Request for Community Hardware Grant for Open-Source ARIA

Spaces
1

Hi Hugging Face team,

I’m building ARIA (AI-Powered Repository Intelligence Agent), an open-source developer platform designed to help engineers understand, investigate, and safely modify unfamiliar software repositories.

Project

GitHub: GitHub - VarshithReddy2006/ARIA: AI-powered repository intelligence platform with semantic code analysis, knowledge graphs, Model Context Protocol (MCP) support, FastAPI, Astro, and a VS Code extension. · GitHub
License: MIT

ARIA combines static code intelligence, semantic retrieval, execution analysis, and AI-assisted investigation into a single developer workspace.

It currently provides:

  • Repository-wide AST analysis using Tree-sitter
  • Symbol indexing and code intelligence
  • Dependency and call graphs
  • Architecture intelligence
  • API surface and contract analysis
  • Semantic code retrieval and RAG
  • AI-assisted repository investigation
  • VS Code integration
  • MCP integration
  • Docker-based self-hosting

Why compute support is needed

ARIA’s analysis pipeline is significantly more computationally demanding than a typical web application.

For each repository, the system may perform:

Git acquisition → parsing → symbol extraction → graph construction → embedding generation → vector indexing → repository intelligence generation

The hosted service therefore needs enough CPU and memory to perform repository-wide analysis reliably while supporting concurrent developer requests.

The project is already containerized and designed to run as a production FastAPI service, so I am not requesting infrastructure for an experimental prototype. I am looking for compute support to provide a public, limited demonstration environment for an already-developed open-source project.

Why Hugging Face

I would like to host the public ARIA demonstration on Hugging Face Spaces because Hugging Face provides an excellent environment for making open-source AI developer tools accessible to the community.

At the moment, my account shows Docker Spaces as requiring a paid plan. As an independent student/open-source developer, I am trying to maintain ARIA without personally taking on recurring infrastructure costs.

I would therefore like to ask:

Would ARIA be eligible for a Hugging Face Community Hardware Grant or another form of open-source compute sponsorship that would allow me to run the existing Dockerized application on suitable CPU hardware?

I do not require a GPU specifically. CPU-based compute with sufficient memory for repository analysis would be enough.

Current project maturity

ARIA already includes:

  • Production-oriented Docker deployment
  • Concurrency-safe repository acquisition
  • Branch-isolated analysis targets
  • Bounded background analysis workers
  • Retrieval performance optimizations
  • Qdrant vector database integration
  • Gemini → DeepSeek provider failover
  • MCP API boundary
  • VS Code integration
  • Automated backend and frontend test suites
  • Self-hosted deployment support

The hosted instance would be intentionally constrained with limits on:

  • Repository size
  • Number of files analyzed
  • Concurrent analyses
  • Analyses per user
  • Chat usage
  • LLM token consumption
  • Maximum analysis duration

This would allow the hosted environment to remain a controlled community demonstration rather than an unrestricted public service.

Goal

My goal is to make ARIA useful to the open-source developer community while keeping the project completely self-hostable.

A community-supported Hugging Face deployment would allow developers to try ARIA immediately without installing the full analysis stack themselves, while the MIT-licensed repository would remain available for anyone who wants to run it independently.

Thank you for considering the project and for supporting open-source developers.

I would be grateful for any guidance on the appropriate Community Hardware Grant or sponsorship process.

Best regards,
Varshith Reddy

2

Hi @varshithreddy1807 if you haven’t already please feel free to apply for a community GPU grant :hugs: For more details, take a look at Using GPU Spaces · Hugging Face.

3

Thanks for pointing me to the Community GPU Grant!

I checked the current Spaces documentation and wanted to clarify my use case.

ARIA is an open-source repository intelligence platform:

The application is already fully Dockerized and uses CPU-based repository analysis (Tree-sitter parsing, graph construction, symbol indexing, embeddings, and Qdrant). I do not specifically need a GPU.

My account currently shows Docker Spaces as requiring a paid plan, so I cannot create the Docker-based Space needed to host the project without subscribing.

Would there be a way for an open-source project like ARIA to receive Community Hardware support for a CPU-based Docker Space, or to have the compute Space provisioned/enabled so that I can deploy the project?

A CPU Basic environment would be sufficient; I am not requesting expensive GPU hardware.

Thanks for your guidance!