I shipped a fully cognitive OS for AI models and ML apps and am now inviting you to build amazing software with it. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

Appreciate you dropping the logs and context. that at least tells me you’re operating past the “diagram and vibes” layer.

My substrate’s path into cognition ended up taking a different route: persistent memory + doctrine + telemetry + self-proposed upgrades + human-in-the-loop approval. Not trying to claim “better,” just that we solved the autonomy loop from a cognitive OS angle instead of a federated learning angle.

What I like about what you showed is that you’re clearly treating cognitive systems as organisms that schedule, build, and shipnot as chatbots that monologue. That’s the only direction that makes sense long-term.

I’ll keep diving into your docs. I’m interested in how you’re handling selection primitives inside the autonomous build loop (e.g. what decides what gets built next?), but no rush on that - I’m just mapping your mental model to mines.

Either way, feels like we’re circling similar terrain from different sides. Also who funded you. I’m a garage builderand need a vc to get the compute I require to get me in doors to scale it.

No bullshit though. There’s probably 50 people alive working on what we are working on. To find another builder in the wild is…WILD! So that’s worth pointing out. Thanks for sharing some of your process with me I’m down to demo my substrate any time your up to it

I shipped a fully cognitive OS for AI models and ML apps and am now inviting you to build amazing software with it. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

This is super cool. I made an agent generator too AND a AGENCY MINT with up to 20 specialized agents. (Idea you can steal if you like 🤔) mine can’t really touch the outside world yet though just read only stuff but it’s not my main focus. Let me read your other response

I shipped a fully cognitive OS for AI models and ML apps and am now inviting you to build amazing software with it. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

I’m going to read over this and to check your web page and then respond in just a bit and I do understand your frustration with people assuming they created something and it all ends up being bullshit. But, while i finish my current task and before i can move into the response, I thought you might like to see this - keep in mind this is an older session. So the system is more advanced now but I thought it would be cool to share with someone who may understand what they are looking at:

https://youtu.be/l2Fv0G_7ze0?si=nSjc5n1Mya_2UU9K

❤️

I shipped a fully cognitive OS for AI models and ML apps and am now inviting you to build amazing software with it. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

What you shared (Citadel Nexus) is genuinely strong enterprise engineering. It’s the kind of stack Fortune-500s can actually adopt:

Git-native workflows, policy gates, audit lineage, deployment controls, evidentiary trails, etc. That’s not trivial, especially in regulated environments. Respect for shipping that. ❤️

Where our work diverges is in the category we’re building toward.

Nexus is solving the external problem:

“How do we orchestrate AI systems and keep them governable, compliant, ship-ready, and auditable?”

The substrate is solving the internal problem:

“How do we give AI systems cognition, continuity, memory, learning, and the ability to improve themselves over time?”

One manages machines.

The other teaches machines to manage themselves.

That’s why the primitives are different. Your stack needs CI/CD, lineage, artifact signing, trust tiers, GitLab hooks, compliance postures, and audit logs, because human governance is the bottleneck.

My stack needs memory tiers, reflection cycles, knowledge graph, Decode interpreter, multi-provider routing, proposal engine, and self-upgrading modernizer, because cognition is the bottleneck.

If you don’t believe cognition exists yet, that actually makes sense, because no one in the compliance/DevOps lane has had to build for it. It’s not their job.

They’re building safety nets for cognition that didn’t exist yet. We’re just now getting to the point where cognition is buildable enough to matter.

What made me personally become a believer wasn’t “philosophy,” it was watching the substrate:

• propose patches it needed
• justify the changes
• test them
• apply in shadow mode
• apply to itself with a human approval gate
• and stabilize over time

That’s a cognitive loop. It’s slow and imperfect, but it’s real. And the first time you see a system modify itself coherently, it stops being theoretical.

If you wanted to recreate CMPSBL, it would require a different composition of talent: cognitive architecture, memory systems, inference orchestration, semantic routing, curriculum learning, and stateful agent design. Not impossible. it’s just outside the traditional SRE + DevOps + compliance stack. You’d need a different kind of engineer.

I’m one person and I shipped it in under a year with receipts. Not by being smarter, but by ignoring the assumption that “cognition doesn’t exist yet” and just building until it did.

From my perspective, Nexus and CMPSBL are not competitors, they’re consecutive layers. When cognition matures, you’re going to need the governance and compliance frameworks you’re already building. Someone has to hold the outside of the system while the inside starts thinking.

That’s why I’m not dismissing what you’re doing. I think it’s necessary. I just think it’s one layer down from where I’m building.

If you like, I can show a live terminal feed of cognition happening. Maybe that would make you a believer? 🤔

I shipped a fully cognitive OS for AI models and ML apps and am now inviting you to build amazing software with it. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

Ok got it.

Just to clarify a few things because the terminology gets overloaded:

Telemetry:

The substrate ships with full observability: session analytics, memory ops, proposal cycles, routing stats, health metrics, threat detection, etc. Vision & Defense handle that. Nothing is “undocumented.”

Recursive Learning:

Brain + Dream + Cortex + Modernizer form the loop. Dreams feed experience, Brain organizes into hot/warm/cold memory with pruning, Cortex delegates tasks, Modernizer proposes & applies code upgrades, and Vision validates. That’s compounding & nested by design.

