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Multimodal Extractors
First-class extractors for tables, texts, images, audio and videos. Parse and normalize diverse data sources into a unified node representation.
open-source · semantic graph layer
Building the Graph Intelligence For Multimodal AI Agents
An open-source semantic graph layer for extracting, linking, and reasoning across multimodal data.
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Why We Need Graphs
The shift from chatbots to agents has made graph layer essential:
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Fragmented Data Sources
Data scattered across documents, databases and unstructured sources without unified access.
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The Bottleneck: Multi-hop Reasoning
Scaling agentic AI requires self-operating graph layers that agents can reason over and update.
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Agentic Systems Need Graphs
Multimodal semantic graph layers that enable retrieval, reasoning, and knowledge synthesis for truly autonomous agents.
What is OpenGraph AI?
A graph engine built for the multimodal AI agents
OpenGraph AI is building a semantic graph engine designed to extract, connect, and reason over information from multiple data modalities: tables, texts, images, audio, and videos.
Built for agentic AI systems, OpenGraph AI provides unified CLIs, APIs, MCP Servers and Agent Skills for constructing graphs layer that power complex reasoning and retrieval for AI agents across heterogeneous data.
Benefits
By having a Graphs Layer
10x Faster
Graph-based retrieval accelerates agent reasoning, reducing latency and improving response times across complex queries.
40% Fewer Tokens
Structured graph traversal reduces token consumption by focusing on relevant entities and relationships.
Multimodal Capabilities
Native support for text, images, tables, audio, and video within a unified semantic graph structure.
Interactive Demo
Watch the Graph Build in Real-Time
See how scattered data points transform into a connected knowledge graph. The graph layer enables semantic understanding across your entire data landscape, powering intelligent retrieval, multi-hop reasoning, and autonomous decision-making for AI agents.
Key Features
Everything you need to build on graphs
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Semantic Graph Builder
Automatically infer relationships and build traversable knowledge graphs with configurable embedding strategies and link schemas.
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CLI + API + MCP + Skills
REST API and a typed CLI — integrate into any stack or automate graph-building pipelines with a single command.
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Agent-First Architecture
Composable modules, schema-driven configuration, and callable CLI/API/MCP/SKills that agents need for structured understanding.
Enterprise Infrastructure
Built on World-Class Technology
Trusted by AI teams building the next generation of AI agents with production-grade infrastructure.
Open Source
Built in the open, for contributors.
OpenGraph AI is open-source and Apache-2.0 licensed. We welcome contributions of all kinds — new extractors, graph algorithms, integrations, and documentation improvements.