{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-showlab--awesome-gui-agent","slug":"showlab--awesome-gui-agent","name":"Awesome-GUI-Agent","type":"repo","url":"https://github.com/showlab/Awesome-GUI-Agent","page_url":"https://unfragile.ai/showlab--awesome-gui-agent","categories":["ai-agents"],"tags":["ai-assistant","awesome","graphical-user-interface","gui-agents","llm-agent"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-showlab--awesome-gui-agent__cap_0","uri":"capability://memory.knowledge.curated.resource.discovery.and.indexing.for.gui.agent.research","name":"curated resource discovery and indexing for gui agent research","description":"Maintains a systematically organized, single-file knowledge base that catalogs and cross-references academic papers, datasets, benchmarks, models, and open-source projects across five distinct GUI agent research domains (vision-language models, web navigation, mobile agents, desktop control, multimodal agents). Uses standardized entry formatting with bibliographic metadata, access badges, and temporal organization to enable rapid navigation and discovery of domain-specific resources without requiring external search infrastructure.","intents":["Find peer-reviewed papers on specific GUI agent architectures (web vs mobile vs desktop)","Discover benchmark datasets for evaluating GUI agent performance","Locate open-source implementations of GUI automation tools","Track the evolution of GUI agent research over time by publication date","Identify safety and security research relevant to autonomous GUI interaction"],"best_for":["Researchers building new GUI agent models seeking prior art and benchmarks","Engineers implementing GUI automation tools who need reference implementations","Teams evaluating which GUI agent approach (web/mobile/desktop) fits their use case","Academic groups conducting literature reviews on multimodal agent architectures"],"limitations":["Single README.md file structure limits scalability beyond ~1000 entries without performance degradation","No full-text search capability — discovery relies on manual category navigation and GitHub's text search","Categorization is static and manually maintained — emerging research areas may lag behind publication timeline","No versioning or historical tracking of resource changes — cannot audit when entries were added/removed"],"requires":["GitHub account for browsing and contributing","Basic markdown literacy to understand entry format","No API keys or external dependencies required"],"input_types":["GitHub repository URLs","arXiv paper links","Project homepages","Publication metadata (title, date, venue)"],"output_types":["Structured markdown entries with bibliographic data","Categorized resource lists organized by domain","Quick-navigation index with direct links to resource categories"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_1","uri":"capability://text.generation.language.automated.citation.generation.and.standardized.entry.formatting.via.gpt.agent","name":"automated citation generation and standardized entry formatting via gpt agent","description":"Integrates a custom GPT-powered agent (Awesome-Paper-Agent) that automatically generates standardized resource entries following a consistent bibliographic format with title, publication date, GitHub stars badge, arXiv badge, and website badge. The system enforces a canonical entry structure across all contributions, reducing manual formatting overhead and ensuring consistency in how papers, projects, and datasets are presented in the knowledge base.","intents":["Quickly add new papers or projects without manually formatting citations","Ensure all entries follow the same standardized format for consistency","Extract and validate bibliographic metadata (title, date, venue) from URLs","Generate badge links for GitHub repositories and arXiv papers automatically","Reduce contributor friction by automating repetitive formatting tasks"],"best_for":["Community contributors who want to add resources without learning markdown formatting","Repository maintainers enforcing consistent entry structure across hundreds of contributions","Teams automating the ingestion of new papers from arXiv or GitHub releases"],"limitations":["GPT agent requires API access and incurs per-request costs for citation generation","Automated extraction may fail on non-standard paper URLs or projects without clear metadata","No validation that extracted metadata is accurate — requires human review before merge","Cannot handle papers published in venues without arXiv preprints or GitHub repositories"],"requires":["OpenAI API key or equivalent LLM provider access","Paper/project URL in a format the agent can parse","Manual review step to validate generated citations before committing"],"input_types":["Paper URLs (arXiv, conference proceedings, preprint servers)","GitHub repository URLs","Project homepage URLs"],"output_types":["Standardized markdown entry with title, date, badges","Formatted citation string ready for insertion into README.md","Structured metadata (publication date, venue, repository link)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_2","uri":"capability://memory.knowledge.multi.domain.resource.taxonomy.and.cross.domain.relationship.mapping","name":"multi-domain resource taxonomy and cross-domain relationship mapping","description":"Organizes GUI agent research across five interconnected domains (datasets/benchmarks, models/agents, surveys/literature, open-source projects, safety/security) with explicit cross-domain relationships showing how datasets inform model development, which enables practical projects, all while considering safety implications. The taxonomy structure reflects the dependency graph of GUI agent research, allowing users to trace from foundational datasets through to production