FilePilot AI – local-first desktop file manager with optional AI summaries
FilePilot AI is a local-first desktop file manager that scans, indexes, searches, deduplicates, summarizes, and organizes files on your local storage. It supports local AI models or cloud AI providers for summarization, keeping your files on your machine by default.
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Key points
- Local-first design: files stay on your machine unless you opt for cloud AI summarization.
- Features smart scanning, full-text search, duplicate cleanup, and safe organization.
- Integrates AI summarization with both local and cloud provider support.
- Provides a desktop GUI and CLI tool, cross-platform support.
Why it matters
This matters because local-first design: files stay on your machine unless you opt for cloud AI summarization.
Technical impact
May affect model selection, inference cost, product capability, and evaluation benchmarks.
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filepilot
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tests
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.gitignore
.gitignore
CHANGELOG.md
CHANGELOG.md
CONTRIBUTING.md
CONTRIBUTING.md
FilePilot.spec
FilePilot.spec
LICENSE
LICENSE
README.md
README.md
RELEASING.md
RELEASING.md
check_syntax.py
check_syntax.py
pyproject.toml
pyproject.toml
read_files.py
read_files.py
requirements.txt
requirements.txt
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A local-first AI file manager for scanning, searching, deduplicating, summarizing, and organizing your files.
Version 0.4.1
Overview
FilePilot AI is a local-first desktop file manager that helps you inspect, index, search, deduplicate, summarize, and organize your local storage — all through a preview-first workflow.
Your files stay on your machine unless you explicitly choose a cloud AI provider for summarization.
Demo
Highlights
Smart scanning
Recursive directory scanning with depth controls
File type, category, MIME, and hash detection
Rich metadata: size, date, dimensions, duration
Respects hidden-file and .gitignore filters
Fast local search
Whoosh-powered full-text index
Keyword, fuzzy, and boolean queries
Filter by type, date range, and file size
Export results to CSV
AI summaries
Built-in extractors for PDF, Markdown, code, images, DOCX, XLSX, and PPTX
Local (Ollama, llama.cpp) or cloud AI providers (OpenAI, Anthropic)
Batch summary workflow for multi-file processing
Pluggable provider interface with unified API
Duplicate cleanup
Size-bucket grouping for first pass
Fast partial-hash pre-filter
Full SHA-256 content verification
Safe deletion via system Recycle Bin (send2trash)
Safe organization
Organize by file type, date, extension, or size range
Custom rename templates with variables
Preview changes before applying
Undo-log support for rollback
Desktop workflow
Native PySide6 desktop interface
Light and dark theme support
System tray integration with background file watcher
Toast notifications and 18 UI languages
Screenshots
Browse Search
Organize Duplicates
AI Summary Index
Quick Start
Requirements
Python 3.10 or newer
Windows, macOS, or Linux
Optional: Ollama, llama.cpp, or LM Studio for local AI
Optional: OpenAI, Anthropic, or any OpenAI-compatible endpoint for cloud AI
Install and Run
git clone https://github.com/cuiheng511/filepilot-ai.git cd filepilot-ai
python -m venv .venv
Windows
.venv\Scripts\activate
macOS / Linux
source .venv/bin/activate
pip install -r requirements.txt python -m filepilot.main
Development Setup
pip install -e ".[test,dev]" pytest ruff check . ruff format --check . mypy
CLI Examples
Scan a folder
python -m filepilot.cli scan ~/Documents
Find duplicate files
python -m filepilot.cli duplicates ~/Downloads
Export an inventory report
python -m filepilot.cli export ~/Projects --format csv -o report.csv
Analyze disk usage
python -m filepilot.cli disk-usage ~/
Search indexed files
python -m filepilot.cli search ~/Documents "machine learning"
Preview an organization plan before moving anything
python -m filepilot.cli organize ~/Downloads ~/Sorted --dry-run --rules category date
AI Providers
FilePilot AI supports both local and cloud AI providers through a unified interface. See docs/AI-PROVIDERS.md for setup guides, configuration reference, and privacy details for each provider.
