{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce","slug":"ai-dev-agents-multi-agent-ai-workforce","name":"AI Dev Agents - Multi-Agent AI Workforce","type":"agent","url":"https://marketplace.visualstudio.com/items?itemName=AI-Dev-Agents.ai-dev-agents-workforce","page_url":"https://unfragile.ai/ai-dev-agents-multi-agent-ai-workforce","categories":["ai-agents"],"tags":["ai","artificial intelligence","assistant","automation","claude","code generation","code review","copilot","debugging","gpt","productivity","testing"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_0","uri":"capability://code.generation.editing.multi.agent.code.generation.from.natural.language","name":"multi-agent code generation from natural language","description":"A Senior Engineer Agent interprets natural language feature descriptions and generates complete, production-ready code implementations across multiple files. The agent decomposes feature requests into implementation steps, applies language-specific best practices, and integrates generated code into the existing codebase context. It operates within VS Code's editor context, allowing developers to describe features conversationally and receive end-to-end implementations without manual scaffolding.","intents":["I want to describe a feature in plain English and have the AI generate the complete implementation","I need to implement a new feature but want to ensure it follows our project's coding standards and patterns","I want to refactor legacy code while maintaining functionality and improving readability"],"best_for":["solo developers building features rapidly without boilerplate overhead","teams standardizing code style across multiple developers","developers maintaining legacy codebases who need refactoring assistance"],"limitations":["Scope of code generation unclear — may be limited to current file or single module rather than cross-project dependencies","No documented support for generating code that spans multiple interconnected services or microservices","Context window limitations may prevent understanding of very large codebases (>10k LOC)","Generated code quality depends on clarity of natural language description; ambiguous requests may produce suboptimal implementations"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider (providers not enumerated in documentation)","Project files accessible within VS Code workspace"],"input_types":["natural language description","existing source code context","project file structure"],"output_types":["generated source code","multi-file implementations","code suggestions with diffs"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_1","uri":"capability://code.generation.editing.automated.bug.detection.and.fixing.with.stack.trace.analysis","name":"automated bug detection and fixing with stack trace analysis","description":"A Debugger Agent analyzes error logs, stack traces, and runtime exceptions to identify root causes and generate fixes. The agent can operate on active debugging sessions or static code analysis, examining error patterns and suggesting performance improvements alongside bug fixes. It integrates with VS Code's debugging infrastructure to provide real-time error analysis without requiring manual log parsing.","intents":["I have a stack trace and need to understand what's causing the error and how to fix it","I want the AI to identify performance bottlenecks in my code and suggest optimizations","I need to debug a complex issue but don't know where to start — I want AI to analyze the error context"],"best_for":["developers debugging production issues with complex stack traces","teams seeking to reduce time spent on root cause analysis","developers optimizing performance-critical code paths"],"limitations":["Unclear whether agent requires active debugging session or can analyze static error logs","No documentation on supported error types or programming languages for debugging","Performance improvement suggestions may be generic rather than tailored to specific runtime characteristics","Cannot access runtime state or memory dumps beyond what's visible in stack traces"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Error log or stack trace in accessible format"],"input_types":["stack traces","error logs","exception messages","source code context"],"output_types":["root cause analysis","suggested fixes with code patches","performance optimization recommendations"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_10","uri":"capability://code.generation.editing.background.test.coverage.analysis.and.gap.filling","name":"background test coverage analysis and gap filling","description":"A Test Coverage Improver Agent operates asynchronously to analyze test coverage metrics, identify untested code paths, and generate tests to fill coverage gaps. The agent tracks coverage trends over time and prioritizes high-impact areas for testing.","intents":["I want to identify which parts of my code are not covered by tests","I need to improve test coverage metrics without writing tests manually","I want to prioritize testing efforts on the most critical code paths"],"best_for":["teams with coverage requirements (e.g., 80%+ coverage mandates)","projects seeking to improve reliability through comprehensive testing","developers new to testing seeking guidance on what to test"],"limitations":["Coverage analysis limited to supported languages (JavaScript, Python, Java); others unsupported","Cannot generate tests for code with complex external dependencies or mocking requirements","Coverage metrics may not reflect actual code reliability — high coverage doesn't guarantee bug-free code","Prioritization algorithm undocumented — unclear how agent