Memory

coaching-memory

Try it

Give AI agents Track goals and coaching progress. using BlueColumn persistent memory. Use when an agent coaches users and tracks progress; when the user wants to store, recall, or search coaching memory context. Requires a BlueColumn API key (bc_live_*).

What it does

Give AI agents Track goals and coaching progress. using BlueColumn persistent memory. Use when an agent coaches users and tracks progress; when the user wants to store, recall, or search coaching memory context. Requires a BlueColumn API key (bc_live_*).

The skill document

Coaching Memory — BlueColumn Skill

Track goals and coaching progress.. Powered by BlueColumn (bluecolumn.ai) persistent vector memory.

Setup

Read TOOLS.md or the platform secret store for the BlueColumn API key (bc_live_*). Base URL: https://xkjkwqbfvkswwdmbtndo.supabase.co/functions/v1

Store

curl -X POST .../agent-remember \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{"text": "Goal: ship MVP by Sep. Check-in 7/31: on track, risk — design sign-off.", "title": "coaching-memory - note"}'

Quick note

curl -X POST .../agent-note \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{"text": "Goal: ship MVP by Sep. Check-in 7/31: on track, risk — design sign-off.", "tags": ["coaching-memory"]}'

Recall

curl -X POST .../agent-recall \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{"q": "How is the user progressing against their goals?"}'

Workflow

  1. On new context, first recall: How is the user progressing against their goals?
  2. Use the answer to personalize the response
  3. After the interaction, store the summary via /agent-remember

Docs

Full API reference: https://bluecolumn.ai/docs — fields are text, q, tags (not content/query/note).

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