implementations and safety considerations.","intents":["Understand which datasets are used to train and evaluate specific GUI agent models","Find open-source implementations that implement a particular research paper or model","Identify safety research relevant to a specific agent architecture or platform","Trace the research lineage from foundational work through to current state-of-the-art","Discover which benchmarks are most commonly used for evaluating GUI agents"],"best_for":["Researchers designing new GUI agent architectures who need to understand the full research ecosystem","Engineers selecting datasets and benchmarks for training and evaluation","Teams assessing safety and security implications of deploying GUI agents","Students learning the field and needing a structured overview of research dependencies"],"limitations":["Cross-domain relationships are implicit in the README structure — no explicit graph or database representation","No automated detection of relationships — all connections are manually curated","Difficult to query relationships programmatically — requires parsing markdown and inferring connections","Taxonomy is static and may not reflect emerging research areas that don't fit the five-domain model"],"requires":["Understanding of GUI agent research domains and their relationships","Ability to navigate markdown-based taxonomy structure","No external tools required — all information is in the README"],"input_types":["Research papers and projects categorized by domain","Metadata about which datasets are used in which models","Safety research relevant to specific agent architectures"],"output_types":["Organized resource lists grouped by domain","Implicit relationship mappings (e.g., 'this dataset is used in these models')","Navigation paths from foundational research to production implementations"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_3","uri":"capability://planning.reasoning.platform.specific.agent.architecture.categorization.and.comparison","name":"platform-specific agent architecture categorization and comparison","description":"Classifies GUI agents into five architectural categories based on their target platform and interaction approach: vision-language models (foundation models with visual understanding), web navigation agents (browser-based task automation), mobile device agents (smartphone/tablet control), desktop control agents (OS-level application automation), and multimodal agents (cross-platform capabilities). Each category includes representative implementations and key architectural characteristics, enabling users to understand the design trade-offs and capabilities of different agent types.","intents":["Choose the right agent architecture for a specific platform (web vs mobile vs desktop)","Understand the key differences between vision-language models and specialized agents","Find reference implementations for a particular agent architecture type","Compare capabilities and limitations of agents targeting the same platform","Identify which architectures support cross-platform operation"],"best_for":["Teams deciding whether to build a web, mobile, or desktop GUI agent","Researchers comparing architectural approaches across different platforms","Engineers selecting a reference implementation to build upon","Product managers evaluating which platforms to support in a GUI automation tool"],"limitations":["Categorization is based on primary platform focus — agents with multi-platform support may be listed in only one category","No quantitative comparison of performance, accuracy, or latency across architectures","Architectural characteristics are descriptive rather than prescriptive — no formal specification of what defines each category","Emerging hybrid architectures may not fit cleanly into the five-category taxonomy"],"requires":["Understanding of GUI agent concepts and platform-specific challenges","Familiarity with web, mobile, and desktop application architectures","No external tools required — all information is in the README"],"input_types":["Agent implementations categorized by platform","Architectural descriptions and key characteristics","Representative models for each category"],"output_types":["Categorized lists of agents by platform and architecture type","Comparison tables showing key characteristics of each category","Links to representative implementations for each architecture"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_4","uri":"capability://safety.moderation.safety.and.security.research.aggregation.for.gui.agent.deployment","name":"safety and security research aggregation for gui agent deployment","description":"Curates and organizes research on safety, security, and alignment considerations specific to GUI agents, including adversarial robustness, privacy implications of GUI automation, and risk mitigation strategies. This domain aggregates papers addressing vulnerabilities in GUI agent systems, defensive mechanisms, and best practices for safe deployment across web, mobile, and desktop platforms.","intents":["Identify security vulnerabilities specific to GUI agent architectures","Find research on adversarial robustness and attack vectors for GUI agents","Understand privacy implications of automating GUI interactions","Discover best practices and defensive mechanisms for safe GUI agent deployment","Assess regulatory and compliance considerations for autonomous GUI automation"],"best_for":["Security teams evaluating risks before deploying GUI agents in production","Researchers studying adversarial robustness and safety of multimodal agents","Compliance officers assessing regulatory implications of GUI automation","Teams building guardrails and safety mechanisms into GUI agent systems"],"limitations":["Safety research for GUI agents is an emerging field — fewer papers than in core