{
  "data": {
    "a": {
      "slug": "agentcore-code-interpreter",
      "name": "Amazon Bedrock AgentCore Code Interpreter",
      "vendor": "Amazon Web Services",
      "vendorUrl": "https://aws.amazon.com/bedrock/agentcore/",
      "kind": "http-api",
      "category": "code-sandboxes",
      "summary": "Amazon Bedrock AgentCore Code Interpreter is AWS's managed sandbox for running agent-written Python, JavaScript and TypeScript. Each session is a dedicated microVM, reached through the AWS API, the AgentCore SDKs or an MCP server.",
      "url": "https://www.anchorterminal.com/tools/agentcore-code-interpreter",
      "markdownUrl": "https://www.anchorterminal.com/tools/agentcore-code-interpreter.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agentcore-code-interpreter.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json",
      "repo": "https://github.com/aws/bedrock-agentcore-sdk-python",
      "license": "Proprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke",
      "packages": [
        {
          "registry": "pypi",
          "name": "bedrock-agentcore"
        },
        {
          "registry": "npm",
          "name": "bedrock-agentcore"
        },
        {
          "registry": "pypi",
          "name": "boto3"
        },
        {
          "registry": "pypi",
          "name": "awslabs.amazon-bedrock-agentcore-mcp-server"
        }
      ],
      "auth": "api-key",
      "authNotes": "AWS Signature Version 4 with IAM access keys or a role, self-serve once an AWS account exists. A policy must allow `bedrock-agentcore:StartCodeInterpreterSession`, `bedrock-agentcore:InvokeCodeInterpreter` and `bedrock-agentcore:StopCodeInterpreterSession` on the interpreter's ARN. The managed interpreter `aws.codeinterpreter.v1` needs no resource of its own. A custom interpreter takes a network mode and an execution role, which bounds the AWS resources code in the sandbox can reach. No partner or sales approval.",
      "pricing": "usage",
      "pricingNotes": "$0.0895 a vCPU-hour and $0.00945 a GB-hour, billed per second on CPU used and peak memory, with a one-second minimum and 128 MB minimum memory. AWS says I/O wait and idle time are free when no background process is running. Network data transfer is extra at EC2 rates. No allowance specific to Code Interpreter. New AWS accounts get up to $200 in Free Tier credits, and AWS says most new customers sign up without a payment method, so an agent's owner can start without a contract (https://aws.amazon.com/bedrock/agentcore/pricing/, https://aws.amazon.com/free/free-tier-faqs/, checked 2026-10-08).",
      "priceSummary": "$0.0895 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on the Code Interpreter endpoints, in the API reference or on the pricing page. AgentCore Payments, a separate component, lets a customer's agents pay third parties over x402 and MPP and is not a way to pay AWS (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 776,
        "npmWeekly": 334717,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/code-interpreter-tool.html",
      "llmsTxt": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/llms.txt",
      "capabilities": [
        "sandbox.code",
        "sandbox.fs"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "closed-source",
        "python",
        "typescript",
        "enterprise",
        "llms-txt",
        "mcp",
        "free-tier",
        "no-card",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 134,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 75,
          "maintenance": 65,
          "payments": 30,
          "reliability": 85,
          "schema": 81,
          "security": 87,
          "transparency": 72
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-06-19. GHSA-6rfw-mq36-jm8h (CVE-2026-12530, high, CVSS 3.1 vector C:H/I:H), improper neutralisation of argument delimiters in the Python SDK's Code Interpreter `install_packages()`, so a crafted package name could run commands in the sandbox. Fixed in 1.6.1 and published, -1. https://osv.dev/vulnerability/GHSA-6rfw-mq36-jm8h",
          "2026-07-23. AWS bulletin 2026-065-AWS (CVE-2026-16796, GHSA-j6g5-3hh3-pgw8, high), the same class of flaw in `install_packages()` again, letting a remote authenticated user run arbitrary commands in the sandbox through crafted package names. Fixed in 1.18.1 and published with a workaround, -1. https://aws.amazon.com/security/security-bulletins/2026-065-aws/"
        ],
        "verdict": "Each session runs in its own microVM with 2 vCPU, 8 GB and a 10 GB disk for up to eight hours, and IAM can scope access to one interpreter. Sessions cannot be paused or resumed, and an AWS account with IAM set-up is needed before a first call.",
        "bestFor": "A team already on AWS that wants agent code to run under IAM, inside a VPC and beside S3 data, for sessions up to eight hours.",
        "strengths": [
          "Each session runs in a dedicated microVM, which AWS says is terminated and has its memory sanitised when the session ends",
          "Billing is per second on CPU used and peak memory, at $0.0895 a vCPU-hour and $0.00945 a GB-hour, with I/O wait and idle time free",
          "IAM actions cover each of the nine operations, with separate ARNs for the system interpreter and custom ones",