determines high-impact areas","No integration with CI/CD coverage tracking systems documented","Generated tests may not reflect actual user workflows or edge cases"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Test framework installed (Jest, Vitest, Mocha for JavaScript; PyTest for Python)","Source code in supported language (JavaScript, Python, Java)"],"input_types":["source code","existing test files","coverage reports"],"output_types":["coverage analysis reports","gap identification","generated test code","coverage trend reports"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_11","uri":"capability://tool.use.integration.multi.provider.ai.model.routing.with.cost.optimization","name":"multi-provider ai model routing with cost optimization","description":"The extension implements intelligent routing across multiple AI providers (specific providers undocumented) to optimize for cost, latency, and model capability. The routing mechanism selects appropriate models for each task based on complexity and cost constraints, claiming to save up to 98% on AI costs through intelligent provider selection.","intents":["I want to use multiple AI providers but have the system automatically choose the most cost-effective option","I need to balance cost and quality by using cheaper models for simple tasks and premium models for complex ones","I want to reduce my AI API spending without sacrificing code quality"],"best_for":["cost-conscious teams running multiple agents with high API usage","organizations with existing relationships with multiple AI providers","projects seeking to optimize cloud spending without quality degradation"],"limitations":["Supported AI providers not enumerated — unclear which providers are supported (OpenAI, Anthropic, local models, etc.)","Routing algorithm undocumented — no visibility into how provider selection decisions are made","Cost savings claim (98%) lacks supporting methodology or benchmark data","No documentation on fallback behavior if primary provider is unavailable","Model-to-agent mapping undocumented — unclear if users can specify preferred models per agent","No cost tracking or budgeting UI documented for monitoring actual spending"],"requires":["API keys for multiple supported AI providers (specific providers undocumented)","Network connectivity to provider APIs"],"input_types":["task complexity metrics","cost constraints","latency requirements"],"output_types":["provider selection decisions","cost optimization reports","model performance metrics"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_12","uri":"capability://tool.use.integration.vs.code.extension.marketplace.plugin.system.with.community.contributions","name":"vs code extension marketplace plugin system with community contributions","description":"The extension provides a plugin marketplace enabling developers to extend agent capabilities through community-contributed plugins. Plugins are organized into categories (AI Models & Prompts, Code Templates, Testing Tools, Security Scanners, Documentation Generators, and 6+ others) with semantic versioning and automatic updates. The revenue model shares 85% of plugin revenue with developers.","intents":["I want to extend the AI agents with custom capabilities specific to my project or domain","I want to share my custom agent extensions with the community and earn revenue","I want to discover and install community-built plugins to enhance agent capabilities"],"best_for":["developers building domain-specific extensions (e.g., specialized security scanners, framework-specific code generators)","teams creating internal tools and wanting to monetize them","users seeking specialized capabilities beyond built-in agents"],"limitations":["Plugin API documentation undocumented — unclear how to develop custom plugins","Sandboxing and security model for plugins undocumented — potential security risks from untrusted plugins","Plugin discovery mechanism undocumented — unclear how users find relevant plugins","Revenue sharing terms (85/15 split) may not be attractive for all developers","No documentation on plugin versioning conflicts or dependency management","Plugin update mechanism may break existing workflows if updates introduce breaking changes"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Plugin development SDK (documentation undocumented)","Understanding of extension architecture and API"],"input_types":["plugin code","plugin metadata","configuration files"],"output_types":["installed plugins","extended agent capabilities","revenue reports (for plugin developers)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_2","uri":"capability://code.generation.editing.automated.code.review.with.security.and.performance.analysis","name":"automated code review with security and performance analysis","description":"A Code Reviewer Agent analyzes code for security vulnerabilities, performance anti-patterns, and best practices violations. The agent operates on code selections, files, or entire projects (scope unclear) and generates detailed quality reports with actionable recommendations. It enforces organizational coding standards and identifies issues across multiple dimensions simultaneously rather than requiring separate linting tools.","intents":["I want to review my code for security vulnerabilities before committing","I need to ensure my code follows team best practices and coding standards","I want performance analysis to identify bottlenecks or inefficient patterns in my code"],"best_for":["teams implementing code review processes without dedicated reviewers","security-conscious teams needing automated vulnerability scanning","developers learning best practices through AI-guided