{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-rowboatlabs--rowboat","slug":"rowboatlabs--rowboat","name":"rowboat","type":"agent","url":"https://www.rowboatlabs.com","page_url":"https://unfragile.ai/rowboatlabs--rowboat","categories":["ai-agents"],"tags":["agents","agents-sdk","ai","ai-agents","ai-agents-automation","chatgpt","claude-code","claude-cowork","generative-ai","llm","multiagent","opeani","open-source","orchestration","productivity"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-rowboatlabs--rowboat__cap_0","uri":"capability://memory.knowledge.local.first.knowledge.graph.construction.from.work.data","name":"local-first knowledge graph construction from work data","description":"Automatically ingests emails, meeting notes, calendar events, and documents from integrated sources (Gmail, Google Calendar, Fireflies, Granola) and builds a queryable knowledge graph stored as plain Markdown files in an Obsidian-compatible vault (~/.rowboat/). Uses entity extraction and relationship mapping to create interconnected nodes representing people, projects, and topics, enabling semantic search and context retrieval without cloud dependency.","intents":["I want my AI assistant to understand my work context from my emails and meetings without uploading everything to the cloud","I need to build a searchable personal knowledge base that stays on my machine and integrates with my existing Obsidian vault","I want automatic relationship mapping between people, projects, and topics from my work communications"],"best_for":["individual knowledge workers prioritizing data privacy","teams using Obsidian for knowledge management who want AI augmentation","developers building local-first AI applications"],"limitations":["Requires manual OAuth setup for each data source (Gmail, Google Calendar, etc.)","Graph construction latency depends on volume of ingested documents; no incremental indexing specified","Limited to supported integrations (Gmail, Google Calendar, Fireflies, Granola) — custom data sources require custom sync service implementation"],"requires":["Desktop Application or Web Application installation","OAuth credentials for at least one supported data source","Local file system with write access to ~/.rowboat/ directory","Markdown editor or Obsidian for vault inspection"],"input_types":["email messages (Gmail)","calendar events (Google Calendar)","meeting transcripts (Fireflies)","meeting notes (Granola)","markdown documents"],"output_types":["markdown files (knowledge graph nodes)","structured entity relationships","semantic search indices"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_1","uri":"capability://automation.workflow.multi.source.data.synchronization.with.background.agents","name":"multi-source data synchronization with background agents","description":"Runs persistent background agents that continuously sync data from external services (Gmail, Google Calendar, Fireflies, Granola) on configurable schedules, transforming heterogeneous data formats into unified Markdown representations. Implements OAuth-based authentication and handles incremental updates to avoid re-processing entire datasets, with error handling and retry logic for failed syncs.","intents":["I want my knowledge graph to stay current without manual data imports or API calls","I need to set up recurring sync jobs that run in the background and handle authentication securely","I want to integrate multiple data sources with different APIs into a single unified knowledge base"],"best_for":["teams running Rowboat Web Application with persistent infrastructure","individual users with Desktop Application who want background sync without manual intervention","developers building multi-source data pipelines"],"limitations":["Sync frequency and scheduling logic not fully documented — unclear if event-driven or polling-based","OAuth token refresh and expiration handling not specified; potential for stale credentials","No built-in conflict resolution for duplicate or contradictory data from multiple sources","Desktop Application sync runs only when app is active; no true background daemon on macOS/Windows"],"requires":["OAuth credentials configured for each data source","Network connectivity for external API calls","For Web Application: Docker Compose or equivalent deployment infrastructure","For Desktop Application: application running in foreground or background process"],"input_types":["OAuth tokens","API credentials","sync schedule configuration","external API responses (JSON, email MIME, calendar iCal)"],"output_types":["markdown files","sync logs","error reports"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_10","uri":"capability://automation.workflow.markdown.based.workflow.and.configuration.management","name":"markdown-based workflow and configuration management","description":"Stores all workflow definitions, agent configurations, prompts, and project settings as Markdown files in the local vault, enabling version control, human readability, and portability. Supports import/export of workflows for sharing and migration, with