Who should use GUARD-RAG?

GUARD-RAG is an open-source project built for developers and privacy-focused users.

Does GUARD-RAG have a free plan?

Yes — GUARD-RAG is open source under the MIT license and free to use.

What platforms does GUARD-RAG run on?

GUARD-RAG runs on the web and the command line. It can also be self-hosted.

Is GUARD-RAG still maintained?

The GitHub repository shows 34 commits in the last 90 days.

What are alternatives to GUARD-RAG?

Similar projects tracked by PulseGate include zettabrain-rag, ragbits-guardrails, and guardrails-enterprise.

Is GUARD-RAG open source?

Yes — GUARD-RAG is open source under the MIT license, developed on GitHub.

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GUARD-RAG

github.comInfrastructure

Privacy-first, fully offline AI document assistant secured by tiered safety guardrails

Open SourceMITWebCLISelf-hosted

Visit github.com

Overview

5 features

GUARD-RAG is a RAG, search & retrieval project. It focuses on enabling secure, private AI-powered document question answering without relying on cloud services. GUARD-RAG is an open-source project aimed at developers and privacy-focused users. The project is open source (MIT). It runs on the web and the command line, and it can be self-hosted.

GUARD-RAG first shipped in 2026. The project is developed in the open on GitHub with 34 commits in the last 90 days. Key capabilities include Offline AI assistant, Document QA, and privacy-first.

Offline AI assistant
Document QA
Privacy-first
Tiered safety guardrails
MIT licensed

Built with & integrations

Framework

FastAPI

AI providers

local_oss

Runs on

BrowserCLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed16 Jun · 00:25 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about GUARD-RAG

What does GUARD-RAG do?: GUARD-RAG focuses on enabling secure, private AI-powered document question answering without relying on cloud services. It is catalogued under RAG, search & retrieval on PulseGate.
Who should use GUARD-RAG?: GUARD-RAG is an open-source project built for developers and privacy-focused users.
Does GUARD-RAG have a free plan?: Yes — GUARD-RAG is open source under the MIT license and free to use.
What platforms does GUARD-RAG run on?: GUARD-RAG runs on the web and the command line. It can also be self-hosted.
Is GUARD-RAG still maintained?: The GitHub repository shows 34 commits in the last 90 days.
What are alternatives to GUARD-RAG?: Similar projects tracked by PulseGate include zettabrain-rag, ragbits-guardrails, and guardrails-enterprise.zettabrain-rag ragbits-guardrails guardrails-enterprise
When did GUARD-RAG launch?: GUARD-RAG first shipped in 2026.
Is GUARD-RAG open source?: Yes — GUARD-RAG is open source under the MIT license, developed on GitHub.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: developers and privacy-focused users
Model: Open source
Solves: Enabling secure, private AI-powered document question answering without relying on cloud services.

Registered as

GitHub: sowmiyan-s/GUARD-RAG
PyPI: guard-rag

Developer

Sowmiyans

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 16 May 2026
Commits 90d: 34
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Indexed: 16 Jun 2026
Lifecycle: Alive
Last seen: 16 Jun 2026

Identity audit (12)

Slug: guard-rag-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 16 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by the 2026 taxonomy migration.
Summary from: Taken from the package registry entry.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/sowmiyan-s/GUARD-RAG

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