chore: update org name

This commit is contained in:
Minh141120 2025-10-28 17:26:27 +07:00
parent 62bd91a1e1
commit 15c426aefc
72 changed files with 111 additions and 111 deletions

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@ -1,5 +1,5 @@
blank_issues_enabled: true
contact_links:
- name: Jan Discussions
url: https://github.com/orgs/menloresearch/discussions/categories/q-a
url: https://github.com/orgs/janhq/discussions/categories/q-a
about: Get help, discuss features & roadmap, and share your projects

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@ -82,11 +82,11 @@ jobs:
VERSION=${{ needs.get-update-version.outputs.new_version }}
PUB_DATE=$(date -u +"%Y-%m-%dT%H:%M:%S.%3NZ")
LINUX_SIGNATURE="${{ needs.build-linux-x64.outputs.APPIMAGE_SIG }}"
LINUX_URL="https://github.com/menloresearch/jan/releases/download/v${{ needs.get-update-version.outputs.new_version }}/${{ needs.build-linux-x64.outputs.APPIMAGE_FILE_NAME }}"
LINUX_URL="https://github.com/janhq/jan/releases/download/v${{ needs.get-update-version.outputs.new_version }}/${{ needs.build-linux-x64.outputs.APPIMAGE_FILE_NAME }}"
WINDOWS_SIGNATURE="${{ needs.build-windows-x64.outputs.WIN_SIG }}"
WINDOWS_URL="https://github.com/menloresearch/jan/releases/download/v${{ needs.get-update-version.outputs.new_version }}/${{ needs.build-windows-x64.outputs.FILE_NAME }}"
WINDOWS_URL="https://github.com/janhq/jan/releases/download/v${{ needs.get-update-version.outputs.new_version }}/${{ needs.build-windows-x64.outputs.FILE_NAME }}"
DARWIN_SIGNATURE="${{ needs.build-macos.outputs.MAC_UNIVERSAL_SIG }}"
DARWIN_URL="https://github.com/menloresearch/jan/releases/download/v${{ needs.get-update-version.outputs.new_version }}/${{ needs.build-macos.outputs.TAR_NAME }}"
DARWIN_URL="https://github.com/janhq/jan/releases/download/v${{ needs.get-update-version.outputs.new_version }}/${{ needs.build-macos.outputs.TAR_NAME }}"
jq --arg version "$VERSION" \
--arg pub_date "$PUB_DATE" \

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@ -29,7 +29,7 @@ jobs:
local max_retries=3
local tag
while [ $retries -lt $max_retries ]; do
tag=$(curl -s https://api.github.com/repos/menloresearch/jan/releases/latest | jq -r .tag_name)
tag=$(curl -s https://api.github.com/repos/janhq/jan/releases/latest | jq -r .tag_name)
if [ -n "$tag" ] && [ "$tag" != "null" ]; then
echo $tag
return

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@ -50,6 +50,6 @@ jobs:
- macOS Universal: https://delta.jan.ai/nightly/Jan-nightly_{{ VERSION }}_universal.dmg
- Linux Deb: https://delta.jan.ai/nightly/Jan-nightly_{{ VERSION }}_amd64.deb
- Linux AppImage: https://delta.jan.ai/nightly/Jan-nightly_{{ VERSION }}_amd64.AppImage
- Github action run: https://github.com/menloresearch/jan/actions/runs/{{ GITHUB_RUN_ID }}
- Github action run: https://github.com/janhq/jan/actions/runs/{{ GITHUB_RUN_ID }}
env:
DISCORD_WEBHOOK: ${{ secrets.DISCORD_WEBHOOK }}

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@ -143,7 +143,7 @@ jan/
**Option 1: The Easy Way (Make)**
```bash
git clone https://github.com/menloresearch/jan
git clone https://github.com/janhq/jan
cd jan
make dev
```
@ -152,8 +152,8 @@ make dev
### Reporting Bugs
- **Ensure the bug was not already reported** by searching on GitHub under [Issues](https://github.com/menloresearch/jan/issues)
- If you're unable to find an open issue addressing the problem, [open a new one](https://github.com/menloresearch/jan/issues/new)
- **Ensure the bug was not already reported** by searching on GitHub under [Issues](https://github.com/janhq/jan/issues)
- If you're unable to find an open issue addressing the problem, [open a new one](https://github.com/janhq/jan/issues/new)
- Include your system specs and error logs - it helps a ton
### Suggesting Enhancements

