{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"betterchatgpt","slug":"betterchatgpt","name":"BetterChatGPT","type":"repo","url":"https://github.com/ztjhz/BetterChatGPT","page_url":"https://unfragile.ai/betterchatgpt","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"betterchatgpt__cap_0","uri":"capability://memory.knowledge.zustand.based.client.side.conversation.state.management.with.real.time.streaming","name":"zustand-based client-side conversation state management with real-time streaming","description":"Manages chat conversations, messages, and model configurations using Zustand store with unidirectional data flow. When users send messages, the system atomically adds messages to store, creates placeholder assistant responses, streams API responses incrementally, and updates token/cost calculations in real-time without server persistence. Uses React hooks (useAddChat, useInitialiseNewChat) to trigger state mutations and component re-renders on every token received from the OpenAI/Azure API.","intents":["I need to maintain conversation state across component re-renders without prop drilling","I want to track token usage and costs as messages stream in real-time","I need to support undo/redo and message editing without losing conversation context"],"best_for":["frontend developers building LLM chat UIs with minimal backend dependencies","teams wanting client-side-only chat applications with no server state management"],"limitations":["All state stored in browser memory and localStorage — no cloud persistence by default","Zustand store is not optimized for very large conversation histories (1000+ messages may cause performance degradation)","No built-in conflict resolution for concurrent edits across multiple browser tabs"],"requires":["React 16.8+ (hooks support)","Zustand 3.x or later","Browser with localStorage support"],"input_types":["user messages (text)","system prompts (text)","model configuration objects"],"output_types":["chat state object","message arrays","token/cost metrics"],"categories":["memory-knowledge","state-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_1","uri":"capability://tool.use.integration.openai.and.azure.openai.api.integration.with.configurable.endpoints.and.proxy.support","name":"openai and azure openai api integration with configurable endpoints and proxy support","description":"Abstracts API communication through a service layer that supports both OpenAI and Azure OpenAI endpoints, with configurable base URLs, API keys, and optional HTTP proxy for regional restrictions. Implements streaming response handling that incrementally parses server-sent events (SSE) and pushes tokens to the Zustand store. Supports custom model parameters (temperature, top_p, max_tokens) per conversation and handles authentication via bearer tokens or Azure-specific headers.","intents":["I want to use ChatGPT API with my own API key without relying on OpenAI's official UI","I need to route requests through a proxy to bypass regional API restrictions","I want to switch between OpenAI and Azure OpenAI endpoints without code changes"],"best_for":["developers in regions with API access restrictions","enterprises using Azure OpenAI deployments","teams wanting to avoid OpenAI's official UI limitations"],"limitations":["No built-in retry logic or exponential backoff — failed requests require manual retry","Streaming responses are not buffered — network interruptions mid-stream lose partial responses","Azure OpenAI requires separate API key management; no unified credential system"],"requires":["OpenAI API key OR Azure OpenAI API key","Valid OpenAI model name (gpt-4, gpt-3.5-turbo, etc.) or Azure deployment name","Network access to OpenAI/Azure endpoints (or proxy server if using proxy mode)"],"input_types":["API key (string)","base URL (string)","model name (string)","message array","config object"],"output_types":["streamed text tokens","usage metadata (tokens, cost)"],"categories":["tool-use-integration","api-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_10","uri":"capability://memory.knowledge.prompt.library.with.searchable.templates.and.quick.insertion","name":"prompt library with searchable templates and quick insertion","description":"Maintains a library of pre-written prompt templates that users can search, preview, and insert into the message input field. Prompts are stored as text templates with optional placeholders for dynamic values. Search functionality filters prompts by name and content using client-side string matching. Insertion appends the prompt to the current message input or replaces it entirely based on user preference. Supports user-created custom prompts saved to localStorage.","intents":["I want to reuse effective prompts across multiple conversations without retyping them","I need a library of system prompts for different use cases (coding, writing, analysis)","I want to discover and learn from community-contributed prompts"],"best_for":["prompt engineers building a personal library of effective prompts","teams with standardized prompts for common tasks","users learning prompt engineering best practices"],"limitations":["Prompt library is local to the browser — no cloud sync or sharing between devices","No version control or history for prompt iterations","Search is basic string matching — no semantic search or tagging"],"requires":["Prompt template data structure (name, content, optional placeholders)","localStorage or equivalent for persistence","Search/filter UI component"],"input_types":["prompt template (text)","search query (string)"],"output_types":["filtered prompt list (array)","inserted prompt