EklypseAI
EklypseAI is an open-source, local-first multimodal AI platform — similar in spirit to LM Studio, but designed as a more powerful, extensible, and educationally focused system.
It supports text, image, audio, and video generation, includes a built-in coding IDE, and provides tools for classroom and study workflows, such as live transcription, automatic bullet-point notes, and audio recording for later review.
EklypseAI is currently under active development.
What EklypseAI Is
EklypseAI aims to be a single environment for interacting with AI across modalities, without vendor lock-in and without fragmenting workflows across multiple apps.
Core goals:
Run open and local models
Support multimodal generation in one interface
Provide developer-grade tooling, not just chat
Integrate learning and productivity features directly into the platform
In short: A local AI workstation, not just a model launcher.
Core Features (Planned & In Development) Multimodal Generation
Text generation (LLMs)
Image generation
Audio generation and transcription
Video generation (experimental / long-term)
Built-in IDE
Integrated code editor
AI-assisted coding and explanation
Designed for real development workflows
Education & Classes Workflow
Live audio transcription during classes
Automatic bullet-point note generation
Full session recording exported as .wav
Optimized for studying and later review
Tech Stack Languages
Python — orchestration, high-level logic, AI workflows
Rust — performance-critical components and IPC-friendly services
Dart + Flutter — cross-platform desktop UI (UI design still evolving)
Backend
Model inference engines (local or hybrid)
Engine-agnostic architecture
Focus on modularity and swap-ability
Audio Pipeline
.wav-based audio handling
Dual-direction audio pipelines:
Input: recording & transcription
Output: synthesis & playback
IPC-based communication between audio services and core backend
UI
Flutter desktop application
Final UI/UX design still TBD
Desktop-first, productivity-oriented
Engines & Models
EklypseAI is model-agnostic by design.
Planned support includes:
Text
Local LLM inference engines
Open-weight transformer models
Image
Diffusion-based generation
Local execution where feasible
Audio
Speech-to-text (ASR)
Text-to-speech (TTS)
Recording and export in .wav format
Video
Experimental
Long-term research direction
Specific model choices may change as development progresses.
Project Status
🚧 Early development
🧪 Architecture actively evolving
This repository reflects an experimental but intentional system, not a finished product.
Philosophy
EklypseAI exists because:
AI tools should be local, inspectable, and open
Multimodal systems should feel unified, not stitched together
Learning and creation should happen inside the same environment
Users should control the stack, not the other way around
This project is about building upward, not shipping fast demos.
Eklypse AI is licensed under the MIT license.