Knowledge Tree
Knowledge Tree
An open knowledge commons for humanity
A living World Graph built from raw data, where every fact is provenance-tracked, every perspective is preserved, and multiple AI models reveal genuine consensus through convergence.
No data is removed or ignored. Every source contributes to the graph. Contradictory evidence coexists transparently, not suppressed.
Multiple AI models analyze the same evidence independently. Where they converge, you find genuine consensus. Where they diverge, you find bias.
Every claim traces through facts back to original sources with full attribution. Nothing is hidden. Every connection is auditable.
The graph grows richer with every query and every source ingested. Frequently explored topics accumulate deep factual bases over time.
Raw external data flows through a pipeline that transforms it into structured, multi-perspective knowledge.
Ingest sources, create synthesis documents, and explore the knowledge graph with AI-powered navigation.
Visit Research AppDeveloper documentation explaining the system architecture, MCP integration, and how to contribute.
Visit DocumentationBrowse the knowledge graph in a Wikipedia-style read-only interface. Explore nodes, facts, and relationships.
Visit WikiConnect your AI tools directly to the knowledge graph via the Model Context Protocol.
Visit MCP ServerKnowledge Tree is open source. The entire system — from fact extraction to multi-model synthesis — is available for inspection, contribution, and self-hosting.