Keep the core on your device.
We plan to keep project files, notes and workspace settings on the user's machine. The core workspace should work without a mandatory cloud account.
DESKTOP ANALYSIS, UNDER YOUR CONTROL
EchisMonitor is an early-stage project for a customizable desktop analysis workspace. Bring your research, your tools and your own way of working.
Explore the projectPlanned forWindowsmacOSLinux
Compare the original sources. Keep observations separate from assumptions.
INTERFACE STUDY / NOT A RELEASED APPLICATION
01 / PRODUCT PRINCIPLES
Our focus is on independent researchers, OSINT learners and analysts working with public information or data they are authorized to use.
We plan to keep project files, notes and workspace settings on the user's machine. The core workspace should work without a mandatory cloud account.
Planned tool support includes utilities that work locally and optional connections using the user's own API credentials. Tool access and data sharing should be explicit.
We want users to organize panels and select the tools they need inside the application, with a clear separation between source material, results and analyst notes.
02 / INTENDED WORKFLOW
The proposed desktop workspace would bring the steps of a research task together, while keeping the analyst responsible for interpreting the results.
Organize research files and notes in a workspace that belongs to you.
Choose a local utility or a configured provider for a specific, authorized task.
Compare outputs with the source material and keep your conclusions visible alongside your notes.
Local storage and online tools have different boundaries. The planned core keeps project data on the device. An optional online tool may send selected inputs to its provider; we intend to make those connections visible and controlled by the user.
03 / DEVELOPMENT
EchisMonitor is a student-led project currently in the concept and design stage. There is no released desktop application yet.
Set the initial research use case, workspace structure, tool boundaries and desktop architecture.
Implement local project organization, a configurable interface and a small set of useful tools.
Review permission handling and packaging, then validate the application on Windows, macOS and Linux.
We plan to use Claude and Claude Code for architecture feedback, implementation, interface iteration, testing and defensive review of our own code and dependencies. External AI services are intended for development work; they are not a mandatory connection for the proposed desktop workspace.
We are considering an open-source core. The repository, license and release model have not been finalized. The first priority is a focused, usable prototype with clear control over tools and data.
This page introduces the current direction. Prototype notes and release information will be added as development progresses.