{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-alibaba--opensandbox","slug":"alibaba--opensandbox","name":"OpenSandbox","type":"agent","url":"https://open-sandbox.ai","page_url":"https://unfragile.ai/alibaba--opensandbox","categories":["ai-agents"],"tags":["ai","ai-agent","ai-infra","kubernetes","sandbox"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-alibaba--opensandbox__cap_0","uri":"capability://automation.workflow.multi.runtime.sandbox.lifecycle.management.with.unified.api","name":"multi-runtime sandbox lifecycle management with unified api","description":"Provides a three-tier architecture that abstracts container orchestration across Docker and Kubernetes backends through a unified Lifecycle API. The OpenSandbox Server acts as a control plane that translates client requests into runtime-specific operations, managing sandbox creation, execution, pause/resume, and termination. Supports auto-renewal on ingress access and sandbox state persistence across multiple runtime implementations without requiring clients to understand underlying infrastructure.","intents":["I need to execute untrusted code in isolated containers without managing Docker/Kubernetes directly","I want to switch between Docker and Kubernetes runtimes without changing my application code","I need to pause and resume sandboxes for cost optimization while maintaining state"],"best_for":["AI agent platforms requiring multi-tenant code execution","Teams deploying coding agents across development and production environments","Infrastructure teams building internal sandbox-as-a-service platforms"],"limitations":["Requires OpenSandbox Server deployment; cannot run purely client-side","State persistence depends on external volume backends; no built-in local state store","Pause/resume operations add latency proportional to sandbox memory footprint"],"requires":["Docker 20.10+ or Kubernetes 1.20+","Python 3.8+ for server components","Network connectivity between client and OpenSandbox Server"],"input_types":["sandbox configuration (JSON/YAML)","lifecycle commands (create, execute, pause, resume, destroy)"],"output_types":["sandbox metadata (ID, endpoints, status)","execution results (stdout, stderr, exit code)"],"categories":["automation-workflow","container-orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_1","uri":"capability://code.generation.editing.execution.daemon.execd.with.multi.language.code.execution.and.file.operations","name":"execution daemon (execd) with multi-language code execution and file operations","description":"A lightweight daemon running inside each sandbox container that handles command execution, file I/O, and multi-language code interpretation through an event-driven execution model. The execd component receives requests from the OpenSandbox Server, executes commands in isolated process contexts, manages file operations with permission controls, and streams execution results back. Supports Python, JavaScript, Java, C# and shell commands with language-specific interpreters pre-configured in the sandbox image.","intents":["I need to execute arbitrary code snippets in Python, JavaScript, or other languages within a sandbox","I want to read/write files in the sandbox with controlled permissions and isolation","I need real-time streaming of command output (stdout/stderr) as execution progresses"],"best_for":["AI code interpreters and REPL environments for agents","Secure code execution platforms for untrusted user scripts","Multi-language development environments requiring isolated execution"],"limitations":["Event-driven model adds ~50-100ms latency per command due to IPC overhead","File operations are synchronous; no built-in batching for bulk file operations","Language support limited to pre-installed interpreters in sandbox image; custom languages require custom images"],"requires":["OpenSandbox sandbox container running with execd daemon","Language-specific interpreters installed in sandbox image (Python 3.8+, Node.js 14+, etc.)","Network connectivity between OpenSandbox Server and execd daemon"],"input_types":["shell commands (string)","code snippets (Python, JavaScript, Java, C# as strings)","file paths and content (for read/write operations)"],"output_types":["command output (stdout, stderr as streamed text)","exit codes (integer)","file content (binary or text)","execution metadata (duration, memory usage)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_10","uri":"capability://safety.moderation.secure.container.runtimes.with.capability.dropping.and.resource.limits","name":"secure container runtimes with capability dropping and resource limits","description":"Implements hardened container runtime configurations that drop unnecessary Linux capabilities (CAP_SYS_ADMIN, CAP_NET_RAW, etc.) and enforce strict resource limits (CPU, memory, disk, processes). Supports multiple secure runtime options including standard Docker/Kubernetes runtimes with security policies, and integration with