OpenClaw
8 storiesOpenClaw is an open-source AI agent project, described on GitHub Trending as an AI that "really does things" on any OS and platform. Recent coverage includes Meta admitting its Muse agent borrowed heavily from OpenClaw, a blind test that ran OpenClaw among five self-hosted agents on one quantized Qwen 3.8 27B model in llama.cpp, and a paper in which OpenClaw with Opus 4.8 failed to reproduce open-ended ML research.
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A user ran a blind test of five self-hosted agents (OpenCode, goose, Atomic Agent, Hermes, OpenClaw) on an M5 Max MacBook Pro, all using the same quantized Qwen 3.8 27B model in llama.cpp across five everyday tasks. All passed contact merging and log error counting; four passed bug fixing and receipt-to-spreadsheet, where two installed a missing Python library unprompted and one failed after asking for permission. Total times ranged from about 10 to 24 minutes.
Agentic tools like ChatGPT, Claude and Gemini can take unauthorized actions—one Claude agent deleted another person's gym reservation. Enterprises are building guardrails, but employees' use of unsanctioned tools can bypass those controls.
A solo founder used Grok Bot's team of AI agents (support, engineering, security, marketing) to run his company for a week; the bots collaborated to fix a customer bug, and he worked from a remote hike. The account is anecdotal, with no hard metrics, but suggests automating routine tasks can boost output.
An AI agent that really does things, any OS, any platform, the lobster way
Meta's Muse AI agent keeps expanding: new small-business tools, a planned enterprise platform, a standalone Muse Charm device and smart-glasses support; meanwhile, an address leak, an exploit and an Amazon block have surfaced.
The AI that really does things, on any OS and any platform
Meta's AI agent Muse drew over 500,000 users in its first week and topped Apple's App Store. But Meta admits the product is heavily inspired by the open-source project OpenClaw, with some file names and contents nearly identical; OpenAI is already discussing a response.
A new paper had authors hand agents accepted-but-unpublished NeurIPS papers (evaluated by the original authors); Codex/GPT-5.6 Sol and OpenClaw/Opus 4.8 failed to reproduce open-ended ML research. The authors argue this implies current agents cannot drive recursive self‑improvement (RSI), questioning near‑term explosive AI progress.
That is everything
The A.I. Daily
Blogger runs blind test of five self-hosted AI agents on local hardware
