
Terminal-based AI agents have evolved considerably over the past few months, and several changes are significant enough that developers relying on these tools should be aware of them.
Most notably, Google has begun retiring Gemini CLI for individual users in favor of Antigravity CLI — a closed-source successor that has drawn some pushback from the community that built out Gemini CLI's open-source ecosystem. Meanwhile, Claude Code has moved to the Opus 4.8 and Fable 5 models with a 1M-token context window, and OpenClaw, the open-source "always-on" agent, has grown into one of the most-starred projects on GitHub — alongside a documented CVE worth knowing about before deployment.
I've just published an updated, fact-checked comparison covering:
- What actually changed with Gemini CLI's retirement, and what it means if you have scripts or CI/CD pipelines depending on it
- Claude Code's current model lineup, context window, and new Dynamic Workflows feature
- OpenClaw's architecture, extensibility via ClawHub, and the security considerations that come with deep system access
- A full feature-comparison table (cost, context window, open-source status, setup complexity)
- A practical case study walking through how all three tools can work together on a real project
Would be curious to hear which of these you're using day-to-day, and whether the Gemini → Antigravity transition has affected your workflow.
Full article here:
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