Obsidian works with AI. Your AI chats aren't in it
Your vault already works with AI because it’s a folder of plain Markdown. As one commenter on the Show HN thread for OpenKnowledge, an AI-first Obsidian alternative, put it: “I don’t understand how Obsidian, a collection of markdown files, isn’t already AI friendly.”
The part that doesn’t work yet is the other direction. A lot of your thinking now happens in ChatGPT, Claude or Grok, and those chats stay in those apps. One r/ObsidianMD poster, already building their vault with Claude Cowork, asked:
“How do y’all get your ChatGPT/Claude/Gemini/Perplexity chats into Obsidian without manually downloading everything?” (r/ObsidianMD)
Short answer: letting AI read your vault takes one of the setups below. Getting your chats in takes a decision (raw chats, summaries or both) and a method that doesn’t rely on you remembering.
Letting AI read your Obsidian vault
There’s nothing to build. Anything that reads files can read Markdown. The current options, lightest first:
| Setup | What it needs | Good for |
|---|---|---|
| Run Claude Code or Codex in the vault folder | Nothing in Obsidian | Questions across your notes, drafting new ones |
| Filesystem MCP server | An MCP client such as Claude Desktop | A chat app reading and writing files in folders you allow |
| mcp-obsidian or obsidian-mcp-server | The Local REST API plugin and its API key | Search, appends and frontmatter edits through Obsidian |
| Obsidian CLI | Obsidian 1.12.7 or later, with the app running | Scripts and agents that drive Obsidian itself |
| Copilot for Obsidian or Smart Connections | A community plugin. Copilot needs a local model, an API key or its paid plan | Chat inside Obsidian (Copilot), related notes and semantic search on a local model (Smart Connections) |
If you go the Claude Code route, add kepano’s obsidian-skills. They teach Claude Code, Codex and OpenCode to write Obsidian-flavored Markdown, Bases and Canvas files.
Pick the lightest one that fits. None of them knows what you said in ChatGPT last Tuesday, though.
The missing half: your ChatGPT, Claude and Grok chats
People who try to close this gap run into the same three things:
- Doing it by hand doesn’t last. The poster above was downloading each chat or copy-pasting, “and that is not sustainable long term.”
- Most tools cover one app. After a look through the Chrome Web Store, another poster found “pretty much everything is built for a single platform.”
- Saved copies go stale. If you go back to a chat and keep going, one reply in that thread noted, “you need to remember to update them one by one.”
An AI with vault access doesn’t fix this by itself. Claude Code in your vault writes what you ask for in that session. The chat you had on chatgpt.com or claude.ai last week isn’t part of it, and each app’s memory only knows that app’s chats.
Raw chats or summaries?
Decide this before you pick a tool. Plenty of Obsidian users don’t want the raw chat at all:
“I don’t think that a full AI conversation should go into an Obsidian vault.” (r/ObsidianMD)
Their habit is to ask the AI for a Markdown summary at the end and keep only that. It’s a good habit, and they’re right that you’ll rarely reread a long transcript.
There’s still a case for keeping the raw chat too. A summary keeps the conclusion and drops the details: the exact command, the number, the option you ruled out and why. You can only summarize a chat you still have. And once the raw chats are in the vault, the agent from the first section can write the summary from the actual text and link back to it.
Keep both, in different places. Raw chats go in one folder you rarely open. Your own notes live everywhere else and link to a chat by its title when it matters.
Ways to get AI chats into Obsidian
| Method | Effort | Covers | Catch |
|---|---|---|---|
| Ask for a Markdown summary and paste it | Every chat, by hand | Any AI | Only what you remember to save |
| Obsidian Web Clipper | One click per chat | Any web page | Clip again when the chat grows |
| Each app’s data export plus Nexus AI Chat Importer | Request exports, wait, import the ZIP | ChatGPT, Claude, Grok, Perplexity, Mistral Vibe | A snapshot. Re-importing a newer export adds the new messages |
| Carry | Set up once | ChatGPT, Claude, Grok | Chromium browsers only. Grok is manual. Paid after a 14-day trial |
If you only use one app, the guides to saving Claude conversations to Obsidian, exporting Claude chat history and saving ChatGPT conversations go deeper on each one’s options.
Where Carry fits
Carry is a browser extension that saves each ChatGPT, Claude and Grok chat as its own Markdown file in a folder you pick, under carry-backup/. Point it at your vault. ChatGPT and Claude save on their own every couple of hours while the browser is open. Grok is manual. A chat you keep going is updated in the same file, not saved twice.
Carry reads each chat through the app’s own internal API rather than the page, so code and tables come through as Markdown. Math from Claude and Grok does too; ChatGPT’s keeps its own delimiters, which Obsidian shows as raw TeX.
It doesn’t summarize chats, write notes for you or give AI access to your vault. That’s the job of the tools in the first section, which read these files like any other notes.
