io.github.nhadaututtheky/neural-memory
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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
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Forks
55
Contributors
7
npm DL / wk
12
PyPI DL / wk
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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 →
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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