Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Import and embed ChatGPT conversation history into OpenClaw's memory search database for easy archival and retrieval of past chats.
Import and embed ChatGPT conversation history into OpenClaw's memory search database for easy archival and retrieval of past chats.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Import your ChatGPT conversations into OpenClaw so they're searchable via memory search.
Follow references/export-guide.md to download your conversations.json.
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).
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.
Add as an extra search path in your OpenClaw config: memorySearch: extraPaths: - /path/to/chatgpt-memory.sqlite Then restart the gateway: openclaw gateway restart
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 โ but it's cheap. ~2,400 conversations cost ~$0.15 with text-embedding-3-small.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.