{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-simstudioai--sim","slug":"simstudioai--sim","name":"sim","type":"agent","url":"https://www.sim.ai","page_url":"https://unfragile.ai/simstudioai--sim","categories":["ai-agents","deployment-infra"],"tags":["agent-workflow","agentic-workflow","agents","ai","aiagents","anthropic","artificial-intelligence","automation","chatbot","deepseek","gemini","low-code","nextjs","no-code","openai","rag","react","typescript"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-simstudioai--sim__cap_0","uri":"capability://automation.workflow.visual.workflow.canvas.with.collaborative.real.time.editing","name":"visual workflow canvas with collaborative real-time editing","description":"Provides a drag-and-drop canvas for building agent workflows with real-time multi-user collaboration using operational transformation or CRDT-based state synchronization. The canvas supports block placement, connection routing, and automatic layout algorithms that prevent node overlap while maintaining visual hierarchy. Changes are persisted to a database and broadcast to all connected clients via WebSocket, with conflict resolution and undo/redo stacks maintained per user session.","intents":["I want to visually design complex agent workflows without writing code","I need my team to collaborate on the same workflow in real-time without overwriting each other's changes","I want to quickly iterate on agent logic by dragging blocks and connecting them"],"best_for":["non-technical founders and business analysts building AI workflows","teams of 2-10 people collaborating on shared agent definitions","rapid prototyping teams that need visual feedback on workflow structure"],"limitations":["Canvas performance degrades with >500 blocks in a single workflow due to DOM rendering overhead","Real-time sync has eventual consistency model — rapid concurrent edits may briefly show stale state","No offline-first support — requires active WebSocket connection to persist changes"],"requires":["Modern browser with WebSocket support (Chrome 43+, Firefox 11+, Safari 7+)","Active workspace session with valid authentication token","Database connection for state persistence (PostgreSQL or compatible)"],"input_types":["block definitions (JSON schema)","tool/connector metadata","user gestures (drag, click, keyboard shortcuts)"],"output_types":["workflow definition (JSON/YAML)","execution plan (DAG representation)","visual layout state (canvas coordinates, zoom level)"],"categories":["automation-workflow","ui-builder"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_1","uri":"capability://tool.use.integration.multi.provider.llm.abstraction.with.unified.function.calling.interface","name":"multi-provider llm abstraction with unified function-calling interface","description":"Abstracts OpenAI, Anthropic, DeepSeek, Gemini, and other LLM providers through a unified provider system that normalizes model capabilities, streaming responses, and tool/function calling schemas. The system maintains a model registry with metadata about context windows, cost per token, and supported features, then translates tool definitions into provider-specific formats (OpenAI function calling vs Anthropic tool_use vs native MCP). Streaming responses are buffered and re-emitted in a normalized format, with automatic fallback to non-streaming if provider doesn't support it.","intents":["I want to swap LLM providers without rewriting agent logic","I need to compare costs and latency across different models for the same task","I want agents to use the cheapest available model that meets quality thresholds"],"best_for":["teams building cost-sensitive production agents that need provider flexibility","developers experimenting with multiple LLM providers during prototyping","enterprises with multi-cloud or vendor-lock-in concerns"],"limitations":["Provider-specific features (vision, structured output, extended thinking) require custom handling per provider — not all features are normalized","Streaming latency adds 50-150ms due to response normalization and buffering","Tool calling schemas don't perfectly map between providers — some edge cases require provider-specific workarounds"],"requires":["API keys for at least one supported LLM provider (OpenAI, Anthropic, DeepSeek, Gemini, etc.)","Node.js 18+ for SDK usage or HTTP client for API calls","Knowledge of provider-specific rate limits and quota management"],"input_types":["provider name (string)","model identifier (string)","tool/function definitions (JSON schema)","system prompt and messages (text)"],"output_types":["normalized LLM response (text, structured JSON)","tool call requests with arguments","usage metrics (tokens, cost, latency)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_10","uri":"capability://tool.use.integration.oauth.provider.integration.with.automatic.credential.refresh","name":"oauth provider integration with automatic credential refresh","description":"Integrates OAuth 2.0 flows for external services (GitHub, Google, Slack, etc.) with automatic token refresh and credential caching. When a workflow needs to access a user's GitHub account, for example, the system initiates an OAuth flow, stores the refresh token securely, and automatically refreshes the access token before expiration. The system supports multiple OAuth providers with provider-specific scopes and permissions, and tracks which users have authorized which services.","intents":["I want my agents to access user data (GitHub repos, Google Drive files, Slack messages) without storing passwords","I need to handle OAuth