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@ -4,10 +4,10 @@
<p align="center">
<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
<img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/m/menloresearch/jan"/>
<img alt="Github Last Commit" src="https://img.shields.io/github/last-commit/menloresearch/jan"/>
<img alt="Github Contributors" src="https://img.shields.io/github/contributors/menloresearch/jan"/>
<img alt="GitHub closed issues" src="https://img.shields.io/github/issues-closed/menloresearch/jan"/>
<img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/m/janhq/jan"/>
<img alt="Github Last Commit" src="https://img.shields.io/github/last-commit/janhq/jan"/>
<img alt="Github Contributors" src="https://img.shields.io/github/contributors/janhq/jan"/>
<img alt="GitHub closed issues" src="https://img.shields.io/github/issues-closed/janhq/jan"/>
<img alt="Discord" src="https://img.shields.io/discord/1107178041848909847?label=discord"/>
</p>
@ -15,7 +15,7 @@
<a href="https://www.jan.ai/docs/desktop">Getting Started</a>
- <a href="https://discord.gg/Exe46xPMbK">Community</a>
- <a href="https://jan.ai/changelog">Changelog</a>
- <a href="https://github.com/menloresearch/jan/issues">Bug reports</a>
- <a href="https://github.com/janhq/jan/issues">Bug reports</a>
</p>
Jan is bringing the best of open-source AI in an easy-to-use product. Download and run LLMs with **full control** and **privacy**.
@ -48,7 +48,7 @@ The easiest way to get started is by downloading one of the following versions f
</table>
Download from [jan.ai](https://jan.ai/) or [GitHub Releases](https://github.com/menloresearch/jan/releases).
Download from [jan.ai](https://jan.ai/) or [GitHub Releases](https://github.com/janhq/jan/releases).
## Features
@ -73,7 +73,7 @@ For those who enjoy the scenic route:
### Run with Make
```bash
git clone https://github.com/menloresearch/jan
git clone https://github.com/janhq/jan
cd jan
make dev
```
@ -128,7 +128,7 @@ Contributions welcome. See [CONTRIBUTING.md](CONTRIBUTING.md) for the full spiel
## Contact
- **Bugs**: [GitHub Issues](https://github.com/menloresearch/jan/issues)
- **Bugs**: [GitHub Issues](https://github.com/janhq/jan/issues)
- **Business**: hello@jan.ai
- **Jobs**: hr@jan.ai
- **General Discussion**: [Discord](https://discord.gg/FTk2MvZwJH)

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@ -1,7 +1,7 @@
# Core dependencies
cua-computer[all]~=0.3.5
cua-agent[all]~=0.3.0
cua-agent @ git+https://github.com/menloresearch/cua.git@compute-agent-0.3.0-patch#subdirectory=libs/python/agent
cua-agent @ git+https://github.com/janhq/cua.git@compute-agent-0.3.0-patch#subdirectory=libs/python/agent
# ReportPortal integration
reportportal-client~=5.6.5

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@ -13,7 +13,7 @@ import * as core from '@janhq/core'
## Build an Extension
1. Download an extension template, for example, [https://github.com/menloresearch/extension-template](https://github.com/menloresearch/extension-template).
1. Download an extension template, for example, [https://github.com/janhq/extension-template](https://github.com/janhq/extension-template).
2. Update the source code:

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@ -18,7 +18,7 @@ We try to **keep routes consistent** to maintain SEO.
## How to Contribute
Refer to the [Contributing Guide](https://github.com/menloresearch/jan/blob/main/CONTRIBUTING.md) for more comprehensive information on how to contribute to the Jan project.
Refer to the [Contributing Guide](https://github.com/janhq/jan/blob/main/CONTRIBUTING.md) for more comprehensive information on how to contribute to the Jan project.
### Pre-requisites and Installation

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@ -1581,7 +1581,7 @@
},
"cover": {
"type": "string",
"example": "https://raw.githubusercontent.com/menloresearch/jan/main/models/trinity-v1.2-7b/cover.png"
"example": "https://raw.githubusercontent.com/janhq/jan/main/models/trinity-v1.2-7b/cover.png"
},
"engine": {
"type": "string",

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@ -27,7 +27,7 @@ export const APIReference = () => {
<ApiReferenceReact
configuration={{
spec: {
url: 'https://raw.githubusercontent.com/menloresearch/docs/main/public/openapi/jan.json',
url: 'https://raw.githubusercontent.com/janhq/docs/main/public/openapi/jan.json',
},
theme: 'alternate',
hideModels: true,

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@ -57,7 +57,7 @@ const Changelog = () => {
<p className="text-base mt-2 leading-relaxed">
Latest release updates from the Jan team. Check out our&nbsp;
<a
href="https://github.com/orgs/menloresearch/projects/30"
href="https://github.com/orgs/janhq/projects/30"
className="text-blue-600 dark:text-blue-400 cursor-pointer"
>
Roadmap
@ -150,7 +150,7 @@ const Changelog = () => {
<div className="text-center">
<Link
href="https://github.com/menloresearch/jan/releases"
href="https://github.com/janhq/jan/releases"
target="_blank"
className="dark:nx-bg-neutral-900 dark:text-white bg-black text-white hover:text-white justify-center dark:border dark:border-neutral-800 flex-shrink-0 px-4 py-3 rounded-xl inline-flex items-center"
>

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@ -72,7 +72,7 @@ export default function CardDownload({ lastRelease }: Props) {
return {
...system,
href: `https://github.com/menloresearch/jan/releases/download/${lastRelease.tag_name}/${downloadUrl}`,
href: `https://github.com/janhq/jan/releases/download/${lastRelease.tag_name}/${downloadUrl}`,
size: asset ? formatFileSize(asset.size) : undefined,
}
})

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@ -139,7 +139,7 @@ const DropdownDownload = ({ lastRelease }: Props) => {
return {
...system,
href: `https://github.com/menloresearch/jan/releases/download/${lastRelease.tag_name}/${downloadUrl}`,
href: `https://github.com/janhq/jan/releases/download/${lastRelease.tag_name}/${downloadUrl}`,
size: asset ? formatFileSize(asset.size) : undefined,
}
})

