Moving beyond static repositories to an autopoietic knowledge system. It grows, repairs itself, and actively synthesizes intelligence.

Traditional Wikis are graveyards for information. They suffer from entropy and content goes stale the moment it is written.
Our architecture treats knowledge as a biological substrate. Agents act as enzymes, breaking down external data and reconstructing it into internal insight.
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Designed not as a tool, but as a medium for thought.
Implicit to explicit. The system reads your draft and links entities to existing knowledge nodes.
An always-on background agent that prunes dead links and flags conflicting data.
A recursive agent loop:
Plan → Search → Read → Reflect → Synthesize

The interface adapts to content and generates context-specific views in real time.
We don't hide the AI. We make its cognition transparent with planning, cross-checking, and synthesis.
Breaks complex queries into atomic research tasks.
Simultaneous internal RAG and external web search to find contradictions.
Generates a structured document, not just a chat response.
Breaking down query: "Future of AI Agents"
Searching academic papers and tech blogs...
Validating against internal wiki nodes...
Generating structured research report...