Areas of the Conversation Interface

You don't need to memorize every button. Just understand the three areas marked ①, ②, and ③ — that covers 90% of daily use.

No.	Area	Purpose
①	Agent and Conversation List	Choose the agent you want to talk to, and view conversation history and recent messages
②	Chat History Area	View agent replies, task execution progress, reports, and expanded content
③	Input and Command Area	Enter messages, send tasks, upload attachments, or use slash commands

One sentence to remember: Choose an agent in ① → Type your message in ③ → See results in ②.

① Agent and Conversation List

The left-side list is used to choose different agents or historical conversations. Each row represents an agent or a conversation entry.

Element	Description
Search box	Enter keywords to find agents or conversation history
Plus button	Create a new conversation or add a new entry
Agent avatar	Uses color and text to distinguish different agents
Agent name	Shows available professional agents, such as DesireCore, Data Analyst, or Website Generator
Green status dot	Indicates that the agent is online or available
Recent message	Shows the latest reply or task summary from that agent
Time	Shows the most recent conversation or update time

How to use:

1. Find the agent you want to use in the left-side list.
2. Click the agent name or conversation card.
3. The right side switches to the corresponding chat page.
4. If the list is long, use the search box at the top to find an agent quickly.

Examples:

What You Want to Do	Suggested Agent
Let the system assign tasks or coordinate multiple agents	DesireCore
Analyze tables, generate charts, or create reports	Data Analyst
Generate a website or page	Website Generator
Recognize invoice or receipt images	Receipt OCR Assistant
Extract content from webpages	Web Scraping Specialist
Send reminders or notifications	Notification Assistant

② Chat History Area

The upper-right area is the chat history area. It displays the agent's replies, task progress, and result reports.

Element	Description
Message card	Displays replies, reminders, reports, or task results returned by the agent
Title	Shows the topic of the current reply, such as “Heartbeat Check”
Summary content	Shows key conclusions, scores, status, or explanations
Expand all	Expands collapsed long content so you can view the full result
History	Keeps previous conversations and execution progress in chronological order

When you see an agent's reply, check the title first to understand the topic, then read the summary. Click "Expand all" when you need the full details.

Common result types:

Type	Description
Normal reply	A direct answer from the agent
Execution progress	Shows that a task is being processed, checked, or generated
Result report	Shows analysis reports, check results, tables, or summaries
Error prompt	Explains the reason when a task fails or when more information is needed
Operation receipt	Indicates whether the task is complete, waiting for confirmation, or needs further action

Exporting created documents:

After an agent finishes creating a document, organizing a report, or generating content, you can use the export entry in the result card to save the document in different formats for later editing, sharing, or archiving.

Export Format	Best For
Markdown	Continuing maintenance in a documentation system, knowledge base, or code repository
PDF	Formal sharing, archiving, or sending to external readers
Word	Further editing, commenting, or collaborative revision

The animation below shows how to choose an export format from the result card and save the file after a document has been created.

Reading tips:

1. Check the title first to confirm which task the message belongs to.
2. Read the summary to quickly judge whether the result is normal.
3. If the content is collapsed, click “Expand all” to view the full details.
4. If the agent asks for more information, continue replying in the input area at the bottom.

③ Input and Command Area

The bottom area is used to send messages, upload content, or call quick commands.

Icon / Element	Description
Plus button	Add attachments or open more input tools
Image icon	Upload images for the agent to recognize or process
Scissors icon	Take a screenshot, crop, or capture content
Input box	Enter questions, task requirements, or additional instructions
Paper plane button	Send the current message
/ command	Enter a slash to display the available command list

In the screenshot, / is entered in the input box, so the system displays the available command list. Common commands include:

Command	Purpose
/skill	Call a specified skill
/new	Start a fresh conversation — previous chats won't affect this one
/compact	Trim the chat history, keep important info, and free up space
/steer	Add mid-task guidance or constraints for the agent to use in its next round of reasoning and actions
/help	Show help information

Basic operation steps:

1. Enter your question or task in the input box.
2. If you need to upload an image, click the image icon.
3. If you need to use a command, type / first and then choose the command.
4. Click the paper plane button on the right to send.
5. Wait for the agent to return the result in area ②.

Examples:

Check whether this report is missing any key points.

Convert this receipt image into a table.

/help

2. Beginner Example

If you want to start a conversation with an agent, follow these steps:

1. Choose an agent in area ①, such as DesireCore or Data Analyst.
2. Enter your question or task in area ③.
3. Click the paper plane button to send the message.
4. View the agent's reply, task progress, or generated result in area ②.
5. If the result is incomplete, continue adding requirements in area ③.