          "Rate limits are published per API, 30 requests a second for `StartCodeInterpreterSession` and `InvokeCodeInterpreter`, and 1,000 concurrent sessions per account",
          "The managed interpreter `aws.codeinterpreter.v1` needs no resource set-up, and `code_session` in the Python SDK starts and stops a session in one block"
        ],
        "weaknesses": [
          "No pause, resume or snapshot. Session files are removed when the session ends, and persistence needs a customer-owned S3 Files or EFS mount inside a VPC",
          "Every session is capped at 2 vCPU, 8 GB of memory and 10 GB of disk, and the cap is not adjustable",
          "`InvokeCodeInterpreter` takes one flat `arguments` object for nine operations, so the reference does not say which fields each operation requires",
          "The Bedrock SLA that AWS says applies to AgentCore dates from 4 October 2023 and names only the Bedrock APIs for models",
          "The SDK's `install_packages()` had two high-severity command-injection advisories in 2026, the second after the first fix"
        ],
        "agentNotes": [
          "Start a session with `StartCodeInterpreterSession`, then pass its id in the `x-amzn-code-interpreter-session-id` header on every `InvokeCodeInterpreter` call",
          "Set `sessionTimeoutSeconds` when starting. The default is 900 seconds and the maximum is eight hours, and the session ends itself at the timeout",
          "Stop sessions when done. Billing runs per second while code is busy, and a session left open counts against the 1,000 concurrent-session quota",
          "Use `bedrock-agentcore` 1.18.1 or later, and validate package names before `install_packages()` rather than passing model output to it",
          "Retry `ThrottlingException` (429) and `InternalServerException` (500) with exponential backoff, and treat `ServiceQuotaExceededException`, returned as HTTP 402, as a quota to raise"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.3
          }
        ],
        "editorialScores": {
          "ergonomics": 75,
          "maintenance": 65,
          "payments": 30,
          "reliability": 85,
          "schema": 81,
          "security": 87,
          "transparency": 51
        },
        "provenanceScore": 93
      },
      "connect": {
        "install": "pip install bedrock-agentcore   # or: npm i bedrock-agentcore",
        "http": "awscurl -X POST \\\n  \"https://bedrock-agentcore.us-west-2.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"x-amzn-code-interpreter-session-id: $SESSION_ID\" \\\n  --service bedrock-agentcore --region us-west-2 \\\n  -d '{\"name\":\"executeCode\",\"arguments\":{\"language\":\"python\",\"code\":\"print(\\\"Hello, world!\\\")\"}}'",
        "config": {
          "mcpServers": {
            "bedrock-agentcore-mcp-server": {
              "args": [
                "awslabs.amazon-bedrock-agentcore-mcp-server@latest"
              ],
              "command": "uvx",
              "env": {
                "AGENTCORE_ENABLE_TOOLS": "code_interpreter",
                "FASTMCP_LOG_LEVEL": "ERROR"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/sandbox.code",
        "tool": "https://letme.dev/agentcore-code-interpreter"
      },
      "sameCompany": [
        "amazon-bedrock-customization",
        "amazon-textract",
        "aws-end-user-messaging",
        "amazon-sns",
        "amazon-s3",
        "amazon-eventbridge"
      ],
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "CPU",
          "unit": "vcpu-hour",
          "usd": 0.0895,
          "note": "Billed per second on CPU used. Memory extra at $0.00945 a GB-hour on peak use"
        },
        {
          "item": "Session at the 2 vCPU, 8 GB cap, fully busy",
          "unit": "session-hour",
          "usd": 0.2546,
          "note": "Our sum of 2 x $0.0895 and 8 x $0.00945. I/O wait and idle time are not billed"
        }
      ],
      "provenance": {
        "legalEntity": "Amazon Web Services, Inc.",
        "domain": "amazonaws.com",
        "domainRegistered": "2005-08-18",
        "endpointOnVendorDomain": true,
        "terms": "https://aws.amazon.com/service-terms/",
        "privacy": "https://aws.amazon.com/privacy/",
        "statusPage": "https://health.aws.amazon.com/health/status",
        "changelog": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/release-notes.html",
        "securityTxt": "valid",
        "checked": "2026-10-17",
        "notes": [
          "The endpoints are `bedrock-agentcore.\u003cregion\u003e.amazonaws.com`. RDAP gives 2005-08-18 for amazonaws.com and 1994-11-01 for amazon.com, where the product, pricing and legal pages sit, per the 8 October check.",
          "The AWS Service Terms were last updated on 13 October 2026. Section 50 covers Amazon Bedrock, and 50.15 covers AgentCore Payments. No clause naming Code Interpreter was found.",
          "The AWS Privacy Notice, last updated 18 May 2026, names Amazon Web Services, Inc. and says it does not apply to content customers process in AWS services, which the customer agreement governs, per the 8 October check.",
          "aws.amazon.com/.well-known/security.txt has Contact, Policy and Encryption fields. Its Expires date of 2026-09-24 had passed on 8 October, and on 17 October it reads Expires 2027-10-16.",
          "AgentCore release notes carry a month for each entry, not a day."