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@ -23,7 +23,7 @@ const BuiltWithLove = () => {
</div>
<div className="flex flex-col lg:flex-row gap-8 mt-8 items-center justify-center">
<a
href="https://github.com/menloresearch/jan"
href="https://github.com/janhq/jan"
target="_blank"
className="dark:bg-white bg-black inline-flex w-56 px-4 py-3 rounded-xl cursor-pointer justify-center items-start space-x-4 "
>

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@ -44,7 +44,7 @@ const Hero = () => {
<div className="mt-10 text-center">
<div>
<Link
href="https://github.com/menloresearch/jan/releases"
href="https://github.com/janhq/jan/releases"
target="_blank"
className="hidden lg:inline-block"
>

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@ -95,7 +95,7 @@ const Home = () => {
<div className="container mx-auto relative z-10">
<div className="flex justify-center items-center mt-14 lg:mt-20 px-4">
<a
href={`https://github.com/menloresearch/jan/releases/tag/${lastVersion}`}
href={`https://github.com/janhq/jan/releases/tag/${lastVersion}`}
target="_blank"
rel="noopener noreferrer"
className="bg-black/40 px-3 lg:px-4 rounded-full h-10 inline-flex items-center max-w-full animate-fade-in delay-100"
@ -270,7 +270,7 @@ const Home = () => {
data-delay="600"
>
<a
href="https://github.com/menloresearch/jan"
href="https://github.com/janhq/jan"
target="_blank"
rel="noopener noreferrer"
>
@ -387,7 +387,7 @@ const Home = () => {
</div>
<a
className="hidden md:block"
href="https://github.com/menloresearch/jan"
href="https://github.com/janhq/jan"
target="_blank"
rel="noopener noreferrer"
>
@ -413,7 +413,7 @@ const Home = () => {
</p>
<a
className="md:hidden mt-4 block w-full"
href="https://github.com/menloresearch/jan"
href="https://github.com/janhq/jan"
target="_blank"
rel="noopener noreferrer"
>

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@ -95,7 +95,7 @@ const Navbar = ({ noScroll }: { noScroll?: boolean }) => {
})}
<li>
<a
href="https://github.com/menloresearch/jan/releases/latest"
href="https://github.com/janhq/jan/releases/latest"
target="_blank"
rel="noopener noreferrer"
>
@ -141,7 +141,7 @@ const Navbar = ({ noScroll }: { noScroll?: boolean }) => {
<FaLinkedinIn className="size-5" />
</a>
<a
href="https://github.com/menloresearch/jan"
href="https://github.com/janhq/jan"
target="_blank"
rel="noopener noreferrer"
className="rounded-lg flex items-center justify-center"
@ -156,7 +156,7 @@ const Navbar = ({ noScroll }: { noScroll?: boolean }) => {
{/* Mobile Download Button and Hamburger */}
<div className="lg:hidden flex items-center gap-3">
<a
href="https://github.com/menloresearch/jan/releases/latest"
href="https://github.com/janhq/jan/releases/latest"
target="_blank"
rel="noopener noreferrer"
>
@ -278,7 +278,7 @@ const Navbar = ({ noScroll }: { noScroll?: boolean }) => {
<FaLinkedinIn className="size-5" />
</a>
<a
href="https://github.com/menloresearch/jan"
href="https://github.com/janhq/jan"
target="_blank"
rel="noopener noreferrer"
className="text-black rounded-lg flex items-center justify-center"
@ -296,7 +296,7 @@ const Navbar = ({ noScroll }: { noScroll?: boolean }) => {
asChild
>
<a
href="https://github.com/menloresearch/jan/releases/latest"
href="https://github.com/janhq/jan/releases/latest"
target="_blank"
rel="noopener noreferrer"
>

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@ -120,7 +120,7 @@ export function DropdownButton({
return {
...option,
href: `https://github.com/menloresearch/jan/releases/download/${lastRelease.tag_name}/${fileName}`,
href: `https://github.com/janhq/jan/releases/download/${lastRelease.tag_name}/${fileName}`,
size: asset ? formatFileSize(asset.size) : 'N/A',
}
})

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@ -18,7 +18,7 @@ description: Development setup, workflow, and contribution guidelines for Jan Se
1. **Clone Repository**
```bash
git clone https://github.com/menloresearch/jan-server
git clone https://github.com/janhq/jan-server
cd jan-server
```

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@ -19,7 +19,7 @@ Jan Server currently supports minikube for local development. Production Kuberne
1. **Clone the repository**
```bash
git clone https://github.com/menloresearch/jan-server
git clone https://github.com/janhq/jan-server
cd jan-server
```

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@ -24,4 +24,4 @@ Fixes 💫
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.5).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.5).

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@ -24,4 +24,4 @@ Jan now supports Mistral's new model Codestral. Thanks [Bartowski](https://huggi
More GGUF models can run in Jan - we rebased to llama.cpp b3012.Big thanks to [ggerganov](https://github.com/ggerganov)
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.0).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.0).

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@ -28,4 +28,4 @@ Jan now understands LaTeX, allowing users to process and understand complex math
![Latex](https://catalog.jan.ai/docs/jan_update_latex.gif)
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.4.12).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.4.12).