feedback"],"limitations":["Scope of review unclear — may be limited to individual files rather than cross-file security issues","No documentation on which security frameworks or standards are checked (OWASP, CWE, etc.)","Cannot access external dependencies or third-party library vulnerabilities beyond static analysis","Performance recommendations may not account for specific runtime environments or load profiles","No integration with existing linting tools (ESLint, Pylint) documented"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Source code accessible within workspace"],"input_types":["source code","code selections","entire files or projects"],"output_types":["security vulnerability reports","performance analysis","best practices recommendations","code quality metrics"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_3","uri":"capability://code.generation.editing.automated.test.generation.and.execution.with.self.healing.capability","name":"automated test generation and execution with self-healing capability","description":"An AI Test Engineer Agent auto-generates unit and integration tests from source code, executes test suites, analyzes failures with AI reasoning, and automatically fixes failing tests. The agent identifies test coverage gaps and generates tests to fill them. It supports Jest, Vitest, Mocha (JavaScript), and PyTest (Python) frameworks, with a claimed 'self-healing' mechanism that adapts tests when source code changes (implementation details undocumented).","intents":["I want to generate comprehensive unit tests for my code without writing them manually","I need to understand why my tests are failing and have the AI suggest fixes","I want to identify gaps in test coverage and auto-generate tests to improve coverage metrics"],"best_for":["teams with low test coverage seeking to improve quality metrics rapidly","developers new to testing frameworks who need guidance on test structure","projects maintaining high test coverage requirements with limited QA resources"],"limitations":["Supported languages explicitly limited to JavaScript, Python, Java; other languages unsupported","Test framework support limited to Jest, Vitest, Mocha, PyTest; other frameworks (Pytest plugins, custom frameworks) unsupported","'Self-healing tests' mechanism is undocumented — unclear how agent detects code changes or adapts test assertions","Cannot generate tests for code with external dependencies or complex mocking requirements","Test quality depends on code clarity; poorly documented or overly complex functions may produce inadequate tests","No integration with CI/CD pipelines documented"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Supported test framework installed (Jest, Vitest, Mocha for JavaScript; PyTest for Python)","Source code in supported language (JavaScript, Python, Java)"],"input_types":["source code","function signatures","test specifications"],"output_types":["generated test code","test execution results","coverage reports","test failure analysis"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_4","uri":"capability://automation.workflow.background.github.issue.resolution.with.ai.reasoning","name":"background github issue resolution with ai reasoning","description":"A GitHub Issue Resolver Agent operates asynchronously in the background to analyze GitHub issues, understand requirements, and generate solutions. The agent integrates with GitHub repositories (authentication method undocumented) to read issues and potentially create pull requests or commits. It decomposes issue descriptions into implementation tasks and generates code to resolve them without explicit user invocation.","intents":["I want the AI to automatically resolve GitHub issues by generating code and creating pull requests","I need to triage issues and have the AI suggest implementations for straightforward bugs or features","I want to reduce the time between issue creation and resolution by automating implementation"],"best_for":["open-source projects with high issue volume seeking to reduce triage burden","teams with well-documented issues that can be automatically resolved","projects with standardized issue templates enabling consistent AI interpretation"],"limitations":["GitHub integration authentication method undocumented — unclear if requires personal access token or OAuth","Write access scope unclear — unknown whether agent can create branches, commits, or only read issues","No documentation on issue complexity detection — agent may attempt to resolve issues beyond its capability","Cannot handle issues requiring human judgment, design decisions, or stakeholder input","May generate solutions that don't align with project architecture or coding standards if not well-documented","No rollback mechanism documented if auto-generated solutions introduce bugs"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","GitHub repository access (authentication method undocumented)","GitHub issues in accessible repository"],"input_types":["GitHub issue descriptions","issue labels and metadata","repository code context"],"output_types":["pull requests","code commits","issue resolution suggestions"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_5","uri":"capability://safety.moderation.background.vulnerability.scanning.and.security.analysis","name":"background vulnerability scanning and security analysis","description":"A Vulnerability Scanner Agent operates asynchronously to identify security issues in code, dependencies, and configurations. The agent scans for known vulnerabilities in third-party libraries, detects insecure coding patterns, and generates security reports. It runs in the background without explicit invocation, continuously