{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-steel-dev--steel-browser","slug":"steel-dev--steel-browser","name":"steel-browser","type":"agent","url":"https://steel.dev","page_url":"https://unfragile.ai/steel-dev--steel-browser","categories":["ai-agents"],"tags":["ai","ai-agents","ai-tools","browser-automation","llm"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-steel-dev--steel-browser__cap_0","uri":"capability://automation.workflow.chrome.devtools.protocol.cdp.browser.control.with.session.persistence","name":"chrome devtools protocol (cdp) browser control with session persistence","description":"Provides full programmatic control over Chrome instances via the Chrome DevTools Protocol through a CDPService abstraction layer that manages browser lifecycle, navigation, DOM interaction, and JavaScript execution. Sessions are persisted with stateful context through SessionService and ChromeContextService, enabling multi-step automation workflows where browser state (cookies, local storage, DOM) survives across API calls. The architecture uses puppeteer-core as the underlying CDP client, abstracting away low-level protocol details while exposing high-level browser operations through REST endpoints.","intents":["I need to automate multi-step web workflows where browser state must persist between interactions","I want to control Chrome programmatically without managing infrastructure or browser lifecycle myself","I need to execute JavaScript in a real browser context and capture results back to my agent"],"best_for":["AI agents performing complex web automation tasks requiring stateful sessions","Teams building web scraping pipelines that need to maintain login state and session cookies","Developers automating form filling, login flows, or multi-page interactions"],"limitations":["CDP protocol overhead adds ~50-100ms per command execution compared to direct Selenium","Session state is in-memory by default; no built-in distributed session persistence across multiple server instances","Limited to Chrome/Chromium browsers; cannot control Firefox or Safari"],"requires":["Chrome or Chromium browser binary installed","Node.js 18+","API endpoint access to the Steel Browser server"],"input_types":["URL strings","JavaScript code snippets","CSS selectors","JSON configuration objects"],"output_types":["JSON responses with execution results","DOM snapshots","JavaScript return values","Browser event logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_1","uri":"capability://safety.moderation.anti.detection.fingerprint.spoofing.and.stealth.mode","name":"anti-detection fingerprint spoofing and stealth mode","description":"Implements fingerprint spoofing and stealth features through fingerprint-generator and fingerprint-injector modules that mask browser automation signals and randomize device fingerprints to evade bot detection systems. The system injects synthetic user-agent strings, screen resolutions, timezone data, and WebGL parameters that mimic real user devices, reducing detection likelihood on sites with anti-bot measures. This is critical for AI agents accessing protected or rate-limited web services that actively block automated access.","intents":["I need to scrape data from sites that actively block bot traffic and check for automation signals","I want my agent to appear as a legitimate user to avoid triggering anti-bot detection","I need to rotate device fingerprints across multiple sessions to avoid IP-based rate limiting"],"best_for":["Web scraping agents targeting sites with aggressive anti-bot measures (Cloudflare, DataDome, etc.)","Teams building competitive intelligence tools that need to bypass detection","Developers automating access to rate-limited or protected APIs"],"limitations":["Fingerprint spoofing is an arms race; detection systems continuously evolve and may still identify spoofed browsers","Does not bypass CAPTCHA, 2FA, or JavaScript-based behavioral analysis","Stealth mode adds ~100-200ms overhead per session initialization due to fingerprint injection"],"requires":["Chrome/Chromium browser with CDP support","fingerprint-generator and fingerprint-injector modules available","Session configuration with stealth mode enabled"],"input_types":["Device fingerprint configuration objects","User-agent strings","Timezone and locale settings"],"output_types":["Spoofed browser fingerprints","Injected device parameters","Session configuration with stealth settings applied"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_10","uri":"capability://automation.workflow.live.session.monitoring.and.health.checks.via.rest.api","name":"live session monitoring and health checks via rest api","description":"Provides REST API endpoints for monitoring active sessions, checking browser health, and retrieving session metadata in real-time. The system exposes endpoints to list active sessions, get session details (uptime, resource usage, event count), and perform health checks on browser instances. This enables external monitoring systems and dashboards to track Steel Browser health and session status.","intents":["I need to monitor which sessions are currently active and their resource usage","I want to check if a browser instance is healthy before sending it more work","I need to build a dashboard showing Steel Browser utilization and session metrics"],"best_for":["Operations teams monitoring Steel Browser infrastructure","Developers building dashboards for automation workflow visibility","Systems integrating Steel Browser with orchestration platforms (Kubernetes, etc.)"],"limitations":["Health checks add ~50ms latency per request due to browser probing","No built-in alerting; requires external monitoring system integration","Metrics are point-in-time; no historical data retention without external storage"],"requires":["REST API endpoint access","SessionService with session tracking"],"input_types":["Session IDs (optional for filtering)"],"output_types":["Session list with metadata","Health check results","Resource usage metrics"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_11","uri":"capability://tool.use.integration.openapi.schema.generation.and.type.safe.api.client.generation","name":"openapi schema generation and type-safe api client generation","description":"Automatically generates OpenAPI schema from REST API route definitions and provides generated API clients with full TypeScript type safety. The system uses OpenAPI tooling to introspect the API surface and generate client libraries, enabling developers to interact with Steel Browser with IDE autocomplete and compile-time type checking. This reduces integration friction and prevents runtime errors from incorrect API usage.","intents":["I want to use Steel Browser with full TypeScript type safety and IDE autocomplete","I need to generate API client code for my preferred language","I want to document my Steel Browser API integration with OpenAPI specs"],"best_for":["TypeScript/JavaScript developers building Steel Browser integrations","Teams using OpenAPI-based API documentation and code generation","Organizations requiring API contract documentation"],"limitations":["Generated clients are TypeScript-only; no Python, Go, or other language support","Schema generation requires manual annotation of route handlers; not fully automatic","Generated code may require manual tweaks for complex request/response types"],"requires":["OpenAPI schema generation tooling","TypeScript compiler","Route handler definitions with proper type annotations"],"input_types":["Route handler definitions","Request/response type definitions"],"output_types":["OpenAPI schema (JSON/YAML)","Generated TypeScript client code"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_12","uri":"capability://automation.workflow.docker.containerization.with.health.checks.and.ci.cd.integration","name":"docker containerization with health checks and ci/cd integration","description":"Provides Docker containerization through a Dockerfile that packages Steel Browser with all dependencies, health check endpoints for container orchestration, and CI/CD pipeline integration (render.yaml for deployment). The system is designed for containerized deployment with proper signal handling, graceful shutdown, and health monitoring. This enables easy deployment to Kubernetes, Docker Compose, or cloud platforms.","intents":["I want to deploy Steel Browser as a Docker container in my infrastructure","I need to integrate Steel Browser into my CI/CD pipeline for automated testing","I want to run Steel Browser in Kubernetes with proper health checks and auto-scaling"],"best_for":["DevOps teams deploying Steel Browser to containerized infrastructure","Organizations using Kubernetes for orchestration","Teams integrating Steel Browser into CI/CD pipelines"],"limitations":["Docker image size is large (~500MB+) due to Chrome binary; requires significant disk space","Health checks add ~50-100ms latency per check; frequent checks can impact performance","No built-in multi-instance load balancing; requires external orchestration"],"requires":["Docker runtime","Docker Compose or Kubernetes for orchestration","Sufficient disk space for Chrome binary"],"input_types":["Docker environment variables","Container configuration (ports, volumes, etc.)"],"output_types":["Running Docker container","Health check results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_13","uri":"capability://tool.use.integration.selenium.webdriver.compatibility.layer.for.cross.tool.automation","name":"selenium webdriver compatibility layer for cross-tool automation","description":"Provides a Selenium WebDriver compatibility layer that allows existing Selenium-based automation code to run against Steel Browser sessions, enabling gradual migration from Selenium to Steel Browser or hybrid workflows. The system implements WebDriver protocol endpoints that map to Steel Browser's CDP-based operations, providing a familiar API surface for Selenium users.","intents":["I have existing Selenium automation code and want to run it against Steel Browser","I want to gradually migrate from Selenium to Steel Browser without rewriting all my tests","I need to support both Selenium and Steel Browser in the same automation framework"],"best_for":["Teams with large Selenium test suites looking to migrate to Steel Browser","Organizations needing gradual migration paths from Selenium","Developers building cross-tool automation frameworks"],"limitations":["Not all Selenium features are supported; some advanced features may not work","WebDriver protocol translation adds ~100-200ms overhead per operation","Selenium-specific quirks and behaviors may not be perfectly replicated"],"requires":["Selenium WebDriver client library","Steel Browser Selenium compatibility layer"],"input_types":["Selenium WebDriver code","WebDriver protocol requests"],"output_types":["WebDriver protocol responses","Selenium-compatible results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_2","uri":"capability://automation.workflow.proxy.chain.management.with.ip.rotation.and.request.interception","name":"proxy chain management with ip rotation and request interception","description":"Manages