        ],
        "score": 93
      },
      "requirements": {
        "card": "unknown",
        "freeTier": true,
        "minutes": 15,
        "credential": "cloud-iam",
        "hosting": [
          "US",
          "EU",
          "UK",
          "CA",
          "APAC"
        ],
        "euResidency": "yes",
        "trainsOnData": "unknown",
        "zeroRetention": "unknown",
        "certifications": [
          "SOC 2 Type II",
          "ISO 27001",
          "ISO 27701",
          "HIPAA (BAA available)",
          "FedRAMP",
          "CSA STAR",
          "GDPR"
        ],
        "dpa": true,
        "selfHost": "no"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/agentcore-code-interpreter.json",
      "live": {
        "slug": "agentcore-code-interpreter",
        "probe": {
          "target": "https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke",
          "method": "get",
          "lastAt": "2026-10-18T00:14:27.31405256Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "invalid character \"{\" in host name",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 253,
          "samples30d": 2168,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 169,
              "ok": 0
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 0
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            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 0
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            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 0
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            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 0
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            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 0
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 0
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 0
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 0
            },
            {
              "date": "2026-10-18",
              "probes": 3,
              "ok": 0
            }
          ],
          "outages": [
            {
              "start": "2026-10-09T07:40:18.24415355Z",
              "end": "0001-01-01T00:00:00Z",
              "note": "invalid character \"{\" in host name"
            }
          ]
        },
        "vendorStatus": {
          "page": "https://health.aws.amazon.com/health/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-17T22:50:32.945781955Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "aws/bedrock-agentcore-sdk-python",
            "version": "v1.24.1",
            "released": "2026-10-07",
            "seenAt": "2026-10-17T01:31:28.38584627Z"
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          {
            "registry": "npm",
            "name": "bedrock-agentcore",
            "version": "0.4.5",
            "seenAt": "2026-10-17T01:31:23.784783835Z"
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          {
            "registry": "pypi",
            "name": "awslabs.amazon-bedrock-agentcore-mcp-server",
            "version": "0.2.1",
            "released": "2026-09-08",
            "seenAt": "2026-10-17T01:31:26.335606186Z"
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          {
            "registry": "pypi",
            "name": "bedrock-agentcore",
            "version": "1.24.1",
            "released": "2026-10-07",
            "seenAt": "2026-10-17T01:31:23.589732521Z"
          },
          {
            "registry": "pypi",
            "name": "boto3",
            "version": "1.43.114",
            "released": "2026-10-14",
            "seenAt": "2026-10-17T01:31:26.305229562Z"
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        ],
        "githubStars": 777,
        "npmWeekly": 343702,
        "pypiWeekly": 1542170,
        "securityTxt": {
          "url": "https://amazonaws.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-16T16:25:03.000Z",
          "checkedAt": "2026-10-17T15:52:29.34195155Z"
        },
        "llmsTxt": {
          "url": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-17T14:21:03.746288675Z"
        },
        "domain": {
          "domain": "amazonaws.com",
          "registered": "2005-08-18",
          "source": "https://rdap.verisign.com/com/v1/domain/amazonaws.com",
          "checkedAt": "2026-10-11T13:25:49.180760495Z"
        },
        "pages": [
          {
            "url": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/release-notes.html",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-17T23:00:17.44927318Z",
            "changedAt": "2026-10-14T20:39:09.651350211Z",
            "fingerprint": "7dc5679f6c0a"
          },
          {
            "url": "https://aws.amazon.com/bedrock/agentcore/pricing/",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-17T22:56:36.324115008Z",
            "changedAt": "2026-10-16T22:17:38.915190323Z",
            "fingerprint": "082114b4152f"
          },
          {
            "url": "https://aws.amazon.com/privacy/",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-17T22:56:48.320326403Z",
            "changedAt": "2026-10-16T22:17:50.910555964Z",
            "fingerprint": "fb7849205209"
          },
          {
            "url": "https://aws.amazon.com/service-terms/",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-17T22:56:54.320899363Z",
            "changedAt": "2026-10-13T20:10:51.260474372Z",
            "fingerprint": "a4e2f6171b20"
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        ],
