Hebbian Mind

Hebbian Mind Enterprise is a special kind of computer server that builds knowledge graphs as you use it. It works like a brain, where ideas that are thought of together become more strongly connected. If an idea is not used, its connections fade away. This helps create an AI memory that learns over time and gets smarter the more it is used.

Benefits

Hebbian Mind Enterprise helps save and find information easily. It automatically shows you related ideas, making it simple to explore connections. The system learns through use, strengthening connections between concepts without needing someone to manually link them. It comes with over 100 pre-built concept categories for systems, security, data, and operations, making it ready to use for businesses. It also works smoothly with other tools like Claude Desktop.

Use Cases

This system can be used to store and retrieve content by connecting related concepts. You can analyze content to see how concepts activate before saving, or find connected concepts and list all available concept nodes. It can also show the server's status and perform semantic searches to find information based on meaning. The tools available allow for saving content, querying memories, analyzing data, and checking system health.

Pricing (ONLY include if available)

Information about specific pricing plans for individual, team, and enterprise support is available, but the exact costs are not detailed in the provided text. Redistribution of the software is not allowed.

Vibes (ONLY include if available)

Users can test the software using pytest. Performance metrics show that saving content takes less than 10 milliseconds and retrieving information takes less than 5 milliseconds, indicating a very fast and responsive system. Memory usage is also efficient, with each node using about 1 kilobyte and each connection using about 100 bytes. The server starts up quickly, even with many nodes.

Additional Information (ONLY include if available)

Hebbian Mind Enterprise uses a Dual-Write Pattern for fast and reliable data storage, writing to fast memory first and then to disk. It has pre-defined concept nodes for various business areas. The learning process strengthens connections based on how often concepts are used together, with limits to prevent connections from becoming too strong. It also includes a temporal decay mechanism where unused memories and connections weaken over time unless reinforced, helping to keep the knowledge graph relevant. Support plans are available for individuals, teams, and enterprises.