token refresh automatically without manual intervention","I want to track which users have authorized which services for compliance"],"best_for":["workflows that need to access user accounts (GitHub, Google, Slack, etc.)","teams with security requirements that forbid storing user passwords","applications requiring OAuth compliance and audit trails"],"limitations":["OAuth token refresh requires background job to run periodically — tokens may expire if jobs fail","Different OAuth providers have different scopes and permission models — no unified permission system","User revocation of OAuth access is not automatically detected — workflows may fail with stale tokens"],"requires":["OAuth application credentials (client ID, client secret) for each provider","Redirect URI configured in OAuth provider settings","Background job system for token refresh","Secure storage for refresh tokens"],"input_types":["OAuth provider name (string)","requested scopes (array of strings)","optional: user ID or account identifier"],"output_types":["OAuth authorization URL (for user to click)","access token (for API calls)","refresh token (stored securely)","token expiration time"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_11","uri":"capability://automation.workflow.scheduled.workflow.execution.with.cron.based.triggers","name":"scheduled workflow execution with cron-based triggers","description":"Allows workflows to be scheduled for execution at specific times or intervals using cron expressions (e.g., '0 9 * * MON' for 9 AM every Monday). The scheduler maintains a job queue and executes workflows at the specified times, with support for timezone-aware scheduling. Failed executions can be configured to retry with exponential backoff, and execution history is tracked with timestamps and results.","intents":["I want to run a workflow every day at 9 AM to generate reports","I need to schedule a workflow to run on the first day of each month","I want failed scheduled executions to retry automatically"],"best_for":["recurring tasks like daily reports, weekly syncs, or monthly billing","batch processing workflows that should run at off-peak times","teams with time-sensitive workflows that need reliable scheduling"],"limitations":["Cron scheduling is timezone-aware but requires explicit timezone configuration — easy to get wrong","Scheduler is not distributed — if the scheduler process crashes, scheduled jobs won't run until it restarts","No built-in deduplication for overlapping executions — if a workflow takes longer than the schedule interval, multiple instances may run concurrently"],"requires":["Workflow definition","Cron expression (e.g., '0 9 * * *')","Timezone (e.g., 'America/New_York')","Optional: retry policy (max retries, backoff strategy)"],"input_types":["cron expression (string)","timezone (string)","retry configuration (object)"],"output_types":["scheduled execution ID","next execution time","execution history (timestamps, results, errors)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_12","uri":"capability://automation.workflow.workspace.and.organization.management.with.role.based.access.control","name":"workspace and organization management with role-based access control","description":"Manages multi-tenant workspaces where teams can collaborate on workflows with role-based access control (RBAC). Roles define permissions for actions like creating workflows, deploying to production, managing credentials, and inviting users. The system supports organization-level settings (branding, SSO configuration, billing) and workspace-level settings (members, roles, integrations). User invitations are sent via email with expiring links, and access can be revoked instantly.","intents":["I want to invite my team to collaborate on workflows with different permission levels","I need to restrict production deployments to senior engineers only","I want to organize workflows into separate workspaces for different projects"],"best_for":["teams of 2+ people collaborating on shared workflows","enterprises with strict access control and compliance requirements","organizations with multiple projects or departments"],"limitations":["RBAC is role-based, not attribute-based — complex permission patterns require many roles","Workspace isolation is logical, not physical — data is stored in the same database","User invitations expire after a fixed time — no way to resend expired invitations automatically"],"requires":["Organization account with at least one workspace","User email addresses for invitations","Role definitions (admin, editor, viewer, etc.)"],"input_types":["user email (string)","role name (string)","workspace ID (string)"],"output_types":["invitation link (with expiration time)","user ID (after acceptance)","role assignment confirmation"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_13","uri":"capability://automation.workflow.import.and.export.workflows.with.format.conversion","name":"import and export workflows with format conversion","description":"Allows workflows to be exported in multiple formats (JSON, YAML, OpenAPI) and imported from external sources. The export system serializes the workflow definition, block configurations, and metadata into a portable format. The import system parses the format, validates the workflow definition, and creates a new workflow or updates an existing one. Format conversion enables workflows to be shared across different platforms or integrated with external tools.","intents":["I want to export my workflow to share with a colleague or backup","I want to import a workflow from a GitHub