Skip to content
Back to the index

graph-me

PyPIInfrastructure

PulseGate's liveness check found it on 1 Oct 2026; it is registered on PyPI and has been in the index since 1 Oct 2026. How this is checked

graph-me is an MIT-licensed local tool that turns personal data such as files, mail, and WhatsApp messages into a knowledge graph. It provides locally managed context that AI agents can retrieve through MCP.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

6 features

Purpose: Making personal files and messages searchable as connected context for AI agents.

Inferred · not functionally tested

Audience: developers and privacy-conscious AI agent users

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

In the RAG, search & retrieval space, graph-me takes a focused approach. Inferred · not functionally tested: It focuses on making personal files and messages searchable as connected context for AI agents. Inferred · not functionally tested: graph-me is an open-source project aimed at developers and privacy-conscious AI agent users. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

graph-me first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are knowledge graph, local data processing, and file ingestion. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Knowledge graph
  • Local data processing
  • File ingestion
  • Mail ingestion
  • WhatsApp ingestion
  • MCP support

Topics: Inferred · not functionally tested

Tags
personal-knowledge-graphlocal-first-aimcp-serverprivate-data-retrieval
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed1 Oct · 09:59 UTC
    graph-me seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about graph-me

What is graph-me?
Inferred · not functionally tested: Graph-me focuses on making personal files and messages searchable as connected context for AI agents. It is catalogued under RAG, search & retrieval on PulseGate.
Who is graph-me for?
Inferred · not functionally tested: graph-me is an open-source project built for developers and privacy-conscious AI agent users.
Does graph-me have a free plan?
Basis unknown · not verified: Yes — graph-me is open source under the MIT license and free to use.
What platforms does graph-me run on?
Basis unknown · not verified: graph-me runs on the command line. It can also be self-hosted.
Is graph-me still active?
PulseGate's liveness check found it on 1 Oct 2026.
What are alternatives to graph-me?
Similar projects tracked by PulseGate include graphkeeper-cli, Graphenedata, and ai-graphx.graphkeeper-cliGraphenedataai-graphx
How long has graph-me been around?
graph-me first shipped in 2026.
Is graph-me open source?
Basis unknown · not verified: Yes — graph-me is open source under the MIT license.

Similar projects

Closest matches by what these projects do