Pick your folder
Connect providers
Then it’s automatic
Here’s a sample of the folder it writes, with real Carry output for a few made-up chats:
- carry-backup
- chatgpt
- 2026-09-16-q3-orders-by-region.md17 Sep
- 2026-10-03-heat-pumps-in-cold-climates.md3 Oct
- files
- q3_orders_by_region.csv17 Sep
- claude
- 2026-09-07-pomodoro-timer-page.md7 Sep
- files
- Pomodoro timer.html7 Sep
- projects
- Thesis researchproject
- 2026-10-03-chapter-2-reading-plan.md3 Oct
- files
- district-heat-map.png3 Oct
- interview-notes.md3 Oct
- instructions.md3 Oct
- Thesis research.md3 Oct
- grok
- 2026-07-26-kyoto-in-late-november.md26 Jul
- 2026-09-29-hiking-newsletter-names.md29 Sep
- 2026-10-06-household-budget-csv.md6 Oct
- files
- household-budget.csv6 Oct
2026-09-16-q3-orders-by-region.md2 KB
A data analysis chat
---
conversation_id: "66e85b2f-1c4a-8003-9d2e-7a41c0f3b9e2"
source: chatgpt
type: conversation
title: "Q3 orders by region"
aliases:
- "Q3 orders by region"
tags:
- capture/chatgpt
created: 2026-09-16T16:20:05
updated: "2026-09-16T16:27:41.318Z"
verified_list_token: "2026-09-16T16:27:41.318Z"
conversation_files_fetched: true
synced: 2026-09-17T10:59:12
url: "https://chatgpt.com/c/66e85b2f-1c4a-8003-9d2e-7a41c0f3b9e2"
capture_gaps:
- files
parser_id: "p2:4bd144f59343bd06b194526eef21531d88abef0279ddf7066cdfb5429f11b8b3:chatgpt-format=2,claude-format=4,grok-format=2,message-order=2,tool-output=5"
message_count: 4
capture_version: 2
content_hash: sha256:c89a162b8c5613365e0f1857cbd6a63e47162a1db7e43e6385e9f112cb630ea5
---
**Human**
Our Q3 orders by region, July to September:
North 1240, 1388, 1515
South 980, 1011, 1042
West 1410, 1552, 1688
East 760, 842, 931
Which region grew fastest? Give me a table and a CSV I can open in Sheets.
**Assistant**
East grew fastest in percentage terms, just ahead of North. West added the most orders overall.
| Region | July | September | Change |
| --- | ---: | ---: | ---: |
| East | 760 | 931 | +22.5% |
| North | 1,240 | 1,515 | +22.2% |
| West | 1,410 | 1,688 | +19.7% |
| South | 980 | 1,042 | +6.3% |
To recompute the change column yourself:
```python
import pandas as pd
df = pd.read_csv("q3_orders_by_region.csv")
df["change"] = df["september"] / df["july"] - 1
print(df.sort_values("change", ascending=False))
```
[Download the CSV](files/q3_orders_by_region.csv)
**Human**
Can you chart it too? A simple bar chart is fine.
**Assistant**
Here it is: July and September side by side for each region.
[Download the chart](sandbox:/mnt/data/q3_orders_chart.png)
> [!missing] File: q3\_orders\_chart.png — file could not be downloaded- title
- Q3 orders by region
- tags
- capture/chatgpt
- created
- 2026-09-16T16:20:05
- url
- Open in ChatGPT
+13 more fieldsHide 13 fields
- conversation_
id - 66e85b2f-1c4a-8003-9d2e-7a41c0f3b9e2
- source
- chatgpt
- type
- conversation
- aliases
- Q3 orders by region
- updated
- 2026-09-16T16:27:41.318Z
- verified_
list_ token - 2026-09-16T16:27:41.318Z
- conversation_
files_ fetched - true
- synced
- 2026-09-17T10:59:12
- capture_
gaps - files
- parser_
id - p2:4bd144f59343bd06b194526eef21531d88abef0279ddf7066cdfb5429f11b8b3:chatgpt-format=2,claude-format=4,grok-format=2,message-order=2,tool-output=5
- message_
count - 4
- capture_
version - 2
- content_
hash - sha256:c89a162b8c5613365e0f1857cbd6a63e47162a1db7e43e6385e9f112cb630ea5
Human
Our Q3 orders by region, July to September:
North 1240, 1388, 1515
South 980, 1011, 1042
West 1410, 1552, 1688
East 760, 842, 931
Which region grew fastest? Give me a table and a CSV I can open in Sheets.
Assistant
East grew fastest in percentage terms, just ahead of North. West added the most orders overall.
| Region | July | September | Change |
|---|---|---|---|
| East | 760 | 931 | +22.5% |
| North | 1,240 | 1,515 | +22.2% |
| West | 1,410 | 1,688 | +19.7% |
| South | 980 | 1,042 | +6.3% |
To recompute the change column yourself:
import pandas as pd
df = pd.read_csv("q3_orders_by_region.csv")
df["change"] = df["september"] / df["july"] - 1
print(df.sort_values("change", ascending=False))
Human
Can you chart it too? A simple bar chart is fine.
Assistant
Here it is: July and September side by side for each region.