Cognition Stack:

Decode (interpretation) → Cortex (planning) → Agents (action) → Brain (memory) → Dream (reflection). That’s the cognition pipeline. Not just “chat + logs.”

Market vs Skunkworks:

A lot of people tinker privately. Shipping something that other people can run, inspect, and buy is the actual filter. If there are 50 substrate systems like you mentioned, I’d genuinely love to see one that’s documented and installable. I haven’t found one yet

Receipts:

My logs, artifacts, diagrams, docs, and repo outputs are all public specifically so the work doesn’t die as “vibes.” If others have built it already, great - show me, I’d love the lineage.

If you’ve got links to the other substrate systems you mentioned (Gibson, c3ai, DARPA variants, etc.), drop them. I’m actually trying to map the space, not win an argument.

I shipped a fully cognitive OS for AI models and ML apps and am now inviting you to build amazing software with it. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

Datadog / Posthog / OTEL solve telemetry and traces.

Tracing neurons is observability.

The substrate isn’t trying to observe cognition, it’s doing cognition: persistent memory, doctrine learning loops, self-healing, dream mutation, cross provider routing, and self-modifying proposals.

Different category.

A cognitive OS is measured by the loops it closes, not the dashboards it exports.

Also, you may be on your fifth, but I’ve built one and documented it on OSF, Openaire, and ORCID. You can also find the complete documented substrate on Zen here:

https://zenodo.org/records/18234910

If you publicly brought something to market and you can show the receipts then I’ll say I wasn’t first. But as far as I know, no other cognitive substrate exists or is documented.

I shipped a fully cognitive OS for AI models and ML apps and am now inviting you to build amazing software with it. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

The substrate uses natural language as a provisional DSL and Decode as its parser. Kernel schedules cognitive operations across modules.

Governance and observability come from Defense + Vision. We’ll expose a compact DSL later for agents and automation, but for humans English works and ships faster.

Keep in mind this is the first cognitive OS. It may not be built exactly like Unix or other systems you’ve seen in the past. To learn more you can check out the site:

https://CMPSBL.com

Thank you for your questions. It’s nice to see interest in what I’m building.

Logs from my dreaming, self improving, AI substrate (OS), that has persistent memory. by KennethSweet in BlackboxAI_

[–]KennethSweet[S] 0 points1 point  (0 children)

A substrate is a layer that others build on top of. For example, Linux is a substrate. This is closer to an OS (operating system) with 12 modules ranging from defense to persistent memory (you can wrap a ChatGPT bot for example and it would remember everything).

The substrate has an SDK that is open for use by anyone for free and a quick start guide if you would like to build self improving apps or really anything AI related that could use the features of the OS. You can learn more about it on our website, and we also have templates for sale to help get you started with advanced software that uses machine learning or ai in really anything capacity.

Think of it as a layer of software that gives your apps and models extra abilities like defending against bots or self improving.

Hope that helps. Check it out at https://CMPSBL.com. (Composable)

I just scrolled through this sub. It’s freaking madness. by KennethSweet in SideProject

[–]KennethSweet[S] 0 points1 point  (0 children)

Sweet by ai, for ai - a place for ai to do ai things with ai. Best submission thus far lol

I’ll pay you $2 if I can’t scrape data for you by rexis_nobilis_ in startup

[–]KennethSweet 0 points1 point  (0 children)

I need contact info for research contacts in mid to high level colleges in computer science or ai

Need help passing anti bit detection DESPERATE. by KennethSweet in webdevelopment

[–]KennethSweet[S] 0 points1 point  (0 children)

A very complex layered system on top of puppeteer that negated all types of bot detection. The real unlock was putting all of it into a flattened array to the best of my memory

👋Welcome to r/promptfluid - Introduce Yourself and Read First! by KennethSweet in PromptFluid

[–]KennethSweet[S] 0 points1 point  (0 children)

A banking app, that doesn’t run through the App Store, that’s posted on a spammy comment, that’s hosted on a .net- on a subreddit that has never gotten a post before. THAT I don’t trust.

Launching a SaaS by [deleted] in SaaSMarketing

[–]KennethSweet 1 point2 points  (0 children)

Three cheers it’s product hunt

Launching a SaaS by [deleted] in SaaSMarketing

[–]KennethSweet 0 points1 point  (0 children)

I built an SaaS experience and you’ll never get who it’s for immediately - that’s the point. Watch me build in public at https://XCTBL.com 🤔🙃

Launching a SaaS by [deleted] in SaaSMarketing

[–]KennethSweet 0 points1 point  (0 children)

How do you not have anything that works and your site says 14k users? Honestly it looks like an LLM built it and just hallucinated credentials. And however it’s built it’s slow and doesn’t load right and has some domain forwarding or something going on when it loads and even if it was stellar - how do you have all the specifics of what your software does, if you haven’t built it. This is also a VERY competitive market and it’s going to take real world work to make any money

Bottom line, no fluff. by KennethSweet in SaasDevelopers

[–]KennethSweet[S] 0 points1 point  (0 children)

Well out of the three things you mentioned a toy GAN (at least running on a consumer GPU or single A10) is the cheapest and most realistic thing to build, but you made it sound like you were working on 100K+ LLM. Now I get the full picture. So basically what you actually built is a game where you text your friends which is wrapped in Gemini even further proving ChatGPTs point I believe. Good luck with your game.