io.github.nhadaututtheky/neural-memory

mcp-serverNo score yet

NeuralMemory stores experiences as interconnected neurons and recalls them through spreading activation, mimicking how the human brain works. Instead of searching a database, memories are retrieved through associative recall - activating related concepts until the relevant memory emerges.

Stars

202

Δ stars 7d

Δ stars 30d

Forks

55

Contributors

7

npm DL / wk

12

PyPI DL / wk

Language

Python

Last push

2026-06-08

About io.github.nhadaututtheky/neural-memory

Memories are stored as interconnected neurons and recalled through spreading activation — the same way the human brain works. No vector database. No API calls. No monthly embedding bill. Restart your AI tool. Your agent now remembers — no `init` needed, the MCP server auto-initializes on first use. Everything else — sessions, context loading, habit tracking, maintenance — works transparently in the background.

Read the full README on GitHub →

Install

npm install neural-memory-mcp
Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is io.github.nhadaututtheky/neural-memory still maintained?
Yes — actively maintained. The last push was on 2026-06-08, with 7 contributors.
What are the best io.github.nhadaututtheky/neural-memory alternatives?
Closest by category and size in our data: io.github.thomasxm/crowdsentinel-mcp-server, furey/mongodb-lens, io.github.RLabs-Inc/gemini-mcp — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 16 open issues · 161 releases