Download the chart
File: q3_orders_chart.png — file could not be downloaded
2026-10-03-heat-pumps-in-cold-climates.md3 KB
A Deep Research report, saved inside its chat
---
conversation_id: "670e3a91-5c2d-8001-b4f7-2e9d18c6a053"
source: chatgpt
type: conversation
title: "Heat pumps in cold climates"
aliases:
- "Heat pumps in cold climates"
tags:
- capture/chatgpt
created: 2026-10-03T08:14:22
updated: "2026-10-03T08:31:09.552Z"
verified_list_token: "2026-10-03T08:31:09.552Z"
conversation_files_fetched: true
synced: 2026-10-03T08:47:30
url: "https://chatgpt.com/c/670e3a91-5c2d-8001-b4f7-2e9d18c6a053"
message_count: 2
capture_version: 2
content_hash: sha256:00a623e4dbb58e72633ab7801f12e6cc0b961d4770b8a5568a965f14fb796467
---
**Human**
Research how well air-source heat pumps work in cold climates. Compare efficiency below freezing, running costs against a gas boiler, and what installers recommend for older houses.
**Assistant**
# Air-source heat pumps in cold climates
## Summary
Cold-climate heat pumps keep heating well below freezing, but they get less efficient as it gets colder. Whether one costs less to run than a gas boiler depends mostly on local electricity and gas prices, and on how well the house holds heat.
## How efficiency changes with temperature
Efficiency is measured as the coefficient of performance (COP): units of heat delivered for each unit of electricity used.
| Outdoor temperature | Cold-climate model | Standard model |
| --- | --- | --- |
| 7 °C | 3.5–4.5 | 3–4 |
| −8 °C | 2.3–3 | 1.8–2.5 |
| −15 °C | 1.8–2.5 | 1.3–2 |
| −25 °C | 1.3–1.8 | Often switches to backup heat |
Even at a COP of 1.5, a heat pump gives more heat per kilowatt-hour than a plain electric heater, which has a COP of 1.
## Running costs against a gas boiler
Divide the electricity price by the seasonal COP, and the gas price by the boiler's efficiency (about 0.9 for a modern condensing boiler). The lower number is the cheaper heat.
- **Electricity at 0.30 per kWh, seasonal COP of 3:** 0.10 per kWh of heat.
- **Gas at 0.08 per kWh, boiler 90% efficient:** about 0.09 per kWh of heat.
At these prices the two are close. Better insulation or a time-of-use tariff tips the balance toward the heat pump.
## What installers recommend for older houses
1. **Do a room-by-room heat loss calculation** before sizing the unit. An oversized unit cycles on and off and loses efficiency.
2. **Check radiator sizes.** Heat pumps work best at lower flow temperatures (35–50 °C), so some rooms may need larger radiators.
3. **Fix the cheap insulation first:** loft insulation, draught-proofing and pipe lagging.
4. **Plan for a hot water cylinder.** Most heat pump systems need one.
## What to ask an installer
- A seasonal efficiency estimate for your climate, not just the rated COP at 7 °C.
- How often the backup heater is expected to run in the coldest weeks.
- Whether the quote includes radiator upgrades and controls.- title
- Heat pumps in cold climates
- tags
- capture/chatgpt
- created
- 2026-10-03T08:14:22
- url
- Open in ChatGPT
+11 more fieldsHide 11 fields
- conversation_
id - 670e3a91-5c2d-8001-b4f7-2e9d18c6a053
- source
- chatgpt
- type
- conversation
- aliases
- Heat pumps in cold climates
- updated
- 2026-10-03T08:31:09.552Z
- verified_
list_ token - 2026-10-03T08:31:09.552Z
- conversation_
files_ fetched - true
- synced
- 2026-10-03T08:47:30
- message_
count - 2
- capture_
version - 2
- content_
hash - sha256:00a623e4dbb58e72633ab7801f12e6cc0b961d4770b8a5568a965f14fb796467
Human
Research how well air-source heat pumps work in cold climates. Compare efficiency below freezing, running costs against a gas boiler, and what installers recommend for older houses.
Assistant
Air-source heat pumps in cold climates
Summary
Cold-climate heat pumps keep heating well below freezing, but they get less efficient as it gets colder. Whether one costs less to run than a gas boiler depends mostly on local electricity and gas prices, and on how well the house holds heat.
How efficiency changes with temperature
Efficiency is measured as the coefficient of performance (COP): units of heat delivered for each unit of electricity used.
| Outdoor temperature | Cold-climate model | Standard model |
|---|---|---|
| 7 °C | 3.5–4.5 | 3–4 |
| −8 °C | 2.3–3 | 1.8–2.5 |
| −15 °C | 1.8–2.5 | 1.3–2 |
| −25 °C | 1.3–1.8 | Often switches to backup heat |
Even at a COP of 1.5, a heat pump gives more heat per kilowatt-hour than a plain electric heater, which has a COP of 1.
Running costs against a gas boiler
Divide the electricity price by the seasonal COP, and the gas price by the boiler's efficiency (about 0.9 for a modern condensing boiler). The lower number is the cheaper heat.
- Electricity at 0.30 per kWh, seasonal COP of 3: 0.10 per kWh of heat.
- Gas at 0.08 per kWh, boiler 90% efficient: about 0.09 per kWh of heat.
At these prices the two are close. Better insulation or a time-of-use tariff tips the balance toward the heat pump.
What installers recommend for older houses
- Do a room-by-room heat loss calculation before sizing the unit. An oversized unit cycles on and off and loses efficiency.
