Agent Runtimes Hit the Metal: Keyless microVMs and a Concurrency Engine
At AGNTCon + MCPCon, Google turned its Gemini agent infrastructure into Agent Compute Engine — a keyless, hardware-isolated microVM per agent — while AWS open-sourced Infinity, a Rust runtime for extreme agent concurrency with an async MCP successor called RAP. OpenAI's Decisio...
Highlights signal board
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- Google Cloud unveiled Agent Compute Engine, giving each agent its own hardware-isolated microVM with no credentials stored inside - the infra it already runs Gemini on. (The New Stack)
- AWS open-sourced Infinity, an Apache-2.0 Rust runtime for "extreme agent concurrency" that suspends and resumes agents around tool calls, and introduces RAP, an async successor to MCP. (AWS Open Source)
- OpenAI's Decisions API went generally available at $0.10 per million input tokens (output free), returning typed, bounded answers for routing and classification. (TechCrunch)
- The Agentic AI Foundation added Open Responses, OpenEnv, and OpenSandbox, reaching 10 hosted projects in its first year. (AAIF)
Key Signals ranked scan
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runtime
Google turns its Gemini agent infra into a cloud service Oct 22, AGNTCon + MCPCon
Agent Compute Engine gives every agent a persistent, sandboxed microVM with root access that can run shell, a headless browser, and code "in loops that could run for weeks," then checkpoints and pauses between tool calls. Long-lived secrets never live inside the VM - they're injected at egress by an Agent Gateway only after mTLS and policy checks. Preview opens "in the coming months," no pricing yet. (The New Stack)
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concurrency
AWS reimagines the runtime for thousands of idle agents Oct 23, Apache 2.0
Built with UC Berkeley under the Hydro project, Infinity dispatches a tool call, saves conversation state, and suspends the agent until the result arrives - borrowing async suspend/resume from programming-language runtimes. Existing stdio/HTTP MCP servers run unchanged through a compatibility layer, while the new Reactive Agent Protocol (RAP) drops long-lived connections entirely. (AWS Open Source)
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model ops
A dedicated endpoint for machine decisions, not chat GA Oct 22
The
POST /v1/decisionsendpoint, powered by GPT-6 Luna, returns a probability, a selection, or a rubric score - roughly 10x faster than the Responses API at ~150 ms. At $0.10/M input and free output, it reframes classification, routing, and prioritization as a cheap, typed call rather than a prompt-parse loop. (TechCrunch)
Why It Matters / What To Watch watch items
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The runtime layer is becoming cloud infrastructure, not an SDK.
- Yesterday's story was SDK-level hardening; this week the hyperscalers moved it down the stack. Watch whether ACE's keyless, egress-injected credential model becomes the default pattern for long-running agents. (The New Stack)
- Track RAP adoption versus MCP: Infinity keeps MCP working but bets the future is async. If concurrency and cost (75k idle agents per host, AWS claims) hold up, long-horizon agent fleets get much cheaper to park. (AWS Open Source)
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Standards and cross-vendor governance keep consolidating.
- AAIF now stewards 10 projects under neutral governance; Open Responses in particular promises API portability across providers - worth watching if you're locked to one SDK. (AAIF)
- Dataiku Agent Management reached GA this month, inventorying agents across AWS Bedrock, Databricks, Google Vertex, Microsoft Copilot Studio/Azure Foundry, Salesforce Agentforce, and Snowflake Cortex. As runtimes multiply, "which agents are even running, and what risk do they carry" becomes the operator's first question. (Dataiku)
Quick Links sources
- Google turns the infrastructure behind Gemini's agents into a cloud service
- Introducing Infinity: a runtime for extreme agent concurrency
- OpenAI makes its Jev competitor widely available as decision model competition heats up
- Agentic AI Foundation Announces Four New Projects: Agent Skills, Open Responses, OpenEnv, and OpenSandbox
- Dataiku Launches Agent Management for enterprise AI agents