In-memory knowledge representation database with query engine and graph rewriting
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The OpenCog AtomSpace is an in-memory hypergraph database and graph rewriting system designed as the central knowledge representation component for Artificial General Intelligence (AGI) systems. It offers a flexible and powerful alternative to traditional graph databases, enabling complex pattern matching, graph execution, and dynamic data flows for advanced AI research and development.
How It Works
The AtomSpace utilizes a "metagraph" structure, which is a more efficient and flexible representation than standard graphs. Its core innovation lies in treating queries themselves as graphs, allowing for meta-programming and rule-based systems. It supports advanced features like inverted searches, executable graphs (Atomese), typed graph elements, and mutable key-value stores attached to each graph element, enabling sophisticated data manipulation and processing pipelines.
Quick Start & Requirements
cd opencog; mkdir build; cd build; cmake ..; make -j4; sudo make install
Highlighted Details
Maintenance & Community
The project is part of the larger OpenCog ecosystem, with active development and research focus. Community interaction is primarily through the OpenCog project channels.
Licensing & Compatibility
The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.
Limitations & Caveats
The AtomSpace has a steep learning curve due to its unconventional design and APIs. It is primarily a research platform, and while mature, it is still under active development for advanced features like distributed processing and cross-system bridges. It does not support non-Linux operating systems.
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