text"],"categories":["memory-knowledge","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_11","uri":"capability://code.generation.editing.react.component.based.ui.with.modular.chat.interface.architecture","name":"react component-based ui with modular chat interface architecture","description":"Builds the entire UI using React components with clear separation of concerns: ChatContent (message display), ChatInput (message composition), SettingsMenu (configuration), and Navigation (folder/chat selection). Components are organized hierarchically with props-based communication and Zustand store subscriptions for state updates. Uses React hooks (useState, useEffect, useContext) for local component state and side effects. CSS styling uses Tailwind or similar utility-first framework for rapid UI development.","intents":["I want to extend BetterChatGPT with custom components or features","I need to understand the codebase structure to contribute or fork it","I want to customize the UI appearance without modifying core logic"],"best_for":["developers forking BetterChatGPT to add custom features","open-source contributors adding new UI components","teams customizing the UI for internal use"],"limitations":["Component hierarchy is tightly coupled to Zustand store — refactoring state management requires updating many components","No component documentation or Storybook — developers must read source code to understand component APIs","CSS is not modularized — global styles may cause unexpected cascading"],"requires":["React 16.8+ (hooks support)","Node.js 14+ and npm/yarn for development","Understanding of React component patterns and hooks"],"input_types":["props (objects)","Zustand store state"],"output_types":["rendered React components","DOM elements"],"categories":["code-generation-editing","ui-framework"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_12","uri":"capability://automation.workflow.docker.containerization.and.multi.platform.desktop.distribution","name":"docker containerization and multi-platform desktop distribution","description":"Provides Docker Compose configuration for containerized deployment, allowing users to run BetterChatGPT in isolated environments without local Node.js setup. Includes GitHub Actions workflows for automated builds and publishing of desktop applications (likely Electron-based) for macOS, Windows, and Linux. Desktop apps bundle the web UI with a native window frame and system integration (file dialogs, notifications). Deployment is automated via CI/CD pipelines that trigger on releases.","intents":["I want to run BetterChatGPT locally without installing Node.js and dependencies","I need a native desktop application with system integration instead of a web app","I want to deploy BetterChatGPT to a server using Docker"],"best_for":["users preferring native desktop apps over web browsers","teams deploying BetterChatGPT to internal servers via Docker","developers wanting reproducible local development environments"],"limitations":["Desktop apps require platform-specific builds — no universal binary","Docker deployment requires Docker/Docker Compose installation","Desktop app updates require manual download and installation (no auto-update mentioned)"],"requires":["Docker and Docker Compose (for containerized deployment)","macOS 10.13+, Windows 10+, or Linux (for desktop apps)","Electron runtime (bundled in desktop apps)"],"input_types":["Dockerfile configuration","GitHub Actions workflow"],"output_types":["Docker image","desktop application executables (.dmg, .exe, .AppImage)"],"categories":["automation-workflow","deployment"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_13","uri":"capability://automation.workflow.google.drive.integration.for.cloud.backup.and.sync","name":"google drive integration for cloud backup and sync","description":"Integrates with Google Drive API to automatically backup conversations and sync state across devices. Implements OAuth authentication for secure credential handling and periodic sync of chat data to Google Drive. Supports selective sync (backup only, sync only, or bidirectional) and conflict resolution for conversations modified on multiple devices.","intents":["I want to backup my conversations to Google Drive for safety","I need to sync conversations across multiple devices","I want to restore conversations from a cloud backup","I need to manage storage and sync conflicts when using multiple devices"],"best_for":["users who want cloud backup without external storage services","teams using multiple devices who need conversation sync","users concerned about data loss from browser storage"],"limitations":["Google Drive integration requires OAuth setup and user authentication","Sync is not real-time — periodic polling or manual trigger required","Conflict resolution is manual — no automatic merge for conflicting edits","Google Drive storage quota applies — large conversation histories may exceed free tier","Sync is one-way (backup) or bidirectional — no selective file sync","Requires Google account — not available for users without Google services"],"requires":["Google Drive API credentials (OAuth 2.0 client ID)","User Google account with Drive access","Network access to Google Drive API","Periodic sync trigger (timer or manual button)"],"input_types":["ChatInterface objects to backup","Google Drive folder ID for backup location","Sync mode (backup, sync, bidirectional)"],"output_types":["Backed-up conversation files in Google Drive","Synced ChatInterface objects from Google Drive","Conflict resolution UI for manual merge"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_2","uri":"capability://data.processing.analysis.token.counting.and.cost.calculation.with.per.message.granularity","name":"token