Nanosaur2-670M
well9472 · Kit
Makes illustrations from text prompts with a small 670M-parameter diffusion model, run through ComfyUI. Built as a low-budget research model for people who wan…
Gives the AI agent you already use a memory you control, storing facts with their sources and allowing corrections and withdrawal. It starts keyless with keyword retrieval and adds semantic search later.
gbrain is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.
GBrain gives the agent you already use a memory that you control. It stores explicit facts together with their sources, lets you correct or withdraw them, and serves the same memory to all your agents. It begins with memory that needs no key and finds notes by keyword. Search by meaning, synthesis and background enrichment come later, when you want them.
People who run an AI agent such as OpenClaw or Hermes and want it to remember things reliably. Teams that use several agents and want one shared memory can use it too.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software development | Developers with coding agents | Keep memory skills beside their knowledge so each agent works from the same facts | A fact stored with its source, then corrected when it changes |
| AI agent operations | People running more than one agent | Make one memory available across their agents | Two agents reading the same stored notes |
| Teams | Groups that share knowledge | Let agents join an authorized catalog where only approved editors publish | A shared set of memory skills that only approved editors change |
Skip it if you do not use an AI agent.
Wherever your agent already runs, on your own machine or in a hosted version.
| Use case | Who | What they get back |
|---|---|---|
| Store a fact with its source | Anyone using an agent | A fact that points back to where it came from |
| Correct or withdraw a fact | Anyone using an agent | Memory that changes when the facts do |
| Share memory across agents | Teams | The same memory in each agent |
If you are new, think of GBrain as a notebook your AI agent can read and write. It keeps each fact next to where it came from, and you can fix or remove a fact later. A good first thing to try is the keyless start, which needs no API key and finds notes by keyword.
If you know the field, retrieval begins with keywords and grows into semantic search, synthesis and background enrichment as you switch them on. A new local brain places its memory skills in the folder that holds its content. Publishing to a shared catalog is limited to approved editors. Managed coding-agent installs add a native router that GBrain owns, and restarting the agent and checking real use are separate steps. A staged migration keeps your sharing choices and personal edits.
Nothing here runs by itself. The kit holds notes and the location of the code, and you follow the project's own setup.
Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account: a zip of text files, nothing that runs.
Gives the AI agent you already use a memory you control, storing facts with their sources and allowing corrections and withdrawal. It starts keyless with keyword retrieval and adds semantic search later.
Made by garrytan on GitHub. These notes are Mindket's, written from its README; the project's own files and license are in its repository.
What it is: GBrain gives the agent you already use a memory that you control. It stores explicit facts together with their sources, lets you correct or withdraw them, and serves the same memory to all your agents. It begins with memory that needs no key and finds notes by keyword. Search by meaning, synthesis and background enrichment come later, when you want them.
Who it suits: People who run an AI agent such as OpenClaw or Hermes and want it to remember things reliably. Teams that use several agents and want one shared memory can use it too.
Industry | Who uses it | How they use it | Example
Software development | Developers with coding agents | Keep memory skills beside their knowledge so each agent works from the same facts | A fact stored with its source, then corrected when it changes
AI agent operations | People running more than one agent | Make one memory available across their agents | Two agents reading the same stored notes
Teams | Groups that share knowledge | Let agents join an authorized catalog where only approved editors publish | A shared set of memory skills that only approved editors change
Skip it if you do not use an AI agent.
Where to use it: Wherever your agent already runs, on your own machine or in a hosted version.
Use case | Who | What they get back
Store a fact with its source | Anyone using an agent | A fact that points back to where it came from
Correct or withdraw a fact | Anyone using an agent | Memory that changes when the facts do
Share memory across agents | Teams | The same memory in each agent
For newcomers and experts: If you are new, think of GBrain as a notebook your AI agent can read and write. It keeps each fact next to where it came from, and you can fix or remove a fact later. A good first thing to try is the keyless start, which needs no API key and finds notes by keyword.
If you know the field, retrieval begins with keywords and grows into semantic search, synthesis and background enrichment as you switch them on. A new local brain places its memory skills in the folder that holds its content. Publishing to a shared catalog is limited to approved editors. Managed coding-agent installs add a native router that GBrain owns, and restarting the agent and checking real use are separate steps. A staged migration keeps your sharing choices and personal edits.
An agent saves a fact with its source
You correct or withdraw it
Other agents read the same memory
You add semantic search when needed
Good to know: Nothing here runs by itself. The kit holds notes and the location of the code, and you follow the project's own setup.
git clone https://github.com/garrytan/gbrain.git
Then follow the setup in its README. Nothing in this kit runs by itself.
README.md 4 KB
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
well9472 · Kit
Makes illustrations from text prompts with a small 670M-parameter diffusion model, run through ComfyUI. Built as a low-budget research model for people who wan…
Waqf-AI · Kit
Reads handwritten Arabic text from images and returns it as text. A fine-tuned PaddleOCR-VL model for people digitizing Arabic handwriting.
Wan-AI · Kit
Makes video clips from a text prompt or an image plus text, at up to 720P and 24 frames per second, in the Diffusers format for a single consumer GPU.
Wan-AI · Kit
Generates cinematic video of a character driven by an audio track, and can also lip-sync existing video. For video creators, animators and researchers with a l…
Wan-AI · Kit
Animates a character or swaps one into a video by copying a performer's movement and expressions, as one model from the Wan2.2 video family. Use only faces and…
vllm-sr · Kit
Answers choice, yes-or-no, score, box and tracking questions about text, images or video in one call, with a probability for each answer. For people building r…