Markdown as the canonical format for all configuration rather than proprietary binary formats.","intents":["I want to version control my agent workflows and configurations using Git","I need to share workflows with teammates and have them review changes in a readable format","I want to migrate my workflows between Rowboat instances or export them for use in other systems"],"best_for":["teams using Git for configuration management","developers wanting human-readable workflow definitions","organizations requiring portability and avoiding vendor lock-in"],"limitations":["Markdown format may not capture all workflow complexity; visual editor abstractions may not round-trip perfectly","Parsing and validation of Markdown configurations not documented; potential for syntax errors","No schema validation or IDE support for Markdown workflow files","Large workflows may become unwieldy in Markdown format"],"requires":["Text editor or IDE for editing Markdown files","Git or version control system for tracking changes","Understanding of Rowboat Markdown format for workflows and configurations"],"input_types":["markdown files","workflow definitions","agent configurations","prompt templates"],"output_types":["markdown files","executable workflow definitions","portable workflow exports"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_11","uri":"capability://automation.workflow.multi.tenant.project.and.workspace.isolation","name":"multi-tenant project and workspace isolation","description":"Supports multiple isolated projects within a single Rowboat Web Application instance, with separate workflows, configurations, and data for each project. Implements workspace-level access control and configuration, enabling teams to organize agent workflows by project or department without cross-contamination of data or configurations.","intents":["I want to organize agent workflows by project or team without mixing configurations","I need to isolate data and credentials between different projects for security","I want multiple teams to use the same Rowboat instance with separate workspaces"],"best_for":["organizations deploying shared Rowboat instances for multiple teams","enterprises requiring project-level isolation and access control","teams managing multiple distinct agent workflows"],"limitations":["Access control model not documented; unclear if role-based or permission-based","Cross-project data sharing not supported; workflows cannot reference other projects' knowledge graphs","Project-level resource quotas not mentioned; potential for one project consuming all resources","Backup and disaster recovery at project level not documented"],"requires":["Web Application deployment","Project creation and configuration","User accounts with project-level permissions"],"input_types":["project configuration","user permissions","workflow definitions"],"output_types":["isolated project environments","project-scoped workflows and data"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_12","uri":"capability://tool.use.integration.voice.and.twilio.integration.for.conversational.agent.access","name":"voice and twilio integration for conversational agent access","description":"Integrates with Twilio to enable voice-based interaction with agents through phone calls or voice messages. Converts voice input to text, processes through agent workflows, and returns voice responses, enabling hands-free agent access for mobile or voice-first use cases.","intents":["I want to interact with my AI agent via voice call or voice message","I need to enable voice-based task automation for mobile users","I want to provide voice interface to agent workflows for accessibility"],"best_for":["mobile-first organizations wanting voice automation","accessibility-focused teams enabling voice interaction","customer service teams using voice-based agent workflows"],"limitations":["Twilio integration setup and configuration not documented","Speech-to-text and text-to-speech models not specified; may have accuracy or latency issues","Voice conversation context management unclear; potential for lost context in long conversations","Twilio costs and rate limits apply; potential for unexpected expenses"],"requires":["Twilio account and API credentials","Phone number provisioned through Twilio","Speech-to-text and text-to-speech services (Twilio or external)","Rowboat Web Application or Desktop Application with Twilio integration"],"input_types":["voice audio (phone call or voice message)","speech-to-text transcription"],"output_types":["agent response text","text-to-speech audio","voice message or call response"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_13","uri":"capability://code.generation.editing.python.sdk.for.programmatic.agent.orchestration","name":"python sdk for programmatic agent orchestration","description":"Provides a Python SDK for building agent workflows programmatically, enabling developers to define agents, tools, and workflows in Python code rather than through UI or configuration files. Supports agent instantiation, tool registration, workflow