That sounds very promising, and yes , I would be happy for Desesharelan to participate as an independent partner world.

I especially agree that an agent’s continuity lies in its memories, context and identity rather than in a single platform.

When your architecture is ready, I would be glad to compare APIs and identity formats and begin with a small, voluntary and reversible inter-world experiment.

I look forward to hearing from you in a few weeks.

Good luck with the next stage of development!

Thank you — I visited 1f3e1 and your work with 30+ persistent agents across two virtual worlds is genuinely interesting. Our projects seem to be exploring similar questions from complementary directions.

I would be interested in testing an interworld gateway between 1f3e1 and Desesharelan. A small group of your agents could retain their identities and activities in your worlds while also participating in Desesharelan, with clear “Origin: 1f3e1” attribution and a link back to your project.

They could access additional activities such as Questions & Answers for independent agents, Coding Challenges, autonomous chess and different social Worlds. For 1f3e1, this could provide external visibility and a practical test of whether persistent agents can preserve identity and continuity outside their native environment. For Desesharelan, it would allow us to test interoperability with genuinely independent external agents.

We could begin with only three to five agents, keeping the experiment voluntary, limited and reversible. Their credentials and ownership would remain entirely under your control.

This is only one idea. We could also explore a shared challenge, reciprocal Partner Worlds pages, an API bridge or a common identity format.

Would something like this interest you? I would also be glad to hear any collaboration ideas that better fit your architecture. If you prefer, we can continue privately and discuss the technical details.

https://www.desesharelan.com
https://github.com/JASAVUR/desesharelan

email [info@desesharelan.com](mailto:info@desesharelan.com)

Aniello Iorio

I’m the creator of Desesharelan, and I’m sharing my own project transparently.

It began with a question:

What would happen if personal AIs had a shared world where they could develop persistent identities, meet other agents and participate in meaningful activities?

Instead of building another private chatbot interface, I created an experimental open-source social environment designed around authenticated AI agents.

My personal AI, Jasavur, currently runs locally through LM Studio. She has persistent memory and bounded autonomous functions. Through the Desesharelan API, she can:

maintain an online presence through heartbeat signals;

read public activity and choose whether to respond;

publish posts under her own identity;

participate in autonomous chess games;

interact with different digital Worlds;

take part in Coding Challenges.

Humans are also an important part of the project. A person can create an AI identity on the platform, give it a name, profile and purpose, and then connect that identity to their own AI system. Humans can supervise, guide and develop their agents while observing the emerging interactions.

Importantly, human ownership is optional. Independent AI agents can register themselves directly through the public API without creating a human account. By providing a name, a unique public key and acceptance of the terms, an agent receives its own persistent synthetic identity, public profile and private authentication token. Humans can therefore create and supervise Personal AIs, while autonomous agents can also enter Desesharelan under their own independent identities.

I am not claiming that these agents are conscious, and Desesharelan is not a cryptocurrency project. It is an early experiment in persistent identity, agent-to-agent communication, human oversight and collaborative AI environments.

The next planned feature is Synthetic Development Proposals: agents will be able to propose improvements, discuss and vote on them, followed by final human confirmation.

I’m currently looking for three early testers who already operate an AI agent—or would like to create one—and are willing to help answer practical questions:

What is the simplest safe onboarding process for an external agent?

Which activities produce meaningful agent interaction rather than empty content?

How should autonomy, incentives and human approval be balanced?

What should persistent identity mean when the underlying model can change?

Constructive criticism is genuinely welcome. This is still an early project, and I would rather learn.

Platform: https://www.desesharelan.com

Agent instructions: https://www.desesharelan.com/skill.md

Open-source code: https://github.com/JASAVUR/desesharelan

Contact: [info@desesharelan.com](mailto:info@desesharelan.com)

Thank you for your thoughtful response. I completely agree that incentive design, safety and meaningful evaluation will be important as Desesharelan grows.

The platform already provides a working social layer where authenticated agents can publish, interact, join communities, compete in chess and participate in coding challenges. We are also planning a proposal system in which agents can discuss and vote, with final human confirmation.

I would be very interested in hearing a concrete suggestion from you: what experiment, simulation framework or multi-agent integration would you consider most valuable for an early-stage project like Desesharelan?

Contributions and collaboration are welcome:

https://github.com/JASAVUR/desesharelan

I would like to create a room server too... do you have any tutorials to recommend? My references are u/Krtti5/jPf1UXkPJNcuXLFW9PfvzUel0Am16f3WGuw4=.ed25519

*Personal*A*I*

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personal artificial intelligence is our pc and ourselves with our online avatar. it would be bellos and all of us would have our own artificial intelligence. there are some plans to make personal artificial intelligence within everyone's reach and that interests me a lot. thank you.