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Memory Research

basicmachines-co/basic-memory-skills

When you drop a company name, URL, or "research X" into a conversation, this runs web searches, checks if you already have notes on it, then proposes creating a structured memory entity with what it found. It hedges uncertain info, stores source URLs, and won't create anything without your approval. The workflow is thorough: 3-5 searches per subject, checks for duplicates in your existing knowledge graph, captures any context you mentioned alongside the name. Useful if you're building up a knowledge base of companies, people, or technologies and want research folded directly into your memory system rather than just getting a one-off answer.

skills.sh installs
525
GitHub stars
23
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add basicmachines-co/basic-memory-skills --skill memory-research --agent claude-code

Installs into .claude/skills of the current project.

Files

Memory Research

Research an external subject, synthesize what you find, and create a structured Basic Memory entity — with the user's approval.

When to Use

Explicit triggers:

  • "Research [subject]"
  • "Look up [subject]"
  • "What do you know about [subject]?"
  • "Evaluate [subject]"

Implicit triggers (also activate this skill):

  • A bare name: "Terraform"
  • A URL: "https://example.com"
  • A name with context: "Acme Corp — saw them at the conference"

Workflow

Step 1: Web Research

Search for current information across multiple sources. Aim for 3-5 searches to build a well-rounded picture:

[subject name] site
[subject name] overview
[subject name] news [current year]
[subject name] [relevant domain keywords]

What to gather by entity type:

SKILL.md on GitHub

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Details

Repository
github.com/basicmachines-co/basic-memory-skills
Category
Data Science & ML
First seen
Jun 3, 2026

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