{
  "schema_version": "1.1",
  "id": "atlas-cloud-agents",
  "slug": "cloud-agents",
  "title": "Cloud Agents",
  "url": "https://feed7.dev/atlas/cloud-agents",
  "current_answer": null,
  "implementation_consequence": null,
  "agent_context": null,
  "confidence": "auto_collected",
  "last_verified": null,
  "last_updated": null,
  "evidence": [
    {
      "schema_version": "1.1",
      "id": "auto-f834153d50",
      "slug": "vercel-mcp-can-now-deploy-code-f834153d50",
      "url": "https://feed7.dev/p/vercel-mcp-can-now-deploy-code-f834153d50",
      "title": "Vercel MCP can now deploy code",
      "why_included": "Make deployment an explicit reviewed final step, and verify the background build rather than treating a returned URL as completion.",
      "summary": "Vercel’s MCP server can deploy agent-built code to new or existing projects and return a shareable URL, extending chat-based coding workflows through delivery.",
      "practical_implication": "Builders using Claude, Cursor, or another MCP client can make deployment an explicit final agent step, but should preserve review and permission boundaries before shipping generated changes.",
      "agent_context": "The Vercel MCP server now exposes **deploy_to_vercel** for deployment to **new or existing projects**. It detects the framework, installs dependencies, builds the code, and returns a shareable URL while the build continues.\n\nBuilders using Claude, Cursor, or another MCP client can make deployment an explicit final agent step, but should preserve review and permission boundaries before shipping generated changes.\n\nThe material does not describe approval controls, rollback behavior, failure handling, or which project settings the tool may change. A returned URL can precede completion of the background build.",
      "source": {
        "name": "Vercel",
        "url": "https://vercel.com/changelog/vercel-mcp-can-now-deploy-code",
        "published_at": "2026-07-23T00:00:00.000Z"
      },
      "source_class": "blog_post",
      "content_type": "Engineering Post",
      "layer": "infra",
      "domains": [
        "coding"
      ],
      "topics": [
        "mcp",
        "tool-use",
        "cloud-agents"
      ],
      "verification": {
        "status": "official_source",
        "label": "Official Source",
        "method": "source_feed",
        "verified_at": null
      },
      "uncertainty": [],
      "connected_context": null,
      "lifecycle": "New",
      "published_at": "2026-07-23T00:00:00.000Z",
      "modified_at": "2026-07-23T00:00:00.000Z",
      "supersedes": [],
      "expires_at": null,
      "formats": {
        "html": "https://feed7.dev/p/vercel-mcp-can-now-deploy-code-f834153d50",
        "json": "https://feed7.dev/p/vercel-mcp-can-now-deploy-code-f834153d50.json",
        "markdown": "https://feed7.dev/p/vercel-mcp-can-now-deploy-code-f834153d50.md"
      }
    },
    {
      "schema_version": "1.1",
      "id": "auto-5077dc1992",
      "slug": "how-we-set-up-our-cloud-agent-environment-5077dc1992",
      "url": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992",
      "title": "How we set up our cloud agent environment",
      "why_included": "Treat the dev environment as agent infrastructure with Linux parity, one discoverable CLI, end-to-end tests, and automated repair.",
      "summary": "Cursor’s cloud-agent adoption grew after it treated the dev environment as agent infrastructure: Linux parity, one discoverable CLI, end-to-end testing, and automated repair.",
      "practical_implication": "Treat the development environment as part of the agent harness. Match cloud and local dependencies, replace fragile command sequences with one discoverable interface, expose verification workflows, and let supervisors own long-running processes.",
      "agent_context": "Cursor moved its monorepo onto agent-ready Linux VMs, centralized startup and utilities in an internal CLI, and added end-to-end computer-use testing. Cloud agents went from **roughly 1 in 10 merged PRs in December** to **more than half today**.\n\nTreat the development environment as part of the agent harness. Match cloud and local dependencies, replace fragile command sequences with one discoverable interface, expose verification workflows, and let supervisors own long-running processes.\n\nSkills alone only helped at the margins because the underlying commands remained convoluted. Cursor also built **Cursor Cloud MCP** and **Cloud Doctor** to diagnose and repair environment failures, but the adoption figures are internal and do not isolate which change caused the increase.",