monitoring the codebase for emerging security issues.","intents":["I want continuous security scanning of my codebase without manual vulnerability checks","I need to identify vulnerable dependencies and get recommendations for updates","I want to detect insecure coding patterns before they reach production"],"best_for":["security-conscious teams implementing continuous security monitoring","projects with compliance requirements (SOC 2, HIPAA, PCI-DSS) needing automated scanning","open-source projects seeking to maintain security reputation"],"limitations":["Vulnerability database source undocumented — unclear if uses CVE, NVD, or proprietary database","No documentation on update frequency for vulnerability definitions","Cannot detect zero-day vulnerabilities or novel attack patterns","Dependency scanning scope unclear — may not detect transitive dependencies or supply chain attacks","No integration with package managers (npm, pip, Maven) documented for automated remediation","False positive rate undocumented — may generate noise requiring manual triage"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Source code and dependency files accessible in workspace"],"input_types":["source code","dependency manifests (package.json, requirements.txt, pom.xml, etc.)","configuration files"],"output_types":["vulnerability reports","severity assessments","remediation recommendations","dependency update suggestions"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_6","uri":"capability://code.generation.editing.background.performance.optimization.with.bottleneck.identification","name":"background performance optimization with bottleneck identification","description":"A Performance Optimizer Agent operates asynchronously to analyze code for performance anti-patterns, identify bottlenecks, and suggest optimizations. The agent examines algorithms, data structures, and resource usage patterns to recommend improvements. It generates optimization suggestions with estimated performance impact, allowing developers to prioritize improvements.","intents":["I want to identify performance bottlenecks in my code without manual profiling","I need suggestions for optimizing algorithms and data structures for better runtime performance","I want to understand the performance impact of my code changes before committing"],"best_for":["performance-critical applications (real-time systems, high-throughput services)","developers optimizing for specific constraints (memory, CPU, latency)","teams seeking to improve application responsiveness without profiling expertise"],"limitations":["Cannot access runtime profiling data — analysis limited to static code patterns","Performance impact estimates may not reflect actual runtime behavior on target hardware","Optimization suggestions may not account for language-specific runtime characteristics (JIT compilation, garbage collection)","Cannot detect performance issues caused by external services or network latency","Optimization recommendations may conflict with readability or maintainability goals","No integration with performance monitoring tools (New Relic, DataDog) documented"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Source code accessible in workspace"],"input_types":["source code","algorithm implementations","data structure usage patterns"],"output_types":["performance analysis reports","optimization suggestions","estimated performance improvements","refactored code samples"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_7","uri":"capability://text.generation.language.background.documentation.generation.and.maintenance","name":"background documentation generation and maintenance","description":"A Documentation Improver Agent operates asynchronously to generate, update, and maintain code documentation. The agent analyzes source code to generate docstrings, comments, and README sections. It keeps documentation synchronized with code changes, detecting when documentation becomes stale and suggesting updates.","intents":["I want to auto-generate documentation for my code without writing it manually","I need to keep documentation synchronized with code changes automatically","I want to improve documentation quality and consistency across my project"],"best_for":["teams with documentation debt seeking rapid catch-up","open-source projects requiring comprehensive documentation for user adoption","developers maintaining multiple projects with limited documentation resources"],"limitations":["Documentation quality depends on code clarity — poorly named variables or functions produce inadequate documentation","Cannot generate high-level architectural documentation from code alone","No integration with documentation platforms (Confluence, GitBook, ReadTheDocs) documented","Stale documentation detection mechanism undocumented — unclear how agent identifies outdated docs","Generated documentation may require manual review and editing for accuracy","No support for multiple documentation formats (Markdown, reStructuredText, AsciiDoc) documented"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Source code with clear naming conventions and structure"],"input_types":["source code","function signatures","existing documentation"],"output_types":["generated docstrings","code comments","README sections","API documentation"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_8","uri":"capability://data.processing.analysis.background.code.quality.analysis.with.metrics.reporting","name":"background code quality analysis with metrics reporting","description":"A Code Quality Checker Agent operates asynchronously to analyze code for quality metrics including complexity, maintainability, and adherence to