proxy chains through ProxyFactory and proxy-chain modules, enabling IP rotation across multiple proxy servers and request-level filtering/interception via CDP's Network domain. The system can route browser traffic through configured proxies, intercept HTTP/HTTPS requests before they reach the target server, and filter or modify requests based on URL patterns or headers. This enables both IP anonymization for scraping and fine-grained control over which requests are allowed to execute.","intents":["I need to rotate IP addresses across multiple requests to avoid rate limiting","I want to block certain requests (ads, trackers, analytics) to speed up page loads","I need to intercept and modify requests to inject custom headers or test API behavior"],"best_for":["Large-scale web scraping operations requiring IP rotation to avoid detection","Performance-critical automation where blocking ads/trackers reduces load time by 30-50%","API testing and debugging scenarios where request interception is needed"],"limitations":["Proxy chain adds 100-300ms latency per request depending on proxy server response time","Request interception only works for HTTP/HTTPS; WebSocket and other protocols bypass the filter","No built-in proxy authentication for SOCKS5 or authenticated proxies; requires manual configuration"],"requires":["Proxy server URLs (HTTP, HTTPS, or SOCKS5)","Network access to configured proxy servers","ProxyFactory and proxy-chain modules"],"input_types":["Proxy server URLs","Request filter patterns (regex or URL matching)","Custom header objects"],"output_types":["Filtered/modified HTTP requests","Proxy rotation logs","Request interception events"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_3","uri":"capability://automation.workflow.stateless.quick.action.web.scraping.with.automatic.content.extraction","name":"stateless quick-action web scraping with automatic content extraction","description":"Provides stateless, single-request operations for common web automation tasks (scrape, screenshot, PDF generation) through Quick Actions API endpoints that don't require session creation. The system automatically extracts structured content from pages using DOM parsing, handles JavaScript rendering, and returns results in a single HTTP response. This is optimized for simple, one-off operations where session persistence overhead is unnecessary.","intents":["I need to quickly scrape a single page's content without managing a persistent session","I want to generate a screenshot or PDF of a webpage in one API call","I need to extract structured data (tables, lists) from a page without writing custom parsing logic"],"best_for":["Simple web scraping tasks that don't require multi-step workflows","Agents needing quick page snapshots or PDFs for documentation","Developers building quick prototypes without session management complexity"],"limitations":["No session state persistence; each request is independent and cannot maintain login context","Automatic content extraction may fail on heavily JavaScript-rendered pages with dynamic content","PDF generation adds 2-5 second overhead per page due to rendering and file generation"],"requires":["Target URL accessible from Steel Browser server","Chrome/Chromium browser available","API endpoint access"],"input_types":["URL strings","CSS selectors for targeted extraction","PDF/screenshot configuration options"],"output_types":["HTML/text content","PNG/JPEG screenshots","PDF files","Structured JSON data"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_4","uri":"capability://automation.workflow.real.time.websocket.streaming.for.browser.events.and.session.monitoring","name":"real-time websocket streaming for browser events and session monitoring","description":"Exposes a WebSocket API that streams real-time browser events (navigation, console logs, network requests, DOM mutations) and session state changes to connected clients. The system uses a WebSocket server plugin that subscribes to CDP events and broadcasts them to multiple concurrent clients, enabling live monitoring and debugging of browser automation sessions. This is essential for agents that need to react to page state changes or for developers debugging automation workflows.","intents":["I need to monitor browser events in real-time as my agent interacts with a page","I want to debug automation workflows by watching console logs and network requests live","I need to react to page state changes (navigation, DOM updates) within my agent logic"],"best_for":["AI agents that need reactive event handling during web automation","Developers debugging complex automation workflows with live event visibility","Teams building real-time monitoring dashboards for browser sessions"],"limitations":["WebSocket streaming adds ~50-100ms latency per event broadcast due to serialization and network transmission","Event volume can be high on complex pages; filtering is required to avoid overwhelming clients","No built-in event persistence; events are lost if client disconnects"],"requires":["WebSocket client library (ws, socket.io, etc.)","Network connectivity to Steel Browser WebSocket endpoint","Session ID for subscribing to specific session events"],"input_types":["Session ID","Event filter patterns (optional)"],"output_types":["Real-time CDP event objects (navigation, console, network, DOM)","Session state change notifications","Browser instrumentation logs"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_5","uri":"capability://automation.workflow.file.upload.download.management.within.browser.sessions","name":"file upload/download