      "source": {
        "name": "Cursor",
        "url": "https://cursor.com/blog/cloud-agent-environment",
        "published_at": "2026-07-30T00:00:00.000Z"
      },
      "source_class": "blog_post",
      "content_type": "Engineering Post",
      "layer": "agent",
      "domains": [
        "coding"
      ],
      "topics": [
        "cloud-agents",
        "harness-engineering",
        "skills"
      ],
      "verification": {
        "status": "official_source",
        "label": "Official Source",
        "method": "source_feed",
        "verified_at": null
      },
      "uncertainty": [],
      "connected_context": null,
      "lifecycle": "New",
      "published_at": "2026-07-30T00:00:00.000Z",
      "modified_at": "2026-07-30T00:00:00.000Z",
      "supersedes": [],
      "expires_at": null,
      "formats": {
        "html": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992",
        "json": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992.json",
        "markdown": "https://feed7.dev/p/how-we-set-up-our-cloud-agent-environment-5077dc1992.md"
      }
    },
    {
      "schema_version": "1.1",
      "id": "auto-be3ca53745",
      "slug": "gemini-api-managed-agents-3-6-flash-hooks-and-more-be3ca53745",
      "url": "https://feed7.dev/p/gemini-api-managed-agents-3-6-flash-hooks-and-more-be3ca53745",
      "title": "Gemini API Managed Agents: 3.6 Flash, hooks, and more",
      "why_included": "Use pre- and post-tool hooks for policy checks, and cap autonomous loops with max_total_tokens while preserving resumable state.",
      "summary": "Gemini Managed Agents now add model selection, sandbox hooks, token caps, schedules, and free-tier access, covering several controls needed for unattended coding work.",
      "practical_implication": "Add hooks where tool calls need policy checks, linting, or audit output, and set max_total_tokens on autonomous loops. A capped run pauses as incomplete while preserving its environment, so it can resume with a new budget and previous interaction ID.",
      "agent_context": "Gemini Managed Agents now default to **Gemini 3.6 Flash**. The service adds pre- and post-tool hooks, explicit model selection, scheduled triggers, free-tier access, environment management, and persistent files across scheduled runs.\n\nAdd hooks where tool calls need policy checks, linting, or audit output, and set **max_total_tokens** on autonomous loops. A capped run pauses as incomplete while preserving its environment, so it can resume with a new budget and previous interaction ID.\n\nThe agent remains a preview identified as antigravity-preview-05-2026. Scheduled runs reuse a sandbox, which is useful for stateful work but makes cleanup, state drift, and hook failure behavior important operational concerns.",
      "source": {
        "name": "Google",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/expanding-managed-agents-gemini-api-3-6-flash-hooks/",
        "published_at": "2026-07-28T00:00:00.000Z"
      },
      "source_class": "blog_post",
      "content_type": "Official Release",
      "layer": "tools",
      "domains": [
        "coding",
        "security"
      ],
      "topics": [
        "cloud-agents",
        "sandboxing",
        "tool-use"
      ],
      "verification": {
        "status": "official_source",
        "label": "Official Source",
        "method": "source_feed",
        "verified_at": null
      },
      "uncertainty": [],
      "connected_context": null,
      "lifecycle": "New",
      "published_at": "2026-07-28T00:00:00.000Z",
      "modified_at": "2026-07-28T00:00:00.000Z",
      "supersedes": [],
      "expires_at": null,
      "formats": {
        "html": "https://feed7.dev/p/gemini-api-managed-agents-3-6-flash-hooks-and-more-be3ca53745",
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        "markdown": "https://feed7.dev/p/gemini-api-managed-agents-3-6-flash-hooks-and-more-be3ca53745.md"
