COGNITIVE GRAPH ENGINE

Deploy autonomous AI agents that construct dynamic knowledge graphs from your documents, navigate enterprise knowledge lakes, and execute complex reasoning through browser-native GraphRAG architecture.

INITIALIZE AGENT VIEW SOURCE

GRAPH RAG VISUALIZER

Real-time Retrieval-Augmented Generation over knowledge graphs. Watch as our agents deconstruct documents into semantic triples, establish entity relationships, and build queryable graph structures.

How GraphRAG Works

1. Document Deconstruction

Agents parse documents into nodes (entities, concepts) and edges (relationships)

2. Graph Construction

Dynamic knowledge graph builds in real-time as agents discover connections

3. Traversal & Query

Multi-hop reasoning across graph paths for contextual, accurate responses

EXPLORE GRAPH

ENTERPRISE KNOWLEDGE LAKE

Your documents, emails, databases, and streamsโ€”fused into a unified, queryable cognitive architecture. No ETL, no schema migrations. Just pure agentic intelligence.

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Document Streams

PDFs, DOCX, PPTX, scanned images

STATUS: INGESTED
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Data Lakes

Parquet, CSV, JSON, Avro formats

STATUS: INDEXED
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Communication

Email threads, Slack, Teams, Discord

STATUS: LIVE SYNC
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Web Intelligence

Crawled pages, APIs, real-time feeds

STATUS: STREAMING

BROWSER-NATIVE AGENTIC AI

Deploy autonomous agents that run entirely in browser WebAssembly. No server calls. No latency. Pure edge intelligence with local vector stores and graph traversal.

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Research Agent

Continuously analyzes document streams, identifies patterns, and generates hypotheses

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Query Agent

Executes multi-hop graph traversals and retrieves context-aware answers

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Sync Agent

Real-time synchronization across distributed knowledge lakes and graph partitions

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Visualization Agent

Generates interactive 3D graph visualizations and knowledge lake topologies

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Agentic OS v2.1
Local vector store: ACTIVE | Graph nodes: 0