What AI OS grew into: our own system map, rebuilt from the repository
We rebuilt our internal system map from the repository instead of from memory, and published the counts: every number below is produced by a deterministic pass over our own files, with the artifact and its capture date named. The map itself stays internal — what we publish is what can be counted.
We rebuilt our internal system map from the repository instead of from memory, and published the counts: every number below is produced by a deterministic pass over our own files, with the artifact and its capture date named. The map itself stays internal — what we publish is what can be counted.
क्या बदला
Our own system map was last rebuilt on 2026-04-29 and held 29 nodes. Rebuilt from the repository on 2026-09-23 it holds 249 nodes and 601 links: 96 top-level packages, 79 decision records and 74 runtime databases. That is 220 more nodes than the map we were still showing. — evidence: ev-canon-brain-growth
The codebase grew from 344 Python files in April 2026 to 1220 — 876 new files. Decision records went from 20 to 81 (61 new), and configuration files from 117 to 164 (47 new). — evidence: ev-canon-brain-growth
Alongside the code there are 644 test files, 94 written specifications and 1616 commits since the first one on 2026-04-22. Two of the services are Go: 802 files in the public portal and 111 in the trading service. — evidence: ev-canon-brain-growth
How it is counted
The map is rebuilt by counting the repository itself: a node is a top-level package, a decision record or a database file with at least one table, and a link is an import parsed from the code. The same tree produces the same content hash 35c2d44e29dfe3d1, so a reader can tell a rebuild from a rewrite. — evidence: ev-canon-brain-growth
No model and no network took part in building this map. The counts come from a deterministic pass over our own files, which is the only reason we are willing to print them. (interpretation) — evidence: ev-canon-brain-growth
What this does not say
Two limits are worth stating. First, we publish aggregates: the module graph itself stays internal, because a public blueprint of a running system is an invitation. Second, file counts measure surface, not quality — a repository can grow a hundred modules and still fail its own acceptance criteria. (interpretation) — evidence: ev-canon-brain-growth
The growth numbers describe this repository only. They say nothing about revenue, users or the performance of any strategy, and we do not present them as a track record. (interpretation) — evidence: ev-canon-brain-growth