Claudebot-vibe is a personal assistant bot powered by Claude that runs on Telegram.
* A Telegram bot built with Telegraf Node.js, using Claude Anthropic for chat, Gemini for image generation, Supabase + pgvector for storage and Voyage AI for vector memory.
* Bilingual EN/中文 documentation. One-click deploy to Railway is provided.
* Smart chat with persistent memory
* 4-layer memory system: Soul / Projects / Tasks / Notes that auto-updates from conversations
* Code tools: explain, review, test, save/load versions
* Image generation via `/imagine` with Gemini
* Writing tools: translate, improve, brainstorm
* Auto-parsing of files: PDF, ZIP, DOCX, XLSX, images, code files
* URL auto-summary, reminders/templates, usage tracking
* A Telegram bot built with Telegraf Node.js, using Claude Anthropic for chat, Gemini for image generation, Supabase + pgvector for storage and Voyage AI for vector memory.
* Bilingual EN/中文 documentation. One-click deploy to Railway is provided.
* Smart chat with persistent memory
* 4-layer memory system: Soul / Projects / Tasks / Notes that auto-updates from conversations
* Code tools: explain, review, test, save/load versions
* Image generation via `/imagine` with Gemini
* Writing tools: translate, improve, brainstorm
* Auto-parsing of files: PDF, ZIP, DOCX, XLSX, images, code files
* URL auto-summary, reminders/templates, usage tracking
The author demonstrates how to run Espressif's ESP-Claw agent framework on an ESP32-P4 microcontroller using a self-hosted Qwen 3.6 LLM. Unlike standard TinyML implementations that only use microcontrollers for simple tasks, this setup allows the chip to manage sensing, decision-making, and tool execution through Lua scripts triggered via Telegram. The project shows how hardware behavior can be modified in real-time through chat without needing to recompile firmware.
Main topics:
* Implementation of an agent loop directly on a microcontroller
* Using Lua modules for dynamic runtime skill acquisition
* Interfacing with LLMs via OpenAI-compatible APIs
* Controlling peripherals like GPIO, I2C, and sensors through natural language
* Utilizing Telegram as the primary user interface
Main topics:
* Implementation of an agent loop directly on a microcontroller
* Using Lua modules for dynamic runtime skill acquisition
* Interfacing with LLMs via OpenAI-compatible APIs
* Controlling peripherals like GPIO, I2C, and sensors through natural language
* Utilizing Telegram as the primary user interface
zclaw is a personal AI assistant running on an ESP32, backed by Anthropic, OpenAI, or OpenRouter. It allows for monitoring and control of connected devices via Telegram, scheduling tasks, and creating custom tools, all within an 888KB footprint.
OpenClaw is an open-source project that allows users to build and control AI agents. It provides a gateway for building agents and can be integrated with messaging apps such as Telegram. The article details the setup process, capabilities, and potential risks of using OpenClaw.
OpenClaw utilizes "skills" (packages of tools and instructions) and a "SOUL.md" file to define the agent's behavior and personality. The agent stores conversation history to improve its responses over time.
OpenClaw utilizes "skills" (packages of tools and instructions) and a "SOUL.md" file to define the agent's behavior and personality. The agent stores conversation history to improve its responses over time.
A guide on running OpenClaw (aka Clawdbot aka Moltbot) in a Docker container, including setup, configuration, and accessing the web UI.
In an interview with TechCrunch, Signal CEO Meredith Whittaker criticizes the media's obsession with AI-driven deepfakes, the encroaching surveillance state, and the concentration of power in the five main social media platforms. She also discusses the company's recent war of words with Elon Musk, Telegram's Pavel Durov, and OpenAI's leadership.