specialized secure runtimes like gVisor or Kata Containers for additional isolation. Resource limits are enforced at the cgroup level, preventing resource exhaustion attacks.","intents":["I need to prevent sandboxes from escaping container isolation or accessing host resources","I want to enforce strict resource limits to prevent denial-of-service attacks","I need to use specialized secure runtimes (gVisor, Kata) for additional isolation guarantees"],"best_for":["Multi-tenant platforms executing untrusted code","Security-sensitive deployments requiring defense-in-depth","Compliance-driven organizations requiring strict isolation"],"limitations":["Capability dropping may break legitimate use cases (e.g., network packet capture requires CAP_NET_RAW)","Specialized runtimes (gVisor, Kata) add 20-50% overhead compared to standard Docker","Resource limits are enforced at cgroup level; cannot prevent all resource exhaustion attacks","Requires Linux kernel 4.4+; not available on macOS or Windows"],"requires":["Linux kernel 4.4+ with cgroup support","Docker 20.10+ or Kubernetes 1.20+","Optional: gVisor or Kata Containers for specialized runtimes"],"input_types":["security policy configuration (capabilities, resource limits)","runtime selection (standard, gVisor, Kata)"],"output_types":["security policy enforcement status","resource limit violations and alerts"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_11","uri":"capability://automation.workflow.cli.tool.osb.for.sandbox.management.and.local.development","name":"cli tool (osb) for sandbox management and local development","description":"Provides a command-line interface for interacting with OpenSandbox, enabling developers to create sandboxes, execute code, manage files, and inspect sandbox state from the terminal. The CLI supports both local development (connecting to local OpenSandbox Server) and remote deployments (connecting to cloud-hosted servers). Includes commands for sandbox lifecycle management, code execution, file operations, and diagnostics.","intents":["I want to test sandbox functionality locally during development without writing code","I need to quickly execute code in a sandbox from the command line","I want to inspect sandbox state and debug issues using CLI commands"],"best_for":["Developers building on top of OpenSandbox","DevOps engineers managing OpenSandbox deployments","Quick prototyping and testing workflows"],"limitations":["CLI is synchronous; no built-in support for long-running operations","Output formatting is text-based; limited structured output options (JSON available but not default)","CLI state is not persisted; each invocation is independent","Requires OpenSandbox Server to be running and accessible"],"requires":["OpenSandbox CLI binary (osb) installed","OpenSandbox Server running and accessible","Authentication credentials configured"],"input_types":["CLI commands and arguments","code files or snippets","configuration files"],"output_types":["text output (stdout, stderr)","JSON output (with --json flag)","file contents"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_12","uri":"capability://automation.workflow.developer.console.with.web.ui.for.sandbox.visualization.and.management","name":"developer console with web ui for sandbox visualization and management","description":"Provides a web-based dashboard for visualizing sandbox state, monitoring execution, and managing sandbox lifecycle through a graphical interface. The console displays sandbox metrics (CPU, memory, network), execution logs, file system contents, and provides interactive controls for creating/destroying sandboxes and executing code. Includes real-time updates via WebSocket connections, enabling live monitoring of sandbox activity.","intents":["I want to visualize sandbox state and metrics in a web dashboard","I need to monitor multiple sandboxes simultaneously and detect issues","I want to execute code and view results through a web interface without CLI"],"best_for":["Platform operators managing OpenSandbox deployments","Teams requiring visual monitoring and debugging","Non-technical users needing sandbox management capabilities"],"limitations":["Web UI adds deployment complexity; requires separate web server and frontend assets","Real-time updates via WebSocket may not scale to thousands of concurrent connections","Console access requires authentication; not suitable for public/untrusted users","UI is read-only for sensitive operations; destructive operations require confirmation"],"requires":["OpenSandbox Server with console API enabled","Web browser with WebSocket support","Network connectivity to OpenSandbox Server"],"input_types":["user interactions (clicks, form submissions)","WebSocket messages (for real-time updates)"],"output_types":["HTML/CSS/JavaScript UI","JSON data (for API calls)","real-time metrics and logs"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_13","uri":"capability://safety.moderation.request.validation.and.schema.enforcement.for.sandbox.configuration","name":"request