people-context

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SUMMARY

Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.

README.md

people-context

Your agent already remembers your codebase. Now it can remember your people.

people-context is a local-first MCP server and CLI that gives AI agents
durable memory about the people in your life: who someone is, how you know them, what you last agreed, and how
they like to be talked to. One SQLite file on your machine. No account, no cloud, no network calls.

CI
codecov
OpenSSF Scorecard
OpenSSF Best Practices
PyPI
PyPI downloads
Python
License

pctx demo: seed a fictional dataset, list people, and print a brief

Why

Ask an assistant "how should I approach Priya about the reporting delay?" and it has nothing: it does not know
which Priya, that she is your counterpart at a partner org, that you agreed a new deadline last week, or that she
prefers a short email over a call. That knowledge lives in your head, your inbox, and a notes file the agent
cannot see.

people-context keeps it in one place the agent can query through narrow tools:

  • Who is this? Explainable name resolution over names, nicknames, aliases, and handles. Two Priyas come back
    as two candidates with a match reason, never a silent guess.
  • What do I know? Relationships, organisations and roles, durable facts, concise interaction summaries,
    traits, reminders, and a per-person timeline, each disclosed only as far as the request needs.
  • How do I talk to them? Communication guidance grounded in recorded traits, past friction, open follow-ups,
    and your own written philosophy.
  • Who has gone quiet? Stale-relationship and upcoming-date reports over what is already stored.
  • Get data in safely. Email, mbox, vCard, calendar, LinkedIn, Outlook, and WhatsApp exports are staged as
    reviewable candidates. You approve what gets recorded; raw source content is never kept.

It is opinionated about trust: writes are audited, forget is a real delete, sensitive records sit behind an
operator-only gate that a prompt cannot open, and ordinary commands never touch the network.

Demo

A packaged fictional dataset is the fastest way to see identity resolution, graph traversal, and bounded
context without touching real data:

uvx --from people-context pctx demo --reset

The demo always writes its own dedicated database at
{XDG_DATA_HOME or ~/.local/share}/people-context/demo.db. It ignores --db, PEOPLE_CONTEXT_DB, the config
file, and workspace discovery, and --reset replaces only that file plus its -wal/-shm companions, so a
real database is never read or modified. Seeding writes audited fictional people, handles, affiliations, facts,
interactions, and a connected relationship graph, then prints the path-targeted server command and concrete
tool calls that use the ids it just created:

Demo database: /home/you/.local/share/people-context/demo.db
Start MCP server: people-context-mcp --db /home/you/.local/share/people-context/demo.db
resolve_person {"query": "Amina Hassan"}
get_relationship_graph {"person_id": "<amina-id>", "depth": 2}
find_connection {"person_a": "<self-id>", "person_b": "<sofia-id>"}

Person ids are generated per seed, so the printed values differ from the placeholders above. Start the printed
server command in an MCP client and run the printed calls verbatim. See
docs/cli.md.

Quick start

Requires Python 3.11+ and uv. Pick your client; each is one step.

Claude Code
claude plugin marketplace add JinyangWang27/people-context
claude plugin install people-context@people-context-plugins

Restart Claude Code or run /reload-plugins. You get the server plus /people-context:who,
/people-context:remember, and /people-context:reminders. Details: docs/claude-code-plugin.md.

Claude Desktop

Download people-context.mcpb from the
latest release and open it. Claude Desktop
installs the pinned release with its own uv runtime. Details: docs/desktop-and-editors.md.

Codex
codex plugin marketplace add JinyangWang27/people-context
codex plugin add people-context@people-context-plugins

Start a new Codex session. Details: docs/codex-plugin.md.

Cursor, Windsurf, VS Code, or any MCP client

Add the stdio server to your client's MCP config (.cursor/mcp.json, ~/.codeium/windsurf/mcp_config.json,
.vscode/mcp.json, ...):

{
  "mcpServers": {
    "people-context": {
      "command": "uvx",
      "args": ["--from", "people-context", "people-context"]
    }
  }
}

Or let the CLI write it: uvx --from people-context pctx setup cursor (also windsurf, vscode,
claude-desktop; add --dry-run to preview). VS Code uses a servers key with "type": "stdio". Per-editor
snippets: docs/desktop-and-editors.md.

OpenClaw
openclaw plugins install clawhub:openclaw-plugin-people-context

The native plugin talks to the opt-in loopback HTTP server. Details: docs/openclaw-plugin.md.

CLI only
uv tool install people-context
pctx init        # seed your own record, optionally import a vCard, then connect a client
pctx --help

people-context and people-context-mcp are the server commands; pctx is the human-operated CLI.

Then try, in your agent:

Who is Amina?

Remember that Amina from Open City Lab prefers short emails and hates surprise calls.

What should I know before my meeting with Daniel tomorrow?

The second one is a single remember tool call: the name is resolved, the person is created only if nobody
matches, and the affiliation and preference are recorded in one audited transaction. Ambiguous names come back
as candidates, never a guess.

Or, without an agent: pctx remember "Amina Hassan" "prefers short emails" --org "Open City Lab" and
pctx brief "Amina Hassan". Five worked scenarios live in docs/use-cases.

