Skip to main content
Glama
michelgrolet

people-memory-mcp

by michelgrolet

People Memory

Give your AI agent a private, durable memory of everyone you know.

People Memory is a personal people graph with an MCP server, PostgreSQL schema, optional REST API, browser UI, importers, and agent skills. It remembers people across conversations, retrieves someone as soon as you mention them, records durable facts, and asks before it merges ambiguous identities.

Your data stays in your PostgreSQL database. The repository contains no hosted service, telemetry, contact data, or credentials.

What it does

  • Maps people, organizations, relationships, affiliations, identifiers, facts, and interactions.

  • Gives Codex, Claude Code, and other MCP clients semantic tools plus guarded SQL.

  • Teaches the agent to look up names before answering and save durable facts during every chat.

  • Imports LinkedIn Connections, Google Contacts, and WhatsApp chat exports.

  • Can enrich records through connectors the user approves, including Gmail, Calendar, and Drive.

  • Runs fully local with Supabase CLI or in the cloud with any PostgreSQL database.

  • Recommends a free Supabase project because it includes Postgres, Auth, REST, and a local stack.

  • Includes a full-screen relationship graph and searchable directory.

  • Refuses uncertain merges and conflicting overwrites until the user decides.

Related MCP server: hippocampus-mcp

How it fits together

flowchart LR
  Agent["Your existing agent"] --> MCP["People Memory MCP"]
  MCP --> PG[("PostgreSQL")]
  Agent --> Connectors["Optional Gmail / Calendar / Drive / WhatsApp connectors"]
  Connectors --> MCP
  UI["Private graph UI"] --> Supabase["Supabase Auth + REST"]
  Supabase --> PG
  API["Optional REST API"] --> PG

The MCP server provides live reads and controlled writes. The bundled skills provide the behavior: when to retrieve, what to remember, how to import, when to ask, and how to upgrade safely.

Quick start

Requirements: Python 3.11+, uv, Docker, and the Supabase CLI.

git clone https://github.com/michelgrolet/people-memory-mcp.git
cd people-memory-mcp
uv sync --extra api --extra dev
supabase start
supabase db reset

supabase status prints the local database URL, API URL, and browser publishable key. Save the database URL in ~/.config/people-memory/.env:

PEOPLE_MEMORY_DATABASE_URL=postgresql://postgres:postgres@127.0.0.1:54322/postgres
PEOPLE_MEMORY_ENABLE_RAW_SQL=false
PEOPLE_MEMORY_DEFAULT_SOURCE=agent

The file is read automatically and should have mode 0600.

Set your owner email before using the UI:

update app_settings set value = 'you@example.com' where key = 'owner_email';

Then configure the browser app:

cp web/config.example.js web/config.js
# add the API URL and publishable key printed by `supabase status`
python3 -m http.server 4173 --directory web

Open http://127.0.0.1:4173. Local signup emails appear in Supabase Mailpit, whose URL is also printed by supabase status.

Connect an agent

The interactive wizard detects Codex and Claude Code:

uv run people-memory setup

Or add the server directly.

Codex:

codex mcp add people-memory \
  --env PEOPLE_MEMORY_ENV_FILE="$HOME/.config/people-memory/.env" \
  -- uvx --from git+https://github.com/michelgrolet/people-memory-mcp people-memory-mcp

Claude Code:

claude mcp add -s user people-memory \
  -e PEOPLE_MEMORY_ENV_FILE="$HOME/.config/people-memory/.env" \
  -- uvx --from git+https://github.com/michelgrolet/people-memory-mcp people-memory-mcp

Start a new agent session after adding an MCP server. Install or invoke setup-people-memory from the plugin to add the durable memory rule, choose imports, connect optional data sources, and verify the complete flow.

Install the agent skills from a clone

Codex discovers skills in ~/.agents/skills; Claude Code uses ~/.claude/skills. Symlink every People Memory skill so updates to the clone are picked up automatically:

mkdir -p "$HOME/.agents/skills"
for skill in "$PWD"/skills/*; do
  ln -s "$skill" "$HOME/.agents/skills/$(basename "$skill")"
done

Use ~/.claude/skills instead for Claude Code. Restart the agent, then ask it to run setup-people-memory. The repository is also packaged as a Codex plugin for marketplace or team distribution.

MCP tools

Tool

Purpose

search_people

Search names, organizations, roles, cities, identifiers, summaries, and facts

get_person

Return a complete person record, or candidates when a name is ambiguous

remember_person

Create or update a person without silent duplicate merges or overwrites

add_fact

Save typed or free-form facts with source and confidence

record_interaction

Record a call, message, meeting, meal, or other dated interaction

connect_people

Record how two people know each other

find_intro_path

Find warm introduction paths into an organization

stale_contacts

Find strong relationships that have gone quiet

read_query

Run one guarded SELECT for advanced analysis

write_query

Run one guarded INSERT, UPDATE, or DELETE

Raw SQL is disabled by default. If enabled, it rejects multiple statements, DDL, dangerous functions, multiple data-changing operations, and UPDATE/DELETE without a WHERE clause. read_query also runs inside a read-only transaction with a bounded result set.

