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Craft Data & AI News - #9 Smart Home - Voice Control - LinkedIn
Craft Data & AI News — Article 9 Overview The Smart Home AI Brain on Mac Mini M4 had three ways to interact with it: web UI, a Telegram bot, and a CLI. All text-based. The next natural step is voice — send a spoken message and get an answer back. Previous series articles describes design and full architecture implementation for: #8 Memory Implementation described session memory, rules and user preferences, fine-tuning and way to force LLM remember things #7 Security and infrastructure - Integration with Telegram . securing each endpoint, adding tools for LLM and commands for interaction with environment #6 Prototype of AI Home Brain setup Brain center bases on M4 Mac and Local Ollama LLM provider, designed single web and API End Point Three main options Voice control for a home AI system can be implemented in several fundamentally different ways. I'll start providing approaches based on difficulty of implementation. The purpose to have voice input as alternative to text messages . Option 1 — Telegram voice messages. Hold the mic button in Telegram, send a voice message. The bot downloads the OGG file, transcribes it locally with Whisper audio service, forwards the text to the agent server, and replies with the text response. Uses infrastructure that already exists and is already authenticated. Option 2 — "Siri , Ask Home". Hey Siri, ask home [question]" triggers an iOS Shortcut that POSTs to /api/agent and reads the response back using Siri's voice. Zero new hardware, zero new server code. Only works on Apple devices. Siri does the STT and TTS; the agent just processes text - no infrastructure changes on Mac mini server , simple configuration flow to be repeated on each Apple Device. Option 3 — Direct microphone on the Mac Mini.** Always-on wake word detection (openWakeWord) on the Mac Mini itself, Whisper for transcription, a speaker for TTS responses. Fully local, hands-free. Requires physical hardware: a USB microphone array and a speaker. High complexity, high privacy — audio never leaves the machine. The most complex option to do , but as result -fully managable audio service (no shorcuts or audio message) - input requests and output responces in human language text. Microfon -> Listener -> Whisper transcript -> LLM Call -> Responce text to speach -> Veho Part 1: Telegram voice messages When a user holds the mic button in Telegram and sends a recording, the Telegram Bot API delivers it as a voice object in the update payload — not as a tex...
bradAGI/awesome-cli-coding-agents - GitHub
A curated list of 80+ CLI coding agents — AI-powered tools that live in your terminal, read/edit repos, and run commands — plus the harnesses that orchestrate, sandbox, or extend them. Last updated: 2026-04-21 What is a CLI coding agent? A CLI coding agent is an AI-powered tool that runs in your terminal and can autonomously read, write, and execute code in your repository. Unlike chat-based assistants, these agents have direct access to your filesystem, shell, and dev tools — they can edit files, run tests, commit changes, and iterate on errors. Think of them as AI pair programmers that live where you already work: the command line. Contents Terminal-native coding agents Open Source OpenClaw ecosystem Closed Source Harnesses & orchestration Session managers & parallel runners Orchestrators & autonomous loops Agent infrastructure Contributing Terminal-native coding agents Open Source Forkable, extensible, and community-driven. Sorted by GitHub stars. Provider tags [Company] indicate the backing organization. Claw Code ⭐ 187k — Clean-room Python/Rust rewrite of Claude Code architecture using oh-my-codex; fastest repo in GitHub history to 100K stars. Born from the March 2026 Claude Code source leak. MIT. OpenCode ⭐ 147k — Terminal-native coding agent with 75+ provider support, LSP integration, and privacy-first design (formerly opencode-ai; now at opencode.ai). Hermes Agent ⭐ 108k — Nous Research's self-improving CLI agent with persistent memory, automated skill creation, sandboxed code execution via Unix socket RPC, and multi-platform reach (Telegram/Slack/Discord/WhatsApp); supports 300+ models across multiple providers. Gemini CLI ⭐ 102k [Google] — Google's terminal agent powered by Gemini, with tools for repo work and research. Apache-2.0. Codex CLI ⭐ 76.8k [OpenAI] — OpenAI's local coding agent for reading/editing/running code, with an interactive TUI and tool execution. Apache-2.0. OpenHands ⭐ 71.6k — Open-source agentic developer environment (formerly OpenDevin) with CLI and web entrypoints; also has a lightweight CLI-only package. Open Interpreter ⭐ 63.2k — Terminal tool that can execute code and actions; often used as a "do things on my machine" agent. Cline CLI ⭐ 60.5k — Model-agnostic autonomous agent for planning, file edits, command execution, and browser use. Aider ⭐ 43.7k — Pair-programming agent for editing files via diffs/patches, with strong git and multi-file workflows. Goose ⭐ 42.9k — Local, extensible agent that can ex...
Run Whisper Locally on a Mini PC: Private Transcription for ...
Set up Whisper on a mini PC for private, always-available speech-to-text. Covers hardware needs, model selection, and the right tools for home offices and small teams.
Agentic AI Translation for Product Localization
Speed up localization with Agentic AI - an autonomous translation agent that reads code, analyzes UI, and finds real context. Connects to your tool stack for smarter translations.
