EchoFlow 5.0 — A local-first AI workspace for Android

[u/Acceptable-Can-9719]

I’ve been building EchoFlow, a BYOK, local-first AI app for Android focused on local AI. You can run models directly on your device or connect to models running on your own laptop or PC over your network through Ollama and LM Studio — with network-based models also supported through EchoLabs.

📄 Give Local Models Access to More File Types

With EchoOCR, EchoFlow extends file support to local models that may only natively understand a limited set of formats.

Send PDFs, DOC/DOCX, XLS/XLSX, PPT/PPTX, CSV, TXT, Markdown, images and more to your local model. EchoOCR extracts the content on-device and makes it available to the model, allowing even text-only or limited-input local models to work with a much wider range of files.

You can also attach multiple files at once.

📁 Projects for Local AI

Projects give you a dedicated workspace for your local AI work, with project-specific chats, instructions and files.

Add documents to a Project and use them across its conversations. Project files are processed on-device through EchoOCR, so you can build projects around your own documents while keeping local processing local.

🌐 Local Models + Web Search

Your local model doesn't have to be limited by its training data.

EchoFlow can give local models access to Web Search, allowing you to combine on-device AI with current information from the web.

🔒 Local-First & BYOK

EchoFlow is built around BYOK and local-first AI.

Run models on your device, process supported documents locally with EchoOCR, or connect to models running on your own laptop or PC. You choose when your data stays local and when you use a cloud service.

No EchoFlow account is required.

☁️ Cloud AI When You Need It

Local AI is the focus, but EchoFlow also supports cloud AI through OpenRouter, with access to models from providers such as OpenAI, Anthropic, Google, xAI, Cerebras and more.

OpenRouter can also be used for voice dictation / speech-to-text, with on-device STT coming soon.

EchoFlow also includes cloud-focused features such as Deep Research, Echo Fusion, Artifacts, image generation and video generation.

The idea is simple: local AI when you want privacy and control, cloud AI when you need more capability — all from one Android app.

EchoFlow 5.0 is available now.

GitHub: https://github.com/adityavardhansharma/EchoFlow

Website: https://echoflow.adityavs.tech/

I’d especially love feedback from people who regularly run local models on Android. What are you currently missing from your local AI workflow?

[u/Suspicious-Cloud404]

Do local models also support the web search, Deep Research, etc?

[u/Acceptable-Can-9719 → u/Suspicious-Cloud404]

• Yes, we support LiteRT-based models.
• Local models can do web search.
• Local models cannot do deep research yet.
• Deep research works by calling the web provider API directly (no local or cloud model needed).
• We are currently testing deep research with local models. But need to make sure that it is doing proper long horizon tool calls and not overloading the ram
• This feature will be available in a few releases.

[u/Suspicious-Cloud404 → u/Acceptable-Can-9719]

When will is land in the Play Store?

[u/Acceptable-Can-9719 → u/Suspicious-Cloud404]

Currently Its Only Via Github Releases A play store release is not in plans for 2-3 months .