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@ -28,4 +28,4 @@ Users can now connect to OpenAI's new model GPT-4o.
![GPT4o](https://catalog.jan.ai/docs/jan_v0_4_13_openai_gpt4o.gif)
For more details, see the [GitHub release notes.](https://github.com/menloresearch/jan/releases/tag/v0.4.13)
For more details, see the [GitHub release notes.](https://github.com/janhq/jan/releases/tag/v0.4.13)

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@ -16,4 +16,4 @@ More GGUF models can run in Jan - we rebased to llama.cpp b2961.
Huge shoutouts to [ggerganov](https://github.com/ggerganov) and contributors for llama.cpp, and [Bartowski](https://huggingface.co/bartowski) for GGUF models.
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.4.14).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.4.14).

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@ -26,4 +26,4 @@ We've updated to llama.cpp b3088 for better performance - thanks to [GG](https:/
- Reduced chat font weight (back to normal!)
- Restored the maximize button
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.1).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.1).

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@ -32,4 +32,4 @@ We've restored the tooltip hover functionality, which makes it easier to access
The right-click options for thread settings are now fully operational again. You can now manage your threads with this fix.
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.2).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.2).

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@ -23,4 +23,4 @@ We've been working on stability issues over the last few weeks. Jan is now more
- Fixed the GPU memory utilization bar
- Some UX and copy improvements
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.3).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.3).

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@ -32,4 +32,4 @@ Switching between threads used to reset your instruction settings. Thats fixe
### Minor UI Tweaks & Bug Fixes
Weve also resolved issues with the input slider on the right panel and tackled several smaller bugs to keep everything running smoothly.
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.4).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.4).

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@ -23,4 +23,4 @@ Fixes 💫
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.7).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.7).

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@ -22,4 +22,4 @@ Jan v0.5.9 is here: fixing what needed fixing
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.9).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.9).

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@ -22,4 +22,4 @@ and various UI/UX enhancements 💫
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.8).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.8).

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@ -19,4 +19,4 @@ Jan v0.5.10 is live: Jan is faster, smoother, and more reliable.
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.10).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.10).

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@ -23,4 +23,4 @@ Jan v0.5.11 is here - critical issues fixed, Mac installation updated.
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.11).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.11).

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@ -25,4 +25,4 @@ Jan v0.5.11 is here - critical issues fixed, Mac installation updated.
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.12).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.12).

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@ -20,4 +20,4 @@ import ChangelogHeader from "@/components/Changelog/ChangelogHeader"
Update your product or download the latest: https://jan.ai
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.13).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.13).

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@ -33,4 +33,4 @@ Llama
Update your Jan or [download the latest](https://jan.ai/).
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.14).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.14).

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@ -25,4 +25,4 @@ import ChangelogHeader from "@/components/Changelog/ChangelogHeader"
Update your Jan or [download the latest](https://jan.ai/).
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.15).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.15).

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@ -26,4 +26,4 @@ import ChangelogHeader from "@/components/Changelog/ChangelogHeader"
Update your Jan or [download the latest](https://jan.ai/).
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.16).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.16).

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@ -20,4 +20,4 @@ import ChangelogHeader from "@/components/Changelog/ChangelogHeader"
Update your Jan or [download the latest](https://jan.ai/).
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.5.17).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.5.17).

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@ -18,4 +18,4 @@ import ChangelogHeader from "@/components/Changelog/ChangelogHeader"
Update your Jan or [download the latest](https://jan.ai/).
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.6.1).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.6.1).

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@ -18,4 +18,4 @@ import ChangelogHeader from "@/components/Changelog/ChangelogHeader"
Update your Jan or [download the latest](https://jan.ai/).
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.6.3).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.6.3).

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@ -23,4 +23,4 @@ new MCP examples.
Update your Jan or [download the latest](https://jan.ai/).
For more details, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.6.5).
For more details, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.6.5).

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@ -116,4 +116,4 @@ integrations. Stay tuned!
Update your Jan or [download the latest](https://jan.ai/).
For the complete list of changes, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.6.6).
For the complete list of changes, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.6.6).

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@ -89,4 +89,4 @@ We're continuing to optimize performance for large models, expand MCP integratio
Update your Jan or [download the latest](https://jan.ai/).
For the complete list of changes, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.6.7).
For the complete list of changes, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.6.7).

View File

@ -74,4 +74,4 @@ v0.6.8 focuses on stability and real workflows: major llama.cpp hardening, two n
Update your Jan or [download the latest](https://jan.ai/).
For the complete list of changes, see the [GitHub release notes](https://github.com/menloresearch/jan/releases/tag/v0.6.8).
For the complete list of changes, see the [GitHub release notes](https://github.com/janhq/jan/releases/tag/v0.6.8).