execution, and result handling through Python APIs.","intents":["I want to build agent workflows in Python code for version control and testing","I need to programmatically define agents and tools without using the visual editor","I want to integrate Rowboat agents into my Python application or data pipeline"],"best_for":["Python developers building agent systems","data science teams integrating agents into ML pipelines","organizations with Python-first development practices"],"limitations":["Python SDK API surface not documented; unclear what classes and methods are available","SDK version compatibility with Web/Desktop Application versions not specified","No async/await support mentioned; potential for blocking I/O in long-running workflows","Limited to Python; no support for other languages"],"requires":["Python 3.9+","Rowboat Python SDK package installed via pip","Rowboat instance (Web Application or Desktop Application) running","API credentials or connection configuration"],"input_types":["Python code defining agents and workflows","tool definitions","workflow parameters"],"output_types":["agent instances","workflow execution results","Python objects representing agent state"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_14","uri":"capability://automation.workflow.electron.based.desktop.application.with.ipc.communication","name":"electron-based desktop application with ipc communication","description":"Implements Rowboat X as an Electron application with inter-process communication (IPC) between main process and renderer process, enabling local-first knowledge graph management and copilot chat on desktop. Uses Electron's native file system access to manage Markdown vault and background agents without cloud dependency.","intents":["I want to run Rowboat as a native desktop application on macOS, Windows, or Linux","I need local-first knowledge management without cloud sync or external servers","I want background agents running on my machine without keeping a web browser open"],"best_for":["individual knowledge workers using macOS, Windows, or Linux","organizations with strict data residency requirements","developers building Electron-based AI applications"],"limitations":["Electron distribution size and memory overhead significant; not suitable for resource-constrained devices","Background agent execution only while app is running; no true daemon mode on some platforms","Cross-platform compatibility testing required; platform-specific bugs possible","Electron security model requires careful handling of IPC messages to prevent injection attacks"],"requires":["macOS 10.13+, Windows 10+, or Linux with X11/Wayland","Electron runtime (bundled with application)","LLM API credentials (OpenAI or Anthropic)","OAuth credentials for data source integrations"],"input_types":["user interactions in Electron UI","IPC messages between main and renderer processes","file system operations on local vault"],"output_types":["Markdown files in local vault","UI updates via IPC","background agent execution results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_2","uri":"capability://text.generation.language.ai.copilot.chat.with.context.aware.task.assistance","name":"ai copilot chat with context-aware task assistance","description":"Provides an interactive chat interface (Skipper backend in Web Application, Copilot Chat in Desktop Application) that uses the local knowledge graph as context to assist with work tasks like meeting prep, email drafting, and document creation. Implements RAG (Retrieval-Augmented Generation) to inject relevant knowledge graph nodes into LLM prompts, enabling responses grounded in user's work history and relationships.","intents":["I want to draft an email and have the AI suggest content based on my previous communications with this person","I need help preparing for a meeting and want the AI to surface relevant past conversations and context","I want to create a document and have the AI suggest structure and content based on related work I've done"],"best_for":["individual knowledge workers using Desktop Application","teams using Web Application for collaborative task assistance","developers building context-aware LLM applications"],"limitations":["RAG retrieval quality depends on knowledge graph construction accuracy; poor entity extraction leads to irrelevant context injection","No multi-turn conversation memory beyond current session — context resets on new chat","LLM model selection limited to configured providers (OpenAI, Anthropic); no local model support documented","Latency for RAG retrieval + LLM inference not specified; potential for slow response times with large knowledge graphs"],"requires":["LLM API key (OpenAI or Anthropic)","Populated knowledge graph with relevant work data","Web Application or Desktop Application running","Network connectivity for LLM API calls"],"input_types":["natural language chat messages","task context (meeting, email, document type)","knowledge graph nodes (retrieved via RAG)"],"output_types":["natural language responses","suggested content (email