Personal-Agent

The personal AI agent space just got a serious new entrant. Bengaluru-based startup Emergent — already known for its “vibe coding” tools and 8 million users — has launched Wingman, a messaging-first autonomous AI agent that lives where most people already spend their time: WhatsApp, Telegram, and iMessage. This isn’t a chatbot with a workflow wrapper. It’s a direct play for the same space OpenClaw and NanoBot occupy, built on the bet that the best interface for a personal AI agent is the messaging app you’re already using. ...

A quick note before we start: yes, this was published on April 1st. No, it’s not an April Fools’ joke. Multiple trade press outlets — Business Insider, AOL, letsdatascience.com — covered this as straight news, and Karpathy has since confirmed the demo is real. With that cleared up: what Andrej Karpathy demonstrated this week is one of the clearest visions of where personal AI agents are actually going. The Demo Karpathy built an OpenClaw agent he named Dobby. The task he gave it: scan the local network, discover connected devices, and figure out how to control them. ...

Microsoft made two OpenClaw-related moves this week that, taken together, perfectly capture the enterprise AI agent paradox: they hired someone specifically to bring OpenClaw into Microsoft 365, and they issued a security guidance document specifically warning enterprises not to deploy OpenClaw on standard workstations. Both are correct. That’s the tension. The Hire: Omar Shahine to Lead OpenClaw in M365 Omar Shahine, previously known for his work on Outlook and various Microsoft productivity products, has been hired by Microsoft to lead the integration of OpenClaw and personal AI agents into the Microsoft 365 ecosystem. Windows Central confirmed the hire. ...

Alibaba’s CoPaw just went open-source and it’s one of the cleanest personal agent setups I’ve seen for developers who want full control over their stack. This guide walks you through a working deployment in under 30 minutes — locally on a Mac, or on a cheap Linux VPS. Prerequisites: Python 3.11+ or Docker A machine with at least 4GB RAM (8GB+ for local models) Optional: Anthropic/OpenAI API key, or a local model via llama.cpp or Ollama Step 1: Clone the Repository git clone https://github.com/agentscope-ai/CoPaw.git cd CoPaw The repo includes a docker-compose.yml for containerized deployment and a standard Python requirements.txt for bare-metal installs. ...

The open-source personal agent space just got a serious new contender. Alibaba’s research team quietly dropped CoPaw at the end of February — an open-source framework for deploying self-hosted AI agents that runs entirely on your own hardware, supports local models, and integrates directly with Discord, iMessage, DingTalk, and Feishu out of the box. If you’ve been following the OpenClaw community, the concept will feel familiar. But CoPaw brings a distinctly different design philosophy: it’s built from the ground up for portability and model-agnosticism, with equal-class support for local inference (via llama.cpp or Apple MLX) and remote APIs. ...