View File

@ -135,5 +135,5 @@ Min-p: 0.0
## 🤝 Community & Support
- **Discussions**: [HuggingFace Community](https://huggingface.co/Menlo/Jan-nano-128k/discussions)
- **Issues**: [GitHub Repository](https://github.com/menloresearch/deep-research/issues)
- **Issues**: [GitHub Repository](https://github.com/janhq/deep-research/issues)
- **Discord**: Join our research community for tips and best practices

View File

@ -9,7 +9,7 @@ Jan Server is a comprehensive self-hosted AI server platform that provides OpenA
Jan Server is a Kubernetes-native platform consisting of multiple microservices that work together to provide a complete AI infrastructure solution. It offers:
![System Architecture Diagram](https://raw.githubusercontent.com/menloresearch/jan-server/main/docs/Architect.png)
![System Architecture Diagram](https://raw.githubusercontent.com/janhq/jan-server/main/docs/Architect.png)
### Key Features
- **OpenAI-Compatible API**: Full compatibility with OpenAI's chat completion API

View File

@ -3,7 +3,7 @@ title: Development
description: Development setup, workflow, and contribution guidelines for Jan Server.
---
## Core Domain Models
![Domain Models Diagram](https://github.com/menloresearch/jan-server/raw/main/apps/jan-api-gateway/docs/System_Design.png)
![Domain Models Diagram](https://github.com/janhq/jan-server/raw/main/apps/jan-api-gateway/docs/System_Design.png)
## Development Setup
### Prerequisites
@ -42,7 +42,7 @@ description: Development setup, workflow, and contribution guidelines for Jan Se
1. **Clone Repository**
```bash
git clone https://github.com/menloresearch/jan-server
git clone https://github.com/janhq/jan-server
cd jan-server
```

View File

@ -40,7 +40,7 @@ Jan Server is a Kubernetes-native platform consisting of multiple microservices
- **Monitoring & Profiling**: Built-in performance monitoring and health checks
## System Architecture
![System Architecture Diagram](https://raw.githubusercontent.com/menloresearch/jan-server/main/docs/Architect.png)
![System Architecture Diagram](https://raw.githubusercontent.com/janhq/jan-server/main/docs/Architect.png)
## Services
### Jan API Gateway

View File

@ -19,7 +19,7 @@ keywords:
import Download from "@/components/Download"
export const getStaticProps = async() => {
const resRelease = await fetch('https://api.github.com/repos/menloresearch/jan/releases/latest')
const resRelease = await fetch('https://api.github.com/repos/janhq/jan/releases/latest')
const release = await resRelease.json()
return {

View File

@ -19,9 +19,9 @@ keywords:
import Home from "@/components/Home"
export const getStaticProps = async() => {
const resReleaseLatest = await fetch('https://api.github.com/repos/menloresearch/jan/releases/latest')
const resRelease = await fetch('https://api.github.com/repos/menloresearch/jan/releases?per_page=500')
const resRepo = await fetch('https://api.github.com/repos/menloresearch/jan')
const resReleaseLatest = await fetch('https://api.github.com/repos/janhq/jan/releases/latest')
const resRelease = await fetch('https://api.github.com/repos/janhq/jan/releases?per_page=500')
const resRepo = await fetch('https://api.github.com/repos/janhq/jan')
const repo = await resRepo.json()
const latestRelease = await resReleaseLatest.json()
const release = await resRelease.json()

View File

@ -14,12 +14,12 @@ import CTABlog from '@/components/Blog/CTA'
Jan now supports [NVIDIA TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) in addition to [llama.cpp](https://github.com/ggerganov/llama.cpp), making Jan multi-engine and ultra-fast for users with Nvidia GPUs.
We've been excited for TensorRT-LLM for a while, and [had a lot of fun implementing it](https://github.com/menloresearch/nitro-tensorrt-llm). As part of the process, we've run some benchmarks, to see how TensorRT-LLM fares on consumer hardware (e.g. [4090s](https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/), [3090s](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/)) we commonly see in the [Jan's hardware community](https://discord.com/channels/1107178041848909847/1201834752206974996).
We've been excited for TensorRT-LLM for a while, and [had a lot of fun implementing it](https://github.com/janhq/nitro-tensorrt-llm). As part of the process, we've run some benchmarks, to see how TensorRT-LLM fares on consumer hardware (e.g. [4090s](https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/), [3090s](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/)) we commonly see in the [Jan's hardware community](https://discord.com/channels/1107178041848909847/1201834752206974996).
<Callout type="info" >
**Give it a try!** Jan's TensorRT-LLM extension is available in Jan v0.4.9. We precompiled some TensorRT-LLM models for you to try: `Mistral 7b`, `TinyLlama-1.1b`, `TinyJensen-1.1b` 😂
Bugs or feedback? Let us know on [GitHub](https://github.com/menloresearch/jan) or via [Discord](https://discord.com/channels/1107178041848909847/1201832734704795688).
Bugs or feedback? Let us know on [GitHub](https://github.com/janhq/jan) or via [Discord](https://discord.com/channels/1107178041848909847/1201832734704795688).
</Callout>
<Callout type="info" >

