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CrowForge

A local-first AI workspace — Chat, Documents, Sheets, and Benchmarking — running entirely on your machine. No cloud, no telemetry, no subscriptions.

Bring your own model: connect a local GGUF file, any OpenAI-compatible API (OpenAI, Ollama, LM Studio, etc.), or download a free model directly from the built-in gallery.

Built with Tauri v2 · React 19 / TypeScript · Python FastAPI · SQLite

🚧 Early Access — CrowForge is actively being developed. Things may break, features are still being added, and the project is evolving fast. Feedback, issues, and contributions are very welcome!


📺 Demo


📸 Screenshots

AI Agent & Documents

Documents — AI suggestions panel


Documents — rich text editor with outline

Chat & AI Sheets

Chat — document context mode


Sheets — spreadsheet with AI fill

Model Gallery & Benchmarking

Benchmark — multi-model comparison


Settings — free GGUF model gallery


What's new in v0.2

  • AI Agent — ReAct-style agent that can autonomously read/write sheets and documents.
  • Image Support — Insert images from disk directly into your documents.
  • Document Search — Full-text search across your local knowledge base.
  • AI Row Generation — Generate entire sets of sheet rows from a simple description.
  • Data Privacy — One-click data deletion and backend management.

Core Features

💬 Chat

  • Multi-session history with persistent local storage.
  • Context modes: General, Writing, Coding, Analysis, Brainstorm.
  • Document-aware Q&A: Attach your docs as context.
  • Attach files (PDF, TXT, DOCX) directly to messages.

📄 Documents

  • Rich text editor with advanced AI writing tools (Rewrite, Summarise, Expand).
  • AI Suggestions: Generate paragraphs, headings, and quotes in one click.
  • Export to PDF, DOCX, or Markdown.

📊 Sheets

  • Powerful local spreadsheet with unlimited rows/columns.
  • AI Fill & Generate: Describe what you want, and the AI builds the data.
  • Built-in templates for CRM, Task Lists, Budgets, and more.
  • Export to XLSX or CSV.

📈 Benchmark

  • Compare multiple models side-by-side with the same prompt.
  • Real-time latency, token count, and output comparison.
  • Save and reload past benchmark sessions.

🛠 Technical Information

For detailed instructions on how to set up and build the project, or to understand its internal architecture, please refer to the following documents:


Credits

Made by Lubomir Timko (sanchez.sk), with AI assistance from Claude (Anthropic).


License

MIT — see LICENSE for details.

About

A local-first Windows desktop app for using AI model for everyday tasks. Free, Local and safe!

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