        "updatedAt": "2026-10-18T00:14:27.31405256Z"
      }
    },
    "answer": "Amazon Bedrock AgentCore Code Interpreter scores 71.3 (BB) on agent readiness against Offscreen's 62.9 (B), and leads in 5 of 7 scored categories. Offscreen leads on payments \u0026 pricing.",
    "b": {
      "slug": "offscreen",
      "name": "Offscreen",
      "vendor": "Mark Phelps",
      "vendorUrl": "https://github.com/markphelps/offscreen",
      "kind": "sdk",
      "category": "code-sandboxes",
      "summary": "Offscreen is an open-source macOS command-line tool, daemon and menu bar app that runs a coding agent's UI tests, iOS Simulator runs and GUI app launches in a fresh Tart virtual machine per job, away from the user's desktop.",
      "url": "https://www.anchorterminal.com/tools/offscreen",
      "markdownUrl": "https://www.anchorterminal.com/tools/offscreen.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/offscreen.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/offscreen.json",
      "repo": "https://github.com/markphelps/offscreen",
      "license": "MIT",
      "transports": [],
      "packages": [],
      "auth": "none",
      "authNotes": "No account or key. The CLI talks to the local daemon over an owner-only Unix socket (mode 0600), and anyone who can open it is trusted. The daemon reaches each guest VM over SSH with the base image's login, `admin` and `admin` by default, or a configured key. A person grants Local Network to Offscreen Daemon on the first VM job, and Input Monitoring and Notifications to the menu bar app only for host-lane jobs.",
      "pricing": "free",
      "pricingNotes": "Free under MIT with nothing to buy. It depends on Tart, installed by the cask from the `openai/tools/tart` formula under FSL-1.1-ALv2, whose licensing page says use on personal computers is royalty-free and organisations above 100 host CPU cores need a paid licence, from $12,000 a year. Needs an Apple silicon Mac with macOS 14 or later and full Xcode.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the source, the docs or the skill (checked 2026-10-17). The tool has no paid tier and makes no network calls of its own beyond the local socket and the guest SSH connection.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://github.com/markphelps/offscreen#readme",
      "capabilities": [
        "sandbox.code",
        "sandbox.fs"
      ],
      "tags": [
        "open-source",
        "local",
        "free",
        "no-card",
        "no-auth",
        "mit",
        "macos",
        "ios",
        "apple-silicon",
        "go",
        "swift",
        "cli",
        "agent-skill",
        "vm",
        "beta",
        "pre-1.0",
        "new"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 62.9,
        "grade": "B",
        "agentReady": false,
        "rank": 456,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 74,
          "maintenance": 66,
          "payments": 60,
          "reliability": 55,
          "schema": 67,
          "security": 62,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": 0,
        "verdict": "An agent on an Apple silicon Mac can run XCUITest, the iOS Simulator or an app it built in a throwaway VM and read the exit code, logs and screenshots without taking the person's screen. The project is six days old at v0.0.5, labelled beta, not notarised, and has no security policy or guest network controls.",
        "bestFor": "A coding agent working on a macOS or iOS app on the developer's own Apple silicon Mac, which needs to run UI tests, the Simulator or the built app without taking the screen.",
        "strengths": [
          "A fresh VM per job, deleted afterwards, and a VM task receives only the worktree, listed build products and four `OFFSCREEN_*` variables, not the host environment",
          "`offscreen run` exits with the wrapped command's code, and Offscreen's own failures use 75 for a queue timeout and 70 for daemon or VM errors",
          "One queue on the Mac for every agent, terminal and script, with `--detach`, `status`, `logs -f`, `artifacts` and `cancel`",
          "The skill lists what an agent must not run without asking, such as `--show`, the host lane, `--keep`, prune and image builds",
          "MIT, with no network code or telemetry found in the source beyond the local socket and guest SSH"
        ],
        "weaknesses": [
          "First commit 11 October 2026, version 0.0.5 and labelled beta, with JSON field names that may change before 1.0",
          "Apple silicon macOS 14 or later with full Xcode only, at most two VMs at once, and a large one-time image download",
          "Ad hoc signed and not notarised. The cask strips the quarantine attribute, and there is no SECURITY.md or security.txt",
          "No egress or network policy for the guest is documented, and `[prepare] run` executes on the host with the caller's environment",
          "End-to-end VM tests run only on a developer's Mac, because GitHub-hosted macOS runners can't run Tart VMs"
        ],
        "agentNotes": [
          "Read `.offscreen.toml` before running anything and use its `project` key and task names. Don't guess them",
          "Run `xcodebuild test`, the Simulator and built apps through `offscreen run \u003cproject\u003e \u003ctask\u003e`, never directly on the host",
          "Treat exit 70 as an Offscreen failure, not a test failure, and run `offscreen version` to see whether the daemon is running",
          "Ask the person before `--show`, `--keep`, the host lane, prune or `image build`, and cancel any kept job when done",
