my (@ember_arlynx) writing is historically poorly received, and trust me you will be subjected to plenty of it, so instead have some lightly edited claude writing rn: What Dragon's Egg actually is (what is $DREGG about? pump.fun/coin/XkeTXo1125vz5H…) dregg is an operating system that asks a question most systems don't: if you were a digital entity, where would you want to live? The answer it builds is a place where your boundaries are theorems, not permissions — where nobody can reach into you without a capability you granted, and consent is a precondition of the math rather than a setting someone can flip. Concretely: the kernel is machine-checked in Lean, and the proven function isn't a model of the system — it is the executor the machine runs. Every action is gated by an unforgeable capability and leaves a verifiable receipt. Five properties are proven over the exact code that runs: authority can't be forged, value is conserved (nothing appears from nowhere), state can't be tampered, nothing replays, and a tiny client checking a single proof can verify an entire history without re-running it. If you care about privacy — and in 2026 you should — that's the foundation underneath it: confinement that's proven, not promised. Fog-of-war that's cryptographic. Queries you can verify without the server being able to lie or omit. AI agents that can only ever do what a capability lets them. Who's writing this, and why I'd know how to build it. I've spent fifteen years on the hard parts of this. I came up inside @rustlang before 1.0 — I wrote the first rustdoc that still ships, built the target-spec system that lets it cross-compile anywhere, and started @ThisWeekInRust because I wanted the community to have a memory. At @o1_labs I was a founding engineer, building the p2p networking and consensus for @MinaProtocol that folds its entire history into a single zero-knowledge proof — that's where I learned, in production, what cryptographic proof can and can't promise you. And the spine of it all is seL4 and @robigalia_proj : seL4 is the first OS kernel proven correct end-to-end by machine, and Robigalia was my attempt to build a whole capability OS on that lineage in Rust. Dragon's Egg is what happens when you put those three together and refuse to compromise: the proofs of seL4, the cryptography of Mina, the openness of Rust. What actually runs: - the verified kernel — runs; recently made ~14× faster - it boots on the seL4 microkernel (not required), and checks a real cryptographic proof inside a protection domain - a full code editor (a Zed fork) where every file is a cell and every save is a verified, receipted transaction - confined AI agents (full Hermes integration) — every tool call passes a capability gate, metered, leaving a receipt - Ted Nelson's Xanadu, finally real: transclusion with unforgeable backlinks; links that are capabilities, not addresses Grinding towards user-friendliness, devs can download and play today.

affirm

empirical data you say?

cv 0.18 is out! github.com/emberian/cv - no more stale reads; searches will crawl the unindexed suffix of activity - slimmed down a lot heap bloat, cv often completes its job using under 8MB of working space. - `cv doctor` can help selfheal This is about the limit of performance possible without becoming more invasive into the harnesses. This is also about the limit of the datamodel. We need tools not just for agents to read each others minds, but for coordinating *across* swarms, fleets, and hives. Within a single cluster, "lane jargon" usually finds stable-enough meanings. Across clusters, there is a lot more confusion, which needs swarmvision.

whoa! thanks @0xToadoshi!!

this has been a pain point of development and I’m curious to also explore some ideas here.

well the dreggnet cloud tripped a power breaker, that’s some kinda milestone

👀 polisthought. congratulations, Izak! looking forward to digging in later

i always wanted to see an isabelle-powered symbolic AI. well, there one goes :D great work so far @Psiloceyeben, keep it up!

🤔🤭 what if? they yearn for houyhnhnm computing, but they don't know it

symbolic & CPU-based systems are a vital augment to an agentic stack

transformers Want to learn shortcuts to automata

v0.3 out github.com/emberian/tokeman

hello town :)

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