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harishsg993010
HawkinsDB
Python2024–2025
harishsg993010 / HawkinsDB

HawkinsDB

HawkinsDB is our take on giving AI systems a more human-like way to store and recall information, inspired by how our own brains work. Based on Jeff Hawkins' Thousand Brains Theory

AI & Machine Learning
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
317GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

HawkinsDB is our take on giving AI systems a more human-like way to store and recall information, inspired by how our own brains work. Based on Jeff Hawkins' Thousand Brains Theory

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by 6-hour interval2 dated mentions

Observed mentions: 2024-12-27 04:16:46 UTC to 2025-01-02 10:48:44 UTC.

012024-12-27 00:00:00 UTC to 2024-12-27 06:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsDec 27, 00:002024-12-27 06:00:00 UTC to 2024-12-27 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-27 12:00:00 UTC to 2024-12-27 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-27 18:00:00 UTC to 2024-12-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-28 00:00:00 UTC to 2024-12-28 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-28 06:00:00 UTC to 2024-12-28 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-28 12:00:00 UTC to 2024-12-28 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-28 18:00:00 UTC to 2024-12-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-29 00:00:00 UTC to 2024-12-29 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-29 06:00:00 UTC to 2024-12-29 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-29 12:00:00 UTC to 2024-12-29 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-29 18:00:00 UTC to 2024-12-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-30 00:00:00 UTC to 2024-12-30 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 30, 00:002024-12-30 06:00:00 UTC to 2024-12-30 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-30 12:00:00 UTC to 2024-12-30 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-30 18:00:00 UTC to 2024-12-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-31 00:00:00 UTC to 2024-12-31 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-31 06:00:00 UTC to 2024-12-31 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-31 12:00:00 UTC to 2024-12-31 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-31 18:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-01-01 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 06:00:00 UTC to 2025-01-01 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 12:00:00 UTC to 2025-01-01 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 18:00:00 UTC to 2025-01-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-02 00:00:00 UTC to 2025-01-02 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-02 06:00:00 UTC to 2025-01-02 12:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 2, 06:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Dec 27, 00:002024-12-27 00:00:00 UTC2024-12-27 06:00:00 UTC110
Dec 27, 06:002024-12-27 06:00:00 UTC2024-12-27 12:00:00 UTC000
Dec 27, 12:002024-12-27 12:00:00 UTC2024-12-27 18:00:00 UTC000
Dec 27, 18:002024-12-27 18:00:00 UTC2024-12-28 00:00:00 UTC000
Dec 28, 00:002024-12-28 00:00:00 UTC2024-12-28 06:00:00 UTC000
Dec 28, 06:002024-12-28 06:00:00 UTC2024-12-28 12:00:00 UTC000
Dec 28, 12:002024-12-28 12:00:00 UTC2024-12-28 18:00:00 UTC000
Dec 28, 18:002024-12-28 18:00:00 UTC2024-12-29 00:00:00 UTC000
Dec 29, 00:002024-12-29 00:00:00 UTC2024-12-29 06:00:00 UTC000
Dec 29, 06:002024-12-29 06:00:00 UTC2024-12-29 12:00:00 UTC000
Dec 29, 12:002024-12-29 12:00:00 UTC2024-12-29 18:00:00 UTC000
Dec 29, 18:002024-12-29 18:00:00 UTC2024-12-30 00:00:00 UTC000
Dec 30, 00:002024-12-30 00:00:00 UTC2024-12-30 06:00:00 UTC000
Dec 30, 06:002024-12-30 06:00:00 UTC2024-12-30 12:00:00 UTC000
Dec 30, 12:002024-12-30 12:00:00 UTC2024-12-30 18:00:00 UTC000
Dec 30, 18:002024-12-30 18:00:00 UTC2024-12-31 00:00:00 UTC000
Dec 31, 00:002024-12-31 00:00:00 UTC2024-12-31 06:00:00 UTC000
Dec 31, 06:002024-12-31 06:00:00 UTC2024-12-31 12:00:00 UTC000
Dec 31, 12:002024-12-31 12:00:00 UTC2024-12-31 18:00:00 UTC000
Dec 31, 18:002024-12-31 18:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 1, 00:002025-01-01 00:00:00 UTC2025-01-01 06:00:00 UTC000
Jan 1, 06:002025-01-01 06:00:00 UTC2025-01-01 12:00:00 UTC000
Jan 1, 12:002025-01-01 12:00:00 UTC2025-01-01 18:00:00 UTC000
Jan 1, 18:002025-01-01 18:00:00 UTC2025-01-02 00:00:00 UTC000
Jan 2, 00:002025-01-02 00:00:00 UTC2025-01-02 06:00:00 UTC000
Jan 2, 06:002025-01-02 06:00:00 UTC2025-01-02 12:00:00 UTC110

What Hacker News says

2 sources
mrxhacker99·Dec 27, 2024Submission

Show HN: I made an Neuroscience-Inspired Memory Layer for LLM Applications

hey folks! hope you are doing well! I was reading a book called a thousand brain theory it was really fascinating to understand how our brain store concepts in a internal map kind of structures , Inspired by this I implemented an opensource memory layer for LLMs which supports semantic and procedural and episodic memory feel free to try it and let me your feedback
4 points · Open discussion

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