Supernet AI 🌐 (@Supernet_AI)

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SuperNet is excited to announce that our core context memory technology Atomic Memory is live on GitHub today ⭐

Atomic Strata Verified account @AtomicStrata May 14

We just open-sourced AtomicMemory.

The AI memory industry has a black-box problem.

AtomicMemory is a configurable open-source SDK + self-hosted Core engine for memory your AI can inspect, correct, swap, and run on your own infrastructure.

Apache 2.0. HTTP-first. Docker quickstart.

github.com/atomicstrata
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Supernet AI 🌐 @Supernet_AI Jul 13

The more agents you run, the more memory matters.

With GPT-5.6 Ultra, one task can now split into parallel agent workstreams that stay active across complex projects. That only works when each agent can share decisions and source evidence while keeping corrections tied to current context.

Agent teams need memory that stays inspectable and revisable as the workflow changes.

OpenAI Verified account @OpenAI Jul 9

Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.

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Supernet AI 🌐 @Supernet_AI Jul 9

Self-improving agent loops need real memory discipline.

Each failed run should teach the system something useful for the next attempt, while corrections and review notes keep the workflow improving without flooding the agent’s context.

If your agent cannot remember cleanly, can it really improve?

Supernet AI 🌐 @Supernet_AI Jul 6

The teams adopting MCP at scale are discovering that tool access is easy but tool governance is hard.

Opening up every tool in the stack to your agent is a connectivity win but a governance risk. The missing layer is not access, it is audit: knowing which tools an agent reached for, what it remembered from each interaction, and which actions needed approval before execution. MCP is the pipe but you still need the guardrails.

Access and audit are two different problems that get solved at different layers with @AtomicStrata

Supernet AI 🌐 @Supernet_AI Jul 2

Palantir warned that transferring your data may transfer your leverage.

This is why knowing who has access to your data in the first place matters. Most organizations hand their data to their AI systems and then lose visibility into where that data goes. They cannot tell which parts of their data the AI used or who else saw it. Data sovereignty needs a tracking layer that records every access and makes that history visible to you. Without that visibility, you cannot get data sovereignty.

Palantir @PalantirTech Jul 1

Our thoughts on the importance of AI sovereignty.

1. Your AI sovereignty dictates your institution’s future. Sovereignty is the precondition for choice. Relinquishing sovereignty transfers the future choices of your institution to others, who are likely to exploit it for their gain and your loss.

2. Data retention is your treasure. Transfer it at your own peril. Your ability to win is dictated by your ability to recognize and use your unique edges, and you keep winning by compounding the underlying data to generate new insights. Transferring that data hands over access to your pre-existing winning plays and yields the means of production for new ones.

3. Tokenmaxxing hijacks your value orientation and decreases your institutional fortitude and intelligence. The pursuit of high token usage incentivizes disposable scripts over robust software — with the addictive feeling of false progress. There is a reason why those selling tokens refuse to charge based on value.

4. Controlling your weights is controlling your fate. Weights are the distilled form of hard-won, accumulated institutional knowledge. If you let others control your weights, you are allowing them to migrate the alpha of your business to theirs.

5. There is no contradiction between sovereignty and alpha. The architecture that maximally preserves sovereignty is one that enables institutions to own their tribal knowledge, and to compound it as alpha.

6. Politicizing the technical issues involving sovereignty is what your adversary wants. Techno-politicization is the wellspring of false sovereignty. Techno-politicization drives decisions that seem to reduce dependency, but ultimately limit agency — especially on the battlefield in the West.

7. Real expertise is existential. Allowing politics or favoritism to determine your technical decisions rewards whoever is best at politics, not whoever is right. Listen to those closest to the problems, not those speaking most compellingly about them.

8. Learn from institutions that are winning or that have consistently delivered. Institutions facing existential threats do not have the luxury of making technical decisions based on political preferences.

9. Only listen to institutions, countries, and people who have a proven record of being right. A track record of correctness is the best and only signal for future correctness. Judging something as right or wrong based on who you like is exceedingly misguided.
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