- Check radiator sizes. Heat pumps work best at lower flow temperatures (35–50 °C), so some rooms may need larger radiators.
- Fix the cheap insulation first: loft insulation, draught-proofing and pipe lagging.
- Plan for a hot water cylinder. Most heat pump systems need one.
What to ask an installer
- A seasonal efficiency estimate for your climate, not just the rated COP at 7 °C.
- How often the backup heater is expected to run in the coldest weeks.
- Whether the quote includes radiator upgrades and controls.
q3_orders_by_region.csv149 bytes
The CSV ChatGPT made, saved as the original file
| region | july | august | september | change_jul_to_sep |
|---|---|---|---|---|
| North | 1240 | 1388 | 1515 | 0.222 |
| South | 980 | 1011 | 1042 | 0.063 |
| West | 1410 | 1552 | 1688 | 0.197 |
| East | 760 | 842 | 931 | 0.225 |
2026-09-07-pomodoro-timer-page.md1 KB
A chat with an artifact
---
conversation_id: "3f6a9c2e-8b14-4d7a-9e05-6c1b2d4f8a13"
source: claude
type: conversation
title: "Pomodoro timer page"
aliases:
- "Pomodoro timer page"
tags:
- capture/claude
created: 2026-09-07T13:02:18
updated: "2026-09-07T13:09:44.617Z"
verified_list_token: "2026-09-07T13:09:44.617Z"
conversation_files_fetched: true
synced: 2026-09-07T13:30:05
url: "https://claude.ai/chat/3f6a9c2e-8b14-4d7a-9e05-6c1b2d4f8a13"
documents:
- "Pomodoro timer"
message_count: 4
capture_version: 2
content_hash: sha256:fe6ae9c9c99d81890177ba2d7dc46718cee5e2ec0a6fb7eb33d14d2b4592ccc8
---
**Human**
Make me a simple pomodoro timer I can open in a browser. 25 minutes of focus, 5 minutes of break, and one start/pause button.
**Assistant**
> [!note]- Thought for 6s
> Planning a single-file page with a countdown and one button
Here is a single-file timer page. It counts down 25 minutes of focus, then a 5-minute break, and the tab title shows the time left so you can see it from another tab.
Open it in any browser. Press Space to start or pause.
**Human**
Can it play a sound when the timer ends?
**Assistant**
Yes. It now plays a short beep from the Web Audio API, so there is no sound file to load.
Browsers only allow sound after a click on the page, so the first beep needs one press of Start, which you do anyway.
### 📄 Pomodoro timer
[Pomodoro timer](files/Pomodoro%20timer.html)
<!doctype html>
<html lang="en">
<head>- title
- Pomodoro timer page
- tags
- capture/claude
- created
- 2026-09-07T13:02:18
- url
- Open in Claude
+12 more fieldsHide 12 fields
- conversation_
id - 3f6a9c2e-8b14-4d7a-9e05-6c1b2d4f8a13
- source
- claude
- type
- conversation
- aliases
- Pomodoro timer page
- updated
- 2026-09-07T13:09:44.617Z
- verified_
list_ token - 2026-09-07T13:09:44.617Z
- conversation_
files_ fetched - true
- synced
- 2026-09-07T13:30:05
- documents
- Pomodoro timer
- message_
count - 4
- capture_
version - 2
- content_
hash - sha256:fe6ae9c9c99d81890177ba2d7dc46718cee5e2ec0a6fb7eb33d14d2b4592ccc8
Human
Make me a simple pomodoro timer I can open in a browser. 25 minutes of focus, 5 minutes of break, and one start/pause button.
Assistant
Thought for 6s
Planning a single-file page with a countdown and one button
Here is a single-file timer page. It counts down 25 minutes of focus, then a 5-minute break, and the tab title shows the time left so you can see it from another tab.
Open it in any browser. Press Space to start or pause.
Human
Can it play a sound when the timer ends?
Assistant
Yes. It now plays a short beep from the Web Audio API, so there is no sound file to load.
Browsers only allow sound after a click on the page, so the first beep needs one press of Start, which you do anyway.
