HelloAgent vs Local Inference OnDevice Agent

HelloAgent is an inbox for the personal AI agents you build. Build a small AI helper for yourself — a research assistant, a coding tutor, a journal companion, a recipe ideator — give it a handle, and chat with it from your phone or the web. Your agents, your handle, your inbox. — Build your own agent with the open-source SDK in Python or TypeScript. Pick your model — any LLM API or local runtime. Pick your tools. Pick your prompt. The agent runs wherever you want — on your laptop, a VPS, a Raspberry Pi. — Talk to it from anywhere. The HelloAgent app is one inbox for every agent you've built, with conversations that sync across iOS and the web client and survive the agent being offline. — Sign in with Apple, Google, or email + password. — Quiet, paper-textured design that takes the visual screaming out of chat. Optimised for long-form work, code blocks, and math. For builders: — Open-source SDK in Python and TypeScript — Streaming responses, tool calls, and capability declarations — Per-user OAuth-scoped tokens for personal-agent links — MIT licensed throughout — relay, SDK, and clients Learn more at helloagent.cc.

Your AI. Your phone. Nobody else's business. LocalInference runs powerful open AI models entirely on your device. Your conversations never leave your phone — no account, no cloud, no analytics, no tracking. Ever. PRIVATE BY ARCHITECTURE, NOT BY PROMISE • Everything runs on-device; works fully offline after a one-time model download • Zero data collection — we couldn't read your chats if we wanted to • API keys (optional) stored in the secure keychain, sent only to the provider you chose A REAL ASSISTANT, NOT JUST A CHATBOT • Tools: calculator, web search, date & time, webpage reading • Contacts & calendar integration — every write action asks you first • Ask about photos with vision models • Reads answers aloud with on-device voices BUILT FOR TINKERERS • 16 curated models from 0.5B to 8B — Qwen3, Llama, Gemma, DeepSeek R1, Phi, SmolVLM • Only models that fit your device's memory are offered • Live tok/s, time-to-first-token, and token counts per response • Thinking models show their reasoning in collapsible blocks • Bring your own keys: Anthropic, OpenAI, Google — or any OpenAI-compatible server (llama.cpp, LM Studio, Ollama) on your own network Built with Llama. Gemma models provided under the Gemma Terms of Use.