Run other Agent Harness directly in Codex Desktop.
If you don’t want to cut the window, you can plug Pi, Claude Code, OpenCode, Grok Build, and DeepSeek Harness into the same Codex Desktop. The native experiences of streaming reply, Diff, approval, and slash commands are basically still there. It can also collaborate across Agents: the current task can be delegated to another Harness, each independently…
Now when running AI video workflows, the biggest sticking point is not the model capability, but the high cost of API calls.
I took a look at Flatkey’s new event post today, and most people’s focus was on “one key to access 200+ models”. But I took the time to look through its billing schedule and found that its real value is actually the per-second pricing hidden in the video model.
The fourth round of large model testing on WorkBuddy continues to compare the two large models of DeepSeek V4 Flash and DeepSeek V4 Pro
Prompt: Generate an svg animation: Pelican riding a bicycle, show it to me in H5 Current performance: The generated results of DeepSeek V4 Flash were bad enough, but when I saw the generated results of DeepSeek V4 Pro, I couldn’t help laughing.
Still confused by a bunch of API keys? Switching between different large models requires a new set of…
Still confused by a bunch of API keys? Switching between different large models requires a new set of keys. Each company's bills are scattered and independent, and the cost of token calling remains high. This should be a common pain point for many AI developers.
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