drafts, meeting notes, document outlines)","referenced knowledge graph nodes"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_3","uri":"capability://planning.reasoning.visual.workflow.editor.for.multi.agent.system.configuration","name":"visual workflow editor for multi-agent system configuration","description":"Provides a drag-and-drop UI for designing agent workflows in the Web Application, allowing users to define agent nodes, tool connections, and data flow between agents without code. Stores workflow definitions as structured configuration (likely JSON or YAML) that can be executed by the agent runtime, with support for conditional branching, loops, and parallel execution patterns.","intents":["I want to design a multi-agent workflow visually without writing code","I need to configure how agents interact with tools and pass data between steps","I want to test my workflow design before deploying it to production"],"best_for":["non-technical team members designing automation workflows","product managers prototyping multi-agent systems","developers building no-code automation platforms"],"limitations":["Visual editor abstraction may not support complex conditional logic or dynamic branching","Workflow definition format not documented — unclear if portable to other systems","No version control or collaboration features mentioned for concurrent workflow editing","Limited to Web Application; Desktop Application does not expose visual editor"],"requires":["Web Application deployment","Project created in Web Application","Access to workflow editor UI","Understanding of agent capabilities and tool schemas"],"input_types":["agent definitions","tool schemas","workflow configuration (drag-and-drop interactions)"],"output_types":["workflow definition (JSON/YAML)","executable agent graph","test results from playground"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_4","uri":"capability://automation.workflow.playground.with.server.sent.events.streaming.for.agent.testing","name":"playground with server-sent events streaming for agent testing","description":"Provides an interactive testing environment in the Web Application where users can execute workflows and observe agent behavior in real-time using Server-Sent Events (SSE) for streaming responses. Enables step-by-step execution inspection, intermediate output viewing, and error diagnosis without deploying to production, with support for multiple test runs and result comparison.","intents":["I want to test my agent workflow before deploying it and see what each agent is doing","I need to debug why an agent is producing unexpected output or failing","I want to iterate on my workflow design and see results immediately"],"best_for":["workflow designers iterating on agent behavior","developers debugging multi-agent systems","teams validating workflow logic before production deployment"],"limitations":["Playground execution may not perfectly replicate production environment (different model versions, latency, rate limits)","SSE streaming adds complexity for handling connection drops or long-running agents","No persistent test history or result archival mentioned; test results may be lost on session end","Limited to Web Application; no playground in Desktop Application or CLI"],"requires":["Web Application deployment","Workflow definition in project","Browser with SSE support","LLM API credentials configured"],"input_types":["workflow definition","test input parameters","agent configuration"],"output_types":["streaming agent responses (via SSE)","execution logs","error messages","intermediate outputs"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_5","uri":"capability://memory.knowledge.rag.system.with.qdrant.vector.database.integration","name":"rag system with qdrant vector database integration","description":"Implements Retrieval-Augmented Generation using Qdrant as the vector store backend (configured in docker-compose.yml), enabling semantic search over knowledge graph and documents. Converts Markdown nodes and ingested documents into embeddings, stores them in Qdrant, and retrieves relevant context for LLM prompts based on semantic similarity rather than keyword matching.","intents":["I want to search my knowledge graph semantically rather than by keywords","I need the AI to find relevant context from my work history even when I don't know the exact terms used","I want to augment LLM responses with documents and knowledge that are semantically related to the query"],"best_for":["teams deploying Web Application with Docker Compose infrastructure","developers building semantic search over large document collections","organizations with privacy requirements for local vector storage"],"limitations":["Qdrant deployment adds operational complexity and infrastructure cost","Embedding model not specified — unclear if using OpenAI embeddings (cloud-dependent) or local model","Vector database scaling not documented; performance with millions of embeddings unknown","No hybrid search (semantic + keyword) mentioned; may miss relevant results with pure semantic