Key Reminder

For first-time use, remember these three positions:

Position	Purpose
①	Choose an agent or historical conversation
②	View replies, task results, and reports
③	Send messages, upload files, and use commands

Once you understand these three areas, you can complete most basic conversations and task operations.

After completing a basic conversation, use these signs to check whether the operation succeeded:

Success Sign	Description
A new message card appears on the right	The message has been sent and entered the processing flow
The message card contains a summary, result, or receipt	The agent has returned a readable result
You can continue asking or adding requirements	The current conversation can continue
If more information is needed, the system asks you to provide it	The task has not failed; it only needs more input

3. Resource Manager

The Resource Manager is used to centrally view and manage different types of resources in DesireCore, including agents, skills, automation tasks, workflows, compute services, email accounts, storage, and code repositories.

Click the “folder” icon in the left navigation bar to enter the Resource Manager page.

You can understand the difference between Resource Manager and Applications and Services like this:

Module	Main Purpose	When to Use It
Resource Manager	Manage resources that already exist in the system	View, configure, enable, or assign agents, skills, automation tasks, workflows, and more
Applications and Services	Add new applications or connect external services	Install apps, connect APIs, or integrate MCP / HTTP services

The numbers 1 to 8 in the Resource Manager page represent the following functions:

No.	Function	Purpose
①	Agents	View and manage agents in the current system, including online status, recently active agents, and total agent count
②	Skills	View enabled skills and tool capabilities, such as creating agents, deleting agents, and brainstorming
③	Automation	View and manage scheduled tasks, recurring tasks, and automatically triggered tasks
④	Workflows	View and manage workflows that combine multiple steps into reusable processes
⑤	Compute	View available AI services, model services, or compute resources
⑥	Emails	View connected email accounts for email synchronization, sending, or related automation tasks
⑦	Storage	View and manage storage connections for file saving, reading, or external storage integration
⑧	Code Hosting / Repositories	View connected code repositories, such as GitHub repositories, for code-related tasks

① Agents

The “Agents” card shows the agents available in the current system. Users can view the number of agents, their online status, and recently active agents.

Suitable scenarios:

Scenario	Description
Find a professional assistant	See which agents are currently available
Check availability	Use the green status dot to confirm whether an agent is available
Enter agent management	Click the card or arrow to open the detailed agent list

② Skills

The “Skills” card shows the capabilities enabled in the system. A skill can be understood as a tool or operation capability that agents can call.

Common skills include:

Skill Type	Purpose
Create agent	Create a new professional agent based on requirements
Delete agent	Delete agents that are no longer needed
Brainstorming	Help generate ideas, options, or plans
File and data processing	Help read, organize, or generate file content

Common ways to import skills:

Import Method	How to Use It
Import from local file	Click the import entry on the Skills page, select a local skill file, and confirm the import
Import from link	Paste the access link for a skill package or skill configuration, and the system will read it and complete the import
Import from resource library	Search for or select an existing skill in the skill resource library, then click Add or Import
Import in a conversation	Describe the skill you want to import in a conversation, and the agent can assist based on your instruction

After importing, you can view the new skill in the skill list, then enable, configure, or assign it to the corresponding agent as needed.

To confirm that a skill was imported successfully, check the following:

Success Sign	Description
The new skill appears in the skill list	The skill has entered the system
The skill status shows available or enabled	The skill can be called
The skill can be found through /skill in a conversation	The skill is in the callable range
The skill can be assigned to a specific agent	The skill can participate in future task execution

The animation below shows the process of entering the import entry from the Skills page, choosing an import method, and completing the import.

③ Automation

The “Automation” card is used to view scheduled or recurring tasks. In the screenshot, there is a “Daily invoice auto-recognition task”, which means the system will run it automatically at the specified time.

Suitable scenarios:

Scenario	Example
Scheduled reminder	Remind me to attend a meeting every day at 9:00 AM
Recurring execution	Automatically recognize invoices every day
Regular check	Check system status or data changes at regular intervals

④ Workflows

“Workflows” combine multiple steps into a repeatable process. They are suitable for fixed procedures, multi-step tasks, or tasks that require multiple agents to collaborate.

Example:

Collect webpage materials → Organize the table → Generate a report → Send an email

If there is no workflow yet, the page displays that no workflow is available. Later, you can create and manage workflows through AI in a conversation.

⑤ Compute

The “Compute” card shows the currently available AI services or model resources, such as DeepSeek, Kimi, and MiniMax Coding Plan.

Users usually do not need to configure compute manually. You only need to enter this area when switching models, adjusting capability sources, or checking service status.

⑥ Emails

The “Emails” card shows connected email accounts. After an email account is connected, the system can work with agents to complete email-related tasks.