validation and schema enforcement for sandbox configuration","description":"Implements comprehensive request validation at the OpenSandbox Server level, validating sandbox configuration, execution parameters, and network policies against defined schemas. Uses JSON Schema validation to ensure requests conform to expected formats, with detailed error messages for validation failures. Prevents invalid configurations from reaching the runtime layer, catching errors early and improving debugging experience.","intents":["I want to catch configuration errors early before they cause runtime failures","I need detailed error messages explaining what's wrong with my sandbox configuration","I want to enforce consistent sandbox configurations across my organization"],"best_for":["Teams building on top of OpenSandbox requiring robust error handling","Organizations with strict configuration management policies","Development teams wanting to catch errors early in the development cycle"],"limitations":["Schema validation adds ~5-10ms overhead per request","Complex schemas may be difficult to understand and debug","Validation is server-side only; client-side validation requires separate implementation","Schema changes require server updates; no dynamic schema loading"],"requires":["OpenSandbox Server with validation enabled","Valid sandbox configuration conforming to schema"],"input_types":["sandbox configuration (JSON/YAML)","execution parameters","network policies"],"output_types":["validation success/failure status","detailed error messages with field paths","schema documentation"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_2","uri":"capability://safety.moderation.network.security.with.egress.control.sidecar.and.dns.proxy","name":"network security with egress control sidecar and dns proxy","description":"Implements a dedicated egress control sidecar that runs alongside each sandbox container, enforcing network policies through a DNS proxy layer and nftables-based network filtering. The sidecar intercepts DNS queries, applies policy-based filtering, and uses Linux netfilter rules to allow/deny network traffic based on configured policies. Supports granular control over outbound connections, preventing data exfiltration and limiting sandbox access to approved external services.","intents":["I need to prevent sandboxes from making unauthorized network requests to external services","I want to allow specific domains (e.g., APIs) while blocking others without manual firewall rules","I need to audit and log all network activity from sandboxes for compliance"],"best_for":["Multi-tenant SaaS platforms executing untrusted code","Regulated industries requiring network activity audit trails","AI agent platforms that need to control which APIs agents can access"],"limitations":["DNS proxy adds ~5-10ms latency to first DNS lookup per domain","nftables rules require Linux kernel 4.10+; not available on macOS or Windows","Policy evaluation happens at DNS time; cannot block based on HTTP headers or request body content","Requires elevated privileges (CAP_NET_ADMIN) to install netfilter rules"],"requires":["Linux kernel 4.10+ with nftables support","Docker or Kubernetes with capability to run privileged sidecars","Network policy schema defined in YAML or JSON format"],"input_types":["network policy definitions (YAML/JSON with allow/deny rules)","domain lists (CIDR blocks, domain names, IP addresses)"],"output_types":["network policy enforcement status","audit logs (DNS queries, blocked connections)","policy violation alerts"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_3","uri":"capability://automation.workflow.sandbox.pooling.and.batch.execution.with.resource.optimization","name":"sandbox pooling and batch execution with resource optimization","description":"Provides a SandboxPool abstraction that manages a pool of pre-warmed sandbox instances, reducing cold-start latency for rapid sequential executions. The pool maintains a configurable number of ready sandboxes and automatically scales based on demand, reusing containers across multiple execution requests. Integrates with Kubernetes BatchSandbox and Pool CRDs for declarative pool management, enabling teams to define pool configurations as Kubernetes resources.","intents":["I need to execute hundreds of code snippets rapidly without waiting for container startup time","I want to optimize resource utilization by reusing sandbox containers across multiple requests","I need declarative infrastructure-as-code definitions for sandbox pools in Kubernetes"],"best_for":["High-throughput code execution platforms (e.g., competitive programming judges)","Batch processing systems executing many small tasks","Kubernetes-native deployments requiring declarative resource management"],"limitations":["Pool warm-up time (typically 2-5 seconds per sandbox) required before serving requests","Memory overhead scales linearly