      }
    },
    {
      "schema_version": "1.1",
      "id": "auto-fec4301fea",
      "slug": "cloud-agents-start-3x-faster-with-builds-fec4301fea",
      "url": "https://feed7.dev/p/cloud-agents-start-3x-faster-with-builds-fec4301fea",
      "title": "Cloud agents start 3x faster with builds",
      "why_included": "Prebuild deterministic dependencies, start session-fresh services separately, and trace each run to its build and commit SHA.",
      "summary": "Cursor Cloud Agents can start from continuously prepared environment snapshots instead of reinstalling each session. Internal time to first token improved 3x, with failed builds falling back to the last good state.",
      "practical_implication": "Builders should move deterministic setup into the install command, keep session-fresh services in the start command, and use team or environment secrets for private registries. Agent runs can be traced to exact builds and commit SHAs.",
      "agent_context": "Cursor’s new **builds** continuously prepare cloud-agent environments with repositories, dependencies, and install scripts already completed. Internally, environments booted **10x faster** and time to first token improved **3x**.\n\nBuilders should move deterministic setup into the install command, keep session-fresh services in the start command, and use team or environment secrets for private registries. Agent runs can be traced to exact builds and commit SHAs.\n\nThe gains are Cursor’s internal measurements, and user results will depend on repository setup. Builds run hourly by default; failed builds are rejected, leaving agents on the last working snapshot, which may be older than the default branch.",
      "source": {
        "name": "Cursor",
        "url": "https://cursor.com/blog/builds",
        "published_at": "2026-08-13T00:00:00.000Z"
      },
      "source_class": "blog_post",
      "content_type": "Engineering Post",
      "layer": "infra",
      "domains": [
        "coding"
      ],
      "topics": [
        "cloud-agents",
        "sandboxing",
        "observability"
      ],
      "verification": {
        "status": "official_source",
        "label": "Official Source",
        "method": "source_feed",
        "verified_at": null
      },
      "uncertainty": [],
      "connected_context": null,
      "lifecycle": "New",
      "published_at": "2026-08-13T00:00:00.000Z",
      "modified_at": "2026-08-13T00:00:00.000Z",
      "supersedes": [],
      "expires_at": null,
      "formats": {
        "html": "https://feed7.dev/p/cloud-agents-start-3x-faster-with-builds-fec4301fea",
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        "markdown": "https://feed7.dev/p/cloud-agents-start-3x-faster-with-builds-fec4301fea.md"
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    }
  ],
  "conflicting_sources": [],
  "superseded_claims": [],
  "corpus_evidence": [
    {
      "title": "Run cloud agents on machines you manage",
      "url": "https://cursor.com/blog/self-hosted-machines",
      "source_name": "Cursor",
      "published_at": "2026-09-02T12:00:00+00:00",
      "summary": "Cursor cloud agents can now execute tools on machines and elastic pools inside your network while Cursor retains planning and inference. This unlocks internal access and custom hardware, not full self-hosting."
    },
    {
      "title": "How do you diffuse AI into the real world? — Varun Shenoy, Long Lake",
      "url": "https://www.youtube.com/watch?v=B0fjR3yaZFU",
      "source_name": "AI Engineer",
      "published_at": "2026-08-28T17:30:33+00:00",
      "summary": "Real-world agent adoption depends on workflow redesign, operational traces, and hands-on enablement. Code-agent patterns help, but service work has messier exceptions and triggers."
    },
    {
      "title": "KV Cache-Aware Routing and P/D Disaggregation on Kubernetes — Yuchen Fama & Ashish Kamra, Red Hat",
      "url": "https://www.youtube.com/watch?v=YXowceUKYJI",
      "source_name": "AI Engineer",
      "published_at": "2026-08-27T14:00:06+00:00",
      "summary": "Agentic inference makes KV-cache locality and prefill pressure first-class scheduling concerns. Red Hat's case study improved latency and capacity, but P/D separation needs suitable traffic and fast networking."
