Code Storage for Ghost

Original chat: Evaluate code.storage for Ghost
Conversation ID: 01a1aa45-e127-7261-9a98-8a33077c52f9
Provider/app: OpenAI / Codex Desktop
Date: November 4, 2026 (America/Los_Angeles)
Exported: 2026-11-04T22:10:09.603867-08:00
Source: Original message records in the local Codex session JSONL (rollout-2026-11-04T21-54-28-01a1aa45-e127-7261-9a98-8a33077c52f9.jsonl). Original chat title and message coverage checked through the Codex thread tool.
Coverage: All 9 user and visible assistant messages (3 user, 6 assistant), from the opening Code Storage question through the save-chat progress update. Includes the user's “save chat” request; excludes the eventual save confirmation.
Last included message: msg_06b4ba1d6b1ee4fa016aec1d9525a887d1a6bbf9eefa9aee42, at 2026-11-04T22:09:25.539000-08:00: “I’ll use Ghost’s save-chat skill to preserve this conversation.”

π: Original message text, spelling, Markdown, whitespace, links, and order are preserved. Timestamps come from session record envelopes. Injected repository/environment and app context, system/developer instructions, internal reasoning, and tool calls/results are excluded. No missing message coverage was detected within this cutoff. No attachments were present.

π: Assistant messages are associated with the preceding turn_context in the session record. Model fields preserve turn_context.model as a configured label; confirmed generating backend versions/snapshots are not exposed. Provider openai comes from session_meta.model_provider. Source message IDs below come from the JSONL, which uses different IDs from the thread tool for user messages.

π: This is a historical record. Exploratory proposals may be superseded and are not necessarily endorsed decisions. Saving does not publish the conversation.

01. User

2026-11-04T21:55:06.549000-08:00 (America/Los_Angeles)

Source message: msg_01a1aa46-74b5-7b82-b829-a1d5010028f2; JSONL line 12

check out https://code.storage/ - i think this may be better than using github / cloudflare thign that we have going on. something about this just feels like the data model is simpler and everything is just treated the same way and we just pay for how much storage we use, p cool. see if we can use this for ghost/

02. Assistant

2026-11-04T21:55:09.716000-08:00 (America/Los_Angeles)

Model (configured): gpt-6-astra
Exact generating version: unavailable (not exposed by source)
Provider: OpenAI
Model source: turn_context.model; turn 01a1aa46-72d9-7681-b68d-32d14fa55980
Source message: msg_06b4ba1d6b1ee4fa016aec1a3c88bc87d19155b7c05b7f4af3; JSONL line 15

I’ll look at how Code Storage works and compare it with Ghost’s current GitHub and Cloudflare setup, especially the data model, costs, and what a move would involve.

03. Assistant

2026-11-04T21:55:39.658000-08:00 (America/Los_Angeles)

The appeal makes sense: Code Storage could give Ghost one versioned home for writing, code, and media. There’s a pricing catch, though: it has a $20 monthly minimum, charges for transfers, and prices active storage much higher than R2. I’m checking how large media files fit into that model.

04. Assistant

2026-11-04T21:56:38.495000-08:00 (America/Los_Angeles)

Ghost currently has about 2.6 GB of local media, mostly video. Code Storage supports those files through Git LFS, so it could replace our custom R2 upload-and-restore code. It still uses separate storage for large-file bytes underneath.

The cleanest setup would be a private Ghost repository there, with the selected website content still deployed to Vercel. I also found that its GitHub sync forwards writes to GitHub, so we wouldn’t use that on a repository containing private media.

05. Assistant

2026-11-04T21:57:23.791000-08:00 (America/Los_Angeles)

Yes—we could use Code Storage for Ghost, and the simpler model you’re noticing is real. I’d consider a small trial, with pricing clarified before moving the archive.

