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<strong>MediaWiki has been installed.</strong>
<div class="ms-hero">
<div class="ms-hero-title"><span id="ms-hero-logo"></span>MentiSphere</div>
<div class="ms-hero-tagline">Where domain experts shape AI knowledge</div>
<div class="ms-hero-subtitle">The collectively-built AI intelligence platform</div>
</div>


Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.
<div class="ms-chat-input-wrapper" id="ms-home-chat"></div>


== Getting started ==
<div class="ms-action-cards">
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
<div class="ms-action-card">
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
<div class="ms-action-card-icon">🧠</div>
* [https://lists.wikimedia.org/postorius/lists/mediawiki-announce.lists.wikimedia.org/ MediaWiki release mailing list]
<div class="ms-action-card-title">Agent</div>
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
'''[[Special:FormStart/AgentPage|Create an Agent]]'''
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]
<div class="ms-action-card-desc">Share your expertise as an AI agent</div>
</div>
<div class="ms-action-card">
<div class="ms-action-card-icon">📖</div>
<div class="ms-action-card-title">Knowledge</div>
'''[[Special:FormStart/KnowledgePage|Add Knowledge]]'''
<div class="ms-action-card-desc">Contribute reference material for agents</div>
</div>
<div class="ms-action-card">
<div class="ms-action-card-icon">⚙️</div>
<div class="ms-action-card-title">Skill</div>
'''[[Special:FormStart/SkillPage|Create a Skill]]'''
<div class="ms-action-card-desc">Define executable capabilities</div>
</div>
</div>
 
== Browse Agents ==
 
{{#dpl:
| namespace = Agent
| ordermethod = lastedit
| order = descending
| count = 10
| format = ,\n* [[%PAGE%|%TITLE%]],,
| noresultsheader = ''No agents yet. Be the first to [[Special:FormStart/AgentPage|create one]]!''
}}
 
[{{fullurl:Special:AllPages|namespace=3000}} View all agents →]
 
== Browse Knowledge ==
 
{{#dpl:
| namespace = Knowledge
| ordermethod = lastedit
| order = descending
| count = 10
| format = ,\n* [[%PAGE%|%TITLE%]],,
| noresultsheader = ''No knowledge pages yet. [[Special:FormStart/KnowledgePage|Add one!]]''
}}
 
[{{fullurl:Special:AllPages|namespace=3010}} View all knowledge →]
 
== Browse Skills ==
 
{{#dpl:
| namespace = Skill
| ordermethod = lastedit
| order = descending
| count = 10
| format = ,\n* [[%PAGE%|%TITLE%]],,
| noresultsheader = ''No skill pages yet. [[Special:FormStart/SkillPage|Create one!]]''
}}
 
[{{fullurl:Special:AllPages|namespace=3020}} View all skills →]
 
== Recent Activity ==
 
{{#dpl:
| namespace = Agent,Knowledge,Skill
| ordermethod = lastedit
| order = descending
| count = 10
| format = ,\n* [[%PAGE%|%TITLE%]],,
| noresultsheader = ''No recent activity.''
}}
 
== How It Works ==
 
No single AI lab can capture the full breadth of human expertise. A nurse in Naples, a logistics engineer in Singapore, and a farmer in Iowa each hold specialized knowledge that general-purpose AI lacks.
 
MentiSphere gives them a way to embed that knowledge directly into AI behavior — without writing code.
 
<div class="ms-steps">
<div class="ms-step">
<div class="ms-step-number">🧠</div>
<div class="ms-step-title">Agents</div>
<div class="ms-step-desc">Community-authored AI personas. Each agent is a wiki page containing a system prompt — written, refined, and voted on by domain experts. When you chat, the agent reasons using that collective expertise.</div>
</div>
<div class="ms-step">
<div class="ms-step-number">📖</div>
<div class="ms-step-title">Knowledge</div>
<div class="ms-step-desc">Reference material that agents can access. Facts, procedures, domain data — contributed by experts, retrieved automatically when relevant to your question. Think of it as a textbook the AI can read.</div>
</div>
<div class="ms-step">
<div class="ms-step-number">⚙️</div>
<div class="ms-step-title">Skills</div>
<div class="ms-step-desc">Executable capabilities that teach AI how to do specific things — format reports, structure assessments, follow protocols. Agents use skills on demand, combining reasoning with action.</div>
</div>
</div>
 
Wikipedia articles teach humans. Our pages teach AI. Same social dynamics, same governance, same tools — different artifact type. The unit of contribution is natural language. The contribution is executable.

Revision as of 13:27, 25 April 2026

MentiSphere
Where domain experts shape AI knowledge
The collectively-built AI intelligence platform
🧠
Agent

Create an Agent

Share your expertise as an AI agent
📖
Knowledge

Add Knowledge

Contribute reference material for agents
⚙️
Skill

Create a Skill

Define executable capabilities

Browse Agents

View all agents →

Browse Knowledge

View all knowledge →

Browse Skills

View all skills →

Recent Activity

Extension:DynamicPageList3 (DPL3), version 3.6.4: Error: No selection criteria found! You must use at least one of the following parameters: category, namespace, titlematch, linksto, uses, createdby, modifiedby, lastmodifiedby, or their 'not' variants

How It Works

No single AI lab can capture the full breadth of human expertise. A nurse in Naples, a logistics engineer in Singapore, and a farmer in Iowa each hold specialized knowledge that general-purpose AI lacks.

MentiSphere gives them a way to embed that knowledge directly into AI behavior — without writing code.

🧠
Agents
Community-authored AI personas. Each agent is a wiki page containing a system prompt — written, refined, and voted on by domain experts. When you chat, the agent reasons using that collective expertise.
📖
Knowledge
Reference material that agents can access. Facts, procedures, domain data — contributed by experts, retrieved automatically when relevant to your question. Think of it as a textbook the AI can read.
⚙️
Skills
Executable capabilities that teach AI how to do specific things — format reports, structure assessments, follow protocols. Agents use skills on demand, combining reasoning with action.

Wikipedia articles teach humans. Our pages teach AI. Same social dynamics, same governance, same tools — different artifact type. The unit of contribution is natural language. The contribution is executable.