approach"],"requires":["Docker Compose or Kubernetes for Qdrant deployment","Embedding API credentials (if using cloud embeddings)","Network connectivity between Web Application and Qdrant","Sufficient disk space for vector database"],"input_types":["markdown documents","knowledge graph nodes","natural language queries","embedding vectors"],"output_types":["ranked document/node results","similarity scores","retrieved context for LLM"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_6","uri":"capability://tool.use.integration.rest.api.for.programmatic.workflow.execution.and.webhook.integration","name":"rest api for programmatic workflow execution and webhook integration","description":"Exposes REST endpoints for triggering agent workflows, querying results, and receiving webhook callbacks from external systems. Enables integration with third-party tools and automation platforms, allowing workflows to be triggered by external events (e.g., Slack messages, form submissions) and results to be pushed to downstream systems without manual intervention.","intents":["I want to trigger a Rowboat workflow from my Slack bot or other external application","I need to integrate Rowboat agents into my existing automation stack via REST API","I want to receive webhook notifications when a workflow completes so I can trigger downstream actions"],"best_for":["teams integrating Rowboat into existing tool ecosystems","developers building custom automation platforms on top of Rowboat","organizations using Zapier, Make, or similar no-code automation tools"],"limitations":["API authentication mechanism not documented — unclear if using API keys, OAuth, or JWT","Rate limiting and quota management not specified; potential for abuse or unexpected throttling","Webhook retry logic and failure handling not documented","API response format and error codes not detailed; integration testing may be difficult"],"requires":["Web Application deployment with network accessibility","API credentials or authentication token","Knowledge of REST API endpoints and request/response formats","Network connectivity from external systems to Rowboat API"],"input_types":["HTTP POST/GET requests","JSON request bodies with workflow parameters","webhook event payloads"],"output_types":["JSON responses with execution status","workflow results","webhook POST requests to external URLs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_7","uri":"capability://tool.use.integration.mcp.server.integration.for.standardized.tool.connection","name":"mcp server integration for standardized tool connection","description":"Supports Model Context Protocol (MCP) servers as a standardized way to connect external tools and data sources to agents. Agents can discover and invoke MCP-compatible tools through a unified interface, enabling integration with any tool that implements the MCP specification without custom adapter code.","intents":["I want to connect my agents to external tools using a standard protocol instead of writing custom integrations","I need to use tools from the MCP ecosystem (databases, APIs, services) in my agent workflows","I want to make my custom tools available to agents through MCP without proprietary integration code"],"best_for":["developers building extensible agent systems","teams standardizing on MCP for tool integration","organizations with diverse tool ecosystems wanting unified agent access"],"limitations":["MCP server discovery and lifecycle management not documented","Error handling for MCP server failures or timeouts not specified","Performance overhead of MCP protocol abstraction not quantified","Limited to MCP-compatible tools; legacy tools require adapter implementation"],"requires":["MCP server implementation for desired tool","MCP client library in Rowboat (TypeScript/Node.js)","Network connectivity to MCP server","MCP server configuration in Rowboat project"],"input_types":["MCP server definitions","tool schemas from MCP servers","agent requests for tool invocation"],"output_types":["tool results from MCP servers","error responses"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_8","uri":"capability://tool.use.integration.composio.integration.for.pre.built.action.library","name":"composio integration for pre-built action library","description":"Integrates with Composio to provide agents with access to pre-built actions for common SaaS tools (email, calendar, CRM, etc.). Agents can invoke Composio actions without custom tool implementation, reducing development time for common workflows like sending emails, creating calendar events, or updating CRM records.","intents":["I want my agents to send emails, create calendar events, or update CRM records without building custom integrations","I need quick access to common SaaS tool actions for agent workflows","I want to reduce development time by using pre-built Composio actions instead of custom tool code"],"best_for":["teams building workflows that interact with common SaaS tools","developers wanting rapid prototyping of agent workflows","organizations using Composio for other automation