agent research","Categorization of safety research is manual and may miss papers addressing safety tangentially","No quantitative risk assessment or severity ranking of identified vulnerabilities","Safety considerations are often platform-specific (web vs mobile vs desktop) but not explicitly separated"],"requires":["Understanding of security and safety concepts in autonomous systems","Familiarity with GUI agent architectures and their attack surfaces","No external tools required — all information is in the README"],"input_types":["Research papers on adversarial attacks against GUI agents","Security analysis and vulnerability disclosures","Best practices and defensive mechanism proposals"],"output_types":["Organized list of safety and security research papers","Categorized by threat type (adversarial, privacy, compliance)","Links to defensive mechanisms and mitigation strategies"],"categories":["safety-moderation","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_5","uri":"capability://search.retrieval.quick.navigation.index.with.direct.category.access","name":"quick-navigation index with direct category access","description":"Implements a table-of-contents style navigation system that provides direct links to major resource categories (datasets/benchmarks, models/agents, surveys, open-source projects, safety/security) at the top of the README, enabling users to jump directly to relevant sections without scrolling through the entire document. This navigation infrastructure is essential for managing a large single-file knowledge base and reducing friction for users seeking specific resource types.","intents":["Quickly navigate to a specific resource category without scrolling","Jump directly to benchmark datasets for GUI agent evaluation","Find open-source implementations without reading through papers","Access safety research without browsing the entire knowledge base","Locate survey papers and literature reviews on specific topics"],"best_for":["Users with a specific resource type in mind (e.g., 'I need a benchmark dataset')","Researchers conducting rapid literature reviews and needing quick access to surveys","Teams evaluating multiple resource categories in sequence","Mobile users or those with limited bandwidth wanting to minimize scrolling"],"limitations":["Navigation is limited to top-level categories — no sub-category quick links","Anchor links are fragile and break if section headers are renamed","No search functionality — users must know which category contains their target resource","Navigation structure is static and requires manual updates when new categories are added"],"requires":["GitHub markdown support for anchor links (standard in all modern browsers)","No external tools required — all navigation is built into the README"],"input_types":["Category names and section headers","Anchor link targets within the README"],"output_types":["Quick-navigation index with clickable category links","Direct jumps to resource category sections","Breadcrumb-style navigation within the document"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_6","uri":"capability://memory.knowledge.temporal.organization.and.publication.date.tracking","name":"temporal organization and publication date tracking","description":"Tracks and organizes resources by publication date (year, venue, conference) to enable users to understand the evolution of GUI agent research over time and identify recent advances. Each resource entry includes publication metadata in parentheses, allowing users to filter by time period and understand which approaches are foundational versus cutting-edge.","intents":["Find the most recent papers on a specific GUI agent topic","Understand the historical evolution of GUI agent research","Identify foundational papers that established key concepts","Track the adoption timeline of specific architectures or approaches","Discover emerging research areas with recent publications"],"best_for":["Researchers conducting literature reviews and needing chronological context","Teams assessing the maturity of specific GUI agent approaches","Students learning the field and wanting to understand research progression","Practitioners identifying which techniques are established vs experimental"],"limitations":["Publication date is manually entered — no automated extraction from URLs","No sorting or filtering by date — users must manually scan entries to find recent work","Venue information is inconsistent — some entries include conference names, others don't","Preprints and papers in review may have outdated dates relative to actual publication"],"requires":["Publication date and venue information for each resource","Manual entry of temporal metadata by contributors","No external tools required — all information is in the README"],"input_types":["Publication dates (year, month if available)","Conference or journal names","Preprint vs published status"],"output_types":["Chronologically organized resource lists","Publication metadata for each entry","Timeline of research evolution within each category"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_7","uri":"capability://search.retrieval.github.repository.popularity.metrics.and.adoption.signals","name":"github repository popularity metrics and adoption signals","description":"Displays GitHub stars badges for open-source projects and repositories, providing a quantitative signal of community adoption and project maturity. This metric is embedded directly in resource entries, allowing users to quickly assess the popularity and active maintenance status of GUI agent implementations without visiting external sites.","intents":["Identify the most popular and actively maintained GUI agent implementations","Assess community adoption of specific approaches and architectures","Evaluate project maturity based on