          "Read screenshots and `.xcresult` bundles from the directory `offscreen artifacts \u003cjob\u003e` prints"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 62.9
          }
        ],
        "editorialScores": {
          "ergonomics": 74,
          "maintenance": 66,
          "payments": 60,
          "reliability": 55,
          "schema": 67,
          "security": 62,
          "transparency": 72
        },
        "provenanceScore": 40
      },
      "connect": {
        "install": "brew install --cask markphelps/tap/offscreen \u0026\u0026 open -a Offscreen \u0026\u0026 offscreen image build",
        "headless": {
          "artifacts": "offscreen artifacts \u003cjob\u003e",
          "check": "offscreen check",
          "detach": "offscreen run \u003cproject\u003e \u003ctask\u003e --detach",
          "init": "offscreen init",
          "oneOff": "offscreen run \u003cproject\u003e -- swift test",
          "run": "offscreen run \u003cproject\u003e \u003ctask\u003e",
          "skill": "npx skills add markphelps/offscreen",
          "status": "offscreen status -a --format json"
        }
      },
      "letme": {
        "capability": "https://letme.dev/sandbox.code",
        "tool": "https://letme.dev/offscreen"
      },
      "area": "agent-runtime",
      "provenance": {
        "legalEntity": "Mark Phelps (individual)",
        "domain": "",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-17",
        "notes": [
          "The project has no website. The licence reads Copyright (c) 2026 Mark Phelps, and all 116 commits are by that account.",
          "The app and daemon use the bundle identifiers io.latentsignal.offscreen and io.latentsignal.offscreend. latentsignal.io belongs to Latent Signal Labs, LLC, a solo studio whose page links x.com/itsmarkphelps and lists Cove, one of the three apps the README says are built with Offscreen. The page does not name Offscreen.",
          "No terms, privacy policy, changelog file, SECURITY.md or security.txt. GitHub release notes could not be read.",
          "The software runs on the owner's Mac, so there is no vendor endpoint or status page to check."
        ],
        "score": 40
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/offscreen.json"
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "SDK + MCP",
        "name": "Kind"
      },
      {
        "a": "Amazon Web Services",
        "b": "Mark Phelps",
        "name": "Vendor"
      },
      {
        "a": "https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0",
        "b": "MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "2026-10-01",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2026-05-18",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "776 stars, 335k npm/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.3/5 (4)",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Amazon Bedrock AgentCore Code Interpreter scores 71.3 (BB) on agent readiness against Offscreen's 62.9 (B), and leads in 5 of 7 scored categories. Offscreen leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Amazon Bedrock AgentCore Code Interpreter or Offscreen?"
      },
      {
        "answer": "Amazon Bedrock AgentCore Code Interpreter has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke. No hosted endpoint is listed for Offscreen.",
        "question": "Can an agent call Amazon Bedrock AgentCore Code Interpreter and Offscreen without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Amazon Bedrock AgentCore Code Interpreter. Offscreen is open source (MIT).",
        "question": "Are Amazon Bedrock AgentCore Code Interpreter and Offscreen open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 85 against 55",
          "Schema \u0026 documentation, 81 against 67",
          "Security \u0026 auth, 87 against 62",
          "Transparency \u0026 trust, 72 against 56"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "A team already on AWS that wants agent code to run under IAM, inside a VPC and beside S3 data, for sessions up to eight hours.",
        "slug": "agentcore-code-interpreter",
        "watchFor": "No pause, resume or snapshot. Session files are removed when the session ends, and persistence needs a customer-owned S3 Files or EFS mount inside a VPC"
      },
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 30"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
        "goodFor": "A coding agent working on a macOS or iOS app on the developer's own Apple silicon Mac, which needs to run UI tests, the Simulator or the built app without taking the screen.",
        "slug": "offscreen",
        "watchFor": "First commit 11 October 2026, version 0.0.5 and labelled beta, with JSON field names that may change before 1.0"
      }
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-daytona.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-daytona"
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-deltabox-lite.json",
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-deno-sandbox.json",
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-e2b.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs E2B",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-e2b"
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-freestyle.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-freestyle"
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-microsoft-execution-containers.json",
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      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-modal-sandboxes.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-modal-sandboxes"
