Solid-CLI: A Privacy-Preserving Agent for the Decentralized Web

"The Web of data with meaning... allowing a computer program to learn enough about what the data means to process it." — Tim Berners-Lee

Solid-CLI is a command-line interface for Decentralized Personal Data Stores (Solid Pods). It implements N3Logic Client-Side Reasoning based on the foundational work of Berners-Lee et al. (0711.1533) and Privacy-Preserving Computation principles established by Zhao/Oxford (2309.16365).

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Performance: Real Benchmark Results

Actual test: 62 files (3.03 MB) synced using parallel async I/O with bounded semaphores.

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Live Demonstration

Real file synchronization showing the tool scanning directories, uploading files, and generating provenance metadata.

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State of the Art Features

• N3Logic Reasoning Engine: Implements forward-chaining inference based on Berners-Lee et al. (0711.1533) and the W3C N3Logic framework.
• Universal FUSE Mount: Interoperable file access for virtual assets as proposed for the Open Metaverse by Macario et al. (2404.05317, 2408.13520).
• Privacy-Preserving Computation: Local execution model following the Libertas framework (Zhao et al., 2023) to prevent data leakage in decentralized stores.
• Verifiable Audit: Cryptographic integrity reports leveraging the Issuer-Holder-Verifier model (2201.07034) and PROV-O provenance tracking.
• Knowledge Graph Generation: Automated extraction of RDF metadata to power Semantic Search Engines (1102.0695).
• Parallel Async I/O: High-performance "Turbo" sync achieving a 6x speedup via bounded semaphore architecture.

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Quick Start

Docker (Zero Dependency)

docker run --rm -it cafeTechne/solid-cli sync ./data https://my.pod/data

Performance & Benchmarks

solid-cli provides a 6x speedup over traditional linear sync tools by utilizing asynchronous semaphores for parallel network saturation.

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Command Line Interface

Installation (Python 3.11+)

pip install solid-cli
solid login
solid mount S: https://my.pod/

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Documentation

• Submission Statement: DEV.to submission content and challenge statement
• Works Cited: Research papers backing this implementation
• Technical Debt: Production roadmap and architectural audit

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Technical Details

Test Coverage (86% overall)

• Core Logic (100% tested):
  • reasoner.py: N3Logic inference engine
  • auth.py: OIDC authentication
  • client.py: HTTP client with retry logic
• Well-tested (85-95%):
  • sync.py: Parallel async upload/download
  • verify.py: Integrity checking and audit reports
  • mount.py: FUSE filesystem driver (89%)
• Partially tested (70-85%):
  • tui.py: Textual dashboard (platform-specific UI interactions)
  • main.py: CLI entry points (some error paths untested)

Untested areas: OS-specific error handling (e.g., WinFsp not installed), edge cases in interactive TUI prompts.

Test Suite

• Tests: 166 passed, 1 skipped
• License: MIT
• Repository: cafeTechne/solid-cli

Built with GitHub Copilot CLI as a pair programmer.