GitHub engagement signals","Discover well-supported open-source tools with active communities","Compare the relative popularity of competing implementations"],"best_for":["Teams selecting an open-source GUI agent framework to build upon","Researchers identifying which implementations have gained traction","Practitioners preferring well-maintained projects with active communities","Investors or managers assessing the maturity of the GUI agent ecosystem"],"limitations":["GitHub stars are a popularity metric, not a quality metric — high stars don't guarantee code quality","Stars accumulate over time and don't reflect recent activity or maintenance status","Projects with niche audiences may have low stars despite being excellent for specific use cases","No information about commit frequency, issue resolution time, or contributor activity"],"requires":["GitHub repository URL for the project","GitHub API access to fetch current star count (if badges are dynamically generated)","No external tools required for viewing — badges are static images or markdown"],"input_types":["GitHub repository URLs","Current star count (static or dynamically fetched)"],"output_types":["GitHub stars badge with current count","Relative popularity ranking within resource categories","Adoption signal for project selection decisions"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-showlab--awesome-gui-agent__cap_8","uri":"capability://search.retrieval.multimodal.resource.linking.with.arxiv.and.website.badges","name":"multimodal resource linking with arxiv and website badges","description":"Provides standardized badge links to multiple resource formats for each entry: arXiv preprints for academic papers, GitHub repositories for code, and project websites for tools and frameworks. This multi-format linking enables users to access resources in their preferred format (paper, code, or documentation) without manual searching, and supports the full research-to-implementation pipeline.","intents":["Access the full academic paper for a GUI agent research contribution","Find the source code implementation of a published approach","Navigate to project documentation and usage guides","Compare multiple formats of the same resource (paper vs code vs docs)","Trace from published research through to open-source implementations"],"best_for":["Researchers wanting to read full papers alongside implementations","Engineers implementing published approaches and needing both paper and code","Teams evaluating whether a paper has an associated open-source release","Users preferring documentation over academic papers for learning"],"limitations":["Not all papers have associated code — arXiv badge may be missing for some entries","Not all projects have dedicated websites — website badge may be missing","Badge links are manually maintained — broken links require manual updates","No validation that linked resources are actually related to the entry"],"requires":["arXiv URL for academic papers","GitHub repository URL for code","Project website URL for documentation","Manual entry of all three links by contributors"],"input_types":["arXiv paper identifiers","GitHub repository URLs","Project homepage URLs"],"output_types":["Standardized badge links for each resource format","Direct access to papers, code, and documentation","Multi-format resource discovery"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["GitHub account for browsing and contributing","Basic markdown literacy to understand entry format","No API keys or external dependencies required","OpenAI API key or equivalent LLM provider access","Paper/project URL in a format the agent can parse","Manual review step to validate generated citations before committing","Understanding of GUI agent research domains and their relationships","Ability to navigate markdown-based taxonomy structure","No external tools required — all information is in the README","Understanding of GUI agent concepts and platform-specific challenges"],"failure_modes":["Single README.md file structure limits scalability beyond ~1000 entries without performance degradation","No full-text search capability — discovery relies on manual category navigation and GitHub's text search","Categorization is static and manually maintained — emerging research areas may lag behind publication timeline","No versioning or historical tracking of resource changes — cannot audit when entries were added/removed","GPT agent requires API access and incurs per-request costs for citation generation","Automated extraction may fail on non-standard paper URLs or projects without clear metadata","No validation that extracted metadata is accurate — requires human review before merge","Cannot handle papers published in venues without arXiv preprints or GitHub repositories","Cross-domain relationships are implicit in the README structure — no explicit graph or database representation","No automated detection of relationships — all connections are manually curated","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.42308280420005495,"quality":0.28,"ecosystem":0.55,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.063Z","last_scraped_at":"2026-04-22T08:02:01.436Z","last_commit":"2025-08-17T15:58:09Z"},"community":{"stars":1171,"forks":71,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=showlab--awesome-gui-agent","compare_url":"https://unfragile.ai/compare?artifact=showlab--awesome-gui-agent"}},"signature":"tvp0o8v5l5Le6YGjfZuQYoeq/zIzPF0E3lzR7jH9oUfwJaVPMSo+OCmOi2+Tio1BG4WZbRATyYbqLSdFkZndCw==","signedAt":"2026-06-22T11:21:19.233Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/showlab--awesome-gui-agent","artifact":"https://unfragile.ai/showlab--awesome-gui-agent","verify":"https://unfragile.ai/api/v1/verify?slug=showlab--awesome-gui-agent","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"}}