Ghost already treats writing, chats, events, skills, and code as files. Code Storage would give those files a shared version history and APIs that agents can use directly, without always cloning the repository. That fits Ghost’s architecture well. Documentation

I checked our current setup: public source on GitHub, private media in R2, and the website on Vercel. Code Storage could consolidate the first two.

The setup I’d choose would be:

One private Ghost repository containing the collection, including media.
Git LFS for large files, replacing our custom R2 manifest/upload/restore machinery.
Vercel continues serving the selected public website. Storage and website hosting remain separate.

There is still a distinction underneath: LFS puts small pointers in Git and stores the actual media separately. Code Storage manages both through the same remote and authentication, which simplifies our workflow. Its documented single-file limit is 5 GiB; Ghost’s largest current asset is about 947 MB, so our existing files fit. LFS documentation

The pricing is the main catch. It’s usage-based, but includes a minimum and transfer charges:

Charge	Code Storage
Minimum monthly bill	$20, credited toward usage
Hot storage	$3.60/GB per 30 days
Cold storage	$0.144/GB per 30 days
Uploads	$0.06/GB
Downloads	$0.15/GB

Those monthly storage figures are calculated from its hourly rates. Cold storage applies after more than seven days without activity. Pricing

For comparison, R2 Standard is $0.015/GB-month, with 10 GB-month free and free egress. Ghost currently has about 2.6 GB of local media, mostly video, which fits within that storage allowance if other account usage hasn’t consumed it. R2 pricing

Two details need clarification before choosing it for a growing media archive: how LFS bytes are billed, and whether regularly accessing Ghost keeps the entire repository’s storage hot. The docs describe repository-level thawing; we shouldn’t assume an untouched video stays cold while we edit nearby notes. At the published hot rate, 100 GB would cost $360/month before transfers. Storage behavior

One migration detail matters: we’d use a native private repository, without linking the full collection to our public GitHub repo. Its GitHub App sync forwards normal writes to GitHub, including LFS uploads. Sync behavior

My recommendation is to test a representative note, image, and video through upload, edit, fresh clone, and restoration, then inspect the metered usage. If the billing works for us, this could remove a meaningful amount of custom publishing code. The assessment supports trying it; a live migration and restore test still remain.

06. User

2026-11-04T22:04:04.068000-08:00 (America/Los_Angeles)

Source message: msg_01a1aa4e-a863-77d3-982f-ae7ca5167863; JSONL line 96

i see. so it looks like what we have is actually significantly more cost effectient

07. Assistant

2026-11-04T22:04:24.100000-08:00 (America/Los_Angeles)

Model (configured): gpt-6-astra
Exact generating version: unavailable (not exposed by source)
Provider: OpenAI
Model source: turn_context.model; turn 01a1aa4e-a78f-7250-8878-3908c19b1742
Source message: msg_06b4ba1d6b1ee4fa016aec1c649b5c87d18db26bab39aa95ea; JSONL line 101

Yes—our current setup is significantly cheaper, especially for video and other large media.

Ghost’s roughly 2.6 GB fits within R2’s 10 GB free storage allowance, assuming other account usage hasn’t consumed it. Code Storage starts at $20/month, with additional costs as usage grows.

Its appeal is the integrated workflow and agent APIs. For Ghost today, I’d keep GitHub + R2 and make our tooling hide the complexity so it still feels like one collection.

08. User

2026-11-04T22:09:22.777000-08:00 (America/Los_Angeles)

Source message: msg_01a1aa53-8559-71c0-b970-7de8f4766aa5; JSONL line 109

save chat

09. Assistant

2026-11-04T22:09:25.539000-08:00 (America/Los_Angeles)

Model (configured): gpt-6-astra
Exact generating version: unavailable (not exposed by source)
Provider: OpenAI
Model source: turn_context.model; turn 01a1aa53-851d-7270-99cc-f7bd438f9404
Source message: msg_06b4ba1d6b1ee4fa016aec1d9525a887d1a6bbf9eefa9aee42; JSONL line 112

I’ll use Ghost’s save-chat skill to preserve this conversation.