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u/Green_Specialist114

r/GeminiJailbreak r/Bard r/GoogleGeminiAI r/AI_Agents
▲ 1 r/AI_Agents

[Open Source] I built a Zero-Knowledge AI Agent. It analyzes your local Excel/DBs without ever uploading your raw data to the cloud.

Privacy is a huge issue for AI data analysis. You can't just upload sensitive Excel sheets to a cloud LLM. I built an open-source desktop client called DWN.Bridge to solve this.

📹 In the video: When I drop an Excel file, the local client parses the headers/types and sends ONLY the schema to the LLM. The LLM generates the SQL logic, and my client executes it locally. You get full data analysis, but the raw data never leaves your hard drive.

And since it bridges to your web session, you pay nothing in API costs.

If anyone interested, in the comments I'll put link to a short video and github

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u/Green_Specialist114 — 10 days ago
▲ 5 r/GeminiJailbreak+2 crossposts

[Open Source] I built a desktop AI agent framework for Gemini Web that builds software, analyzes local DBs... without paying a single cent in API costs. (Demos inside)

Hey everyone, MarckDWN here.

I’m an indie developer, and like many of you, I love Agentic AI. But let's be honest: it's incredibly expensive. If you want an agent to autonomously iterate on code, fix its own bugs, or analyze database schemas, you are going to burn through millions of tokens in a single afternoon. The API bills get out of hand instantly.

I wanted the power of autonomous AI agents without the massive API costs, so I spent my nights building DWN.Bridge: an open-source, native Windows desktop client that acts as a local workspace bridge. Instead of relying on expensive APIs, it securely hooks into your existing Gemini Web session. You get full agentic features (tool calling, local file system access, SQL querying) for exactly $0 in API costs.

I've just finished recording two demos to show what it can do for free:

🎥 Demo 1: The Privacy-First & Zero-Cost Data Analyst  https://youtu.be/4EK2_tvy_GQ I dropped an Excel file into my workspace and asked the SQL Agent to do some data analysis. Since it runs through the bridge, the raw data is NEVER sent to the cloud (saving privacy and millions of tokens). The LLM only sees the schema, generates the SQL logic, and my local client executes it, chains extractions, and visualizes the results.

🎥 Demo 2: The Autonomous C# Coder https://youtu.be/X0VprcUYlyM I asked the Coder Agent to build a Snake game, and then upgrade it to Tetris in WPF. Because there are no API costs to worry about, the agent can freely iterate, create files, write code, and interact with my local workspace until the app works perfectly, without me ever copy-pasting from a browser.

How it works (under the hood): The app uses a WebView/Playwright bridge to communicate with the web UI. It supports multiple specialized agents (you can create your own with custom prompts) and local tools (like C# execution, SQL querying, etc.).

It's 100% Open Source & Indie As an indie dev, I built this to solve my own workflow problems, but I decided to make it completely Open Source. I'm looking for early testers, contributors, or just honest feedback from this community! Join me and a bunch of other friend testers to discover the possibility of Agent Bridging to ChatBots ;-)

Get the APP (WIndows) here : https://www.dwnbridge.org/

Youtube playlist : https://www.youtube.com/playlist?list=PLNKhH2dq4nIs

🔗 GitHub Repo: https://github.com/MarckDWN/DWN.BRIDGE 
💬 Join the Discord / Mailing list: https://discord.gg/45W4KDue8a

Would love to hear your thoughts on the architecture, the zero-cost approach, and what use cases you would build with it!

u/Green_Specialist114 — 11 days ago