Hey everyone,
For the past few months, I’ve been working on DAEX (Daedalus Execution Engine), an edge-optimized execution client built natively in Kotlin to run local LLMs and autonomous agents directly on Android hardware.
I just pushed it into closed alpha and I’m looking for a few builders to help me stress-test the pipeline, break the local state machine, and see how it holds up across different mobile chipsets.
The app currently features:
- @GoogleGemma models running on #LiteRT (NPU compatibility on select devices)
- Local Hybrid Rag for document search and cross conversational recall
- Local live voice feature (Similar to Gemini Live, but local!)
If you have an Android device (Android 8.0+, ideally with an NPU) and want to test the limits of local on-device agent inference, I'd love your feedback on token generation speeds and pipeline stability.
Repo: https://t.co/zwDWfHpoYw
Join the Closed Alpha here: https://t.co/bnFL7tjR3j
#Gemma4 #Gemma #Android #localAI
Introducing DAEX (Daedalus Execution Engine) — a native Kotlin Android app that runs local LLMs + autonomous agents fully on-device. No cloud. No web wrappers.
Pure offline privacy and speed.
Built with:
• LiteRT + Gemma models (Vulkan GPU / NPU delegation)
• Local hybrid RAG + memory
• Offline voice pipeline
• Sandboxed tools + visible reasoning
Just shipped closed alpha — looking for Android builders to stress-test on real hardware (Android 8.0+, NPU preferred) and give feedback on token speeds/stability.
New Discord for testing + on-device AI chats (LiteRT tips, agents, edge perf, etc.): https://t.co/sC8iAFqqxE
Repo: https://t.co/zwDWfHpoYw
Google Group alpha access: https://t.co/bnFL7tjR3j
Who wants to run local agents in their pocket? Drop your device/chipset 👇
#OnDeviceAI #LiteRT #Gemma #AndroidDev #LocalLLM @googlegemma
Introducing DAEX (Daedalus Execution Engine) — a native Kotlin Android app that runs local LLMs + autonomous agents fully on-device. No cloud. No web wrappers.
Pure offline privacy and speed.
Built with:
• LiteRT + Gemma models (Vulkan GPU / NPU delegation)
• Local hybrid RAG + memory
• Offline voice pipeline
• Sandboxed tools + visible reasoning
Just shipped closed alpha — looking for Android builders to stress-test on real hardware (Android 8.0+, NPU preferred) and give feedback on token speeds/stability.
New Discord for testing + on-device AI chats (LiteRT tips, agents, edge perf, etc.): https://t.co/sC8iAFqqxE
Repo: https://t.co/zwDWfHpoYw
Google Group alpha access: https://t.co/bnFL7tjR3j
Who wants to run local agents in their pocket? Drop your device/chipset 👇
#OnDeviceAI #LiteRT #Gemma #AndroidDev #LocalLLM @googlegemma
Repo (open source): https://t.co/zwDWfHpoYw Join the closed alpha (Google Group first → Play Store whitelist): https://t.co/bnFL7tjR3j Who’s in? Reply with your device/chipset if you want early access. First testers will help shape the roadmap.#LocalAI#OnDeviceAI#AndroidDev #Gemma #LiteRT
cc @GoogleDevs
Just shipped the closed alpha of DAEX (Daedalus Execution Engine) — a native Kotlin execution client built from the ground up to run local LLMs + autonomous agents directly on Android hardware.
No web wrappers. No cloud. Full offline autonomy with visible reasoning.
cc
@googlegemma
I’m looking for a small group of Android builders to stress-test the pipeline, break the local state machine, and give feedback on token speeds + stability across different chipsets (Android 8.0+, ideally with NPU).
Hey everyone,
For the past few months, I’ve been working on DAEX (Daedalus Execution Engine), an edge-optimized execution client built natively in Kotlin to run local LLMs and autonomous agents directly on Android hardware.
I just pushed it into closed alpha and I’m looking for a few builders to help me stress-test the pipeline, break the local state machine, and see how it holds up across different mobile chipsets.
The app currently features:
- @GoogleGemma models running on #LiteRT (NPU compatibility on select devices)
- Local Hybrid Rag for document search and cross conversational recall
- Local live voice feature (Similar to Gemini Live, but local!)
If you have an Android device (Android 8.0+, ideally with an NPU) and want to test the limits of local on-device agent inference, I'd love your feedback on token generation speeds and pipeline stability.
Repo: https://t.co/zwDWfHpoYw
Join the Closed Alpha here: https://t.co/bnFL7tjR3j
#Gemma4 #Gemma #Android #localAI
Hey everyone,
For the past few months, I’ve been working on DAEX (Daedalus Execution Engine), an edge-optimized execution client built natively in Kotlin to run local LLMs and autonomous agents directly on Android hardware.
I just pushed it into closed alpha and I’m looking for a few builders to help me stress-test the pipeline, break the local state machine, and see how it holds up across different mobile chipsets.
The app currently features:
- @GoogleGemma models running on #LiteRT (NPU compatibility on select devices)
- Local Hybrid Rag for document search and cross conversational recall
- Local live voice feature (Similar to Gemini Live, but local!)
If you have an Android device (Android 8.0+, ideally with an NPU) and want to test the limits of local on-device agent inference, I'd love your feedback on token generation speeds and pipeline stability.
Repo: https://t.co/zwDWfHpoYw
Join the Closed Alpha here: https://t.co/bnFL7tjR3j
#Gemma4 #Gemma #Android #localAI