This Sunday, the hottest open-source AI agent project in the AI circle, OpenClaw, once again dropped a major bomb. As its GitHub Star count broke through the 280,000 mark, the official released a major update called 2026.3.7. This is not just a regular patch, but a crucial step for OpenClaw to transition from an experimental framework to an "Agent Operating System."

First support for GPT-5.4, performance far surpassing Claude Code

The most eye-catching feature of this update is native support for GPT-5.4. In the OOLONG benchmark test, the new OpenClaw with the lossless-claw plugin scored 74.8, leaving Claude Code (70.3 points) far behind. Especially as the context length increases, OpenClaw demonstrates remarkable stability and accuracy, causing on-site testing engineers to exclaim, "Saying it runs well is being too conservative."

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"Memory Hot-Swapping": Giving Agents Longevity

For a long time, AI agents have faced the awkward situation of insufficient context windows. This update introduced a revolutionary "Context Engine Plugin Interface," supporting "memory hot-swapping." Developers can now freely attach RAG (Retrieval-Augmented Generation) or knowledge graph folding technologies, and even after service restarts, by using ACP persistent channel binding, the agent can continue working seamlessly. This highly persistent design has eliminated the last obstacle for agents to operate autonomously over the long term.

Detail-Oriented: Say Goodbye to "Logical Navel-Gazing," Embrace Productivity

For users of local models, the new version has restructured the Web search tool and perfectly compatible with the "thinking/reasoning" streaming output isolation of models like Ollama. Simply put, what the AI is thinking or hesitating about will now be accurately filtered out, and users will directly receive the "standard answer," without any more awkward situations where the model is reasoning and scrolling at the same time.

From a Geek Toy to a Virtual Employee

Currently, the application scenarios of OpenClaw are growing explosively. From professional code writing and report writing to daily stock selection and PPT creation, this "red lobster" is penetrating all industries. With the combined efforts of 196 contributors, it now has production-grade security features such as resistance to prompt injection and credential protection.

If you're still manually handling repetitive tasks, it's time to adopt your own "virtual employee." After all, an AI assistant that can self-evolve and never stop working is the standard for professionals in 2026.