What it remembers, and what it never does

It remembers It never does
Names, nicknames, aliases, and handles Upload anything, anywhere
Relationships with a canonical, extensible vocabulary Store raw imported emails, chats, or files
Organisations, roles, and time-bounded affiliations Let a model enable sensitive disclosure or full export
Durable facts, observations, and traits with evidence Commit imported or agent-extracted data without your review
Concise interaction summaries and a per-person timeline Log private values or keep a soft-deleted copy after forget
Reminders, follow-ups, and your communication philosophy Make a network request outside pctx reindex --semantic

How it compares

people-context Assistant memory (ChatGPT, Claude) Memory platforms (Mem0 and similar)
Where data lives One SQLite file you own Vendor account Vendor platform or your own deployment
Works offline Yes No Self-hosted only
Knows people as first-class records Identity, relationships, roles, graph, guidance Free-text notes Free-text or vector memories
Explains a match Ranked candidates with a reason; ambiguity is surfaced No Similarity score
Import review gate Stage, review, commit n/a Automatic extraction
Deletion Hard delete plus audit redaction in one transaction Request to vendor API delete
Backup and move pctx sync push / pull bundle n/a Deployment-specific

The dated, sourced version with vendor documentation links is in
docs/privacy-and-safety.md.

Security model

This project executes local Python with the launching user's filesystem permissions. Ordinary MCP discovery
excludes elevated sensitive context and full export. Operator-gated tools require process environment flags;
models cannot enable them through arguments. Vault export is intentionally CLI-only.

The database is plaintext SQLite by default. On Unix-like systems a new one is created 0600, so other local
accounts cannot read it. That is a boundary between accounts, not encryption, so pair it with full-disk
encryption or opt into SQLCipher at-rest encryption (uv sync --extra encrypted, key read only from
PEOPLE_CONTEXT_DB_KEY). See
database file permissions and
optional at-rest encryption.

Going further

  • Loopback HTTP for clients that cannot spawn stdio: people-context-mcp --http --host 127.0.0.1 --port 8765.
    Unauthenticated and local-only by design; prefer stdio. See docs/cli.md.
  • Semantic search: uv sync --extra semantic && pctx reindex --semantic downloads a pinned multilingual
    Model2Vec model once; server startup and search stay cache-only.
  • Obsidian: pctx export-vault --output ~/PeopleVault writes a deterministic, browsable vault, and a
    read-only Obsidian plugin renders live briefs. See docs/obsidian-plugin.md.
  • Import: pctx import stage SOURCE PATH then review and commit, over email, mbox, vCard, .ics,
    LinkedIn, Outlook, and WhatsApp exports. Agents can stage extracted candidates the same way. See
    docs/import.md.
  • Reports and maintenance: pctx stale, pctx upcoming, pctx timeline, pctx doctor, pctx stats.
  • Backup and second device: pctx sync push --output DIR and pctx sync pull --input PATH.
  • Docker: docker run --rm -i -v people-context-data:/data ghcr.io/jinyangwang27/people-context:latest.
    A convenience image, not a sandbox. See docs/docker.md.
  • Database location: --db, then PEOPLE_CONTEXT_DB, then the XDG config file, then an OpenClaw workspace,
    then the XDG data directory. Inspect with pctx db-path -v.

The full command reference is in docs/cli.md; the MCP tool inventory and response contracts are
in docs/mcp-interface.md; what stays stable across releases is in
docs/compatibility.md.

Architecture

The codebase follows ports and adapters:

adapters (SQLite, MCP, filesystem, imports, CLI)
        ↓ implement
ports (narrow Protocols)
        ↑ used by
app (use cases and policy)
        ↓ operates on
domain (entities and values)

Dependencies point inward. Vocabulary normalization and graph caps live in app/domain; recursive SQL and file
writing live in adapters. One composition root wires both stdio and HTTP. See
docs/architecture.md.

Documentation

Document Contents
docs/architecture.md Layering, dependency rule, entrypoint wiring
docs/data-model.md Schema, migrations, and perspective display_type
docs/relationship-graph.md Vocabulary, normalization, perspective, traversal, curation
docs/vault-export.md Layout, marker safety, determinism, sensitivity
docs/mcp-interface.md MCP tools and stable response contracts
docs/compatibility.md What stays stable across releases for MCP, DB, CLI, and JSON
docs/cli.md CLI commands and DB resolution
docs/import.md Import sources, staging, review, and commit
docs/design/sync.md Sync design and delivered local foundations
docs/releasing.md PyPI trusted publishing, Codecov, and release procedure
docs/mcp-registry.md MCP Registry namespace, server.json, and community-directory submission matrix
docs/distribution-checklist.md Account-owner walkthrough: Registry publish, directories, awesome lists, Desktop directory, Obsidian
docs/desktop-and-editors.md Native-UV MCPB Desktop bundle and Cursor/Windsurf/VS Code snippets
docs/docker.md Optional non-root stdio Docker image, data volume, and GHCR publishing
docs/claude-code-plugin.md Claude Code install, runtime, privacy, validation, and publishing
docs/codex-plugin.md Codex install, runtime, privacy, validation, and publishing
docs/openclaw-plugin.md OpenClaw install, runtime, privacy, validation, and ClawHub publishing
docs/obsidian-plugin.md Obsidian read-only panes, subprocess safety, encryption, and mirrored releases
docs/privacy-and-safety.md Disclosure, audit, forget, threat model
docs/use-cases Narrative recipes for onboarding, meeting prep, follow-up, migration, and auditing
docs/evals.md Evaluation harness, fixed tasks, scoring rules, and dated recorded results
docs/roadmap.md Delivered milestones and planned work
docs/specs One implementation spec per planned milestone
M25 coaching spec Planned communication coaching, practice, and reflection
M26 transcript review spec Planned review of split and mixed speaker attribution

Contributing

Issues and pull requests are welcome; see CONTRIBUTING.md for the architecture rules,
validation commands, and a list of good first issues. Questions and show-and-tell go to
Discussions.

If people-context is useful to you, a star helps other people find it.

License

MIT. See LICENSE.

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