Neuron FAQs

Question 1

What is Neuron?

Accepted Answer

Neuron is an MCP server that provides large language models (LLMs) with long-term, associative semantic memory. It allows your AI to remember context and learn across chat sessions by transforming conversations into a dynamic concept graph.

Question 2

How does Neuron enhance LLM memory and recall?

Accepted Answer

Neuron builds a concept graph using vector embeddings and semantic links from conversations. It employs associative memory techniques like spreading activation, salience, and recency ranking to retrieve the most relevant memories, ensuring intelligent recall beyond simple keyword matching.

Question 3

Which LLM clients and platforms are compatible with Neuron?

Accepted Answer

Neuron integrates seamlessly with a wide range of MCP clients including Claude Desktop/Code, Cursor, VS Code, and others. It can also connect to ChatGPT and OpenAI models via an HTTP bridge, and runs on Windows, macOS, and Linux.

Question 4

Does Neuron support local-first operation or shared team memory?

Accepted Answer

Yes, Neuron is designed to be local-first, operating with an embedded libSQL database in a single file, requiring no server or network for basic functionality. Optionally, it supports Turso Cloud integration for shared team memory and collaborative knowledge graph building.

Question 5

What is the Graph Visualizer feature?

Accepted Answer

The interactive Graph Visualizer is a self-contained HTML tool that lets you visualize your AI's memory growth over time. You can inspect node relationships, filter by domain, and even replay conversational history turn by turn to understand how connections are formed and reinforced.

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