View File

@ -70,34 +70,34 @@ brief survey of how other players approach deep research:
| Kimi | Interactive synthesis | 50100 | 3060+ | PDF, Interactive website | Free |
In our testing, we used the following prompt to assess the quality of the generated report by
the providers above. You can refer to the reports generated [here](https://github.com/menloresearch/prompt-experiments).
the providers above. You can refer to the reports generated [here](https://github.com/janhq/prompt-experiments).
```
Generate a comprehensive report about the state of AI in the past week. Include all
new model releases and notable architectural improvements from a variety of sources.
```
[Google's generated report](https://github.com/menloresearch/prompt-experiments/blob/main/Gemini%202.5%20Flash%20Report.pdf) was the most verbose, with a whopping 23 pages that reads
[Google's generated report](https://github.com/janhq/prompt-experiments/blob/main/Gemini%202.5%20Flash%20Report.pdf) was the most verbose, with a whopping 23 pages that reads
like a professional intelligence briefing. It opens with an executive summary,
systematically categorizes developments, and provides forward-looking strategic
insights—connecting OpenAI's open-weight release to broader democratization trends
and linking infrastructure investments to competitive positioning.
[OpenAI](https://github.com/menloresearch/prompt-experiments/blob/main/OpenAI%20Deep%20Research.pdf) produced the most citation-heavy output with 134 references throughout 10 pages
[OpenAI](https://github.com/janhq/prompt-experiments/blob/main/OpenAI%20Deep%20Research.pdf) produced the most citation-heavy output with 134 references throughout 10 pages
(albeit most of them being from the same source).
[Perplexity](https://github.com/menloresearch/prompt-experiments/blob/main/Perplexity%20Deep%20Research.pdf) delivered the most actionable 6-page report that maximizes information
[Perplexity](https://github.com/janhq/prompt-experiments/blob/main/Perplexity%20Deep%20Research.pdf) delivered the most actionable 6-page report that maximizes information
density while maintaining scannability. Despite being the shortest, it captures all
major developments with sufficient context for decision-making.
[Claude](https://github.com/menloresearch/prompt-experiments/blob/main/Claude%20Deep%20Research.pdf) produced a comprehensive analysis that interestingly ignored the time constraint,
[Claude](https://github.com/janhq/prompt-experiments/blob/main/Claude%20Deep%20Research.pdf) produced a comprehensive analysis that interestingly ignored the time constraint,
covering an 8-month period from January-August 2025 instead of the requested week (Jul 31-Aug
7th 2025). Rather than cataloging recent events, Claude traced the evolution of trends over months.
[Grok](https://github.com/menloresearch/prompt-experiments/blob/main/Grok%203%20Deep%20Research.pdf) produced a well-structured but relatively shallow 5-page academic-style report that
[Grok](https://github.com/janhq/prompt-experiments/blob/main/Grok%203%20Deep%20Research.pdf) produced a well-structured but relatively shallow 5-page academic-style report that
read more like an event catalog than strategic analysis.
[Kimi](https://github.com/menloresearch/prompt-experiments/blob/main/Kimi%20AI%20Deep%20Research.pdf) produced a comprehensive 13-page report with systematic organization covering industry developments, research breakthroughs, and policy changes, but notably lacks proper citations throughout most of the content despite claiming to use 50-100 sources.
[Kimi](https://github.com/janhq/prompt-experiments/blob/main/Kimi%20AI%20Deep%20Research.pdf) produced a comprehensive 13-page report with systematic organization covering industry developments, research breakthroughs, and policy changes, but notably lacks proper citations throughout most of the content despite claiming to use 50-100 sources.
### Understanding Search Strategies

View File

@ -13,7 +13,7 @@ import CTABlog from '@/components/Blog/CTA'
## Abstract
We present a straightforward approach to customizing small, open-source models using fine-tuning and RAG that outperforms GPT-3.5 for specialized use cases. With it, we achieved superior Q&A results of [technical documentation](https://nitro.jan.ai/docs) for a small codebase [codebase](https://github.com/menloresearch/nitro).
We present a straightforward approach to customizing small, open-source models using fine-tuning and RAG that outperforms GPT-3.5 for specialized use cases. With it, we achieved superior Q&A results of [technical documentation](https://nitro.jan.ai/docs) for a small codebase [codebase](https://github.com/janhq/nitro).
In short, (1) extending a general foundation model like [Mistral](https://huggingface.co/mistralai/Mistral-7B-v0.1) with strong math and coding, and (2) training it over a high-quality, synthetic dataset generated from the intended corpus, and (3) adding RAG capabilities, can lead to significant accuracy improvements.
@ -93,11 +93,11 @@ This final model can be found [here on Huggingface](https://huggingface.co/jan-h
As an additional step, we also added [Retrieval Augmented Generation (RAG)](https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/) as an experiment parameter.
A simple RAG setup was done using **[Llamaindex](https://www.llamaindex.ai/)** and the **[bge-en-base-v1.5 embedding](https://huggingface.co/BAAI/bge-base-en-v1.5)** model for efficient documentation retrieval and question-answering. You can find the RAG implementation [here](https://github.com/menloresearch/open-foundry/blob/main/rag-is-not-enough/rag/nitro_rag.ipynb).
A simple RAG setup was done using **[Llamaindex](https://www.llamaindex.ai/)** and the **[bge-en-base-v1.5 embedding](https://huggingface.co/BAAI/bge-base-en-v1.5)** model for efficient documentation retrieval and question-answering. You can find the RAG implementation [here](https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/nitro_rag.ipynb).
## Benchmarking the Results
We curated a new set of [50 multiple-choice questions](https://github.com/menloresearch/open-foundry/blob/main/rag-is-not-enough/rag/mcq_nitro.csv) (MCQ) based on the Nitro docs. The questions had varying levels of difficulty and had trick components that challenged the model's ability to discern misleading information.
We curated a new set of [50 multiple-choice questions](https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/mcq_nitro.csv) (MCQ) based on the Nitro docs. The questions had varying levels of difficulty and had trick components that challenged the model's ability to discern misleading information.
![image](https://hackmd.io/_uploads/By9vaE1Ta.png)
@ -121,7 +121,7 @@ We conclude that this combination of model merging + finetuning + RAG yields pro
Anecdotally, weve had some success using this model in practice to onboard new team members to the Nitro codebase.
A full research report with more statistics can be found [here](https://github.com/menloresearch/open-foundry/blob/main/rag-is-not-enough/README.md).
A full research report with more statistics can be found [here](https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md).
# References