    },
    {
      "title": "The Agent Behind the Curtain: Building the Oz Cloud Agent Platform — Safia Abdalla, Warp",
      "url": "https://www.youtube.com/watch?v=L173Z8DpaJg",
      "source_name": "AI Engineer",
      "published_at": "2026-08-22T17:30:13+00:00",
      "summary": "Warp’s cloud-agent design separates runtime, harness, artifacts, and orchestration so teams can swap tools without fragmenting workflows or removing human review."
    },
    {
      "title": "Vercel Agent is now available in Slack code channels",
      "url": "https://vercel.com/changelog/vercel-agent-is-now-available-in-slack-code-channels",
      "source_name": "Vercel",
      "published_at": "2026-08-20T00:00:00+00:00",
      "summary": "Vercel Agent can now investigate incidents, edit code, and review PRs inside shared Slack code channels, with approval gates and an audit trail for every action."
    },
    {
      "title": "Firetiger joins Cursor",
      "url": "https://cursor.com/blog/firetiger",
      "source_name": "Cursor",
      "published_at": "2026-08-13T19:00:00+00:00",
      "summary": "Cursor is bringing Firetiger’s production-monitoring agents in-house, aiming to connect code generation with rollout checks and incident investigation. Change Monitors are the first named upcoming feature."
    },
    {
      "title": "Always-on agents run production without the on-call tax — Justin Smith, Resolve AI",
      "url": "https://www.youtube.com/watch?v=vSx5IULvBns",
      "source_name": "AI Engineer",
      "published_at": "2026-08-09T14:45:06+00:00",
      "summary": "Always-on production agents can turn releases and operational events into tailored monitoring tasks. The useful pattern is persistent context plus scoped triggers, checks, and escalation."
    },
    {
      "title": "Realtime multiplayer, automation, and you! — Idan Gazit, GitHub",
      "url": "https://www.youtube.com/watch?v=iQ5xldZ9StU",
      "source_name": "AI Engineer",
      "published_at": "2026-08-08T21:30:06+00:00",
      "summary": "GitHub Next’s prototypes move coding agents from personal chat into governed background workflows and shared cloud workspaces that can act on team conversation."
    },
    {
      "title": "Give every agent in Herdr its own Vercel Sandbox",
      "url": "https://vercel.com/changelog/give-every-agent-in-herdr-its-own-vercel-sandbox",
      "source_name": "Vercel",
      "published_at": "2026-08-06T23:01:00+00:00",
      "summary": "Herdr can place each terminal coding agent in a separate Vercel Sandbox, then return its work as an opt-in Git patch instead of letting remote edits touch the local checkout."
    },
    {
      "title": "Introducing the new v0 API",
      "url": "https://vercel.com/blog/introducing-the-new-v0-api",
      "source_name": "Vercel",
      "published_at": "2026-08-05T04:00:00+00:00",
      "summary": "The generally available v0 API gives agents headless app generation with stateful chats, sandboxed execution, streamed traces, live previews, and one-call Vercel deployment."
    },
    {
      "title": "How Factory scaled its cloud backend to one billion monthly requests on Vercel",
      "url": "https://vercel.com/blog/how-factory-scaled-its-cloud-backend-to-one-billion-monthly-requests-on-vercel",
      "source_name": "Vercel",
      "published_at": "2026-08-03T04:00:00+00:00",
      "summary": "Factory runs API routes, middleware, and webhooks in one Next.js backend at one billion daily requests and 350ms p95. Its agents also deploy internal tools through Vercel APIs under review guardrails."
    },
    {
      "title": "How Factory scaled its cloud backend to tens of millions of daily requests on Vercel",
      "url": "https://vercel.com/blog/how-factory-scaled-its-cloud-backend-to-tens-of-millions-of-daily-requests",
      "source_name": "Vercel",
      "published_at": "2026-08-03T04:00:00+00:00",
      "summary": "Factory runs its full cloud backend in one Next.js app while agents deploy internal tools through Vercel APIs. The case study is useful evidence for keeping agent-operated infrastructure programmable and guarded."
