Neither DeepSeek Harness nor Qwen3.8 is a must-have for me

DeepSeek Harness got a lot of people excited, but I used it once and didn't keep going; Qwen3.8 27B's capabilities have taken off, but I haven't deployed it locally either. Weighing the urge for new things against the need for stability, OpenCode + Paseo + OpenViking is already smooth enough. Anything new that doesn't offer real, controllable, reliable help is just noise.

AI

cc-connect: Plugging Claude Code into Feishu

Installed a new tool today called cc-connect. It maps your local Claude Code to a Feishu bot, hooks it into a chat app, and lets you remote-control your coding directly from Feishu.

AI

Notes on Using the TRAE SOLO Standalone Edition

The new version of TRAE SOLO supports remote control from your phone, so you can have your home computer write code even when you're out and about — but compared with TRAE IDE, it still falls short on things like rule inheritance and skill installation.

AI

MSA (Memory Sparse Attention) — an open-source way to break through the AI memory bottleneck

Instead of bolting on retrieval, MSA embeds memory directly into the attention mechanism itself. That gives you end-to-end long-term memory and breaks past the accuracy ceiling of traditional RAG and the compute-cost bottleneck of the context window.

AI

Playwright vs CDP: Comparing Browser Control Approaches

Playwright is a well-packaged high-level tool, while CDP is the browser's low-level "machine language". For scenarios where OpenClaw directly drives the host machine's browser main Profile, connecting to port 9222 via the CDP (DevTools MCP) protocol is the best choice

AI

Thoughts on Harness Engineering: The Third Paradigm Shift in AI Engineering

Harness Engineering = building an "office" for the Agent instead of continuing to polish the "email wording." From "writing better prompts" to "building the environment," so the agent can run stably and reliably in real production environments

AI

Hermes Agent official documentation breakdown vs OpenClaw

Hermes Agent is a white-box meta AI Agent developed by Nous Research, MIT licensed. Core positioning difference: OpenClaw = a local-first Agent orchestration framework, Hermes = a self-evolving personal operator

AI

LLM Personal Knowledge Base Pattern (Karpathy)

Use an LLM to build a persistent wiki instead of traditional RAG, so knowledge is compiled at ingestion time rather than re-derived at query time. Three-layer architecture: Raw Sources (immutable) → Wiki (LLM-maintained) → Schema (CLAUDE.md/AGENTS.md)

AI

Troubleshooting browser startup failure inside the OpenClaw container

Inside a container you need headless:true + noSandbox:true + extraArgs to disable the setuid/namespace sandbox — all three are required. A SIGUSR1 hot restart doesn't fully take effect for the headless field; you need a full container restart

AI

Gemma 4: Google open-sources a 31B model that takes down 400B, and it runs on a Mac Mini

31B parameters, Apache 2.0 license, runs on a Mac Mini, AIME math jumps from 20% to 89% — Google's open-source models have finally turned things around this time. But tool calling is still a weak spot

AI
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