View File

@ -203,7 +203,7 @@ When to choose ChatGPT Plus instead:
Ready to try gpt-oss?
- Download Jan: [https://jan.ai/](https://jan.ai/)
- View source code: [https://github.com/menloresearch/jan](https://github.com/menloresearch/jan)
- View source code: [https://github.com/janhq/jan](https://github.com/janhq/jan)
- Need help? Check our [local AI guide](/post/run-ai-models-locally) for beginners
<CTABlog />

View File

@ -4,7 +4,7 @@ title: Support - Jan
# Support
- Bugs & requests: file a GitHub ticket [here](https://github.com/menloresearch/jan/issues)
- Bugs & requests: file a GitHub ticket [here](https://github.com/janhq/jan/issues)
- For discussion: join our Discord [here](https://discord.gg/FTk2MvZwJH)
- For business inquiries: email hello@jan.ai
- For jobs: please email hr@jan.ai

View File

@ -31,7 +31,7 @@ const config: DocsThemeConfig = {
</div>
</span>
),
docsRepositoryBase: 'https://github.com/menloresearch/jan/tree/dev/docs',
docsRepositoryBase: 'https://github.com/janhq/jan/tree/dev/docs',
feedback: {
content: 'Question? Give us feedback →',
labels: 'feedback',

View File

@ -70,6 +70,6 @@ There are a few things to keep in mind when writing your extension code:
```
For more information about the Jan Extension Core module, see the
[documentation](https://github.com/menloresearch/jan/blob/main/core/README.md).
[documentation](https://github.com/janhq/jan/blob/main/core/README.md).
So, what are you waiting for? Go ahead and start customizing your extension!

View File

@ -56,7 +56,7 @@ async function fetchRemoteSupportedBackends(
supportedBackends: string[]
): Promise<{ version: string; backend: string }[]> {
// Pull the latest releases from the repo
const { releases } = await _fetchGithubReleases('menloresearch', 'llama.cpp')
const { releases } = await _fetchGithubReleases('janhq', 'llama.cpp')
releases.sort((a, b) => b.tag_name.localeCompare(a.tag_name))
releases.splice(10) // keep only the latest 10 releases
@ -98,7 +98,7 @@ export async function listSupportedBackends(): Promise<
const sysType = `${os_type}-${arch}`
let supportedBackends = []
// NOTE: menloresearch's tags for llama.cpp builds are a bit different
// NOTE: janhq's tags for llama.cpp builds are a bit different
// TODO: fetch versions from the server?
// TODO: select CUDA version based on driver version
if (sysType == 'windows-x86_64') {
@ -247,7 +247,7 @@ export async function downloadBackend(
// Build URLs per source
const backendUrl =
source === 'github'
? `https://github.com/menloresearch/llama.cpp/releases/download/${version}/llama-${version}-bin-${backend}.tar.gz`
? `https://github.com/janhq/llama.cpp/releases/download/${version}/llama-${version}-bin-${backend}.tar.gz`
: `https://catalog.jan.ai/llama.cpp/releases/${version}/llama-${version}-bin-${backend}.tar.gz`
const downloadItems = [
@ -263,7 +263,7 @@ export async function downloadBackend(
downloadItems.push({
url:
source === 'github'
? `https://github.com/menloresearch/llama.cpp/releases/download/${version}/cudart-llama-bin-${platformName}-cu11.7-x64.tar.gz`
? `https://github.com/janhq/llama.cpp/releases/download/${version}/cudart-llama-bin-${platformName}-cu11.7-x64.tar.gz`
: `https://catalog.jan.ai/llama.cpp/releases/${version}/cudart-llama-bin-${platformName}-cu11.7-x64.tar.gz`,
save_path: await joinPath([libDir, 'cuda11.tar.gz']),
proxy: proxyConfig,
@ -272,7 +272,7 @@ export async function downloadBackend(
downloadItems.push({
url:
source === 'github'
? `https://github.com/menloresearch/llama.cpp/releases/download/${version}/cudart-llama-bin-${platformName}-cu12.0-x64.tar.gz`
? `https://github.com/janhq/llama.cpp/releases/download/${version}/cudart-llama-bin-${platformName}-cu12.0-x64.tar.gz`
: `https://catalog.jan.ai/llama.cpp/releases/${version}/cudart-llama-bin-${platformName}-cu12.0-x64.tar.gz`,
save_path: await joinPath([libDir, 'cuda12.tar.gz']),
proxy: proxyConfig,

View File

@ -35,7 +35,7 @@
</screenshots>
<url type="homepage">https://jan.ai/</url>
<url type="bugtracker">https://github.com/menloresearch/jan/issues</url>
<url type="bugtracker">https://github.com/janhq/jan/issues</url>
<content_rating type="oars-1.1" />

View File

@ -4,7 +4,7 @@ version = "0.6.599"
description = "Use offline LLMs with your own data. Run open source models like Llama2 or Falcon on your internal computers/servers."