standards. The agent generates quality reports with specific recommendations for improvement, tracking metrics over time to identify trends.","intents":["I want to track code quality metrics across my project over time","I need to identify code that's too complex or difficult to maintain","I want to enforce consistent code quality standards across team members"],"best_for":["teams implementing code quality gates in CI/CD pipelines","projects with strict maintainability requirements","developers seeking objective feedback on code quality"],"limitations":["Quality metrics may not correlate with actual code maintainability or bug rates","No integration with existing code quality tools (SonarQube, Code Climate) documented","Cannot detect quality issues related to architecture or design patterns","Metrics thresholds and standards undocumented — unclear if customizable per project","Historical trend analysis capability undocumented","No integration with CI/CD systems for automated quality gates"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Source code accessible in workspace"],"input_types":["source code","project structure","existing quality metrics"],"output_types":["quality reports","complexity metrics","maintainability scores","improvement recommendations"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ai-dev-agents-ai-dev-agents-workforce__cap_9","uri":"capability://automation.workflow.background.dependency.management.with.automated.updates","name":"background dependency management with automated updates","description":"A Dependency Updater Agent operates asynchronously to monitor project dependencies, identify outdated packages, and suggest or automatically apply updates. The agent checks for security updates, compatibility issues, and breaking changes before recommending updates.","intents":["I want to keep my dependencies up-to-date without manual version checking","I need to identify security updates for vulnerable dependencies","I want to understand compatibility implications before updating dependencies"],"best_for":["teams managing multiple projects with complex dependency trees","security-conscious projects requiring rapid security patch deployment","developers seeking to reduce dependency management overhead"],"limitations":["Supported package managers undocumented — unclear if supports npm, pip, Maven, Gradle, etc.","Breaking change detection mechanism undocumented — may miss compatibility issues","Cannot test updated dependencies in actual application context","No integration with CI/CD for automated testing of updates documented","Update application scope unclear — may be limited to direct dependencies, not transitive","No rollback mechanism documented if updates introduce issues"],"requires":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider","Dependency manifest files (package.json, requirements.txt, pom.xml, etc.) in workspace"],"input_types":["dependency manifests","lock files","version constraints"],"output_types":["update recommendations","compatibility analysis","security update alerts","updated dependency files"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":35,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.80+ (minimum version not explicitly documented)","Active API key for at least one supported AI provider (providers not enumerated in documentation)","Project files accessible within VS Code workspace","Active API key for at least one supported AI provider","Error log or stack trace in accessible format","Test framework installed (Jest, Vitest, Mocha for JavaScript; PyTest for Python)","Source code in supported language (JavaScript, Python, Java)","API keys for multiple supported AI providers (specific providers undocumented)","Network connectivity to provider APIs","Plugin development SDK (documentation undocumented)"],"failure_modes":["Scope of code generation unclear — may be limited to current file or single module rather than cross-project dependencies","No documented support for generating code that spans multiple interconnected services or microservices","Context window limitations may prevent understanding of very large codebases (>10k LOC)","Generated code quality depends on clarity of natural language description; ambiguous requests may produce suboptimal implementations","Unclear whether agent requires active debugging session or can analyze static error logs","No documentation on supported error types or programming languages for debugging","Performance improvement suggestions may be generic rather than tailored to specific runtime characteristics","Cannot access runtime state or memory dumps beyond what's visible in stack traces","Coverage analysis limited to supported languages (JavaScript, Python, Java); others unsupported","Cannot generate tests for code with complex external dependencies or mocking requirements","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.12,"quality":0.5,"ecosystem":0.35000000000000003,"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":"2026-05-24T12:16:34.118Z","last_scraped_at":"2026-05-03T15:20:31.090Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ai-dev-agents-multi-agent-ai-workforce","compare_url":"https://unfragile.ai/compare?artifact=ai-dev-agents-multi-agent-ai-workforce"}},"signature":"YuxBcK01UtN3kn02HD8XF52qWdVsG10oAUZ2roHQXAdVpVXetLCauOlJcYsDe9NPqwURBVKkGwqCeIvqknkcAg==","signedAt":"2026-06-20T04:24:27.305Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-dev-agents-multi-agent-ai-workforce","artifact":"https://unfragile.ai/ai-dev-agents-multi-agent-ai-workforce","verify":"https://unfragile.ai/api/v1/verify?slug=ai-dev-agents-multi-agent-ai-workforce","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"}}