counting and cost calculation with per-message granularity","description":"Calculates token usage and USD costs for each message using a token counting algorithm (likely based on tiktoken or similar) that runs client-side. Tracks cumulative tokens and costs per conversation and displays them in real-time as responses stream in. Supports multiple model pricing tiers (gpt-4, gpt-3.5-turbo, etc.) with configurable pricing per 1K tokens. Updates cost metrics atomically in the Zustand store whenever a message is added or edited.","intents":["I want to see how much each conversation is costing me in real-time","I need to track token usage to optimize prompt engineering and stay within budgets","I want to compare costs across different models before switching"],"best_for":["developers managing API costs for production LLM applications","researchers experimenting with different models and prompt strategies","teams with limited API budgets who need per-conversation cost visibility"],"limitations":["Token counting is approximate — actual API usage may differ by 1-5% due to tokenizer differences","Pricing data must be manually updated when OpenAI changes model costs","No cost alerts or budget enforcement — purely informational"],"requires":["Client-side token counting library (tiktoken or equivalent)","Model pricing configuration in application constants"],"input_types":["message text (string)","model name (string)","role (user/assistant/system)"],"output_types":["token count (integer)","cost in USD (float)","cumulative metrics (object)"],"categories":["data-processing-analysis","cost-tracking"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_3","uri":"capability://automation.workflow.hierarchical.folder.based.chat.organization.with.color.coding.and.filtering","name":"hierarchical folder-based chat organization with color coding and filtering","description":"Implements a FolderInterface data model that allows users to organize conversations into nested folders with custom color tags. The navigation component renders a tree-like structure with collapsible folders and displays filtered chat lists based on selected folder. Supports drag-and-drop or programmatic assignment of chats to folders, with folder metadata (name, color) persisted in localStorage alongside chat data. Filtering logic runs client-side by matching chat folder IDs against selected folder context.","intents":["I want to organize my 50+ conversations by project or topic without losing them in a flat list","I need to quickly filter conversations by folder to find related chats","I want to color-code folders for visual organization and quick scanning"],"best_for":["power users managing many conversations across different projects","teams sharing a single BetterChatGPT instance who need logical separation","researchers organizing experiments by hypothesis or methodology"],"limitations":["No nested folder hierarchy — folders are flat (one level deep only)","No folder-level access control — all folders visible to all users in shared instances","Folder deletion does not cascade — orphaned chats must be manually reassigned"],"requires":["React component tree with navigation context","localStorage or equivalent persistent storage"],"input_types":["folder name (string)","color code (hex or CSS color)","chat ID (string)"],"output_types":["folder tree structure (nested object)","filtered chat list (array)"],"categories":["automation-workflow","organization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_4","uri":"capability://data.processing.analysis.conversation.import.export.with.multiple.format.support.json.markdown.image","name":"conversation import/export with multiple format support (json, markdown, image)","description":"Provides serialization and deserialization of conversations to/from multiple formats: JSON (full fidelity with all metadata), Markdown (human-readable text), and PNG/image (visual snapshot). Export logic traverses the chat message tree, formats content according to selected format, and triggers browser download. Import logic parses uploaded files, validates schema, and reconstructs ChatInterface and MessageInterface objects in the Zustand store. Supports Google Drive sync for cloud backup of exported conversations.","intents":["I want to back up my conversations locally before they're lost","I need to share a conversation with teammates as a readable document or image","I want to migrate conversations between devices or BetterChatGPT instances"],"best_for":["users wanting local backup without relying on OpenAI's conversation history","teams sharing conversation outputs for review or documentation","researchers archiving experiment logs in multiple formats"],"limitations":["Image export is a static snapshot — no interactivity or re-editing after export","Markdown export loses some metadata (model parameters, exact token counts)","Google Drive sync requires OAuth setup and manual configuration","No batch export — must export conversations one at a time"],"requires":["Browser File API support (for download/upload)","Canvas API support (for image export)","Google Drive API credentials (optional, for Drive sync)"],"input_types":["chat object (JSON)","markdown file (text)","image file (PNG)","JSON file"],"output_types":["JSON file","Markdown file","PNG image","reconstructed chat object"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_5","uri":"capability://text.generation.language.message.level.editing.reordering.and.insertion.with.role.based.composition","name":"message-level editing, reordering, and insertion with role-based composition","description":"Allows