authors = ["Jan <service@jan.ai>"]
license = "MIT"
repository = "https://github.com/menloresearch/jan"
repository = "https://github.com/janhq/jan"
edition = "2021"
rust-version = "1.77.2"
resolver = "2"

View File

@ -4,7 +4,7 @@ version = "0.6.599"
authors = ["Jan <service@jan.ai>"]
description = "Tauri plugin for hardware information and GPU monitoring"
license = "MIT"
repository = "https://github.com/menloresearch/jan"
repository = "https://github.com/janhq/jan"
edition = "2021"
rust-version = "1.77.2"
exclude = ["/examples", "/dist-js", "/guest-js", "/node_modules"]

View File

@ -4,7 +4,7 @@ version = "0.6.599"
authors = ["Jan <service@jan.ai>"]
description = "Tauri plugin for managing Jan LlamaCpp server processes and model loading"
license = "MIT"
repository = "https://github.com/menloresearch/jan"
repository = "https://github.com/janhq/jan"
edition = "2021"
rust-version = "1.77.2"
exclude = ["/examples", "/dist-js", "/guest-js", "/node_modules"]

View File

@ -4,7 +4,7 @@ version = "0.1.0"
authors = ["Jan <service@jan.ai>"]
description = "Tauri plugin for RAG utilities (document parsing, types)"
license = "MIT"
repository = "https://github.com/menloresearch/jan"
repository = "https://github.com/janhq/jan"
edition = "2021"
rust-version = "1.77.2"
exclude = ["/examples", "/dist-js", "/guest-js", "/node_modules"]

View File

@ -4,7 +4,7 @@ version = "0.1.0"
authors = ["Jan <service@jan.ai>"]
description = "Tauri plugin for vector storage and similarity search"
license = "MIT"
repository = "https://github.com/menloresearch/jan"
repository = "https://github.com/janhq/jan"
edition = "2021"
rust-version = "1.77.2"
exclude = ["/examples", "/dist-js", "/guest-js", "/node_modules"]

View File

@ -72,7 +72,7 @@
"updater": {
"pubkey": "dW50cnVzdGVkIGNvbW1lbnQ6IG1pbmlzaWduIHB1YmxpYyBrZXk6IDJFNDEzMEVCMUEzNUFENDQKUldSRXJUVWE2ekJCTGc1Mm1BVXgrWmtES3huUlBFR0lCdG5qbWFvMzgyNDhGN3VTTko5Q1NtTW0K",
"endpoints": [
"https://github.com/menloresearch/jan/releases/latest/download/latest.json"
"https://github.com/janhq/jan/releases/latest/download/latest.json"
],
"windows": {
"installMode": "passive"

View File

@ -65,7 +65,7 @@ describe('useReleaseNotes', () => {
})
expect(mockFetch).toHaveBeenCalledWith(
'https://api.github.com/repos/menloresearch/jan/releases'
'https://api.github.com/repos/janhq/jan/releases'
)
expect(result.current.loading).toBe(false)
expect(result.current.error).toBe(null)
@ -292,7 +292,7 @@ describe('useReleaseNotes', () => {
draft: false,
body: 'Release notes',
published_at: '2024-01-01T00:00:00Z',
html_url: 'https://github.com/menloresearch/jan/releases/tag/v1.5.0',
html_url: 'https://github.com/janhq/jan/releases/tag/v1.5.0',
assets: [],
},
]

View File

@ -25,7 +25,7 @@ export const useReleaseNotes = create<ReleaseState>((set) => ({
set({ loading: true, error: null })
try {
const res = await fetch(
'https://api.github.com/repos/menloresearch/jan/releases'
'https://api.github.com/repos/janhq/jan/releases'
)
if (!res.ok) throw new Error('Failed to fetch releases')
const releases = await res.json()

View File

@ -450,7 +450,7 @@ function General() {
description={t('settings:general.releaseNotesDesc')}
actions={
<a
href="https://github.com/menloresearch/jan/releases"
href="https://github.com/janhq/jan/releases"
target="_blank"
rel="noopener noreferrer"
>
@ -470,7 +470,7 @@ function General() {
description={t('settings:general.githubDesc')}
actions={
<a
href="https://github.com/menloresearch/jan"
href="https://github.com/janhq/jan"
target="_blank"
rel="noopener noreferrer"
>
@ -510,7 +510,7 @@ function General() {
description={t('settings:general.reportAnIssueDesc')}
actions={
<a
href="https://github.com/menloresearch/jan/issues/new"
href="https://github.com/janhq/jan/issues/new"
target="_blank"
>
<div className="flex items-center gap-1">

View File

@ -102,7 +102,7 @@ export default defineConfig(({ mode }) => {
POSTHOG_HOST: JSON.stringify(env.POSTHOG_HOST),
GA_MEASUREMENT_ID: JSON.stringify(env.GA_MEASUREMENT_ID),
MODEL_CATALOG_URL: JSON.stringify(
'https://raw.githubusercontent.com/menloresearch/model-catalog/main/model_catalog.json'
'https://raw.githubusercontent.com/janhq/model-catalog/main/model_catalog.json'
),
AUTO_UPDATER_DISABLED: JSON.stringify(
env.AUTO_UPDATER_DISABLED === 'true'