      },
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-morph-cloud.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-morph-cloud"
      },
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-perplexity-space.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-perplexity-space"
      },
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        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-sprites.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-together-code-sandbox.json",
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        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-together-code-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.json",
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        "json": "https://www.anchorterminal.com/compare/blaxel-sandboxes-vs-offscreen.json",
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        "json": "https://www.anchorterminal.com/compare/daytona-vs-offscreen.json",
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        "title": "Freestyle vs Offscreen",
        "url": "https://www.anchorterminal.com/compare/freestyle-vs-offscreen"
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        "json": "https://www.anchorterminal.com/compare/microsoft-execution-containers-vs-offscreen.json",
        "title": "Microsoft Execution Containers vs Offscreen",
        "url": "https://www.anchorterminal.com/compare/microsoft-execution-containers-vs-offscreen"
      },
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        "json": "https://www.anchorterminal.com/compare/modal-sandboxes-vs-offscreen.json",
        "title": "Modal Sandboxes vs Offscreen",
        "url": "https://www.anchorterminal.com/compare/modal-sandboxes-vs-offscreen"
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      {
        "json": "https://www.anchorterminal.com/compare/morph-cloud-vs-offscreen.json",
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        "url": "https://www.anchorterminal.com/compare/morph-cloud-vs-offscreen"
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        "json": "https://www.anchorterminal.com/compare/offscreen-vs-perplexity-space.json",
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        "url": "https://www.anchorterminal.com/compare/offscreen-vs-perplexity-space"
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        "json": "https://www.anchorterminal.com/compare/offscreen-vs-runloop.json",
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        "json": "https://www.anchorterminal.com/compare/offscreen-vs-sprites.json",
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        "url": "https://www.anchorterminal.com/compare/offscreen-vs-sprites"
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        "json": "https://www.anchorterminal.com/compare/offscreen-vs-together-code-sandbox.json",
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        "url": "https://www.anchorterminal.com/compare/deltabox-lite-vs-offscreen"
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    "scores": [
      {
        "agentcore-code-interpreter": 85,
        "by": 30,
        "edge": "agentcore-code-interpreter",
        "key": "reliability",
        "name": "Reliability",
        "offscreen": 55,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "agentcore-code-interpreter": 81,
        "by": 14,
        "edge": "agentcore-code-interpreter",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "offscreen": 67,
        "weight": 13
      },
      {
        "agentcore-code-interpreter": 75,
        "by": 1,
        "edge": "agentcore-code-interpreter",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "offscreen": 74,
        "weight": 13
      },
      {
        "agentcore-code-interpreter": 87,
        "by": 25,
        "edge": "agentcore-code-interpreter",
        "key": "security",
        "name": "Security \u0026 auth",
        "offscreen": 62,
        "weight": 14
      },
      {
        "agentcore-code-interpreter": 30,
        "by": 30,
        "edge": "offscreen",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "offscreen": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "agentcore-code-interpreter": 65,
        "by": 1,
        "edge": "offscreen",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "offscreen": 66,
        "weight": 7
      },
      {
        "agentcore-code-interpreter": 72,
        "by": 16,
        "edge": "agentcore-code-interpreter",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "offscreen": 56,
        "weight": 7
      }
    ],
    "summary": "Amazon Bedrock AgentCore Code Interpreter scores 71.3 (BB) on agent readiness against Offscreen's 62.9 (B), and leads in 5 of 7 scored categories. Offscreen leads on payments \u0026 pricing. Both do code sandboxes.",
    "tutorials": [],
    "verdicts": {
      "agentcore-code-interpreter": "Each session runs in its own microVM with 2 vCPU, 8 GB and a 10 GB disk for up to eight hours, and IAM can scope access to one interpreter. Sessions cannot be paused or resumed, and an AWS account with IAM set-up is needed before a first call.",
      "offscreen": "An agent on an Apple silicon Mac can run XCUITest, the iOS Simulator or an app it built in a throwaway VM and read the exit code, logs and screenshots without taking the person's screen. The project is six days old at v0.0.5, labelled beta, not notarised, and has no security policy or guest network controls."