repository or template library","I want to convert my workflow to OpenAPI format for API documentation"],"best_for":["teams sharing workflows across projects or organizations","developers integrating Sim workflows with external tools","users backing up workflows for disaster recovery"],"limitations":["Format conversion may lose provider-specific features (e.g., OpenAI-specific tool calling) when converting to generic formats","Import validation is strict — invalid workflows are rejected without partial import","No built-in version control — exported workflows don't include version history"],"requires":["Workflow definition in supported format (JSON, YAML, OpenAPI)","Valid block definitions and tool references"],"input_types":["workflow file (JSON, YAML, OpenAPI)","export format (JSON, YAML, OpenAPI)"],"output_types":["exported workflow file (in requested format)","imported workflow ID","validation errors (if import fails)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_14","uri":"capability://tool.use.integration.a2a.agent.to.agent.protocol.for.inter.agent.communication","name":"a2a (agent-to-agent) protocol for inter-agent communication","description":"Enables agents to communicate with each other via a standardized protocol, allowing one agent to invoke another agent as a tool or service. The A2A protocol defines message formats, request/response handling, and error propagation between agents. Agents can be discovered via a registry, and communication can be authenticated and rate-limited. This enables complex multi-agent systems where agents specialize in different tasks and coordinate their work.","intents":["I want one agent to delegate work to another specialized agent","I need to build a multi-agent system where agents collaborate on complex tasks","I want to reuse agents across multiple workflows without duplicating logic"],"best_for":["complex systems requiring multiple specialized agents","teams building agent networks with clear separation of concerns","workflows that need to coordinate work across multiple agents"],"limitations":["A2A communication adds latency (100-500ms per agent call) compared to direct function calls","Error handling across agent boundaries is complex — failures in one agent can cascade","No built-in load balancing — high-traffic agents may become bottlenecks"],"requires":["Agent registry for discovery","Authentication credentials for inter-agent communication","Network connectivity between agents","Standardized message format (JSON or similar)"],"input_types":["target agent ID (string)","request message (JSON)","optional: authentication token"],"output_types":["response message (JSON)","status code (success, error, timeout)","execution metadata (latency, tokens used, etc.)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_2","uri":"capability://tool.use.integration.block.based.tool.registry.with.dynamic.schema.enrichment","name":"block-based tool registry with dynamic schema enrichment","description":"Implements a hierarchical block registry system where each block type (Agent, Tool, Connector, Loop, Conditional) has a handler that defines its execution logic, input/output schema, and configuration UI. Tools are registered with parameter schemas that are dynamically enriched with metadata (descriptions, validation rules, examples) and can be protected with permissions to restrict who can execute them. The system supports custom tool creation via MCP (Model Context Protocol) integration, allowing external tools to be registered without modifying core code.","intents":["I want to create reusable tool blocks that can be shared across multiple workflows","I need to restrict certain tools to specific team members or roles","I want to integrate external tools (APIs, scripts) without writing custom code"],"best_for":["teams building shared tool libraries across multiple agents","enterprises with compliance requirements for tool access control","developers extending Sim with custom tools via MCP"],"limitations":["Schema enrichment requires manual metadata definition — no automatic introspection from arbitrary APIs","Permission system is role-based, not attribute-based — complex access patterns require multiple roles","MCP tool integration requires MCP server to be running and accessible — adds deployment complexity"],"requires":["Tool definition with JSON schema for parameters and outputs","Handler function (TypeScript/JavaScript) that executes the tool","Optional: MCP server for external tool integration","Optional: Role definitions for permission-based access control"],"input_types":["tool schema (JSON schema)","handler code (TypeScript function)","MCP tool definition (JSON)"],"output_types":["registered tool block (executable in workflows)","tool metadata (schema, permissions, documentation)","execution result (any JSON-serializable type)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_3","uri":"capability://automation.workflow.workflow.execution.engine.with.loop.parallel.and.nested.execution.support","name":"workflow execution engine with loop, parallel, and nested execution support","description":"Executes workflows as directed acyclic graphs (DAGs) with support for loops (for-each, while), parallel branches, and nested workflow calls. The engine maintains execution state (variables, loop counters, branch results) across all blocks, with checkpointing at each block boundary to enable run-from-block debugging. Execution can be paused at human-in-the-loop blocks, resumed from that point, or stepped through one block at a time. Background execution is handled via a job queue (likely Bull or similar) that persists execution state and allows long-running workflows to survive process restarts.","intents":["I want to run complex workflows with loops and parallel branches without managing state manually","I need to pause a workflow for human approval and resume it without losing context","I want to debug a workflow by stepping through it block-by-block without re-running the entire thing"],"best_for":["teams building multi-step agent workflows with conditional logic and loops","workflows requiring human approval or input at specific points","long-running background jobs that need to survive server restarts"],"limitations":["Execution state is stored in memory during execution — very large state objects (>100MB) may cause memory issues","Nested workflows add ~50-100ms latency per nesting level due to context switching","Loop execution is sequential by default — parallel loop iterations require explicit parallel block configuration","No built-in timeout enforcement — long-running blocks can hang indefinitely without external monitoring"],"requires":["Workflow definition with valid block connections (no cycles except in explicit loop blocks)","Database for state persistence (PostgreSQL or compatible)","Job queue system (Redis for Bull, or compatible message broker)","Execution context with variable bindings and secrets"],"input_types":["workflow definition (JSON/YAML DAG)","execution parameters (variables, secrets)","trigger data (webhook payload, scheduled event, etc.)"],"output_types":["execution result (final output from last block)","execution log (block-by-block trace with timestamps)","execution state snapshot (for resumption)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_4","uri":"capability://memory.knowledge.knowledge.base.with.embeddings.and.rag.powered.context.retrieval","name":"knowledge base with embeddings and rag-powered context retrieval","description":"Provides a knowledge base system where documents can be uploaded, chunked, embedded using a configurable embedding model, and stored in a vector database. During workflow execution, agents can retrieve relevant documents via semantic search (cosine similarity on embeddings) and inject them into the LLM context. The system supports multiple embedding providers (OpenAI, Anthropic, local models) and vector stores (likely Pinecone, Weaviate, or PostgreSQL pgvector). Retrieved documents are ranked by relevance score and can be filtered by metadata (source, date, tags).","intents":["I want my agents to answer questions based on proprietary documents without fine-tuning","I need to keep agent knowledge up-to-date by uploading new documents without redeploying","I want to control which documents agents can access based on user permissions"],"best_for":["customer support agents that need to reference product documentation","research agents that need to synthesize information from multiple sources","teams with frequently-updated knowledge bases (policies, FAQs, etc.)"],"limitations":["Embedding quality depends on document chunking strategy — poor chunking leads to irrelevant retrievals","Vector search has no built-in semantic understanding of negation — 'not X' may retrieve documents about X","Retrieval latency is 100-500ms depending on vector database size and query complexity","No built-in deduplication — duplicate documents may be indexed separately, wasting storage"],"requires":["Documents in supported formats (PDF, TXT, DOCX, Markdown)","Embedding model API key (OpenAI, Anthropic, or local model endpoint)","Vector database (Pinecone, Weaviate, PostgreSQL with pgvector, etc.)","Optional: Document metadata schema for filtering"],"input_types":["documents (PDF, TXT, DOCX, Markdown)","query text (natural language search)","metadata filters (source, date range, tags)"],"output_types":["ranked list of relevant documents with similarity scores","document chunks with source references","formatted context string for LLM injection"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_5","uri":"capability://automation.workflow.webhook.based.workflow.triggering.with.authentication.and.deduplication","name":"webhook-based workflow triggering with authentication and deduplication","description":"Allows workflows to be triggered via HTTP webhooks with configurable authentication (API key, OAuth, HMAC signature verification). The system includes webhook deduplication logic that prevents duplicate executions from retried webhook deliveries (using idempotency keys or request hashing). Webhook payloads are parsed, validated against a schema, and injected into the workflow as initial variables. The system supports provider-specific webhook subscriptions (e.g., GitHub push events, Stripe charges) with automatic payload transformation.","intents":["I want to trigger agents when external events occur (GitHub push, Stripe charge, etc.)","I need to ensure webhook retries don't cause duplicate workflow executions","I want to validate incoming webhooks to prevent unauthorized trigger attempts"],"best_for":["event-driven workflows triggered by external services (GitHub, Stripe, Slack, etc.)","teams building integrations that need to respond to real-time events","production systems where duplicate executions would cause data corruption"],"limitations":["Webhook deduplication requires idempotency key or request hash — some providers don't include these","Payload transformation for provider-specific webhooks requires custom handlers per provider","Webhook delivery is not guaranteed — relies on provider retry logic, which varies by service","No built-in rate