An Agent’s Answer Begins in the Harness
The model only sees the task after a runtime has edited its context, carried forward state, and decided what survived the last turn—so the first question after a bad run is what the harness made it see.
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Open Interpreter’s GitHub audience remembers a Python computer agent. The code behind the same counter is now a Rust fork of Codex—and almost all of the stars arrived before that switch.
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OpenWork's newest MCP work carries a provider's structured authorization link through a failed tool call, so the person who owns the account can act instead of watching an agent retry the wrong problem.
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OpenClaw is making a simple rule explicit: when an agent writes a file, a review surface should show the patch it can prove—and show uncertainty when it cannot.
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The long-form map behind the daily paper: context, tools, loops, memory, delegation, safety, interface, and trust.