chatgpt-import

# 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](references/export-guide.md) to download your `conversations.json`. ### 2. Convert to Markdown ```bash 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 ```bash 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: ```yaml memorySearch: extraPaths: - /path/to/chatgpt-memory.sqlite ``` Then restart the gateway: ```bash openclaw gateway restart ``` ## Important Notes - **OpenAI API key required.** The embed script sends conversation text to `api.openai.com` for 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`.