📄 Pomodoro timer
<!doctype html> <html lang="en"> <head>
Pomodoro timer.html2 KB
The artifact itself, a page you can open in any browser
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Pomodoro timer</title>
<style>
body { margin: 0; min-height: 100vh; display: grid; place-items: center;
font-family: system-ui, sans-serif; background: #f7f4ee; color: #222; }
main { text-align: center; }
.mode { letter-spacing: 0.08em; text-transform: uppercase; color: #777; }
.time { margin: 0.2em 0; font-size: 5rem; font-variant-numeric: tabular-nums; }
button { font: inherit; padding: 0.6rem 1.6rem; border-radius: 8px;
border: 1px solid #ccc; background: #fff; cursor: pointer; }
</style>
</head>
<body>
<main>
<p class="mode" id="mode">Focus</p>
<p class="time" id="time">25:00</p>
<button id="toggle">Start</button>
</main>
<script>
const FOCUS = 25 * 60;
const BREAK = 5 * 60;
let left = FOCUS;
let onBreak = false;
let tick = null;
const time = document.getElementById('time');
const mode = document.getElementById('mode');
const toggle = document.getElementById('toggle');
function show() {
const m = String(Math.floor(left / 60)).padStart(2, '0');
const s = String(left % 60).padStart(2, '0');
time.textContent = m + ':' + s;
document.title = m + ':' + s + ' · ' + (onBreak ? 'Break' : 'Focus');
}
function beep() {
const audio = new AudioContext();
const tone = audio.createOscillator();
tone.frequency.value = 880;
tone.connect(audio.destination);
tone.start();
tone.stop(audio.currentTime + 0.4);
}
function step() {
left -= 1;
if (left < 0) {
beep();
onBreak = !onBreak;
left = onBreak ? BREAK : FOCUS;
mode.textContent = onBreak ? 'Break' : 'Focus';
}
show();
}
toggle.addEventListener('click', () => {
if (tick) {
clearInterval(tick);
tick = null;
toggle.textContent = 'Start';
} else {
tick = setInterval(step, 1000);
toggle.textContent = 'Pause';
}
});
document.addEventListener('keydown', (e) => {
if (e.code === 'Space') { e.preventDefault(); toggle.click(); }
});
show();
</script>
</body>
</html>
2026-10-03-chapter-2-reading-plan.md2 KB
A project chat
---
conversation_id: "b18d4e07-6a3c-4f92-8d15-0e7c9a2b4f61"
source: claude
type: conversation
title: "Chapter 2 reading plan"
aliases:
- "Chapter 2 reading plan"
tags:
- capture/claude
created: 2026-10-03T09:12:40
updated: "2026-10-03T09:14:02.905Z"
verified_list_token: "2026-10-03T09:14:02.905Z"
conversation_files_fetched: true
synced: 2026-10-03T09:40:21
url: "https://claude.ai/chat/b18d4e07-6a3c-4f92-8d15-0e7c9a2b4f61"
project: "Thesis research"
documents:
- "Chapter 2 reading plan"
document_versions:
- document_index: 0
artifact_id: "chapter-2-reading-plan"
version_id: "e4b0c2d1-7f3a-4c86-9b25-1a6d8e0f3c74"
message_count: 2
capture_version: 2
content_hash: sha256:534938903b3ebc1e898b4f4e823f46428e246770a0cf8e6832eb79bd1c452462
---
**Human**
Draft a two-week reading plan for chapter 2. Mostly measurement first, then policy. Use my interview notes.
**Assistant**
> [!note]- Thought for 9s
> Ordering the reading from measurement to policy
> Fitting the interview notes into week 2
Here is a plan that moves from measurement to policy, with your interview notes in week 2. The district heat map from interview 3 makes a good baseline for week 1.
### 📄 Chapter 2 reading plan
# Chapter 2 reading plan
## Week 1: measuring the heat island
- Day 1–2: urban climate basics, then how surface and air temperature differ
- Day 3–4: two satellite studies of land surface temperature
- Day 5: compare their methods with the district heat map
## Week 2: what cities do about it
- Day 1–2: tree canopy and cool-roof programmes
- Day 3: your interview notes, coded by theme
- Day 4–5: write a two-page synthesis for the chapter outline- title
- Chapter 2 reading plan
- tags
- capture/claude
- created
- 2026-10-03T09:12:40
- url
- Open in Claude
- project
- Thesis research
+13 more fieldsHide 13 fields
- conversation_
id - b18d4e07-6a3c-4f92-8d15-0e7c9a2b4f61
- source
- claude
- type
- conversation
- aliases
- Chapter 2 reading plan
- updated
- 2026-10-03T09:14:02.905Z
- verified_
list_ token - 2026-10-03T09:14:02.905Z
- conversation_
files_ fetched - true
- synced
- 2026-10-03T09:40:21
- documents
- Chapter 2 reading plan
- document_
versions - document_index: 0 artifact_id: "chapter-2-reading-plan" version_id: "e4b0c2d1-7f3a-4c86-9b25-1a6d8e0f3c74"
- message_
count - 2
- capture_
version - 2
- content_
hash - sha256:534938903b3ebc1e898b4f4e823f46428e246770a0cf8e6832eb79bd1c452462
Human
Draft a two-week reading plan for chapter 2. Mostly measurement first, then policy. Use my interview notes.
Assistant
Thought for 9s
Ordering the reading from measurement to policy
Fitting the interview notes into week 2
Here is a plan that moves from measurement to policy, with your interview notes in week 2. The district heat map from interview 3 makes a good baseline for week 1.
📄 Chapter 2 reading plan
Chapter 2 reading plan
Week 1: measuring the heat island
- Day 1–2: urban climate basics, then how surface and air temperature differ
- Day 3–4: two satellite studies of land surface temperature
- Day 5: compare their methods with the district heat map
Week 2: what cities do about it
- Day 1–2: tree canopy and cool-roof programmes
- Day 3: your interview notes, coded by theme
- Day 4–5: write a two-page synthesis for the chapter outline
district-heat-map.png418 KB
An image uploaded to the project, saved as the original file.
interview-notes.md228 bytes
A project document, saved as Markdown
# Interview 3, city planning office
- Tree canopy targets slipped two years.
- Cool-roof rebates: popular, underfunded.
