{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-moonshot-ai-kimi-code","slug":"kimi-code","name":"Kimi Code","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=moonshot-ai.kimi-code","page_url":"https://unfragile.ai/kimi-code","categories":["code-editors"],"tags":["agent","ai","assistant","autocomplete","chat","code","json","keybindings","kimi","mcp","moonshot","moonshot-ai","skills"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-moonshot-ai-kimi-code__cap_0","uri":"capability://planning.reasoning.autonomous.codebase.exploration.and.analysis","name":"autonomous-codebase-exploration-and-analysis","description":"Kimi Code autonomously reads, traverses, and analyzes project code structure without explicit file-by-file user direction. The extension maintains awareness of the full workspace context, enabling the AI to understand dependencies, module relationships, and architectural patterns across the codebase. This differs from context-window-limited approaches by maintaining persistent codebase indexing within the VS Code workspace, allowing the agent to navigate and reason about code relationships without repeated context reloading.","intents":["I want the AI to understand my entire project structure without me manually explaining each file","I need the AI to identify architectural patterns and dependencies across my codebase automatically","I want to ask questions about how different parts of my project interact without providing full file contents"],"best_for":["developers working on large codebases who need AI to understand project topology","teams migrating legacy systems who need architectural analysis without manual documentation","solo developers building complex multi-module projects"],"limitations":["Autonomous exploration scope and depth not documented — unclear if it indexes entire workspace or uses heuristics to prioritize files","No documented rate limiting or resource throttling for codebase traversal operations","Performance impact on large monorepos (100k+ files) unknown","Cannot access files outside the VS Code workspace root"],"requires":["VS Code workspace with accessible project files","Active kimi.com/code subscription","Network connectivity to Kimi backend service"],"input_types":["project file structure","code files (all supported VS Code languages)"],"output_types":["architectural analysis","dependency maps (implicit in reasoning)","code generation based on codebase patterns"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_1","uri":"capability://code.generation.editing.code.generation.with.diff.viewer.review","name":"code-generation-with-diff-viewer-review","description":"Kimi Code generates code modifications and presents them through VS Code's native diff viewer, enabling side-by-side comparison of proposed changes before acceptance. The extension writes code directly to the editor with user review gates, preventing unvetted modifications. This integration leverages VS Code's built-in diff UI rather than custom review panels, ensuring consistency with native editor workflows and reducing cognitive load for developers familiar with VS Code's merge/diff patterns.","intents":["I want to see exactly what code changes the AI is proposing before applying them","I need to review and selectively accept or reject parts of AI-generated code","I want to use VS Code's native diff tools to understand AI modifications in context"],"best_for":["developers who require code review workflows before applying AI changes","teams with strict code quality standards needing human-in-the-loop AI assistance","developers already familiar with VS Code's diff viewer and merge workflows"],"limitations":["Diff viewer integration is read-only review — no in-diff editing or partial acceptance of hunks documented","Multi-file code generation review workflow not documented — unclear how diffs are presented across multiple files","No documented support for generating code in files not currently open in editor","Diff context window size and performance with large file modifications unknown"],"requires":["VS Code 1.50+ (estimated, based on diff viewer API availability)","Active kimi.com/code subscription","Write permissions to project files"],"input_types":["natural language code requests","code snippets for context","current file content"],"output_types":["code modifications (presented via diff viewer)","multi-file code generation"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_10","uri":"capability://tool.use.integration.web.based.authentication.and.subscription.management","name":"web-based-authentication-and-subscription-management","description":"Kimi Code uses web-based authentication via kimi.com/code subscription, requiring users to sign in through a web browser to authenticate and manage their subscription. The authentication flow redirects users to the Kimi website for login and subscription management, then returns credentials to the VS Code extension. This approach centralizes subscription and account management on the Kimi platform rather than embedding it in the extension, simplifying extension maintenance and enabling consistent account management across platforms.","intents":["I want to authenticate Kimi Code with my kimi.com account","I need to manage my subscription and billing through a web interface","I want to use the same account across multiple devices and VS Code installations"],"best_for":["individual developers with kimi.com accounts","teams managing subscriptions through centralized Kimi account management","developers who prefer web-based account management over in-app settings"],"limitations":["Authentication flow details not documented — unclear how credentials are stored and refreshed","No documented support for API key authentication or programmatic access","Subscription tier details and pricing not provided in marketplace listing","No documented offline authentication or cached credential support","Unclear whether authentication is required for every VS Code session or persisted across restarts"],"requires":["kimi.com account (free or paid subscription)","Web browser for authentication flow","Network connectivity to kimi.com","Active subscription to use extension features"],"input_types":["kimi.com credentials"],"output_types":["authentication token","subscription status"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_11","uri":"capability://planning.reasoning.slash.command.interface.for.agent.actions","name":"slash-command-interface-for-agent-actions","description":"Kimi Code provides a slash command interface (e.g., `/init`, `/compact`) for invoking specific agent actions and workflows. Slash commands serve as explicit entry points for complex operations that require specific context or configuration, distinguishing them from natural language requests. The command interface enables developers to invoke deterministic workflows (project initialization, context compression) without relying on the AI to infer intent from natural language. Additional slash commands beyond `/init` and `/compact` are