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
discrawl mirrors Discord guild data into a local SQLite database, allowing you to search, inspect, and query server history independently of Discord. It’s a bot-token crawler – no user-token hacks – and keeps your data local. It discovers accessible guilds, syncs channels, threads, members, and message history, maintains FTS5 search indexes for fast text search (including small attachments), records mentions, and tails Gateway events for live updates with repair syncs. It provides read-only SQL access for analysis and supports multi-guild schemas with a simple single-guild default. Search defaults to all guilds, while sync and tail default to a configured default guild or fan out to all discovered guilds if none is set.
MimiClaw is an AI agent that runs on a $5 ESP32 board and delivers an OpenClaw-like experience, putting a private assistant in your pocket. It operates as a bare-metal AI agent, storing data in text files and interacting with the real world through GPIO pins.
This is a GitHub repository for a Discord bot named discord-llm-chatbot. This bot allows you to chat with Large Language Models (LLMs) directly in your Discord server. It supports various LLMs, including those from OpenAI API, Mistral API, Anthropic API, and local models like ollama, oobabooga, Jan, LM Studio, etc. The bot offers a reply-based chat system, customizable system prompt, and seamless threading of conversations. It also supports image and text file attachments, and streamed responses.