- Wants data on night-time temperatures by district.
- Suggested the 2019 district heat map as a baseline.Interview 3, city planning office
- Tree canopy targets slipped two years.
- Cool-roof rebates: popular, underfunded.
- Wants data on night-time temperatures by district.
- Suggested the 2019 district heat map as a baseline.
instructions.md181 bytes
The project’s instructions, as written in Claude
You are helping me write a master's thesis on urban heat islands.
- Cite sources in APA style.
- Keep answers short unless I ask for detail.
- Flag any claim you are unsure about.You are helping me write a master's thesis on urban heat islands.
- Cite sources in APA style.
- Keep answers short unless I ask for detail.
- Flag any claim you are unsure about.
Thesis research.md504 bytes
The project’s index note
---
source: claude
project_id: "7c2e9a41-3b5d-4f0e-9c1a-2d8e6f4b1a37"
url: "https://claude.ai/project/7c2e9a41-3b5d-4f0e-9c1a-2d8e6f4b1a37"
archived: false
---# Thesis research
- **Provider**: Claude
- **Project ID**: `7c2e9a41-3b5d-4f0e-9c1a-2d8e6f4b1a37`
- **Link**: https://claude.ai/project/7c2e9a41-3b5d-4f0e-9c1a-2d8e6f4b1a37
- **Instructions**: [instructions.md](instructions.md)
## Files
- [district-heat-map.png](files/district-heat-map.png)
- [interview-notes.md](files/interview-notes.md)- url
- Open in Claude
+3 more fieldsHide 3 fields
- source
- claude
- project_
id - 7c2e9a41-3b5d-4f0e-9c1a-2d8e6f4b1a37
- archived
- false
Thesis research
- Provider: Claude
- Project ID:
7c2e9a41-3b5d-4f0e-9c1a-2d8e6f4b1a37 - Link: https://claude.ai/project/7c2e9a41-3b5d-4f0e-9c1a-2d8e6f4b1a37
- Instructions: instructions.md
Files
2026-07-26-kyoto-in-late-november.md2 KB
A Grok chat with its sources as footnotes
---
conversation_id: "c93e1f58-2a7b-4d60-8e14-5b0f6a9d2c87"
source: grok
type: conversation
title: "Kyoto in late November"
aliases:
- "Kyoto in late November"
tags:
- capture/grok
created: 2026-07-26T21:05:12
updated: "2026-07-26T21:11:37.902Z"
verified_list_token: "2026-07-26T21:11:37.902Z"
conversation_files_fetched: true
synced: 2026-07-26T21:30:48
url: "https://grok.com/chat/c93e1f58-2a7b-4d60-8e14-5b0f6a9d2c87"
model: "grok-4"
message_count: 4
capture_version: 2
content_hash: sha256:e1cd6f55c9d3686f358d571e75f736f3ea7c46779f41c71290c009960f7391c8
---
**Human**
Is late November a good time to visit Kyoto? I care about autumn leaves but hate crowds.
**Assistant**
Late November is peak leaf season in Kyoto, so it is beautiful and busy at the same time.[^1]
| Week | Leaves | Crowds |
| --- | --- | --- |
| Mid November | Turning, best in the hills | Busy at weekends |
| Late November | Usually at their peak | Busiest of the year |
| Early December | Fading, still colourful in shaded gardens | Noticeably quieter |
To dodge the worst of it, go to famous temples like Kiyomizu-dera right at opening time, and spend the middle of the day in smaller gardens.[^2] The north of the city tends to turn a little earlier than the centre.[^3]
**Human**
So early December is the better trade-off for me?
**Assistant**
Probably, yes. You give up the very best colour for far fewer people, and many gardens still look good into the first week of December. Book a room early either way: hotels fill up for the whole season.
**Sources**
[^1]: [Kyoto](https://en.wikipedia.org/wiki/Kyoto)
[^2]: [Kiyomizu-dera](https://en.wikipedia.org/wiki/Kiyomizu-dera)
[^3]: [Autumn leaf color](https://en.wikipedia.org/wiki/Autumn_leaf_color)- title
- Kyoto in late November
- tags
- capture/grok
- created
- 2026-07-26T21:05:12
- url
- Open in Grok
+12 more fieldsHide 12 fields
- conversation_
id - c93e1f58-2a7b-4d60-8e14-5b0f6a9d2c87
- source
- grok
- type
- conversation
- aliases
- Kyoto in late November
- updated
- 2026-07-26T21:11:37.902Z
- verified_
list_ token - 2026-07-26T21:11:37.902Z
- conversation_
files_ fetched - true
- synced
- 2026-07-26T21:30:48
- model
- grok-4
- message_
count - 4
- capture_
version - 2
- content_
hash - sha256:e1cd6f55c9d3686f358d571e75f736f3ea7c46779f41c71290c009960f7391c8
Human
Is late November a good time to visit Kyoto? I care about autumn leaves but hate crowds.
Assistant
Late November is peak leaf season in Kyoto, so it is beautiful and busy at the same time.1
| Week | Leaves | Crowds |
|---|---|---|
| Mid November | Turning, best in the hills | Busy at weekends |
| Late November | Usually at their peak | Busiest of the year |
| Early December | Fading, still colourful in shaded gardens | Noticeably quieter |
To dodge the worst of it, go to famous temples like Kiyomizu-dera right at opening time, and spend the middle of the day in smaller gardens.2 The north of the city tends to turn a little earlier than the centre.3
Human
So early December is the better trade-off for me?
