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Topic

Agent infrastructure

The reliability, state and orchestration layer beneath long-running AI agents that call models, use tools and wait on humans or external systems.

Current stories

product1 publisher

OpenAI's Dots moves always-on agents from owned hardware into OpenAI's cloud

OpenAI launched Dots at DevDay 2026, personal agents that run on cloud computers OpenAI maintains and keep context across ChatGPT, Slack and Teams. For unattended agent work, teams now choose between OpenAI's machines and hardware they can switch off themselves.

Publishers:turingpost.com

Reality

Evidence35
Adoption
Insufficient
Hype gap+25
Incentives55
Confidence40
build1 publisher

Scry's congestion pricing turns an agent's retry into a purchase

Scry's MCP search API prices an over-quota query instead of refusing it. That moves congestion control into the agent's retry loop, where a backoff timer cannot see the quote and the budget arbiter is the orchestrator's problem.

Publishers:dev.to

Reality

Evidence22
Adoption
Insufficient
Hype gap+45
Incentives
Insufficient
Confidence30
build1 publisher

Kubernetes probe defaults treat a 40-second tool call as a hang

A dev.to post works through what the stateless-service playbook does to an agent request. The common probe cadence restarts a pod after roughly 30 seconds of silence on /health, and one slow tool call takes longer than that.

Publishers:dev.to

Reality

Evidence38
Adoption20
Hype gap+30
Incentives60
Confidence45