limiting on webhook endpoints — high-volume webhooks may overwhelm the system"],"requires":["Public webhook URL (HTTPS required for security)","Authentication method (API key, OAuth, HMAC signature, etc.)","Payload schema definition (JSON schema)","Optional: Provider-specific webhook subscription configuration"],"input_types":["HTTP POST request with JSON payload","authentication credentials (header, signature, etc.)","idempotency key or request hash (for deduplication)"],"output_types":["workflow execution ID","HTTP response (200 OK or error)","execution result (async via webhook callback or polling)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_6","uri":"capability://text.generation.language.copilot.ai.assistant.with.context.aware.workflow.suggestions","name":"copilot ai assistant with context-aware workflow suggestions","description":"Provides an in-app AI assistant that understands the current workflow context (blocks, connections, variables) and suggests next steps, tool recommendations, or workflow optimizations. The Copilot uses the workflow definition as context, maintains a message history with checkpoints for stream resumption, and can execute tools (like searching the block registry or documentation) to provide informed suggestions. It supports multiple modes (chat, command palette, inline suggestions) and can be invoked via keyboard shortcuts or UI buttons.","intents":["I want AI-powered suggestions for what block to add next based on my workflow","I need help debugging a workflow by asking the Copilot what went wrong","I want to search for tools or blocks without leaving the editor"],"best_for":["non-technical users building workflows who need guidance on best practices","developers iterating quickly and wanting AI-powered suggestions","teams onboarding new members who need help learning the platform"],"limitations":["Copilot suggestions are based on workflow context only — no access to execution history or metrics","Stream resumption requires checkpoint management — long conversations may lose context if checkpoints aren't saved","Copilot tools are limited to block registry search and documentation — can't execute arbitrary code"],"requires":["Active workflow in the editor","LLM provider configured (OpenAI, Anthropic, etc.)","Message history storage for conversation context"],"input_types":["natural language query (text)","workflow context (current blocks, connections, variables)","execution logs (optional, for debugging mode)"],"output_types":["natural language response (text)","suggested blocks or connections","links to documentation or examples"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_7","uri":"capability://automation.workflow.deployment.and.versioning.system.with.environment.specific.configuration","name":"deployment and versioning system with environment-specific configuration","description":"Manages workflow deployment across multiple environments (dev, staging, production) with version control, rollback capability, and environment-specific variable overrides. Each deployment creates a snapshot of the workflow definition and configuration, which can be promoted through environments or rolled back to a previous version. The system tracks deployment history with timestamps and user attribution, and supports blue-green deployments where new versions run in parallel before traffic is switched.","intents":["I want to test workflow changes in staging before deploying to production","I need to quickly rollback a broken workflow to the previous version","I want different API keys and configurations for dev vs production environments"],"best_for":["production teams deploying agents to multiple environments","teams with strict change management requirements","workflows with external dependencies that need environment-specific configuration"],"limitations":["Blue-green deployments require running two versions in parallel — doubles resource usage during transition","Rollback is instant but doesn't undo side effects (database changes, API calls) from the broken version","Environment-specific variables are stored separately — easy to forget to update all environments"],"requires":["Workflow definition with version control enabled","Environment definitions (dev, staging, production, etc.)","Environment-specific configuration (API keys, endpoints, etc.)","Deployment permissions (who can deploy to which environments)"],"input_types":["workflow definition (JSON/YAML)","environment name (string)","environment-specific variables (key-value pairs)"],"output_types":["deployment ID and timestamp","deployment status (in-progress, succeeded, failed)","rollback confirmation"],"categories":["automation-workflow","deployment-infra"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_8","uri":"capability://automation.workflow.execution.logging.and.terminal.with.real.time.streaming.output","name":"execution logging and terminal with real-time streaming output","description":"Captures detailed execution logs for each workflow run, including block-by-block execution trace, variable state at each step, tool call arguments and results, and LLM prompts/responses. Logs are streamed in real-time to the UI via WebSocket, allowing users to watch execution as it happens. The terminal view shows formatted output with syntax highlighting for code, JSON, and logs, and supports filtering/searching logs by block name, timestamp, or log level.","intents":["I want to see exactly what my agent is doing at each step during execution","I need to debug why a tool call failed by inspecting the arguments and response","I want to