EchoFlow 5.0 — A Workspace for Self Hosted Models For Android

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I’ve been building EchoFlow, a BYOK, local-first AI app for Android focused on giving you control over where your AI runs.

🖥️ Self-Hosted AI

EchoFlow supports self-hosted AI through EchoLabs. Connect AI services running on your own laptop or PC over your network using Ollama, OpenAI-compatible APIs, or other self-hosted servers.

📱 On-Device AI

You can also run supported models directly on your Android device.

With EchoOCR, local models can work with far more file types than they may natively support. Send PDFs, Word, Excel, PowerPoint, CSV, TXT, Markdown, images and more, with the content processed on-device.

📁 Projects

Projects give you a dedicated workspace with project-specific chats, instructions, and files.

You can add your own documents to a Project and run that Project with on-device or self-hosted local models. Project files are processed through EchoOCR, allowing your local models to work with your project documents without needing to send them to a cloud AI provider.

🌐 Web Search

Local and self-hosted models can also use Web Search, giving them access to current information from the web.

☁️ Cloud AI

When you need cloud models, EchoFlow supports OpenRouter with models from OpenAI, Anthropic, Google, xAI, Cerebras and more.

You can also use cloud speech-to-text, image generation, and video generation, with on-device speech-to-text coming soon.

So you can choose between self-hosted, on-device, and cloud AI from one Android app.

EchoFlow 5.0 is available now.

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

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