management within browser sessions","description":"Manages file operations (upload, download, archive creation) within browser sessions through the FileService module, enabling agents to interact with file inputs and capture downloaded files. The system intercepts download requests via CDP Network interception, stores files in session-scoped directories, and provides APIs to retrieve or archive downloaded content. This is critical for automating workflows that involve file handling (form submissions with attachments, downloading reports, etc.).","intents":["I need to upload files to web forms as part of an automation workflow","I want to capture files downloaded by the browser and process them in my agent","I need to archive and retrieve multiple files downloaded across a session"],"best_for":["Automation workflows involving file uploads to web forms","Agents that need to download and process files (PDFs, CSVs, images) from websites","Teams automating document processing pipelines"],"limitations":["File upload requires the target page to have a file input element; cannot upload to drag-and-drop interfaces without additional JavaScript","Download interception may fail for non-standard download mechanisms (blob URLs, custom JavaScript)","File storage is session-scoped; files are deleted when the session ends unless explicitly archived"],"requires":["FileService module","Session with file storage directory","File system access on Steel Browser server"],"input_types":["File paths (for upload)","File selector CSS paths","Archive configuration objects"],"output_types":["Downloaded file content","Archive files (ZIP)","File metadata (name, size, type)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_6","uri":"capability://automation.workflow.browser.extension.loading.and.execution.within.sessions","name":"browser extension loading and execution within sessions","description":"Enables loading and execution of Chrome extensions within automated browser sessions via CDP extension APIs, allowing agents to extend browser functionality with custom scripts, content scripts, and background workers. Extensions are loaded at session initialization and have full access to the page context, enabling use cases like ad blocking, analytics injection, or custom automation helpers. The system manages extension lifecycle and provides APIs to communicate with extension background scripts.","intents":["I want to inject custom JavaScript or CSS into pages without modifying the page source","I need to block ads or trackers using a browser extension during automation","I want to add custom functionality to the browser (e.g., form auto-fill helpers)"],"best_for":["Agents needing to inject custom behavior into pages without modifying page code","Teams using ad-blocking or privacy extensions during automation","Developers building custom automation helpers as Chrome extensions"],"limitations":["Extensions must be packaged as valid Chrome extension bundles; inline scripts are not supported","Extension communication requires manual message passing via CDP; no built-in RPC framework","Some extensions may not work in headless mode or with certain CDP configurations"],"requires":["Chrome extension package (manifest.json + source files)","CDP extension API support","Extension path accessible to Steel Browser server"],"input_types":["Extension directory paths","Extension configuration objects","Message objects for extension communication"],"output_types":["Extension execution results","Message responses from extension background scripts"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_7","uri":"capability://tool.use.integration.plugin.system.with.baseplugin.and.pluginmanager.for.extensibility","name":"plugin system with baseplugin and pluginmanager for extensibility","description":"Provides a plugin architecture through BasePlugin abstract class and PluginManager that allows developers to extend Steel Browser functionality with custom plugins. Plugins can hook into session lifecycle events (creation, destruction), request/response cycles, and WebSocket communication. The system includes built-in plugins for WebSocket streaming, logging, and monitoring, and developers can create custom plugins by extending BasePlugin and registering with PluginManager.","intents":["I want to extend Steel Browser with custom functionality without modifying core code","I need to hook into session lifecycle events to perform setup/teardown operations","I want to add custom logging, monitoring, or analytics to browser sessions"],"best_for":["Teams building custom Steel Browser extensions for proprietary use cases","Developers adding custom monitoring or analytics to automation workflows","Organizations needing to integrate Steel Browser with internal tools"],"limitations":["Plugin API is TypeScript-only; no Python or other language support","Plugin execution is synchronous; long-running plugins can block session operations","No built-in plugin dependency management or version compatibility checking"],"requires":["TypeScript knowledge","BasePlugin class and PluginManager imports","Node.js 18+ with TypeScript compilation"],"input_types":["Plugin class definitions extending BasePlugin","Plugin configuration objects","Lifecycle event handlers"],"output_types":["Plugin execution results","Lifecycle event notifications"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_8","uri":"capability://data.processing.analysis.comprehensive.browser.event.logging.and.instrumentation.with.duckdb.storage","name":"comprehensive browser event logging and instrumentation with duckdb