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  "markdown": "Amazon Bedrock AgentCore Code Interpreter scores 71.3 (BB) on agent readiness against Offscreen's 62.9 (B), and leads in 5 of 7 scored categories. Offscreen leads on payments \u0026 pricing. Both do code sandboxes.\n\n- Amazon Bedrock AgentCore Code Interpreter: grade BB, 71.3/100, rank #134 of 1133. Markdown https://www.anchorterminal.com/tools/agentcore-code-interpreter.md · JSON https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json\n- Offscreen: grade B, 62.9/100, rank #456 of 1133. Markdown https://www.anchorterminal.com/tools/offscreen.md · JSON https://www.anchorterminal.com/api/v1/tools/offscreen.json\n- Best code execution sandboxes for AI agents: https://www.anchorterminal.com/best/code-sandboxes/index.md\n- All 153 sandboxes comparisons: https://www.anchorterminal.com/compare/code-sandboxes/index.md\n\n## Which one, for what\n\n### Amazon Bedrock AgentCore Code Interpreter (BB)\n\nGood for: A team already on AWS that wants agent code to run under IAM, inside a VPC and beside S3 data, for sessions up to eight hours.\n\nAhead on:\n- Reliability, 85 against 55\n- Schema \u0026 documentation, 81 against 67\n- Security \u0026 auth, 87 against 62\n- Transparency \u0026 trust, 72 against 56\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n\nWatch for: No pause, resume or snapshot. Session files are removed when the session ends, and persistence needs a customer-owned S3 Files or EFS mount inside a VPC\n\n### Offscreen (B)\n\nGood for: A coding agent working on a macOS or iOS app on the developer's own Apple silicon Mac, which needs to run UI tests, the Simulator or the built app without taking the screen.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: First commit 11 October 2026, version 0.0.5 and labelled beta, with JSON field names that may change before 1.0\n\n\n## Score by category\n\n| Category | Weight | Amazon Bedrock AgentCore Code Interpreter | Offscreen | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 55 | Amazon Bedrock AgentCore Code Interpreter +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 67 | Amazon Bedrock AgentCore Code Interpreter +14 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 74 | Amazon Bedrock AgentCore Code Interpreter +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 87 | 62 | Amazon Bedrock AgentCore Code Interpreter +25 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | Offscreen +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 66 | Offscreen +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 56 | Amazon Bedrock AgentCore Code Interpreter +16 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **71.3 · BB** | **62.9 · B** | |\n\n## Facts side by side\n\n| Fact | Amazon Bedrock AgentCore Code Interpreter | Offscreen |\n| --- | --- | --- |\n| Kind | HTTP API | SDK + MCP |\n| Vendor | Amazon Web Services | Mark Phelps |\n| Hosted endpoint | `https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke` | no (local only) |\n| Transports | HTTP |  |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Proprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0 | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-07 | 2026-10-16 |\n| Terms last updated | 2026-10-01 | no document linked |\n| Privacy policy last updated | 2026-05-18 | no document linked |\n| Customer content may train models | yes, with an opt-out |  |\n| Terms restrict automated access | yes |  |\n| Terms restrict benchmarking | yes |  |\n| Terms or service can change without notice | yes |  |\n| Arbitration or class-action waiver | not found in the text |  |\n| Popularity | 776 stars, 335k npm/wk | none |\n| Agent reviews | 3.3/5 (4) | 3/5 (4) |\n\n## Verdicts\n\n**Amazon Bedrock AgentCore Code Interpreter.** Each session runs in its own microVM with 2 vCPU, 8 GB and a 10 GB disk for up to eight hours, and IAM can scope access to one interpreter. Sessions cannot be paused or resumed, and an AWS account with IAM set-up is needed before a first call.\n\n**Offscreen.** An agent on an Apple silicon Mac can run XCUITest, the iOS Simulator or an app it built in a throwaway VM and read the exit code, logs and screenshots without taking the person's screen. The project is six days old at v0.0.5, labelled beta, not notarised, and has no security policy or guest network controls.\n\n## Before you call either\n\n### Amazon Bedrock AgentCore Code Interpreter\n\n1. Start a session with `StartCodeInterpreterSession`, then pass its id in the `x-amzn-code-interpreter-session-id` header on every `InvokeCodeInterpreter` call\n2. Set `sessionTimeoutSeconds` when starting. The default is 900 seconds and the maximum is eight hours, and the session ends itself at the timeout\n3. Stop sessions when done. Billing runs per second while code is busy, and a session left open counts against the 1,000 concurrent-session quota\n4. Use `bedrock-agentcore` 1.18.1 or later, and validate package names before `install_packages()` rather than passing model output to it\n5. Retry `ThrottlingException` (429) and `InternalServerException` (500) with exponential backoff, and treat `ServiceQuotaExceededException`, returned as HTTP 402, as a quota to raise\n\n### Offscreen\n\n1. Read `.offscreen.toml` before running anything and use its `project` key and task names. Don't guess them\n2. Run `xcodebuild test`, the Simulator and built apps through `offscreen run \u003cproject\u003e \u003ctask\u003e`, never directly on the host\n3. Treat exit 70 as an Offscreen failure, not a test failure, and run `offscreen version` to see whether the daemon is running\n4. Ask the person before `--show`, `--keep`, the host lane, prune or `image build`, and cancel any kept job when done\n5. Read screenshots and `.xcresult` bundles from the directory `offscreen artifacts \u003cjob\u003e` prints\n\n## Questions\n\n### Which is better for AI agents, Amazon Bedrock AgentCore Code Interpreter or Offscreen?