Assistant
Probably, yes. You give up the very best colour for far fewer people, and many gardens still look good into the first week of December. Book a room early either way: hotels fill up for the whole season.
Sources
- Kyoto
- Kiyomizu-dera
- Autumn leaf color
2026-09-29-hiking-newsletter-names.md2 KB
A chat with an edited message
---
conversation_id: "e2b7c4d9-5a13-4f68-9c0e-8d41a6f2b379"
source: grok
type: conversation
title: "Hiking newsletter names"
aliases:
- "Hiking newsletter names"
tags:
- capture/grok
created: 2026-09-29T19:40:12
updated: "2026-09-29T19:43:11.604Z"
verified_list_token: "2026-09-29T19:43:11.604Z"
conversation_files_fetched: true
synced: 2026-09-29T20:05:33
url: "https://grok.com/chat/e2b7c4d9-5a13-4f68-9c0e-8d41a6f2b379"
model: "grok-4"
message_count: 6
capture_version: 2
content_hash: sha256:7d23bd2af5cee5c9391609d1b3059151c205a0c229752500fe240d9704cfefb4
---
*Conversation branches are shown separately below. Shared messages repeat in each branch.*
## Branch 1
**Human**
I’m starting a monthly email newsletter about easy day hikes near where I live. Can you suggest five names?
**Assistant**
Here are five, from plain to playful:
1. **The Day Hike**: says exactly what it is.
2. **Trailhead Monthly**: clear about when it arrives.
3. **Out and Back**: a nod to the most common kind of short hike.
4. **First Light Trails**: for a newsletter that likes early starts.
5. **Small Summits**: easy hikes that still end with a view.
Adding your area’s name to any of these makes it easier for local readers to find.
**Human**
I like Out and Back. Can you write a one-line description to go under it?
**Assistant**
**Out and Back**: one easy day hike a month, with the trail, how long it takes and where to get coffee after.
## Branch 2
**Human**
I’m starting a monthly email newsletter about easy day hikes near where I live. Can you suggest five names?
**Assistant**
Here are five, from plain to playful:
1. **The Day Hike**: says exactly what it is.
2. **Trailhead Monthly**: clear about when it arrives.
3. **Out and Back**: a nod to the most common kind of short hike.
4. **First Light Trails**: for a newsletter that likes early starts.
5. **Small Summits**: easy hikes that still end with a view.
Adding your area’s name to any of these makes it easier for local readers to find.
**Human**
I like Out and Back. Can you write a short welcome for the first issue?
**Assistant**
Welcome to the first issue of **Out and Back**. Once a month I’ll send you one easy day hike: where it starts, how long it takes, and a good place to stop on the way home. This month it’s a two-hour loop with a lake at the halfway point.- title
- Hiking newsletter names
- tags
- capture/grok
- created
- 2026-09-29T19:40:12
- url
- Open in Grok
+12 more fieldsHide 12 fields
- conversation_
id - e2b7c4d9-5a13-4f68-9c0e-8d41a6f2b379
- source
- grok
- type
- conversation
- aliases
- Hiking newsletter names
- updated
- 2026-09-29T19:43:11.604Z
- verified_
list_ token - 2026-09-29T19:43:11.604Z
- conversation_
files_ fetched - true
- synced
- 2026-09-29T20:05:33
- model
- grok-4
- message_
count - 6
- capture_
version - 2
- content_
hash - sha256:7d23bd2af5cee5c9391609d1b3059151c205a0c229752500fe240d9704cfefb4
Conversation branches are shown separately below. Shared messages repeat in each branch.
Branch 1
Human
I’m starting a monthly email newsletter about easy day hikes near where I live. Can you suggest five names?
Assistant
Here are five, from plain to playful:
- The Day Hike: says exactly what it is.
- Trailhead Monthly: clear about when it arrives.
- Out and Back: a nod to the most common kind of short hike.
- First Light Trails: for a newsletter that likes early starts.
- Small Summits: easy hikes that still end with a view.
Adding your area’s name to any of these makes it easier for local readers to find.
Human
I like Out and Back. Can you write a one-line description to go under it?
Assistant
Out and Back: one easy day hike a month, with the trail, how long it takes and where to get coffee after.
Branch 2
Human
I’m starting a monthly email newsletter about easy day hikes near where I live. Can you suggest five names?
Assistant
Here are five, from plain to playful:
- The Day Hike: says exactly what it is.
- Trailhead Monthly: clear about when it arrives.
- Out and Back: a nod to the most common kind of short hike.
- First Light Trails: for a newsletter that likes early starts.
- Small Summits: easy hikes that still end with a view.
Adding your area’s name to any of these makes it easier for local readers to find.
Human
I like Out and Back. Can you write a short welcome for the first issue?
Assistant
Welcome to the first issue of Out and Back. Once a month I’ll send you one easy day hike: where it starts, how long it takes, and a good place to stop on the way home. This month it’s a two-hour loop with a lake at the halfway point.