Suitable scenarios:

Scenario	Description
Email notification	Send task results or reminders by email
Email synchronization	Read or synchronize content from a specified mailbox
Email automation	Process emails regularly together with automation tasks

⑦ Storage

The “Storage” card is used to manage file storage connections. If external storage is connected, the system can read, save, or synchronize related files.

Suitable scenarios:

Scenario	Description
Save task results	Save reports, tables, or images to a specified location
Read materials	Read files from storage for agents to process
Connect external space	Integrate cloud storage or other file systems

⑧ Code Hosting

The “Code Hosting” card shows connected code repositories, such as GitHub. Once connected, agents can help process code, repository files, and development tasks.

Suitable scenarios:

Scenario	Description
Check repository connection	Confirm whether GitHub or other code platforms are connected
Handle code tasks	Let agents read, analyze, or modify code
Project collaboration	Use it together with website generation, automation, or workflow tasks

For beginners, focus first on three Resource Manager entries: Agents, Skills, and Automation. Agents determine “who does the work”, Skills determine “what can be done”, and Automation determines “when it runs”.

4. Applications and Services

The Applications and Services page is a separate module for browsing installable applications and connectable services. It divides common capabilities into two groups: applications you can install and use directly, and external services you can connect to the system.

How to open it:

1. Click the four-square icon in the left navigation bar.
2. Enter the Applications and Services page.
3. Use the category tabs or search box to find the target app or service.

The page has two key areas:

No.	Area	Purpose
①	Applications	Shows installable or usable apps, such as AnythingLLM, Coze, Dify, LobeChat, and n8n
②	Services	Shows connectable services, such as map APIs, database MCP services, and HTTP services

Category tabs at the top let you quickly filter resource types:

Tab	Meaning
All	View all applications and services
AI Platforms	Show only AI platform apps
RAG	Show only knowledge retrieval related apps
Workflows	Show only workflow apps
Tools	Show only tool apps
Chat	Show only chat apps
MCP Services	Show only MCP-connected services
HTTP Services	Show only HTTP-connected services

When choosing an application or service, start with this decision table:

Need	Check First
Use a complete ready-made tool	Applications
Give agents access to external capabilities	Services
Build a knowledge base, RAG flow, or workflow	AI Platforms, RAG, or Workflows under Applications
Connect maps, databases, HTTP APIs, or MCP tools	HTTP Services or MCP Services under Services

1. Applications

The application area shows ready-to-use products. Each card usually includes the name, short description, category tags, and an install button.

Common examples:

App	Description
AnythingLLM	A full-featured AI desktop app with RAG, agents, and document chat
Coze	ByteDance AI bot development platform
Dify	Open-source AI app platform with RAG, agents, and workflow orchestration
LobeChat	Open-source multi-agent collaboration workspace
n8n	Visual workflow automation platform
Open WebUI	Self-hosted AI chat interface
OpenClaw	Open-source personal AI assistant with multi-channel gateway and local-first architecture
RagFlow	Open-source RAG engine based on deep document understanding

Usage tips:

Scenario	Description
Try a ready-made tool quickly	Open the application card and install it
Identify the app type	Check the tags, such as AI Platform, Tool, Chat, Workflow, or RAG
Compare alternatives	Use search and category filters to compare apps

2. Services

The service area shows external capabilities that can be connected to the system, such as map APIs, database services, MCP services, or HTTP services.

Common examples:

Service	Description
Baidu Maps API	Provides geolocation, route planning, and POI search
Database MCP	Provides PostgreSQL query and management capabilities

Common service labels:

Label	Meaning
HTTP	Service connected through HTTP
MCP	Service connected through the MCP protocol
Registry	Service managed or discovered through a registry
Online / Offline	Shows whether the service is currently available

In simple terms, applications are like “software you can use directly”, while services are like “capability interfaces you can connect to the system”. If you want to extend system functions, start with the application area; if you want agents to connect to external capabilities, focus on the service area.

5. FAQ

Question	What to Do
I cannot find the agent I want on the left	Use the search box first; if it still does not appear, open Agents in Resource Manager and check whether it has been created or enabled
The command list does not appear after I type /	Make sure the cursor is inside the input box and type / again; if it still does not appear, try /help
I cannot find a skill after importing it	Go back to Skills in Resource Manager, check whether the import succeeded, and confirm that the skill is enabled
I do not know where to open an installed application	Return to the Applications area in Applications and Services, then check the application's Open, Start, or Manage entry
A service is shown as offline	Check the service configuration, network connection, API key, or MCP / HTTP service address
The agent's result is incomplete	Continue adding requirements in the same conversation, or describe the goal, files, and output format more clearly

If this is your first time using DesireCore, complete three steps in order: send one message in the Conversation Interface, open Resource Manager to check agents and skills, then visit Applications and Services to learn what can be installed or connected.