users to edit, delete, reorder, or insert messages at any position in a conversation with support for different roles (user, assistant, system). Editing a message triggers a re-render of all downstream messages and optionally re-streams the response from the edited point. Reordering uses array splice operations in the Zustand store. Role-based composition lets users manually craft system prompts or assistant responses for testing. All changes are persisted to localStorage and reflected immediately in the UI.","intents":["I want to fix a typo in a message I sent 5 messages ago without losing the conversation","I need to test how the assistant responds to different system prompts without starting over","I want to manually insert an assistant response to guide the conversation in a new direction"],"best_for":["prompt engineers iterating on conversation flows","researchers testing edge cases and model behaviors","users debugging conversation quality issues"],"limitations":["Editing a message does not automatically re-stream responses — users must manually trigger re-generation","No undo/redo history — edits are permanent once saved","Reordering messages does not validate semantic consistency — users can create nonsensical conversation flows"],"requires":["React component with form inputs for message editing","Zustand store with array mutation methods"],"input_types":["message content (text)","message role (user/assistant/system)","message index (integer)"],"output_types":["updated message array","re-rendered conversation UI"],"categories":["text-generation-language","editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_6","uri":"capability://text.generation.language.multi.language.internationalization.i18n.with.dynamic.locale.switching","name":"multi-language internationalization (i18n) with dynamic locale switching","description":"Implements a localization system using a locale configuration structure that maps UI strings, API model names, and pricing data to multiple languages. Supports dynamic locale switching without page reload by updating React context and re-rendering all components. Locale data is organized by feature (chat, settings, models) and includes both UI text and metadata translations. Persists user's language preference to localStorage for session continuity.","intents":["I want to use BetterChatGPT in my native language without forking the codebase","I need to add support for a new language by contributing translations","I want to switch languages mid-session without losing conversation state"],"best_for":["international teams using BetterChatGPT across multiple regions","open-source contributors adding language support","users in non-English-speaking countries"],"limitations":["Translations are static — no real-time translation API integration","Right-to-left (RTL) languages require additional CSS/layout adjustments not mentioned in architecture","Model names and pricing data must be manually translated per language"],"requires":["React context or state management for locale switching","Locale JSON files or configuration objects for each language","Component-level integration to consume locale context"],"input_types":["locale code (string, e.g., 'en', 'zh_CN')","translation key (string)"],"output_types":["translated UI string","localized model names and pricing"],"categories":["text-generation-language","localization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_7","uri":"capability://tool.use.integration.custom.model.parameter.configuration.per.conversation.with.preset.templates","name":"custom model parameter configuration per conversation with preset templates","description":"Allows users to configure OpenAI model parameters (temperature, top_p, max_tokens, frequency_penalty, presence_penalty) on a per-conversation basis through a ConfigInterface object. Stores configuration in the Zustand store and sends it with each API request. Supports preset templates (e.g., 'creative', 'precise', 'balanced') that populate common parameter combinations. Configuration UI provides sliders and input fields for each parameter with real-time validation and preview of parameter effects.","intents":["I want to use higher temperature for creative writing and lower temperature for factual queries","I need to limit response length to fit within a specific token budget","I want to save my favorite parameter combinations as presets for reuse"],"best_for":["prompt engineers tuning model behavior for specific tasks","researchers testing parameter sensitivity","teams with standardized parameter templates for different use cases"],"limitations":["Parameter changes only apply to new messages — existing messages are not re-generated with new parameters","No parameter validation against model-specific constraints (e.g., max_tokens limits per model)","Preset templates are hardcoded — no user-defined custom presets"],"requires":["ConfigInterface data model in Zustand store","UI components for parameter sliders and input fields","API integration to pass config with each request"],"input_types":["temperature (0-2)","top_p (0-1)","max_tokens (integer)","frequency_penalty (-2 to 2)","presence_penalty (-2 to 2)"],"output_types":["config object sent to API","parameter preview/explanation"],"categories":["tool-use-integration","configuration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_8","uri":"capability://text.generation.language.auto.generated.conversation.titles.with.customizable.naming","name":"auto-generated conversation titles with customizable naming","description":"Automatically generates conversation titles based on the first user message using heuristics or a