# Linkoln

<figure><img src="/files/HSrm7H2f3uf6Ao1hWNWy" alt=""><figcaption></figcaption></figure>

Linkoln is the launchpad of Tailored Real-Time Knowledge Agents, enabling individuals, projects, businesses, and communities to launch their own real-time knowledge Linkoln agents, shaped entirely by the knowledge, context, and expertise provided by its creator.&#x20;

Each agent is tailored to its project and powered by dynamic website crawling, conversation memory, and large language models (LLM)—delivering instant, up-to-date answers directly via Telegram.

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**LIVE now on Telegram** [**here**](https://t.me/VolsAI_LinkolnBot)**!**
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{% embed url="<https://youtu.be/YEQNu6syAIo>" %}

#### **Key Features**

<table><thead><tr><th width="317">Feature</th><th>Description</th></tr></thead><tbody><tr><td>AI Agent Launchpad</td><td>Easily launch custom knowledge agents for projects, DAOs, businesses, and communities—in minutes.</td></tr><tr><td>Project-Specific Agents</td><td>Each agent is custom-built per project—trained on its unique content, website, and user needs.</td></tr><tr><td>Real-Time Website Crawling</td><td>Instantly fetches and updates content from websites &#x26; subpages whenever users ask questions.</td></tr><tr><td>Smart Conversation Memory</td><td>Tracks user queries per project, improving response relevance—with a Restart option for fresh starts.</td></tr><tr><td>Admin-Controlled Knowledge Base</td><td>Admins can add, list, or remove websites in real-time, curating the agent’s evolving knowledge base.</td></tr><tr><td>Dual Access Modes</td><td>Admin Mode: Manage knowledge. User Mode: Ask questions—powered by LLM &#x26; live data fusion.</td></tr><tr><td>Seamless Telegram Interface</td><td>Launch &#x26; interact with your agent on Telegram—no new app required, easy access for teams &#x26; communities.</td></tr></tbody></table>

#### **User Benefits**

<table><thead><tr><th width="313">Benefit</th><th>Why It Matters</th></tr></thead><tbody><tr><td>Instant, Accurate Insights</td><td>No more manual searches—get answers from your project’s official sources in real-time.</td></tr><tr><td>Always Up-to-Date</td><td>Dynamic website crawling keeps information fresh—no stale docs or outdated pinned messages.</td></tr><tr><td>Tailored to Your Ecosystem</td><td>Each agent is customized to your brand, docs, and FAQs—answers built specifically for your users.</td></tr><tr><td>Admin Empowerment</td><td>Admins curate the agent’s knowledge via websites—no coding required, total control.</td></tr><tr><td>Familiar, Fast Adoption</td><td>Telegram-first interface—users interact naturally, no friction, no learning curve.</td></tr></tbody></table>

#### Versatile Use Cases

<table><thead><tr><th width="314">Use Case</th><th>Example</th></tr></thead><tbody><tr><td>Web3 / Crypto Projects</td><td>Communities can query tokenomics, listings, utilities straight from the docs – without searching.</td></tr><tr><td>Startups / Product Docs</td><td>Founders load their Notion / Gitbook → Users ask questions → Bot fetches updated info instantly.</td></tr><tr><td>Internal Teams</td><td>Team-specific agents: HR bot, Tech bot, Sales bot – each tied to their internal web resources.</td></tr><tr><td>Event Bots (e.g., Conferences)</td><td>Attendees ask schedules, speaker info, FAQs – bot scrapes live event website for updates.</td></tr><tr><td>Customer Support</td><td>Bot scrapes product manuals, help center articles, answers user queries without needing humans.</td></tr></tbody></table>

***

Linkoln is more than a chatbot—it’s the AI Agent Launchpad powering real-time knowledge hubs for Web3, startups, and teams.

From community-driven DAOs to product launches, Linkoln transforms static information into a living, conversational experience—delivering clarity, speed, and control when it matters most.

🚀 **Launch your own AI agent today—powered by Linkoln, customized by you.**

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**LIVE now on Telegram** [**here**](https://t.me/VolsAI_LinkolnBot)**!**
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**For Backend Architecture and Infrastructure, refer** [**here**](/wp/about/volsai/linkoln/backend.md)
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***

### Linkoln Conversational Flow

```
User Enters Linkoln ────────────────┐
                                   │
Linkoln Dynamically Introduces Itself Based on Project
(Project Name, Tailored Welcome)    │
                                   ▼
Buttons Appear: "For Admin" ─── "Restart Conversation"
                                   │
If "For Admin" ────────────────────┘
 │                                 
 ▼
Admin Verification ────────────────────────────────────┐
    Prompt for Password                                 │
    Correct → Admin Menu                                │
    Incorrect → Return to User Mode                     │
                                                        ▼
Admin Menu ────────────────────────────────────────────┐
|                                                      |
| - Add Website                                         |
| - List Websites                                       |
| - Remove 1 Site                                       |
| - Remove All Sites                                    |
| - Change Password                                     |
| - Back to User Mode                                   |
|                                                      |
| If "Add Website" ────────────────────────────────────┘
|   Enter Website URL                                   │
|   Linkoln Scrapes Page & Subpages                     │
|   Website Saved Successfully                          ▼
|                                                       │
| If "List Websites"                                    ▼
|   Linkoln Lists All Saved Websites & Subpages         │
|                                                       │
| If "Remove 1 Site"                                    ▼
|   Enter Index or URL                                  │
|   Website Removed Successfully                        │
|                                                       │
| If "Remove All Sites"                                 ▼
|   All Websites Cleared                                │
|                                                       │
| If "Change Password"                                  ▼
|   Enter New Password                                  │
|   Password Changed                                    ▼
|                                                       │
| If "Back to User Mode"                                ▼
|   Return to User Mode                                 ▼
|______________________________________________________ |

User Mode (Ask Questions) ──────────────────────────────┐
    - User Asks Anything                                 │
    - Linkoln Crawls Websites & Subpages (Real-Time)     │
    - Integrates Conversation History                    │
    - LLM Generates Tailored Response                    ▼
    Linkoln Responds                                     │
                                                         │
If "Restart Conversation" ──────────────────────────────┘
    - Conversation History Cleared
    - Fresh Start for the User

```

***

#### 🔮 **The Big Vision**

Imagine you walk into ANY community (Telegram, Discord) and type questions like:

* “What’s the next token unlock schedule?”
* “How can I stake my NFT?”
* “When’s the next roadmap update?”

Linkoln answers everything. Instantly. Without digging through pinned messages or docs.

That’s a killer experience.

Linkoln is a real-time knowledge agent that can replace hunting for info manually. People want fast answers, not to read endless docs. Linkoln gives them that.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.volaris.games/wp/about/volsai/linkoln.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.