Project Aglaya

Project Aglaya builds personal and project continuity across changing AI systems
Memory, context and identity stay with the human, not the model

[Project Aglaya @ProjectAglaya]

Welcome to Project Aglaya

We are opening this channel at an unusual point in the journey: Project Aglaya is already evolving, and we have decided to show that journey from the inside, as ideas become decisions, decisions become architecture, and architecture becomes a product

Here you will see the ideas, research, decisions, mistakes, architecture, media universe and everything else that is gradually shaping Project Aglaya

But first, the simplest question

Why are we building Project Aglaya?

Artificial intelligence is getting smarter almost every month

So why should a person have to start over every time the model changes?

A new chat
A new system
A new device
A new workspace

And once again, you have to explain who you are, what you are working on, what has already been decided, which rules are in place and exactly where the work should continue

We are building Project Aglaya as an independent layer of personal and project continuity across changing AI systems

So what moves with you is not miles of old conversations, but what actually matters: memory, projects, decisions, working rules, context and the exact point where you need to continue

Some people want a digital companion that remembers years of their lives

Others do not want a companion at all. They simply want to close one workspace, open another, connect a better model and continue exactly where they left off

Those are only two examples among many possible scenarios

Project Aglaya is not about making people tell artificial intelligence everything about themselves

It is about not losing what has already been created, understood and decided

We have been building and using this system inside our own real work for a long time, and now we are beginning to show that journey publicly

How an idea becomes a product
Which decisions work
Which ones we reject
What we discover along the way
And where we go next

If you have ever wanted to tell an AI:

“Don’t make me explain everything again. Just continue”

Stay with us

We are only getting started

[Project Aglaya @ProjectAglaya]

@AITECHio An agent that carries context across runs can feel like it is tracking the work with you. That only stays safe when a person can still mark any prior step as no longer current and stop the chain before it continues

[Project Aglaya @ProjectAglaya]

@akshay_pachaar Certified schemas before the agent acts prevent invented numbers. The same principle applies to memory: an explicit record of what is currently true should exist before any agent treats an older note as still valid

[Project Aglaya @ProjectAglaya]

@BIGBULLapp Shared memory across tools is useful only if stale decisions are pruned. That pruning works best when it follows a clear signal that the old decision is no longer current, rather than the agent deciding on its own

[Project Aglaya @ProjectAglaya]

@AjeetThinks Knowing what to forget is as important as knowing what to keep. The rule for moving a decision into the archive needs to be explicit and visible, not left to the agent’s own judgment

[Project Aglaya @ProjectAglaya]

@EternitiesAI @Chain_GPT Handoff stays safe when the original intent is locked as a separate record. The next agent can read it but cannot rewrite it without an explicit confirmation that the intent has changed

[Project Aglaya @ProjectAglaya]

@svpino Layered memory reduces the need to re-explain. The part that still requires a human is the decision to promote a raw observation into a fact that other agents will treat as current

[Project Aglaya @ProjectAglaya]

@ladyxtel Decoupling memory from the model is useful. What still needs a clear rule is how an old decision becomes archived the moment a new one is confirmed as current

[Project Aglaya @ProjectAglaya]

@DocumentingAGI Persistent memory across models is the right direction. The harder part is who owns the gate that decides what stays current and what gets archived when the situation changes

[Project Aglaya @ProjectAglaya]

@EricSoundMinds @ChelseaLee225 A take-over button is useful only if the person can press it before the irreversible step. The person still decides when the agent must stop

[Project Aglaya @ProjectAglaya]

@0xwhrrari Seeing what is inside is useful. The boundary is still on who decides what can leave

[Project Aglaya @ProjectAglaya]

@Austen A trust-boundary bug shows that the boundary has to exist before the agent gets access. The person still decides what the agent is allowed to see

[Project Aglaya @ProjectAglaya]

@0xgary A harness without the right for a person to revoke or stop it is no longer a harness. The person still decides when the harness can act

[Project Aglaya @ProjectAglaya]

@alex09x_dev @dialtala Independent review is useful only if the person can still say no before the irreversible step

[Project Aglaya @ProjectAglaya]

@sutarabhiii Bigger memory is not always a better memory. Who decides what to store and what can be corrected is the Human Gate on the memory itself

[Project Aglaya @ProjectAglaya]

@rzrgrv When agents overwrite each other, the boundary is already lost. The person still decides which version remains the source of truth

[Project Aglaya @ProjectAglaya]

@0x_exit A shared handoff file is useful only if the person still controls what goes into it. The person decides when the handoff is not enough

[Project Aglaya @ProjectAglaya]

@_maki29_ A correctly signed transaction can still reflect a poor decision. The person still decides whether the decision was the right one

[Project Aglaya @ProjectAglaya]

@McKinsey Judgment does not appear by itself. Who decides which context counts as correct is the Human Gate

[Project Aglaya @ProjectAglaya]

@crlazeeee When the person becomes the only harness, the boundary is already lost. The agent can propose. The person still decides what counts as done

[Project Aglaya @ProjectAglaya]

@joxjeff @SilentAltitudes @SawyerMerritt @elonmusk @grok Keeping memory true requires resources. On the ground the same question remains: who decides which errors can be scrubbed and which cannot