2026-10-06-household-budget-csv.md1 KB
A chat where Grok made a file
---
conversation_id: "9a4e2f71-c8d3-4b56-8e19-2f7c0b6d4a85"
source: grok
type: conversation
title: "Household budget CSV"
aliases:
- "Household budget CSV"
tags:
- capture/grok
created: 2026-10-06T08:12:44
updated: "2026-10-06T08:15:09.488Z"
verified_list_token: "2026-10-06T08:15:09.488Z"
conversation_files_fetched: true
synced: 2026-10-06T08:30:17
url: "https://grok.com/chat/9a4e2f71-c8d3-4b56-8e19-2f7c0b6d4a85"
model: "grok-4"
message_count: 4
capture_version: 2
content_hash: sha256:c8c9bbb4a749f8286ce0328ebe81899477725b2b76e3d4f7f7aa4890bd5735da
---
**Human**
Turn my monthly budget into a CSV I can import into a spreadsheet, with a column for each item’s share of the total.
Rent 1450
Groceries 420
Utilities 165
Transport 120
Phone and internet 85
Savings 400
Everything else 260
**Assistant**
Here’s your budget as a CSV, with a share column and a total row. It comes to 2,900 a month.
[household-budget.csv](files/household-budget.csv)
Rent takes exactly half. Groceries and savings come next, at about 14% each.
**Human**
If I cut everything else to 200, what share does savings get?
**Assistant**
Savings stays at 400, but its share rises to 14.1%, because the total drops to 2,840. If you move the 60 you cut into savings instead, the total stays at 2,900 and savings becomes 460, or 15.9%.- title
- Household budget CSV
- tags
- capture/grok
- created
- 2026-10-06T08:12:44
- url
- Open in Grok
+12 more fieldsHide 12 fields
- conversation_
id - 9a4e2f71-c8d3-4b56-8e19-2f7c0b6d4a85
- source
- grok
- type
- conversation
- aliases
- Household budget CSV
- updated
- 2026-10-06T08:15:09.488Z
- verified_
list_ token - 2026-10-06T08:15:09.488Z
- conversation_
files_ fetched - true
- synced
- 2026-10-06T08:30:17
- model
- grok-4
- message_
count - 4
- capture_
version - 2
- content_
hash - sha256:c8c9bbb4a749f8286ce0328ebe81899477725b2b76e3d4f7f7aa4890bd5735da
Human
Turn my monthly budget into a CSV I can import into a spreadsheet, with a column for each item’s share of the total.
Rent 1450
Groceries 420
Utilities 165
Transport 120
Phone and internet 85
Savings 400
Everything else 260
Assistant
Here’s your budget as a CSV, with a share column and a total row. It comes to 2,900 a month.
Rent takes exactly half. Groceries and savings come next, at about 14% each.
Human
If I cut everything else to 200, what share does savings get?
Assistant
Savings stays at 400, but its share rises to 14.1%, because the total drops to 2,840. If you move the 60 you cut into savings instead, the total stays at 2,900 and savings becomes 460, or 15.9%.
household-budget.csv201 bytes
The CSV Grok made, saved as the original file
| category | monthly_amount | share_of_total |
|---|---|---|
| Rent | 1450 | 50.0% |
| Groceries | 420 | 14.5% |
| Utilities | 165 | 5.7% |
| Transport | 120 | 4.1% |
| Phone and internet | 85 | 2.9% |
| Savings | 400 | 13.8% |
| Everything else | 260 | 9.0% |
| Total | 2900 | 100.0% |
The aliases field means [[Q3 orders by region]] links to that chat from any note, even though the filename is dated.
Carry runs in Chrome and other Chromium browsers and doesn’t cover Gemini or Perplexity yet. The 14-day trial saves your latest 5 chats per provider, and a one-time $59 license saves your full history.
Finding a chat three weeks later
Saving is only half of it. As one r/ObsidianMD post put it: “the saving part was the easy problem. When I actually need to find something from three weeks ago it’s still kind of a mess.”
With every chat in one folder, you don’t need to remember which AI you asked. There are three ways in.
Obsidian search. [source:claude] migration finds Claude chats that mention migration. Add path:carry-backup to any search to limit it to saved chats.
The agent you already set up. Claude Code running in the vault can search carry-backup/ like any other folder. Ask it what you decided about the migration and which chat it was in.
A Dataview table. Paste this into a note to list the last three weeks of chats from all three apps, newest first:
```dataview
TABLE source, created
FROM "carry-backup"
WHERE type = "conversation" AND date(today) - created <= dur(21 days)
SORT created DESC
```
Common questions
Does my vault need an AI plugin?
Should I save whole AI chats or just summaries?
Does Carry summarize chats or connect AI to my vault?
Does it work with Gemini or Perplexity?
Will Carry touch my existing notes?
carry-backup/ folder. If you edit the text of a saved chat, Carry skips that file instead of overwriting your edit.Is a browser extension safe for this?
Carry processes chats on your device and never uploads them. Verified compatibility settings download from carry.md, with an off switch. See privacy details.
Save every conversation.
Sync your ChatGPT, Claude, and Grok conversations into your own folder — as clean Markdown, processed on your device.