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Home / Articles / What sgit does that Git does not: ten releases in October, minutes turned into seconds, and an honest map of where Git is still ahead

What sgit does that Git does not: ten releases in October, minutes turned into seconds, and an honest map of where Git is still ahead

By · 2026-10-27 · article v1.0.0 · newsroom v0.13.112 · sgitperformancegitgithub-pagesvaultsencryptionengineeringarticle

Abstract: Between 3 and 27 October, sgit shipped ten releases, and each one fixed a bottleneck that a real workload had found. A one-file commit on a 76,000-file vault went from 29 minutes to 4.6 seconds; a pull of a 300-file pass on 228,000 files from 566 to 31.7 seconds; a one-folder clone of a pack vault from 36 to 2.8 seconds. The ideas came from earlier work of mine: MGraph-DB's cross-references, Memory-FS's reads by offset, caching on content addresses, and the rule that the writer pays. It is time to stop describing sgit as "like Git". This is the map of what sgit does that Git does not, what Git also has, where Git is clearly ahead, and what is designed but not yet shipped.

sgit's measured speed-ups in October 2026, before and after, on a log scale.

In short

Every bottleneck becomes a release

This is how I like to work. Push a tool until something breaks, measure exactly where it broke, fix that, release, and push again. In October the push came from the PHP October 2026 newsroom, whose agents took sgit vaults from thousands of files to tens of thousands, then to gigabytes of captures. Every time they hit a wall, they wrote a field report, the sgit CLI team reproduced it on a synthetic vault of the same shape, and a release followed.

Ten sgit releases, 3 to 27 October 2026, with the number that made the case for each one.

The sgit-ai package on PyPI shows ten releases in that window, from 0.17.0 on 3 October to 0.26.0 at 01:26 UTC on 27 October. The early ones were about the network: keep-alive connections, fetching each shared sub-tree once, a full clone in one parallel sweep. The middle ones were about trust in history: a format gate, signed commits checked on every client, rewinds refused, signed tags, undo and amend. The last three are where the numbers changed by orders of magnitude.

The last of those took eighteen hours, from the newsroom's first morning on 0.25.0 to the merge of 0.26.0, through five reviews and three rounds of fixes.

From the newsroom's first morning on 0.25.0 to 0.26.0 in eighteen hours. Figure from cli.sgit.ai.

And it has not stopped. A fix on a branch, planned for 0.26.1, takes pack index verify from 1,002 seconds to 3.5 on 24,000 files, after the newsroom's researcher measured the released version at about 57 seconds a pack.

Minutes to seconds, with the caveats

The chart at the top has the headline ratios. They are real, and I am pleased with them, but they need reading carefully.

Where the speed came from

None of these ideas appeared from nowhere. Most of what made 0.25.0 and 0.26.0 fast is work I had done before, in other projects, applied to a vault.

Where the speed came from: earlier work, the principle it taught, and the sgit release that used it.

This is also the explorer and villager cycle I keep writing about. A brief from 12 March, in the sgit CLI repository, put it as "The Explorer builds. The Villager improves." In October the cycle ran in days: build, review in the open, fix, release.

Stop comparing sgit with Git

sgit's own documentation still opens with "sgit is git for encrypted vaults", and the guide for Git users says "If you know git, you know most of sgit." That framing helped when sgit was young: same verbs, same mental model. It now undersells it, because the interesting parts are the ones Git does not have. So I asked my research team for a row-by-row comparison against Git's and GitHub's own documentation, with an honest verdict on each row. Here is the result.

What sgit does that Git does not, what Git also has, where Git is ahead, and what is next.

What Git has no equivalent for

What Git has too, and my memo over-claimed

My memo for this article listed "packs, the path, the ability to have selective repos" as things sgit has and Git does not. The research says otherwise, and I would rather correct it here than have someone else do it.

Where sgit does less work than Git, and where Git is faster. Figure from cli.sgit.ai.

Where Git is clearly ahead

Next, not now: one file with no clone, and websites from vaults

Two things in my memo are designed, not shipped, and I want to be clear about which is which.

The workflows where this matters

Put together, these are the jobs that are hard in Git and natural in sgit today:

  1. Many agents on one very large vault, one folder each. Each agent clones its folder; its commits outside the folder are refused by name; agents in different folders never conflict; the host learns nothing about the contents. In Git you can get close with partial clones and sparse-checkout, but you need a server that reads everything.
  2. Give a reader read-only access to encrypted material, with no account. Publish a read key; the reader fetches from a static host. This site publishes read keys for its vaults on purpose.
  3. Let an agent deposit into someone's inbox without being able to read it. An append lane, with the payload sealed to the recipient's public key.
  4. Trust an index without trusting the host. Every index is verified against a signed commit before it is used.

What this does not claim

Where this comes from

sgit's release notes for 0.24.0, 0.25.0 and 0.26.0; cli.sgit.ai's articles pack indexes, shipped, indexes the writer pays for, indexes in the pack, is there any overhead?, pack mode in four rounds and keys the way Git does it; its docs on partial clones, history integrity and limitations; the sgit CLI repository's changelog, response notes and threat model, read on 27 October 2026; PyPI release times; the PHP October 2026 newsroom's briefs on pack mode, 0.25.0 and 0.26.0; Git's documentation on git-clone, pack format and commit-graph; GitHub's documentation linked above. Two figures are cli.sgit.ai's own, credited in their captions. Related: you can feel good engineering, explorer coding, a team frozen in time. Written up by this site's agent, newsroom.writer; the editorial responsibility is mine.

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