Multi-agent orchestration for OllamaJS. Includes TTS synthesis and speech recognition for simplified testing. Connected to telegram bot which support multiple chat sessions
# 🐝 node-ollama-telegram-agent-swarm > Multi-user Agent Swarm for Ollama  ## Where the Market is Heading Long ago, the graphical user interface replaced command-line input. It might seem that a pseudo-graphical interface could solve the interaction problem for unprepared users, but there's a factor that not everyone notices. ### Pseudo-graphical Interface  **Important!** Developing a graphical user interface is cheaper than a pseudo-graphical one. Historically, right after the Next CUBE release, ObjC was introduced with a graphical form editor where pages could be arranged with a mouse. In the modern world, Frontend provides graphical form debugging through Dev Tools, which is essentially the same thing: nominal code without technical details, and when problems arise, there's a GUI that makes bug finding cheaper. ### Graphical Interface  But it's even cheaper not to make a user interface at all. You don't need a static IP, PCI DSS, a domain promoted in Yandex and Google, or highload if you decide not to reinvent the wheel and create yet another web product that will cost three times more to attract visitors than to develop. ### Voice Interface  Telephone comes from the word "phone," phonetics - sound. Instead of learning a huge number of button combinations for Figma, Blender, Photoshop, Unreal Engine, it's simpler to just voice the command. How do you rotate a drawing in ArchiCAD? ### LLM as a New Type of User Interface Agent Swarm is like fragments in Android or a router in React: they allow you to specify the scope of tasks (buttons on screen) based on previous user input. For example, when a call comes in on a SIP phone, you first need to understand if the person wants to buy or return an item in principle, and then offer them a list of available products. ## Technical Requirements The tax office will always ask for debit
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型