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From MentiSphere
Fix DPL namespace separator (comma -> pipe)
Fix Recent Activity DPL selector
 
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| namespace = 3000|3010|3020
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| ordermethod = lastedit
| order = descending
| order = descending

Latest revision as of 16:53, 9 May 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

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.