Built by a developer who refused to run code he couldn't audit, the project strips OpenClaw down to ~500 lines handling everything. Agents execute inside Apple Container sandboxes (or Docker on Linux), with filesystem isolation enforced at the OS level rather than through application permissions. Setup happens through Claude Code itself - no installation wizard, no configuration files to learn, just run /setup and the AI handles dependencies, authentication, container configuration, and service deployment. Highlights: 1. Container-Level Security - Agents run in lightweight Linux VMs where only mounted directories are visible. Bash access is safe because commands execute inside the sandbox, not on your host. Mount allowlist validation sits at ~/.config/nanoclaw/ where agents can't reach it. 2. Skills-Based Customization - Contributors write skills like /add-telegram that teach Claude Code how to transform your fork. No PRs adding features to core—users run skills and get clean code matching their exact needs without bloat. 3. Memory Hierarchy - Global memory in groups/CLAUDE.md gets read by all conversations but only written by main channel, while each group maintains isolated memory in its own folder. Claude Agent SDK automatically loads both levels when agents run. 4. Scheduled Task System - Groups schedule recurring or one-time tasks that run as full agents with complete tool access, optionally messaging results back. Main channel manages all tasks across groups, others manage only their own. Nanoclaw is open source ❤️ Clone the repo, run Claude Code, execute /setup, and you have a working assistant. *Requires macOS or Linux and Claude Code installed.

With skills, AI coding assistants like Claude Code, Cursor, and OpenCode are better at using our APIs to handle AI audio and agent workflows. npx skills add elevenlabs/skills

*** For those who don't want to go through a "complicated" setup, use a terminal, or worry about any config files... or buy a Mac mini. 🤑 ... but want to jump on a bandwagon and try OpenClaw 🦀 for themselves. Here’s what you can do: - Go to the OpenClaw Lightning environment - Click on “Clone” - Your instance opens up in your IDE of choice From there, you can connect it to WhatsApp or Telegram and control your assistant from your mobile. This turns hours of installation and configuration into just minutes. Why is this important?! This keeps everything in a secure sandbox environment, off your local machine. Clawdbot is fun and powerful, but you should NEVER give it access to your main machine.

Claude Sonnet 5: The “Fennec” leaks: Fennec Codename: Leaked internal codename for Claude Sonnet 5, reportedly one full generation ahead of Gemini’s “Snow Bunny.” Imminent Release: A Vertex AI error log lists claude-sonnet-5@20260203, pointing to a February 3, 2026 release window. Aggressive Pricing: Rumored to be 50% cheaper than Claude Opus 4.5 while outperforming it across metrics. Massive Context: Retains the 1M token context window, but runs significantly faster. TPU Acceleration: Allegedly trained/optimized on Google TPUs, enabling higher throughput and lower latency. Claude Code Evolution: Can spawn specialized sub-agents (backend, QA, researcher) that work in parallel from the terminal. “Dev Team” Mode: Agents run autonomously in the background you give a brief, they build the full feature like human teammates. Benchmarking Beast: Insider leaks claim it surpasses 80.9% on SWE-Bench, effectively outscoring current coding models. Vertex Confirmation: The 404 on the specific Sonnet 5 ID suggests the model already exists in Google’s infrastructure, awaiting activation.

OpenAI released a standalone macOS app for Codex that treats multiple AI agents like a team you're managing, not a chatbot you're prompting. The automation and cron job features feel like a decent replica of OpenClaw, and it feels like OpenClaw lite. ***For a limited time (reportedly two months), Codex is available to ChatGPT Free and Go users, with doubled rate limits for Plus, Pro, Business, Enterprise, and Edu plans.*** Highlights: - Multi-Agent Orchestration - Agents run in separate threads organized by projects with built-in worktree support so multiple agents can work on the same repo without conflicts. - Skills System - Pre-built workflows for common tasks like implementing Figma designs, triaging bugs in Linear, deploying to cloud hosts, and generating images. You can explicitly invoke skills or let Codex auto-select based on context. - Automations with Scheduling - Set agents to run background tasks on automatic schedules—daily issue triage, CI failure summaries, release briefs, bug checks. Results land in a review queue so you can jump back in when needed without blocking your main workflow. - Plan Mode & Personalities - New "plan mode" lets Codex read through complex changes in read-only mode and discuss with you before executing. Customizable personalities (pragmatic, empathetic, terse) adjust how the agent communicates, accessible via the /personality command.