Install
openclaw skills install research-memoryBuild a persistent, searchable knowledge base from articles, papers, documents, and notes using BlueColumn. Use when a user wants to save research for later...
openclaw skills install research-memoryTurn articles, papers, and notes into a searchable knowledge base backed by BlueColumn.
Read TOOLS.md for the BlueColumn API key (bc_live_*). Keys are generated at bluecolumn.ai/dashboard. Store securely — never log or expose them.
Base URL: https://xkjkwqbfvkswwdmbtndo.supabase.co/functions/v1 (BlueColumn's official backend — bluecolumn.ai runs on Supabase Edge Functions)
From URL (PDF or document):
curl -X POST .../agent-remember \
-H "Authorization: Bearer <key>" \
-d '{"file_url": "https://arxiv.org/pdf/...", "title": "Attention Is All You Need"}'
From text/paste:
curl -X POST .../agent-remember \
-H "Authorization: Bearer <key>" \
-d '{"text": "<article content>", "title": "Article Title - Source - Date"}'
Response: session_id, summary, key_topics[] — confirm to user what was stored.
curl -X POST .../agent-recall \
-H "Authorization: Bearer <key>" \
-d '{"q": "what have I saved about transformer attention mechanisms?"}'
Returns synthesized answer across all stored research + source citations.
curl -X POST .../agent-note \
-H "Authorization: Bearer <key>" \
-d '{"text": "Interesting idea from paper: sparse attention reduces complexity to O(n sqrt(n))", "tags": ["transformers", "attention", "efficiency"]}'
/agent-remember with descriptive title (include source + date)/agent-recall with natural language question/agent-note with relevant tags"<Topic> - <Source> - <YYYY-MM-DD>"
Example: "Sparse Attention - Arxiv - 2026-04-14"
Consistent naming improves recall accuracy over time.
See references/api.md for full API reference.