copilotexport 0.0.2

Export all VS Code GitHub Copilot Chat conversations to JSON and Markdown.

copilotexport

Export all of your VS Code GitHub Copilot Chat conversations — including full tool-call history — to JSON and Markdown. Mirrors the layout of ChatGPT and Claude exports.

Installation

pip install copilotexport

Usage

CLI

# Export everything to ./_copilot/ and create CopilotExport.zip
copilotexport

# Custom source and output
copilotexport --src /path/to/Code/User/workspaceStorage --out ~/my-export

# Skip Markdown rendering (index + raw JSON only, much faster)
copilotexport --no-markdown

# Skip the zip file
copilotexport --no-zip

# Skip copying raw VS Code JSON (markdown + index only)
copilotexport --no-raw

# Bundle every session into a single zip ready to upload to AGiXT's
# /v1/conversation/import endpoint (auto-detected as the 'copilot' source).
copilotexport --agixt-zip ~/CopilotForAGiXT.zip

Importing into AGiXT

--agixt-zip PATH writes a zip containing a single conversations.json — a JSON array of raw VS Code session dicts. Upload it through the Import Conversations control on the AGiXT settings page, or POST it directly:

curl -F file=@CopilotForAGiXT.zip -F agent_name=XT \
     -H "Authorization: $JWT" \
     http://localhost:7437/v1/conversation/import

AGiXT detects the format as copilot, prefixes imported conversations with [Copilot], and renders Copilot tool invocations as [SUBACTIVITY] blocks in the chat UI.

Python API

from copilotexport import export, default_workspace_storage
from pathlib import Path

summary = export(
    src=default_workspace_storage(),
    out=Path("_copilot"),
    write_markdown=True,
    make_zip=True,
    copy_raw=True,
)
print(summary)

Output layout

_copilot/
├── export_info.json                         # run summary
├── index.json                               # flat metadata for all sessions
├── workspaces.json                          # wsHash → folder URI map
├── sessions/
│   └── <workspace_label>/
│       └── <sessionId>.json                 # verbatim VS Code session file
└── markdown/
    └── <workspace_label>/
        └── <YYYY-MM-DD>_<title>_<id8>.md   # human-readable transcript

Each Markdown transcript includes:

• Session metadata (title, session ID, timestamps, model, agent)
• User messages
• Assistant responses with prose rendered inline
• Tool calls rendered as structured blocks showing the tool name, request summary, result summary, and any file paths touched

Platform support

VS Code's workspaceStorage is auto-detected on Linux, macOS, and Windows.

OS	Default path
Linux	~/.config/Code/User/workspaceStorage
macOS	~/Library/Application Support/Code/User/workspaceStorage
Windows	%APPDATA%\Code\User\workspaceStorage