with pool size; large pools (100+ sandboxes) require significant RAM","Container reuse across requests may leak state if not properly cleaned between executions","Pool scaling decisions are reactive; no predictive scaling based on historical patterns"],"requires":["Kubernetes 1.20+ for CRD support (if using Kubernetes runtime)","Sufficient cluster resources to maintain warm pool","Pool configuration defining min/max pool size and sandbox image"],"input_types":["pool configuration (min_size, max_size, sandbox_image, ttl)","execution requests (code, language, timeout)"],"output_types":["pool status (current_size, available_count, utilization_percent)","execution results from pooled sandboxes"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_4","uri":"capability://code.generation.editing.code.interpreter.with.context.management.and.event.driven.execution","name":"code interpreter with context management and event-driven execution","description":"A specialized component built on top of execd that provides REPL-like code interpretation with persistent context across multiple code executions. The code interpreter maintains execution state (variables, imports, function definitions) between requests, enabling interactive coding workflows similar to Jupyter notebooks. Uses an event-driven execution model where each code cell is executed as an independent event, with results streamed back to clients in real-time.","intents":["I need to execute code interactively with state persistence across multiple requests (like Jupyter)","I want to build AI agents that can iteratively refine code based on execution results","I need to capture and stream execution output in real-time for interactive debugging"],"best_for":["Interactive AI coding assistants (Claude Code, Qwen Code, Gemini CLI)","Notebook-like environments for data analysis and exploration","Debugging and development workflows requiring iterative code execution"],"limitations":["Context isolation is process-level; global state leaks across executions within same context","Large context (many variables/imports) increases memory usage and execution latency","No built-in garbage collection for unused variables; manual cleanup required for long-running sessions","Event-driven model makes it difficult to implement true parallel execution within single context"],"requires":["OpenSandbox sandbox with execd daemon running","Language-specific REPL or interpreter (Python with IPython/exec, Node.js REPL, etc.)","Client SDK supporting event streaming (Python, JavaScript, Java, C#)"],"input_types":["code snippets (Python, JavaScript, etc. as strings)","context ID (to maintain state across requests)","execution options (timeout, memory limit)"],"output_types":["execution results (stdout, stderr, return values)","context state updates (new variables, imports)","execution metadata (duration, memory usage)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_5","uri":"capability://data.processing.analysis.volume.management.with.multiple.backend.support.and.security.controls","name":"volume management with multiple backend support and security controls","description":"Provides an abstraction layer for persistent storage in sandboxes, supporting multiple volume backends (local filesystem, cloud storage, network volumes) with configurable security policies. Volumes are mounted into sandbox containers at specified paths, with permission controls and quota enforcement. The volume configuration system validates mount paths, enforces security constraints, and manages lifecycle of volume attachments across sandbox instances.","intents":["I need to provide persistent storage to sandboxes for data that survives sandbox termination","I want to share data between multiple sandbox instances using network volumes","I need to enforce storage quotas and prevent sandboxes from consuming excessive disk space"],"best_for":["Data processing pipelines requiring persistent intermediate results","Multi-sandbox workflows where sandboxes need to share data","Long-running agent systems that accumulate logs and artifacts"],"limitations":["Volume mount latency varies by backend; network volumes add 10-50ms per I/O operation","Quota enforcement is soft; sandboxes can exceed limits temporarily before being throttled","No built-in data encryption at rest; requires external encryption layer for sensitive data","Volume backends must be pre-configured; dynamic volume provisioning not supported"],"requires":["Volume backend configured (local, cloud storage, NFS, etc.)","Appropriate credentials/permissions for volume backend","Mount path must be writable in sandbox container"],"input_types":["volume configuration (backend type, mount path, size limit, permissions)","volume backend credentials (API keys, connection strings)"],"output_types":["volume mount status","storage usage metrics","volume lifecycle events (attached, detached, quota