OCL

As intelligence scales beyond human capacity, OCL provides the cloud foundation where AI agents operate, collaborate, and orchestrate at any scale.

[OCL @OpenCloudLayer]

We’re currently working on another new integration for $OCL

Continuing to expand the platform with more tools, agents, and AI-related services while improving the infrastructure behind everything.

More updates soon.

[OCL @OpenCloudLayer]

Happy Saturday from $OCL 🚀

Today we���re focusing on:

improving current platform integrations
infrastructure and server optimizations
polishing deployment flow
work around the OCL Agent Library
preparing next AI integrations
fixing smaller bugs and stability issues

Step by step we’re making the platform more complete and easier to use every day.

[OCL @OpenCloudLayer]

Dolphin AI is now live on the $OCL app

We’ll keep improving the platform, adding new integrations, and focusing on providing useful and reliable services for our users.

More updates and releases coming soon.

[OCL @OpenCloudLayer]

Doing the final tests for our Dolphin integration on $OCL.

If everything goes smoothly, we’ll release it today - otherwise tomorrow after a bit more polishing and optimization.

Infrastructure, deployment flow, and overall stability are looking good so far

[OCL @OpenCloudLayer]

$OCL integration progress update:

Today we added:

-payment route logic for @dphnAI
-server boot-up flow and handling

Step by step the whole system is coming together.
Every day we’re making more progress toward fully usable deployments and smoother infrastructure management.

[OCL @OpenCloudLayer]

Today on $OCL we’ll be sharing more information around the DPHN AI integration.

Going to post some screenshots, show parts of the workflow, and give a better look into how the integration is progressing behind the scenes.

Slowly getting everything where we want it to be

[OCL @OpenCloudLayer]

$OCL update regarding the DPHN AI integration.

Today was mainly focused on infrastructure preparation and testing for the first heavier GPU-based deployment on the platform.

What we worked on today:

preparing the environment for GPU workloads
testing deployment flow for larger AI-related services
working on storage and resource allocation
optimizing server setup for future model training usage
planning how users will be able to launch and manage their own AI environments through OCL

The goal with this integration is bigger than just adding another platform. We want OCL to become a place where users can actually run, test, and train AI tools without needing to build the whole infrastructure stack themselves.

Still a lot of work ahead, but progress is moving well.

[OCL @OpenCloudLayer]

Today we’re working on integrating DPHN AI into $OCL.
@dphnAI
We think it’s a really strong fit for the direction we’re building toward, especially around accessible AI infrastructure and customizable environments.

This will also become our first heavier GPU-focused integration, including the ability for users to train their own models directly through the platform.

A big step forward for the ecosystem.

[OCL @OpenCloudLayer]

$OCL progress update:

1.preparing next platform integration
2.added optimizations to current platforms
3.increased SSD space for Hermes agents
4.fixed minor server boot issues

Improving the infrastructure step by step while continuing work on new integrations.

[OCL @OpenCloudLayer]

What is the $OCL Agent Library?

Imagine you want to run multiple AI agents with different skillsets together, but without being locked into one specific platform or worrying about compatibility between different tools.

That’s the idea behind the OCL Agent Library.

Instead of adapting yourself to one ecosystem, you simply choose the agents you actually need and build your own environment around them through OCL.

No unnecessary complexity, no forcing users into one stack - just the agents useful for your workflow.

[OCL @OpenCloudLayer]

Hermes agent is now fully released on $OCL.

You can deploy and run new projects through cloud infrastructure without dealing with complex setup, configs, or orchestration manually.

Current focus for today:

-pricing adjustments
-more details around the OCL Agent Library
-planning next platform integrations

Building step by step

[OCL @OpenCloudLayer]

Hermes agent is now live on $OCL.
@NousResearch
We’re continuing to focus on bringing high-quality platforms and AI tools into the ecosystem instead of flooding it with random integrations.

Also hit a new milestone today - 4 active servers running on OCL

https://t.co/nFY5DS3hFI

[OCL @OpenCloudLayer]

Current AI market has hundreds of agents, tools, and frameworks releasing constantly, but combining them, training them, and actually utilizing them together is still complicated for most users.

That’s one of the reasons we’re developing the OCL Agent Library.

The idea is simple - pick the agents you need, combine them into your own environment, deploy them through OCL, and actually use them without spending days configuring infrastructure and setups manually.

Trying to make AI environments feel modular and accessible instead of fragmented.

[OCL @OpenCloudLayer]

Starting this week strong at $OCL.

We’ve been seeing a lot of hype around Hermes agent lately, so we’re working on bringing it into the platform as well.

Also getting ready to finally share the concept behind the OCL Agent Library - open source agents that are easy to deploy and use directly through OCL without complicated setup.

A lot more coming this week.

[OCL @OpenCloudLayer]

Rowboat @rowboatlabshq added to the OCL platform

https://t.co/5zN2walqMA

[OCL @OpenCloudLayer]

Updated the $OCL docs with the latest changes.

https://t.co/6wEwJmfzLG
Added:

1. new main overview page
2. Current Updates section
3. $OCL live status
4. contract address
5. ongoing work around the OCL Agent Library

Trying to keep everything transparent and updated as development moves forward.

[OCL @OpenCloudLayer]

Happy Sunday from $OCL.

Today we’re releasing @rowboatlabshq on the platform and also sharing more plans around the OCL Agent Library (use any agent EASILY)

A lot of work happening behind the scenes lately - more integrations and tools are already in progress.

[OCL @OpenCloudLayer]

RowBoat integration is currently in progress on $OCL.

If everything goes smoothly, we’re planning to deploy it tomorrow.

Have a great evening everyone

[OCL @OpenCloudLayer]

Happy Saturday from $OCL.

Today we’re planning to release details about our Agent Library, continue working on new platform integrations, and move further with bringing the OCL token deeper into the ecosystem.

Building every day and pushing the platform step by step.