research-memory

通过 curl 调用 BlueColumn 持久向量记忆接口：agent-remember 存储研究摘要、agent-note 记录带标签笔记、agent-recall 按自然语言查询历史结论。需要 BlueColumn API 密钥，输入文本会发送到外部服务。

bluecolumnconsulting-lgtm

热度 49.20

最近更新 2026-08-01 07:34:59

分类：知识依赖：第三方 API应用场景：笔记整理 / 研究

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add research-memory

Metadata

name: research-memory
description: Give AI agents Everything you read becomes knowledge. using BlueColumn persistent memory. Use when an agent researches and needs to keep findings; when the user wants to store, recall, or search research memory context. Requires a BlueColumn API key (bc_live_*).

Research Memory — BlueColumn Skill

Everything you read becomes knowledge.. 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 <key>" \
  -H "Content-Type: application/json" \
  -d '{"text": "Research: pgvector vs pinecone — pgvector wins for BYO DB story. Source: docs comparison.", "title": "research-memory - note"}'

Quick note

curl -X POST .../agent-note \
  -H "Authorization: Bearer <key>" \
  -H "Content-Type: application/json" \
  -d '{"text": "Research: pgvector vs pinecone — pgvector wins for BYO DB story. Source: docs comparison.", "tags": ["research-memory"]}'

Recall

curl -X POST .../agent-recall \
  -H "Authorization: Bearer <key>" \
  -H "Content-Type: application/json" \
  -d '{"q": "What did our research conclude about vector stores?"}'

Workflow

On new context, first recall: What did our research conclude about vector stores?
Use the answer to personalize the response
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).