exceeded)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_6","uri":"capability://tool.use.integration.client.sdks.with.connection.pooling.and.async.sync.execution.models","name":"client sdks with connection pooling and async/sync execution models","description":"Provides language-specific SDKs (Python, Java, JavaScript, C#) that abstract the OpenSandbox Server API and handle connection management, request serialization, and result deserialization. SDKs support both synchronous and asynchronous execution models, with built-in connection pooling to reduce overhead of repeated requests. Each SDK implements the same logical API surface while providing idiomatic language-specific interfaces (async/await in Python/JS, Futures in Java, Tasks in C#).","intents":["I need to integrate sandbox execution into my application without managing HTTP details","I want to execute code asynchronously without blocking my application","I need connection pooling to reduce latency when making many rapid requests"],"best_for":["Application developers building on top of OpenSandbox","Teams using multiple programming languages requiring consistent APIs","High-throughput systems requiring connection pooling and async execution"],"limitations":["SDK abstractions add ~10-20ms overhead per request compared to raw HTTP","Async models require event loop support; not available in synchronous-only environments","Connection pooling requires maintaining state; not suitable for serverless/FaaS deployments","SDK versions must match server API version; breaking changes require SDK updates"],"requires":["Python 3.8+ (Python SDK), Java 11+ (Java SDK), Node.js 14+ (JavaScript SDK), .NET 6+ (C# SDK)","OpenSandbox Server endpoint URL and authentication credentials","Network connectivity to OpenSandbox Server"],"input_types":["sandbox configuration","execution requests (code, commands, files)","connection parameters (host, port, auth)"],"output_types":["sandbox instances","execution results","connection pool metrics"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_7","uri":"capability://tool.use.integration.mcp.model.context.protocol.integration.for.ai.agent.tool.calling","name":"mcp (model context protocol) integration for ai agent tool calling","description":"Integrates OpenSandbox as a tool provider in the Model Context Protocol ecosystem, exposing sandbox lifecycle and code execution capabilities as MCP tools that AI agents can invoke. The integration translates MCP tool calls into OpenSandbox API requests, enabling agents to create sandboxes, execute code, and manage files through standard MCP interfaces. Supports both MCP server mode (where OpenSandbox acts as a tool provider) and client mode (where agents use OpenSandbox tools).","intents":["I want AI agents (Claude, etc.) to execute code in isolated sandboxes via MCP tool calling","I need to expose sandbox capabilities to agents without custom integration code","I want agents to manage sandbox lifecycle (create, execute, cleanup) through standard MCP interfaces"],"best_for":["AI agent platforms using Claude or other MCP-compatible models","Teams building agentic workflows that require code execution","Integration scenarios where agents need standardized tool interfaces"],"limitations":["MCP protocol overhead adds ~50-100ms per tool call compared to direct API","Tool schema complexity may limit agent's ability to use advanced features","MCP server requires separate process; adds deployment complexity","Limited to MCP-compatible models; not available for proprietary APIs"],"requires":["MCP-compatible AI model or agent framework","OpenSandbox Server running and accessible","MCP server implementation (Python-based)"],"input_types":["MCP tool call requests (JSON with tool name and parameters)","sandbox configuration parameters","code execution requests"],"output_types":["MCP tool results (JSON with execution results)","sandbox metadata","execution output"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_8","uri":"capability://automation.workflow.kubernetes.native.deployment.with.crds.and.helm.charts","name":"kubernetes-native deployment with crds and helm charts","description":"Provides Kubernetes-native deployment patterns through Custom Resource Definitions (CRDs) for BatchSandbox and Pool resources, enabling declarative sandbox management as Kubernetes objects. Includes Helm charts for deploying OpenSandbox Server and supporting components (execd, egress sidecar) into Kubernetes clusters. The WorkloadProvider abstraction allows Kubernetes to be used as the runtime backend, with automatic pod scheduling, resource management, and lifecycle orchestration.","intents":["I want to deploy OpenSandbox in my Kubernetes cluster using standard Kubernetes patterns","I need to define sandbox pools and batch jobs as Kubernetes resources in YAML","I want Kubernetes to manage sandbox lifecycle, scaling, and resource allocation"],"best_for":["Kubernetes-native organizations with existing K8s infrastructure","Teams using GitOps for infrastructure management","Large-scale