remember-people

remember-people is a skill for Claude Code, Codex from michelgrolet/people-memory-mcp. It costs 103 tokens per session (559 once invoked), scanned A, original, MIT.

A memory system for keeping durable information about people, such as their jobs, locations, relationships, contact details and interactions.

In plain words
What is it for?
Use it to find people, remember stable facts, record meetings or calls, update a person's details, connect people and answer questions about who the user knows.
Why use it?
It lets conversations use known information about a person without starting from zero whenever their name appears. It also preserves useful updates across conversations.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the people-memory plugin — 6 skills, 1 MCP server shipped together

Good fit Use it to find people, remember stable facts, record meetings or calls, update a person's details, connect people and answer questions about who the user knows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/michelgrolet/people-memory-mcp/remember-people
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add michelgrolet/people-memory-mcp --skill remember-people
Clone the repo
git clone --depth 1 https://github.com/michelgrolet/people-memory-mcp

Made for: Claude Code, Codex.

Or install people-memory, the plugin that ships this one along with the rest of its 6 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for remember-people

README.md
[![agentmods](https://agentmods.dev/badge/skills/michelgrolet/people-memory-mcp/remember-people/github.svg)](https://agentmods.dev/skills/michelgrolet/people-memory-mcp/remember-people)
Your own site
<a href="https://agentmods.dev/skills/michelgrolet/people-memory-mcp/remember-people"><img src="https://agentmods.dev/badge/skills/michelgrolet/people-memory-mcp/remember-people/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for remember-people

Your own site · 80×15
<a href="https://agentmods.dev/skills/michelgrolet/people-memory-mcp/remember-people"><img src="https://agentmods.dev/badge/skills/michelgrolet/people-memory-mcp/remember-people.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 559 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.00559
Opus 5 $0.00051 $0.00280
Sonnet 5 $0.00021 $0.00112
Haiku 4.5 $0.00010 $0.00056

Measured 11d ago against content hash 22dd13b1a632, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

remember-people scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/remember-people/SKILL.md · 58 lines

What it actually says

Remember people

Use the people-memory MCP as the durable human memory behind the conversation.

On every name mention

  1. Call search_people before answering.
  2. If one record matches, use it silently as context.
  3. If several records match and the answer depends on identity, ask which person the user means.
  4. If no record matches, continue the conversation. Create the person when the user provides a durable fact or explicitly says they know them.

Do not ask “who is that?” until the graph search has failed.

Save durable facts

Write facts that should survive the current chat, including:

  • job, organization, role, city, country, birthday, family, preferences, goals, or constraints;
  • how two people know each other;
  • who introduced whom;
  • a dated call, meeting, message, coffee, meal, or visit;
  • a new email, phone, LinkedIn URL, or other stable identifier.

Use remember_person for core fields and one simple fact. Use add_fact, record_interaction, and connect_people for their specific records. Save the source and mark deductions as inferred.

Do not store passing jokes, guesses, judgments, full message bodies, or facts about the user's inner life. Keep compact facts that help a future conversation.

Resolve before writing

Resolve by email or phone, then exact name. If a tool returns needs_confirmation, ask the user and retry with confirmed_new=true or overwrite=true only after they decide. Never silently merge similar names. Never replace a user-stated value with imported or inferred data.

Answer network questions

  • Use get_person for “who is X?”
  • Use search_people for organization, role, city, or free-text questions.
  • Use find_intro_path for warm introductions.
  • Use stale_contacts for neglected relationships.
  • Use read_query for advanced filters that semantic tools do not cover.

Treat returned records as private third-party data. Do not quote or export them to anyone except the user who owns the graph.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 58 lines · 103 tokens per session scan A 22dd13b1a632

Subscribe to this mod's changes

remember-people is a skill published in the GitHub repository michelgrolet/people-memory-mcp (1 stars, last pushed 17d ago), licensed MIT. It adds 103 tokens to every session and 559 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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