A private people graph that gives your agent durable memory of everyone you know. MCP tools to search, remember and connect people, plus skills that retrieve and record them during ordinary conversation.
MCP server "people-memory" as configured in michelgrolet/people-memory-mcp. Runs locally from the git+https://github.com/michelgrolet/people-memory-mcp Python package.
Enrich People Memory from user-approved Gmail, Google Calendar, Google Drive, WhatsApp, browser, CRM, or other agent connectors; discover available MCPs or apps, request narrow permissions, resolve people, extract compact durable facts and interactions, ask about ambiguity or conflicts, and write provenance. Use when…
Import people into People Memory with built-in LinkedIn Connections CSV, Google Contacts CSV, and WhatsApp export support, or an agent-reviewed mapping for vCards and arbitrary CSV/JSON; preview fields, normalize identifiers, deduplicate, surface ambiguous identities and conflicting values, and report results. Use…
Audit and maintain a People Memory graph: find probable duplicate people or organizations, orphan records, conflicting facts, missing identifiers, stale relationships, invalid dates, import quality issues, or oversized archives; propose merges and cleanup, back up first, and apply only user-approved destructive…
Use People Memory automatically during ordinary conversation: retrieve a person's record whenever the user mentions them, remember durable facts about humans, record calls or meetings, update jobs or cities, connect people, and answer who the user knows. Trigger on any named person, durable human fact, relationship…
Set up or reconfigure People Memory for an existing Codex, Claude Code, Cursor, or other MCP-capable agent; create a minimal personal agent if needed; choose local PostgreSQL or hosted Supabase; install the schema, MCP, UI, and durable memory instructions; ask which LinkedIn, Google Contacts, WhatsApp, Gmail…
Upgrade an installed People Memory plugin, MCP package, PostgreSQL/Supabase schema, optional API, web UI, and bundled skills; inspect release notes, back up data, apply ordered migrations, refresh uvx or local installs, preserve config and credentials, restart agents, and verify reads and writes. Use when the user…
A private location archive that gives your agent durable memory of where you have been, and the weather at those coordinates. MCP tools for stays, cities, countries, trips, journeys and records, plus a chance of rain counted over 120 ensemble members from ECMWF, DWD and NOAA. The skills check the archive before answer.
AGENTS.md instructions for michelgrolet/tars-location-mcp, a project described as: A private location archive with an MCP server: where you were, when, for how long, and who with. Your Postgres, no hosted service.
Install or repair the location archive. Use when the location tools are missing, when they error on the database, when the user wants to import a Google Timeline export, when they want to start a live feed from OwnTracks, or when they ask to set up location memory.
Answer any weather question through the location archive, which already knows where the user is. Use for "will it rain today", "do I need an umbrella", "what is it like outside", "how hot will it be", "what is the weekend looking like", "is it going to rain on the trip", "was it raining when we were in X", and for any…
Read the location archive before answering anything about where the user has been, when, for how long, how far, or who with. Use for "when was I in X", "how long were we in Y", "which cities last spring", "how many times have I been to Z", "what did I do on the 8th", "how far did I fly", "where do I live", and for any…