Chatgpt Import OpenClaw Plugin & Skill | ClawHub
Looking to integrate Chatgpt Import into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate coding agents & ides tasks instantly, without having to write custom tools from scratch.
What this skill does
Import ChatGPT conversation history into OpenClaw's memory search. Use when migrating from ChatGPT, giving OpenClaw access to old conversations, or building a searchable archive of past chats.
Install
openclaw skills install @samdickson22/chatgpt-importnpx clawhub@latest install chatgpt-importFull SKILL.md
Open original| name | description |
|---|---|
| chatgpt-import | Import ChatGPT conversation history into OpenClaw's memory search. Use when migrating from ChatGPT, giving OpenClaw access to old conversations, or building a searchable archive of past chats. |
SKILL.md content below is scrollable.
ChatGPT History Import
Import your ChatGPT conversations into OpenClaw so they're searchable via memory search.
Workflow
1. Export from ChatGPT
Follow references/export-guide.md to download your conversations.json.
2. Convert to Markdown
python3 scripts/convert_chatgpt.py \
--input /path/to/conversations.json \
--output /path/to/chatgpt-history
Options: --min-messages N to skip trivial conversations (default: 2).
3. Embed into SQLite
export OPENAI_API_KEY=sk-...
python3 scripts/bulk_embed.py \
--history-dir /path/to/chatgpt-history \
--db /path/to/chatgpt-memory.sqlite
Options: --model, --batch-size, --max-workers, --chunk-size, --api-key.
4. Configure OpenClaw
Add as an extra search path in your OpenClaw config:
memorySearch:
extraPaths:
- /path/to/chatgpt-memory.sqlite
Then restart the gateway:
openclaw gateway restart
Important Notes
- OpenAI API key required. The embed script sends conversation text to
api.openai.comfor embedding. If your conversations contain secrets, consider filtering them out first or using a scoped API key. - No key material stored. The generated DB does not store your API key.
- Back up first. The embed script will refuse to overwrite an existing output DB.
- Embeddings cost money — but it's cheap. ~2,400 conversations cost ~$0.15 with
text-embedding-3-small.