monitor long-running workflows in real-time without polling"],"best_for":["developers debugging agent behavior and tool interactions","teams monitoring production workflows for errors or unexpected behavior","users learning how agents work by observing execution traces"],"limitations":["Real-time streaming adds 50-100ms latency per log entry due to WebSocket overhead","Detailed logging increases storage requirements — long-running workflows may generate gigabytes of logs","Log filtering is client-side only — searching large logs is slow without server-side indexing"],"requires":["Active workflow execution","WebSocket connection for real-time streaming","Log storage (database or file system)"],"input_types":["execution events (block start/end, tool call, variable assignment)","LLM prompts and responses","tool call arguments and results"],"output_types":["formatted execution log (text with syntax highlighting)","structured log entries (JSON)","filtered/searched log results"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-simstudioai--sim__cap_9","uri":"capability://safety.moderation.credential.and.api.key.management.with.byok.bring.your.own.key.support","name":"credential and api key management with byok (bring your own key) support","description":"Manages API keys and credentials for external services (LLM providers, tools, connectors) with support for both platform-managed keys and user-provided keys (BYOK). Keys are encrypted at rest and in transit, with role-based access control to restrict which users/workflows can access which credentials. The system supports credential sets that group related keys (e.g., all Stripe credentials) and fan-out to multiple workflows. Credentials can be rotated without updating workflows, and usage is tracked for audit purposes.","intents":["I want to use my own API keys instead of relying on platform-managed keys","I need to rotate API keys without updating all my workflows","I want to restrict which team members can access production API keys"],"best_for":["enterprises with strict security requirements and key rotation policies","teams using multiple external services with different credential management needs","organizations requiring audit trails for API key access"],"limitations":["BYOK requires users to manage their own key rotation — easy to forget and leave expired keys","Credential fan-out to multiple workflows makes it hard to track which workflows use which keys","No built-in key expiration warnings — expired keys will cause workflow failures without notice"],"requires":["API keys for external services (LLM providers, tools, connectors, etc.)","Encryption key for at-rest encryption (managed by platform or user-provided)","Role definitions for access control"],"input_types":["API key (string)","credential name and type (string)","optional: expiration date, rotation policy"],"output_types":["credential ID (for reference in workflows)","credential metadata (name, type, last rotated, expiration)","access audit log"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":55,"verified":false,"data_access_risk":"high","permissions":["Modern browser with WebSocket support (Chrome 43+, Firefox 11+, Safari 7+)","Active workspace session with valid authentication token","Database connection for state persistence (PostgreSQL or compatible)","API keys for at least one supported LLM provider (OpenAI, Anthropic, DeepSeek, Gemini, etc.)","Node.js 18+ for SDK usage or HTTP client for API calls","Knowledge of provider-specific rate limits and quota management","OAuth application credentials (client ID, client secret) for each provider","Redirect URI configured in OAuth provider settings","Background job system for token refresh","Secure storage for refresh tokens"],"failure_modes":["Canvas performance degrades with >500 blocks in a single workflow due to DOM rendering overhead","Real-time sync has eventual consistency model — rapid concurrent edits may briefly show stale state","No offline-first support — requires active WebSocket connection to persist changes","Provider-specific features (vision, structured output, extended thinking) require custom handling per provider — not all features are normalized","Streaming latency adds 50-150ms due to response normalization and buffering","Tool calling schemas don't perfectly map between providers — some edge cases require provider-specific workarounds","OAuth token refresh requires background job to run periodically — tokens may expire if jobs fail","Different OAuth providers have different scopes and permission models — no unified permission system","User revocation of OAuth access is not automatically detected — workflows may fail with stale tokens","Cron scheduling is timezone-aware but requires explicit timezone configuration — easy to get wrong","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7759070432829143,"quality":0.5,"ecosystem":0.7000000000000001,"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":"2026-05-03T13:58:26.976Z","last_commit":"2026-05-03T10:41:00Z"},"community":{"stars":28320,"forks":3575,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=simstudioai--sim","compare_url":"https://unfragile.ai/compare?artifact=simstudioai--sim"}},"signature":"ifIGK91IdvownxYrXM7yOm8krjO0TE5tsoYC8fFSAmjUN7BPmG0K/SyIK95W4OVmHUsgPu/OZploTqBkJVwNAQ==","signedAt":"2026-06-21T14:45:30.450Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/simstudioai--sim","artifact":"https://unfragile.ai/simstudioai--sim","verify":"https://unfragile.ai/api/v1/verify?slug=simstudioai--sim","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"}}