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halal-graphify

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 3 Aug 2026. How this is checked

halal-graphify is a Python package and AI coding assistant skill that transforms any folder containing code, documents, papers, images, or videos into a queryable knowledge graph. It supports tools like Claude Code, Cursor, Aider, and others by enabling advanced retrieval-augmented generation (RAG) and community detection. Licensed under Apache-2.0, it is available on PyPI and GitHub.

Inferred · not functionally tested

Open SourceApache-2.0CLI
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Overview

5 features

Purpose: Converting large collections of mixed content into structured, queryable knowledge graphs for AI coding tools.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

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

halal-graphify sits in PulseGate's RAG, search & retrieval category. Inferred · not functionally tested: It focuses on converting large collections of mixed content into structured, queryable knowledge graphs for AI coding tools. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: halal-graphify is available on the command line.

Omar1001 builds and maintains halal-graphify, and it first shipped in 2026. The project is developed in the open on GitHub with 9 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Knowledge Graph, RAG, and graphRAG.

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

Tasks: Inferred · not functionally tested

  • Knowledge Graph
  • RAG
  • GraphRAG
  • Code Analysis
  • Multimodal Ingestion

Topics: Inferred · not functionally tested

Tags
knowledge-graphgraphragai-coding-toolrag-pipeline
AI capabilities
TextCodeMultimodal
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropicopenailocal_ossmultiple
Runs on
CLI

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 22:46 UTC
    halal-graphify seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about halal-graphify

What is halal-graphify?
Inferred · not functionally tested: Halal-graphify focuses on converting large collections of mixed content into structured, queryable knowledge graphs for AI coding tools. It is catalogued under RAG, search & retrieval on PulseGate.
Who should use halal-graphify?
Inferred · not functionally tested: halal-graphify is an open-source project built for developers.
Is halal-graphify free?
Basis unknown · not verified: Yes — halal-graphify is open source under the Apache-2.0 license and free to use.
What platforms does halal-graphify run on?
Basis unknown · not verified: halal-graphify runs on the command line.
Is halal-graphify still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 9 commits in the last 90 days.
What are alternatives to halal-graphify?
Similar projects tracked by PulseGate include Graphify, graphifyy, and anytechie-graphify.Graphifygraphifyyanytechie-graphify
Who makes halal-graphify?
halal-graphify is developed by Omar1001.
When did halal-graphify launch?
halal-graphify first shipped in 2026.

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