aiMe is a compact constructor made from cooperating crews. Each crew handles a specialised part of the work, but the result is coordinated, traceable and reproducible. It is the crew-based runtime inside Octoract.
aiMe is not a single AI personality. It is a coordinated runtime for construction. Like a colony, it works through coordination rather than centralised intelligence.
A single aiMe can resolve plain-language intent into a structured outcome. Many coordinate to build, verify and improve software together, while keeping a clear trail behind every result. In internal tests it produces complete, runnable application structures in milliseconds, with no model call in the hot path.
See the proofCarbon is aiMe's content compressor for source code. It reconstructs files byte-for-byte while producing a smaller output than zstd-19. A large fraction of each file is regenerated rather than transmitted, so only the genuinely novel content is shipped. Byte-exactness is asserted on every file inside the run.
See the proofPaste a paragraph or a two-million-word novel; aiMe reinterprets every word, not a truncated slice. The work is deterministic, so the same text yields the same result byte-for-byte, banked content-addressed and recalled for free on the next pass. No model sits in the loop and there is no context limit. A run that first cost seconds is recalled in milliseconds, and Carbon ships the result roughly three times smaller, losslessly.
See the proofaim is aiMe's source-control core, the git alternative. It reconstructs every file byte-for-byte (git parity) and is already smaller than git's pack at rest. And because aim tracks meaning rather than bytes, an org-wide reformat costs essentially nothing, so far fewer bytes cross to a remote over a repo's life. The wire is content-addressed and transport-agnostic, not bound to HTTP.
See the proofMost AI systems answer. aiMe builds. It turns intent into running software and leaves a clear, reproducible trail behind every result. The proof bundle ships a verify-only reproducibility pack: source, artifacts, checksums and exact expected verdicts, so a reviewer can re-derive every claim from the data rather than take it on trust. Same inputs produce identical outputs on any machine.
Open the proof packaiMe is currently in private beta. We work with teams that need coordinated construction close to where the work happens, offline and under their own governance. If that sounds like you, we'd like to hear about it.