lightweight summarization approach (likely extracting key phrases or using the first N characters). Allows users to manually override auto-generated titles with custom names. Title is stored in the ChatInterface object and displayed in the navigation sidebar. Updates title in real-time as users edit the first message.","intents":["I want meaningful conversation titles without manually naming every chat","I need to rename a conversation to better reflect its content after it evolves","I want to quickly scan my conversation list and find the right chat by title"],"best_for":["users with many conversations who need quick visual identification","teams sharing conversations who need descriptive titles for context"],"limitations":["Auto-generated titles may be generic or unhelpful for vague first messages","No option to regenerate title after conversation evolves — must manually rename","Title length is not constrained — long titles may overflow in sidebar UI"],"requires":["ChatInterface data model with title field","Title generation logic (heuristic or API-based)"],"input_types":["first user message (text)","custom title (text, optional)"],"output_types":["conversation title (string)"],"categories":["text-generation-language","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__cap_9","uri":"capability://tool.use.integration.sharegpt.integration.for.public.conversation.sharing","name":"sharegpt integration for public conversation sharing","description":"Integrates with ShareGPT API to publish conversations publicly with a shareable link. Serializes the conversation to ShareGPT's format, sends it to their API, and receives a public URL. Users can share this URL with others who can view the conversation without needing a BetterChatGPT account. Integration is optional and requires no additional configuration beyond a button click.","intents":["I want to share an interesting conversation with friends or colleagues without giving them access to my API key","I need to showcase a conversation publicly for documentation or portfolio purposes","I want to get feedback on a conversation by sharing it with a community"],"best_for":["users wanting to share conversations publicly without hosting their own server","researchers sharing example outputs with the community","content creators documenting AI interactions"],"limitations":["Shared conversations are public and permanent — no way to delete or make private after sharing","ShareGPT API availability and uptime are external dependencies","No control over how ShareGPT displays or stores the conversation"],"requires":["Network access to ShareGPT API","Conversation serialization logic compatible with ShareGPT format"],"input_types":["chat object (JSON)"],"output_types":["public ShareGPT URL (string)"],"categories":["tool-use-integration","sharing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"betterchatgpt__headline","uri":"capability://chatbots.assistants.enhanced.chatgpt.interface","name":"enhanced chatgpt interface","description":"BetterChatGPT is an open-source, feature-rich web interface designed for interacting with OpenAI's ChatGPT API, offering advanced chat organization, customization, and management tools that enhance user experience.","intents":["best ChatGPT interface","ChatGPT tool for organization","customizable ChatGPT UI","ChatGPT with cost tracking","advanced ChatGPT features"],"best_for":["users seeking enhanced chat management","developers wanting customizable interfaces"],"limitations":[],"requires":["OpenAI API key"],"input_types":[],"output_types":[],"categories":["chatbots-assistants"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":55,"verified":false,"data_access_risk":"high","permissions":["React 16.8+ (hooks support)","Zustand 3.x or later","Browser with localStorage support","OpenAI API key OR Azure OpenAI API key","Valid OpenAI model name (gpt-4, gpt-3.5-turbo, etc.) or Azure deployment name","Network access to OpenAI/Azure endpoints (or proxy server if using proxy mode)","Prompt template data structure (name, content, optional placeholders)","localStorage or equivalent for persistence","Search/filter UI component","Node.js 14+ and npm/yarn for development"],"failure_modes":["All state stored in browser memory and localStorage — no cloud persistence by default","Zustand store is not optimized for very large conversation histories (1000+ messages may cause performance degradation)","No built-in conflict resolution for concurrent edits across multiple browser tabs","No built-in retry logic or exponential backoff — failed requests require manual retry","Streaming responses are not buffered — network interruptions mid-stream lose partial responses","Azure OpenAI requires separate API key management; no unified credential system","Prompt library is local to the browser — no cloud sync or sharing between devices","No version control or history for prompt iterations","Search is basic string matching — no semantic search or tagging","Component hierarchy is tightly coupled to Zustand store — refactoring state management requires updating many components","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:04.690Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=betterchatgpt","compare_url":"https://unfragile.ai/compare?artifact=betterchatgpt"}},"signature":"m5qUOTNgJ+GMN/R6G4tT0+KkG2l6ZClBCUbDUWmNs2tixXeM+pWebL17c7U8oxbLEaGu3/wZ3OZI8jdeifO6Ag==","signedAt":"2026-06-22T14:26:27.418Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/betterchatgpt","artifact":"https://unfragile.ai/betterchatgpt","verify":"https://unfragile.ai/api/v1/verify?slug=betterchatgpt","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"}}