Imports

Official exports are the safest default. They are inspectable and do not require sharing account passwords.

uv run people-memory import linkedin ~/Downloads/Connections.csv
uv run people-memory import google ~/Downloads/contacts.csv
uv run people-memory import whatsapp ~/Downloads/chat.txt --self-name "Your Name" --date-order dmy

Imports resolve email or phone first, then name. They fill missing values and never overwrite a conflict silently. The import-contacts skill can inspect unfamiliar CSV columns and guide the user through ambiguous matches.

Optional connectors

People Memory does not collect Gmail, Calendar, Drive, or WhatsApp credentials. The enrich-people skill uses connectors already authorized in the user's agent. It asks which sources may be read, limits the time range, shows what it plans to save, and marks every fact with its source.

Supported patterns include:

  • Gmail: participants, signatures, organizations, and last interaction dates.

  • Calendar: meetings, attendees, locations, and interaction dates.

  • Drive: user-selected documents that mention known people.

  • WhatsApp: official exports by default; a self-hosted MCP bridge is optional.

  • Browser agents: Codex in Chrome or Claude in Chrome can help configure Supabase and inspect the UI.

See docs/connectors.md for the permission and identity rules.

Hosted Supabase

Create a free Supabase project, then apply the checked-in migrations:

supabase login
supabase link --project-ref YOUR_PROJECT_REF
supabase db push

Set owner_email, enable the desired Auth providers, and deploy web/ to a static host. The browser uses only the publishable key. Row-level security rejects every account except the configured owner. The MCP server uses a direct PostgreSQL URL stored outside Git.

For an existing non-Supabase PostgreSQL database, apply only supabase/migrations/20260803000000_core.sql and use the optional API for browser access.

Optional REST API

uv run --extra api people-memory api --host 127.0.0.1 --port 8765

Set PEOPLE_MEMORY_API_TOKEN to require Authorization: Bearer .... Keep the API on loopback unless you put it behind TLS, authentication, rate limits, and backups.

Skills

  • setup-people-memory: choose local/cloud deployment, configure an existing agent, select imports, offer approved connectors, start the UI, and verify the install.

  • remember-people: retrieve on name mention and save durable human facts during conversation.

  • import-contacts: import and deduplicate official exports.

  • enrich-people: use approved Gmail, Calendar, Drive, browser, or WhatsApp connectors.

  • maintain-people-memory: audit duplicates, conflicts, stale ties, and data quality.

  • upgrade-people-memory: back up, migrate, upgrade the MCP/UI/skills, and verify data.

If the user does not already have an agent, the setup skill can create a minimal Codex or Claude Code workspace from templates/ and connect People Memory to it.

Privacy and safety

This database contains third-party personal data. Treat it accordingly.

  • One database per person is the default design.

  • Hosted UI access is restricted with Supabase Auth and forced row-level security.

  • The browser publishable key is safe to expose only because RLS is enabled.

  • The service-role key and PostgreSQL password must never enter browser code or Git.

  • Connector access is opt-in per source. Imported and inferred facts keep provenance.

  • Delete archives a JSON snapshot in deleted_records before cascading dependent rows.

  • Back up before schema upgrades or bulk merges.

Read docs/privacy.md and SECURITY.md before exposing any component to the internet.

Development

uv sync --extra api --extra dev
uv run ruff check .
uv run pytest --cov=people_memory
supabase db reset

The project uses the current stable v2 line of the official MCP Python SDK and the latest Supabase migration workflow.

License

MIT

Install Server
A
license - permissive license
B
quality
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    A
    maintenance
    Open-source MCP memory server providing persistent, cross-platform context for AI tools via a knowledge graph with encrypted storage.
    Last updated
    18
    13
    AGPL 3.0
  • A
    license
    A
    quality
    A
    maintenance
    A personal memory MCP server that ingests AI agent conversation logs from multiple platforms into a searchable PostgreSQL+pgvector database, enabling cross-session recall of past reasoning and decisions.
    Last updated
    6
    MIT
  • A
    license
    -
    quality
    A
    maintenance
    MCP server providing persistent AI memory with four-tier retrieval (SQLite FTS5, graph, vector, LLM agent) to give AI assistants structured, long-term memory without RAG.
    Last updated
    1
    Apache 2.0
  • A
    license
    -
    quality
    D
    maintenance
    A privacy-first MCP server that acts as the universal memory and profile layer for AI agents, enabling profile management, skills, resume import, and team sync.
    Last updated
    4
    MIT

View all related MCP servers

Related MCP Connectors

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/michelgrolet/people-memory-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server