Provider Mode Default URL
Ollama Local http://localhost:11434
llama.cpp / vLLM Local http://localhost:8080
LM Studio Local http://localhost:1234
OpenAI Cloud https://api.openai.com/v1
Anthropic Cloud https://api.anthropic.com
Custom endpoint Cloud / Local User-defined
Cloud providers only receive the content you choose to summarize. Local scanning, indexing, organization, and duplicate detection do not require AI.
Project Structure
filepilot-ai/ |-- filepilot/ | |-- ai/ # AI providers and summarization | |-- core/ # Scanner, indexer, organizer, duplicates, watcher | |-- extractors/ # PDF, Markdown, code, image, DOCX, XLSX, PPTX | |-- resources/ # Application icons | |-- styles/ # Theme manager and QSS themes | |-- ui/ # PySide6 panels, tray, settings, notifications | |-- app.py # Application bootstrap | |-- cli.py # Command-line interface | |-- i18n.py # Translation catalog | `-- main.py # GUI entry point |-- tests/ # Unit and UI tests |-- scripts/ # Build scripts (Windows/macOS/Linux installers) |-- .github/workflows/ # CI pipeline (3-platform builds) |-- FilePilot.spec # PyInstaller build config (Windows) |-- pyproject.toml # Package metadata and tooling `-- requirements.txt # Runtime dependencies
Architecture
flowchart LR UI["PySide6 UI"] --> Core["Core services"] CLI["CLI"] --> Core Core --> Scanner["File scanner"] Core --> Indexer["Whoosh indexer"] Core --> Duplicates["Duplicate finder"] Core --> Organizer["Organizer"] Core --> Watcher["Directory watcher"] Scanner --> Extractors["Content extractors"] Extractors --> Summarizer["AI summarizer"] Summarizer --> Providers["Local and cloud AI providers"] Duplicates --> send2trash["send2trash"] send2trash --> RecycleBin["System Recycle Bin (safe deletion)"]
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Security and Privacy
Area Design
Local-first workflow File scanning, indexing, duplicate detection, and organization run locally
Optional AI Summarization can use local models or explicit cloud providers
Key storage API keys use OS keyring when available, with encrypted fallback storage
Deletion safety Duplicate removal uses the system recycle bin through send2trash
Telemetry No analytics, tracking, or background phone-home behavior
Quality Gates
The CI pipeline runs:
pytest — unit and UI tests
ruff check . — linting
ruff format --check . — formatting
mypy — static type checking
pip check — dependency consistency
Run the same checks locally before pushing.
Build (Cross-Platform)
FilePilot AI is packaged with PyInstaller on all three platforms. See docs/BUILD.md for complete build instructions, prerequisites, and troubleshooting.
Quick build (auto-detect platform)
./scripts/build.sh
CI Pipeline
The GitHub Actions workflow (.github/workflows/ci.yml) automatically builds all three platforms:
Job Platform Runner Artifact Retention
build-windows Windows windows-latest .exe installer 30 days
build-linux Linux ubuntu-latest .AppImage 30 days
build-macos macOS macos-latest .dmg 30 days
Each CI run produces SHA256 checksums alongside the artifacts.
Auto-Update
FilePilot AI includes a threaded auto-update checker that queries GitHub Releases for new versions. See docs/AUTO-UPDATE.md for the full API reference and configuration details.
Background check every 24 hours (1 hour on failure)
Results cached to ~/.filepilot/update_check_cache.json
Fully thread-safe — runs in a daemon thread
Documentation
Guide Description
docs/BUILD.md Cross-platform build and packaging guide
docs/AI-PROVIDERS.md AI provider setup and configuration
docs/AUTO-UPDATE.md Auto-update system API reference
See docs/README.md for the full documentation index.
Roadmap
Application screenshots and demo GIFs
Summary cache with invalidation
Large-folder indexing performance tuning
More organization templates
More end-to-end packaging tests
Contributing
Contributions are welcome. See CONTRIBUTING.md for environment setup, style rules, and pull request guidance.
License
FilePilot AI is released under the MIT License.
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🚀 Smart File Management Tool — AI-powered file scanning, search, deduplication, and automatic organization
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