The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. A long-running AI agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failure, leave structured artif...
O'Reilly Radar reported on "Long-Running Agents". The development is relevant to AI teams because it touches agents work across product, infrastructure, research, or policy decisions.
The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. A long-running AI agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failure, leave structured artifacts behind, and resume where it left off. For […]
O'Reilly Radar: The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. A long-running AI agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failure, leave structured artifacts behind, and...
For teams tracking AI agents, the story may affect product selection, infrastructure planning, or model and agent adoption decisions. The strongest version of the article should compare the attached sources and separate confirmed facts from early interpretation.
The next useful update would be an independent corroborating source and a freshness check against newer reporting.
The development is relevant to AI teams because it touches agents work across product, infrastructure, research, or policy decisions.
What happened The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission.
A long running AI agent can keep making progress over hours, days, or weeks.
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