storage","description":"Captures comprehensive browser events (navigation, console logs, network requests, performance metrics) through BrowserLogger and stores them in DuckDB (duckdb-async) for efficient querying and analysis. The system instruments the browser at the CDP level to capture all relevant events, persists them to a local database, and provides query APIs for retrieving event history. This enables post-session analysis, debugging, and performance monitoring of automation workflows.","intents":["I need to analyze what happened during an automation session for debugging","I want to track performance metrics (page load time, network latency) across sessions","I need to query event history to understand browser behavior patterns"],"best_for":["Teams debugging complex automation workflows with detailed event history","Performance monitoring and optimization of web automation pipelines","Compliance and audit logging for automated web interactions"],"limitations":["DuckDB storage adds ~10-20ms overhead per event due to database writes","Event volume can grow large on long-running sessions; requires periodic cleanup","Query performance degrades with very large event datasets (>1M events); requires indexing strategy"],"requires":["DuckDB and duckdb-async modules","File system access for DuckDB database files","Session storage directory"],"input_types":["CDP event objects","Event filter patterns","Query specifications"],"output_types":["Event logs (JSON)","Query results (structured data)","Performance metrics"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-steel-dev--steel-browser__cap_9","uri":"capability://memory.knowledge.session.configuration.and.storage.with.persistent.context.across.requests","name":"session configuration and storage with persistent context across requests","description":"Manages session configuration and state persistence through SessionService and ChromeContextService, enabling browser context (cookies, local storage, session storage, IndexedDB) to survive across multiple API requests. Sessions are identified by unique IDs and stored in a configurable storage backend, with support for session cloning, restoration, and cleanup. The system maintains a mapping between session IDs and Chrome DevTools Protocol contexts, enabling stateful automation workflows.","intents":["I need to maintain login state across multiple API calls to the same website","I want to clone a session to run parallel workflows with the same initial state","I need to restore a previous session state for testing or debugging"],"best_for":["Multi-step automation workflows requiring persistent authentication state","Parallel testing scenarios where multiple agents need the same initial session state","Long-running agents that need to maintain browser context across hours or days"],"limitations":["Session state is in-memory by default; not distributed across multiple Steel Browser instances","Session cloning requires copying all context data (cookies, storage); adds 500ms-1s overhead","No automatic session expiration; requires manual cleanup to prevent memory leaks"],"requires":["SessionService and ChromeContextService modules","Storage backend (file system or database)","Session ID generation mechanism"],"input_types":["Session configuration objects","Session IDs","Context data (cookies, storage)"],"output_types":["Session IDs","Session metadata","Context snapshots"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["Chrome or Chromium browser binary installed","Node.js 18+","API endpoint access to the Steel Browser server","Chrome/Chromium browser with CDP support","fingerprint-generator and fingerprint-injector modules available","Session configuration with stealth mode enabled","REST API endpoint access","SessionService with session tracking","OpenAPI schema generation tooling","TypeScript compiler"],"failure_modes":["CDP protocol overhead adds ~50-100ms per command execution compared to direct Selenium","Session state is in-memory by default; no built-in distributed session persistence across multiple server instances","Limited to Chrome/Chromium browsers; cannot control Firefox or Safari","Fingerprint spoofing is an arms race; detection systems continuously evolve and may still identify spoofed browsers","Does not bypass CAPTCHA, 2FA, or JavaScript-based behavioral analysis","Stealth mode adds ~100-200ms overhead per session initialization due to fingerprint injection","Health checks add ~50ms latency per request due to browser probing","No built-in alerting; requires external monitoring system integration","Metrics are point-in-time; no historical data retention without external storage","Generated clients are TypeScript-only; no Python, Go, or other language support","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.6327477532296378,"quality":0.5,"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":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T13:57:16.560Z","last_commit":"2026-04-29T20:41:48Z"},"community":{"stars":6960,"forks":927,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=steel-dev--steel-browser","compare_url":"https://unfragile.ai/compare?artifact=steel-dev--steel-browser"}},"signature":"CMgx5UP9LKHfHlcjeQIJDMY986WnuCR5yXD8gYUldak1YC/d3htX14if5BDV1iF8Bj1yHBbxjkSKekYpqXz+DQ==","signedAt":"2026-06-22T05:59:19.613Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/steel-dev--steel-browser","artifact":"https://unfragile.ai/steel-dev--steel-browser","verify":"https://unfragile.ai/api/v1/verify?slug=steel-dev--steel-browser","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"}}