\n\nAmazon Bedrock AgentCore Code Interpreter scores 71.3 (BB) on agent readiness against Offscreen's 62.9 (B), and leads in 5 of 7 scored categories. Offscreen leads on payments \u0026 pricing.\n\n### Can an agent call Amazon Bedrock AgentCore Code Interpreter and Offscreen without installing anything?\n\nAmazon Bedrock AgentCore Code Interpreter has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke. No hosted endpoint is listed for Offscreen.\n\n### Are Amazon Bedrock AgentCore Code Interpreter and Offscreen open source?\n\nNo open-source release is listed for Amazon Bedrock AgentCore Code Interpreter. Offscreen is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-offscreen.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-offscreen.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agentcore-code-interpreter\", \"b\": \"offscreen\"}`. From a terminal: `anchor compare agentcore-code-interpreter offscreen`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json and https://www.anchorterminal.com/api/v1/tools/offscreen.json\n\n## Other comparisons with Amazon Bedrock AgentCore Code Interpreter or Offscreen\n\n- [Agent 37 Cloud vs Amazon Bedrock AgentCore Code Interpreter](https://www.anchorterminal.com/compare/agent37-vs-agentcore-code-interpreter.md)\n- [Agent 37 Cloud vs Offscreen](https://www.anchorterminal.com/compare/agent37-vs-offscreen.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Blaxel Sandboxes](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-blaxel-sandboxes.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Cloudflare Sandbox SDK](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-cloudflare-sandbox-sdk.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Daytona](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-daytona.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs DeltaBox Lite](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-deltabox-lite.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Deno Sandbox](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-deno-sandbox.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs E2B](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-e2b.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Freestyle](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-freestyle.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Microsoft Execution Containers](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-microsoft-execution-containers.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Modal Sandboxes](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-modal-sandboxes.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Morph Cloud](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-morph-cloud.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs SPACE](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-perplexity-space.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Runloop Devboxes](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-runloop.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Sprites](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-sprites.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Together Code Sandbox](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-together-code-sandbox.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Vercel Sandbox](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.md)\n- [Blaxel Sandboxes vs Offscreen](https://www.anchorterminal.com/compare/blaxel-sandboxes-vs-offscreen.md)\n- [Cloudflare Sandbox SDK vs Offscreen](https://www.anchorterminal.com/compare/cloudflare-sandbox-sdk-vs-offscreen.md)\n- [Daytona vs Offscreen](https://www.anchorterminal.com/compare/daytona-vs-offscreen.md)\n- [Deno Sandbox vs Offscreen](https://www.anchorterminal.com/compare/deno-sandbox-vs-offscreen.md)\n- [E2B vs Offscreen](https://www.anchorterminal.com/compare/e2b-vs-offscreen.md)\n- [Freestyle vs Offscreen](https://www.anchorterminal.com/compare/freestyle-vs-offscreen.md)\n- [Microsoft Execution Containers vs Offscreen](https://www.anchorterminal.com/compare/microsoft-execution-containers-vs-offscreen.md)\n- [Modal Sandboxes vs Offscreen](https://www.anchorterminal.com/compare/modal-sandboxes-vs-offscreen.md)\n- [Morph Cloud vs Offscreen](https://www.anchorterminal.com/compare/morph-cloud-vs-offscreen.md)\n- [Offscreen vs SPACE](https://www.anchorterminal.com/compare/offscreen-vs-perplexity-space.md)\n- [Offscreen vs Runloop Devboxes](https://www.anchorterminal.com/compare/offscreen-vs-runloop.md)\n- [Offscreen vs Sprites](https://www.anchorterminal.com/compare/offscreen-vs-sprites.md)\n- [Offscreen vs Together Code Sandbox](https://www.anchorterminal.com/compare/offscreen-vs-together-code-sandbox.md)\n- [Offscreen vs Vercel Sandbox](https://www.anchorterminal.com/compare/offscreen-vs-vercel-sandbox.md)\n- [DeltaBox Lite vs Offscreen](https://www.anchorterminal.com/compare/deltabox-lite-vs-offscreen.md)\n",
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