needs"],"limitations":["Limited to Composio's pre-built action library; custom or niche tools not supported","Composio API rate limits and quotas apply; potential bottleneck for high-volume workflows","Authentication and credential management for Composio actions not documented","Action availability and updates depend on Composio maintenance"],"requires":["Composio account and API credentials","Composio integration configured in Rowboat project","Credentials for target SaaS tools (email, calendar, CRM, etc.)"],"input_types":["Composio action definitions","action parameters (email recipient, calendar event details, etc.)","SaaS tool credentials"],"output_types":["action execution results","confirmation of email sent, event created, etc."],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rowboatlabs--rowboat__cap_9","uri":"capability://automation.workflow.cli.tool.for.headless.agent.execution.and.workflow.automation","name":"cli tool for headless agent execution and workflow automation","description":"Provides a command-line interface (rowboatx) for running agents in automated environments without GUI, enabling integration with CI/CD pipelines, cron jobs, and server-side automation. Supports workflow execution, model configuration, and result output in formats suitable for scripting and automation.","intents":["I want to run Rowboat agents in a CI/CD pipeline or cron job without a GUI","I need to automate recurring tasks like daily reports or weekly summaries using Rowboat agents","I want to integrate Rowboat into my existing command-line automation stack"],"best_for":["DevOps engineers integrating agents into CI/CD pipelines","system administrators automating recurring tasks","developers building server-side agent applications"],"limitations":["CLI interface and command structure not documented; unclear how to specify workflows and parameters","Output format options not specified; may require custom parsing for integration","No built-in scheduling; requires external cron or scheduler","Error handling and exit codes not documented; difficult to integrate with automation tools"],"requires":["Node.js 18+ (TypeScript/JavaScript runtime)","Rowboat CLI package installed globally or locally","Workflow configuration files accessible to CLI","LLM API credentials available as environment variables or config"],"input_types":["command-line arguments","workflow configuration files","environment variables for credentials"],"output_types":["stdout/stderr output","exit codes","JSON or text results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":48,"verified":false,"data_access_risk":"high","permissions":["Desktop Application or Web Application installation","OAuth credentials for at least one supported data source","Local file system with write access to ~/.rowboat/ directory","Markdown editor or Obsidian for vault inspection","OAuth credentials configured for each data source","Network connectivity for external API calls","For Web Application: Docker Compose or equivalent deployment infrastructure","For Desktop Application: application running in foreground or background process","Text editor or IDE for editing Markdown files","Git or version control system for tracking changes"],"failure_modes":["Requires manual OAuth setup for each data source (Gmail, Google Calendar, etc.)","Graph construction latency depends on volume of ingested documents; no incremental indexing specified","Limited to supported integrations (Gmail, Google Calendar, Fireflies, Granola) — custom data sources require custom sync service implementation","Sync frequency and scheduling logic not fully documented — unclear if event-driven or polling-based","OAuth token refresh and expiration handling not specified; potential for stale credentials","No built-in conflict resolution for duplicate or contradictory data from multiple sources","Desktop Application sync runs only when app is active; no true background daemon on macOS/Windows","Markdown format may not capture all workflow complexity; visual editor abstractions may not round-trip perfectly","Parsing and validation of Markdown configurations not documented; potential for syntax errors","No schema validation or IDE support for Markdown workflow files","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.689466841934982,"quality":0.35,"ecosystem":0.6000000000000001,"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":"2026-05-24T12:16:22.063Z","last_scraped_at":"2026-05-03T13:58:21.998Z","last_commit":"2026-05-01T17:33:18Z"},"community":{"stars":13231,"forks":1312,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=rowboatlabs--rowboat","compare_url":"https://unfragile.ai/compare?artifact=rowboatlabs--rowboat"}},"signature":"sHc8FnFnfc4wNGRLC9YaWVxH+GUy3n4Oy2GMYhzxkYNwrf07F94ILbxBLfvhIkkclHAwC6gT5MfVmSXmceymDA==","signedAt":"2026-06-21T21:28:19.454Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/rowboatlabs--rowboat","artifact":"https://unfragile.ai/rowboatlabs--rowboat","verify":"https://unfragile.ai/api/v1/verify?slug=rowboatlabs--rowboat","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"}}