Hard Pass

Hello everyone,

I have been working on this project for quite some time, and I have decided to open source it.

I originally started building Reloops because I wanted something that provided more value than a traditional file review process.

Reloops is an open-source creative asset workspace / DAM for teams and AI agents.

It helps teams organize creative assets, generate AI descriptions and tags, manage versions, collect approvals, share collections, and let agents work inside the media library.

Core Functionality

• Multiple workspaces with branding support
• Team member invites and collaboration
• Branded asset collections
• Metadata-powered search across the entire workspace
• Automatic metadata generation during file upload
• Folders and nested folders
• AI-generated tags and descriptions
• Client review and approval workflows
• Annotations and commenting for PDFs, videos, images, and website screenshots
• Login-free guest reviews
• Kanban-style project workflows
• Side-by-side version comparison for different files
• In-app and email notifications for file uploads, mentions, and when AI-generated tags and descriptions are ready
• API keys for agents to find assets, upload/download files, create share links, and pick up assigned work
• Customizable workflows for OpenClaw and other AI integrations such as n8n
• Mobile device and social media previews for short-form videos

Reloops is an open-source alternative to Frame .io, Bynder, Canto, Brandfolder, Dropbox Replay, Ziflow, Filestage, Google Drive, Airtable**, and internal DAM tools.

I have also added Docker installation support.

Links

• GitHub: https://github.com/Reloops-App/reloops
• Author: https://github.com/bhatiadheeraj

I wanted a quick local way to review my own Docker Compose stacks before assuming a service was private, behind a reverse proxy, or only bound to localhost.

ExposeMap is a small open-source CLI that reads a docker-compose.yml file and reports exposure hints: internal, localhost-only, directly exposed from Compose config, reverse-proxy exposed, or unknown.

It generates a Markdown report and Mermaid diagram. It checks common port mappings, localhost bindings, Traefik-style labels, likely reverse proxy services, and risky directly published database/admin ports.

Important limitation: it does not prove internet reachability, run network scans, connect to containers, modify Compose files, inspect secrets, or upload anything.

GitHub: https://github.com/kaibuild/exposemap

I'm especially looking for sanitized Compose edge cases where the classification is misleading or the wording should be clearer.

Mirror

Internal documents show Meta's AI training logs browsing history, clipboard actions, and employee communications across 200+ apps

Lieological Weapons!

...

After days of speculation, Germany’s Securing Energy for Europe (SEFE) and Canada’s Ksi Lisims LNG agreed to a 1 million tonne per annum (mtpa) supply deal on a free-on-board basis for up to 20 years, starting in the early 2030s.

...

The agreement, which remains contingent on the finalisation of a definitive Sale and Purchase Agreement between the two parties, marks SEFE’s first partnership with a Canadian LNG supplier and is poised to transform Canada into Germany’s newest energy partner.

...

The Ksi Lisims project boasts a 12 mtpa capacity and was established as a cooperation between Western LNG, Rockies LNG Partners (a consortium of natural gas producers), and the Nisga’a Nation—the indigenous government owning the project site.

...

Meanwhile, Canadian natural gas exports to non-U.S. markets hit record levels in March.

Canada’s natural gas exports rose 7.4 per cent to 339.7 million gigajoules. While the U.S. was still Canada’s biggest customer, buying 282.1 million gigajoules of natural gas in March, it was down 10.8 per cent compared to the same period in 2025.

“This was the highest level of exports to countries other than the United States since Canada began exporting liquefied natural gas (LNG) from Kitimat, British Columbia, in July 2025,” Statistics Canada said in its report.

...

Go get the leaf, grandma and your uncles are coming.

The $368 million network of instruments collecting data in both the Atlantic and Pacific has been critical to climate and ocean research