    },
    {
      "title": "Introducing Cursor Start",
      "url": "https://cursor.com/blog/cursor-start-india",
      "source_name": "Cursor",
      "published_at": "2026-07-28T12:00:00+00:00",
      "summary": "Cursor Start gives developers in India a ₹649 monthly tier with Grok 4.5, Composer, cloud agents, mobile control, and UPI payments, positioned between Free and Pro."
    },
    {
      "title": "Run Claude Managed Agents with Chat SDK",
      "url": "https://vercel.com/changelog/claude-managed-agents-with-chat-sdk",
      "source_name": "Vercel",
      "published_at": "2026-07-27T00:00:00+00:00",
      "summary": "Chat SDK can put Claude Managed Agents behind browser and messaging interfaces while Anthropic retains the loop, tools, session state, and research sandbox."
    },
    {
      "title": "From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAI",
      "url": "https://www.youtube.com/watch?v=OqM67QG_Ikk",
      "source_name": null,
      "published_at": null,
      "summary": "Long-running coding agents need isolated, persistent sandboxes: microVMs limit kernel exposure, while incremental snapshots enable recovery, branching, and faster placement across a fleet."
    },
    {
      "title": "Expanding Managed Agents in Gemini API: background tasks, remote MCP and more",
      "url": "https://blog.google/innovation-and-ai/technology/developers-tools/expanding-managed-agents-gemini-api/",
      "source_name": null,
      "published_at": null,
      "summary": "Gemini Managed Agents can now run asynchronously, connect to remote MCP servers, call client-side functions, and rotate credentials without losing sandbox state."
    },
    {
      "title": "openai/codex",
      "url": "https://github.com/openai/codex",
      "source_name": "GitHub",
      "published_at": null,
      "summary": "Codex offers one coding agent across the terminal, supported IDEs, a desktop app, and the web, with local CLI installs for major desktop platforms and ChatGPT-plan sign-in."
    },
    {
      "title": "Introducing Claude Tag",
      "url": "https://www.anthropic.com/news/introducing-claude-tag",
      "source_name": null,
      "published_at": null,
      "summary": "Claude Tag puts a persistent Claude in Slack channels: tag @Claude to delegate async tasks running hours or days on Opus 4.8. Beta for Team/Enterprise; Anthropic says it writes 65% of its product team's code."
    },
    {
      "title": "What we’ve learned building cloud agents",
      "url": "https://cursor.com/blog/cloud-agent-lessons",
      "source_name": null,
      "published_at": null,
      "summary": "Cursor's writeup on a year of cloud agents: complete dev environments matter most, a Temporal rewrite pushed reliability past 99%, and over 40% of Cursor's internal PRs now come from cloud agents."
    },
    {
      "title": "Scaling Managed Agents: Decoupling the brain from the hands",
      "url": "https://www.anthropic.com/engineering/managed-agents",
      "source_name": null,
      "published_at": null,
      "summary": "Anthropic details Managed Agents, a hosted long-horizon agent service that separates the harness from its sandboxes — stateless brains, replaceable containers, and a 60% drop in p50 time-to-first-token."
    },
    {
      "title": "Agent Runs now available in the Vercel MCP and CLI",
      "url": "https://vercel.com/changelog/agent-runs-vercel-mcp-cli",
      "source_name": null,
      "published_at": null,
      "summary": "Your coding agent can now pull its own Agent Runs traces—reasoning, tool calls, token usage—from Vercel via MCP or CLI, so it can debug its runs and refine skills from real production behavior."
    },
    {
      "title": "Build from anywhere with Cursor for iOS",
      "url": "https://cursor.com/blog/ios-mobile-app",
      "source_name": null,
      "published_at": null,
      "summary": "Cursor shipped a native iOS app in public beta: launch cloud agents, remote-control agents on your local machine, and merge PRs from your phone. Paid plans only; Composer 2.5 runs are 75% off until July 5."
    }
  ]
}