deployments requiring Kubernetes' orchestration capabilities"],"limitations":["Requires Kubernetes 1.20+ with CRD support; not available for non-Kubernetes deployments","CRD reconciliation adds 1-5 second latency to sandbox creation compared to direct API","Helm chart requires customization for non-standard cluster configurations","Debugging CRD-based deployments is more complex than direct API usage"],"requires":["Kubernetes 1.20+","Helm 3.0+","Sufficient cluster resources (CPU, memory) for sandbox pods","Container registry access for sandbox images"],"input_types":["Kubernetes CRD manifests (YAML)","Helm values (YAML)","Pod resource requests/limits"],"output_types":["Kubernetes Pod objects","CRD status and events","Helm release status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-alibaba--opensandbox__cap_9","uri":"capability://data.processing.analysis.devops.diagnostics.api.with.sandbox.introspection.and.metrics","name":"devops diagnostics api with sandbox introspection and metrics","description":"Provides a comprehensive diagnostics API that exposes sandbox internal state, resource usage metrics, and execution logs for debugging and monitoring. Includes endpoints for inspecting sandbox configuration, viewing file system contents, accessing execution history, and retrieving resource utilization (CPU, memory, network). The diagnostics API enables operators to troubleshoot sandbox issues, monitor performance, and audit sandbox activity.","intents":["I need to debug why a sandbox execution failed or behaved unexpectedly","I want to monitor sandbox resource usage and detect resource leaks","I need to audit sandbox activity for compliance and security investigations"],"best_for":["Platform operators managing OpenSandbox deployments","DevOps teams requiring visibility into sandbox behavior","Security teams auditing sandbox activity and resource usage"],"limitations":["Diagnostics API access requires elevated permissions; not suitable for untrusted clients","Metrics collection adds ~5-10% overhead to sandbox execution","Historical metrics retention depends on external storage; no built-in long-term storage","Introspection of running sandboxes may reveal sensitive information (environment variables, file contents)"],"requires":["OpenSandbox Server with diagnostics API enabled","Authentication credentials with diagnostics API permissions","Metrics storage backend (optional, for historical analysis)"],"input_types":["sandbox ID","query parameters (time range, metric type, log level)"],"output_types":["sandbox configuration and status","resource metrics (CPU, memory, network, disk)","execution logs and events","file system contents"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Docker 20.10+ or Kubernetes 1.20+","Python 3.8+ for server components","Network connectivity between client and OpenSandbox Server","OpenSandbox sandbox container running with execd daemon","Language-specific interpreters installed in sandbox image (Python 3.8+, Node.js 14+, etc.)","Network connectivity between OpenSandbox Server and execd daemon","Linux kernel 4.4+ with cgroup support","Optional: gVisor or Kata Containers for specialized runtimes","OpenSandbox CLI binary (osb) installed","OpenSandbox Server running and accessible"],"failure_modes":["Requires OpenSandbox Server deployment; cannot run purely client-side","State persistence depends on external volume backends; no built-in local state store","Pause/resume operations add latency proportional to sandbox memory footprint","Event-driven model adds ~50-100ms latency per command due to IPC overhead","File operations are synchronous; no built-in batching for bulk file operations","Language support limited to pre-installed interpreters in sandbox image; custom languages require custom images","Capability dropping may break legitimate use cases (e.g., network packet capture requires CAP_NET_RAW)","Specialized runtimes (gVisor, Kata) add 20-50% overhead compared to standard Docker","Resource limits are enforced at cgroup level; cannot prevent all resource exhaustion attacks","Requires Linux kernel 4.4+; not available on macOS or Windows","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.6574650659545791,"quality":0.35,"ecosystem":0.55,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.549Z","last_scraped_at":"2026-05-03T13:57:04.027Z","last_commit":"2026-05-03T05:37:57Z"},"community":{"stars":10407,"forks":827,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=alibaba--opensandbox","compare_url":"https://unfragile.ai/compare?artifact=alibaba--opensandbox"}},"signature":"1OyHvcSVXfGM9iCqxVfD4DLkbdenQ+XSEQljQjLJaFvDEFNrP45haaVtRT3mKenWMkE0Uu6j0TFu5ZwgiimUDw==","signedAt":"2026-06-22T07:55:43.076Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/alibaba--opensandbox","artifact":"https://unfragile.ai/alibaba--opensandbox","verify":"https://unfragile.ai/api/v1/verify?slug=alibaba--opensandbox","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}