referenced in tags but not documented in the marketplace listing.","intents":["I want to invoke specific agent workflows without relying on natural language interpretation","I need explicit commands for operations like project setup and context management","I want to discover available agent capabilities through a command interface"],"best_for":["developers who prefer explicit commands over natural language for deterministic operations","teams with standardized workflows that map to specific slash commands","developers who want to discover and learn agent capabilities through command discovery"],"limitations":["Complete slash command list not documented — only `/init` and `/compact` are mentioned","No documented command discovery mechanism or help system","Unclear whether slash commands support arguments or options","No documented way to create custom slash commands or extend the command interface"],"requires":["Active kimi.com/code subscription","Knowledge of available slash commands (not fully documented)"],"input_types":["slash command text (e.g., `/init`, `/compact`)"],"output_types":["command execution results","project context updates","context compression results"],"categories":["planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_2","uri":"capability://planning.reasoning.deep.reasoning.mode.for.complex.problems","name":"deep-reasoning-mode-for-complex-problems","description":"Kimi Code provides a toggle-able 'thinking mode' that enables extended reasoning for complex architectural decisions, debugging scenarios, and multi-step problem solving. When activated, the AI allocates additional computational resources to chain-of-thought reasoning before generating responses, similar to OpenAI's o1 or Claude's extended thinking. This mode trades latency for reasoning depth, allowing the agent to explore multiple solution paths and validate architectural decisions before presenting recommendations.","intents":["I need the AI to think deeply about a complex architectural problem before suggesting a solution","I want help debugging a subtle issue that requires multi-step reasoning and hypothesis testing","I need the AI to consider multiple design approaches and explain trade-offs before recommending one"],"best_for":["architects and senior developers tackling complex system design problems","debugging teams investigating subtle or multi-layered bugs","developers learning new architectural patterns and needing detailed reasoning"],"limitations":["Thinking mode latency not documented — unclear if response times are seconds, minutes, or longer","No documented limits on thinking depth or computational budget per query","Unclear whether thinking mode is available on all subscription tiers or requires premium plan","No indication of how thinking process is surfaced to user — is reasoning shown or only final answer?"],"requires":["Active kimi.com/code subscription (tier unknown)","Network connectivity to Kimi backend","Patience for extended response times"],"input_types":["natural language problem description","code snippets or architecture diagrams","debugging context and error logs"],"output_types":["detailed reasoning explanation","architectural recommendations with trade-off analysis","debugging hypotheses and validation steps"],"categories":["planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_3","uri":"capability://memory.knowledge.project.initialization.and.context.setup","name":"project-initialization-and-context-setup","description":"The `/init` slash command triggers automated project analysis and context setup, where Kimi Code scans the project structure, identifies technology stack, build configuration, and key architectural patterns. This command establishes the initial context model for the AI agent, enabling subsequent interactions to reference project-specific conventions and patterns without manual explanation. The initialization process is designed to be run once per project to bootstrap the agent's understanding of the codebase topology and technology choices.","intents":["I want to quickly set up Kimi Code to understand my project without manually explaining the tech stack","I need the AI to learn my project's conventions, build system, and architecture patterns automatically","I want to initialize context for a new project I'm starting work on"],"best_for":["developers starting work on new projects and wanting quick AI onboarding","teams onboarding new developers who want AI to understand project context","developers switching between multiple projects who need per-project context setup"],"limitations":["Initialization scope not documented — unclear what constitutes 'project analysis' (config files only? source code patterns? dependencies?)","No documented way to re-initialize or update context after project changes","Performance impact on large projects unknown — initialization time not specified","Cannot be run on projects with missing or non-standard configuration files"],"requires":["VS Code workspace with project files","Active kimi.com/code subscription","Project with detectable configuration (package.json, pyproject.toml, etc.)"],"input_types":["project file structure","configuration files (package.json, pyproject.toml, etc.)","build scripts and tooling"],"output_types":["project context model (implicit)","technology stack identification","architectural pattern recognition"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_4","uri":"capability://memory.knowledge.context.window.compression.and.management","name":"context-window-compression-and-management","description":"The `/compact` slash command enables developers to compress and manage the AI's context window, removing less relevant information and prioritizing critical project context. This command helps maintain token efficiency when working with large codebases or long conversation histories, preventing context overflow that would degrade reasoning quality. The compression strategy is not documented but likely uses relevance scoring or semantic similarity to identify and retain high-value context while discarding redundant or peripheral information.","intents":["I want to reduce context window usage to keep the AI focused on relevant code","I need to clear accumulated conversation history to reset the AI's context","I want to optimize token usage when working with large files or long conversations"],"best_for":["developers working on large codebases where context window is a bottleneck","teams with strict API usage budgets needing to optimize token consumption","developers managing long conversation threads that accumulate irrelevant context"],"limitations":["Compression algorithm and strategy not documented — unclear what information is retained vs. discarded","No metrics provided on compression ratio or token savings","Unclear whether compression is lossless or lossy, and what quality trade-offs exist","No documented way to preview what will be compressed before applying"],"requires":["Active conversation or context window with accumulated information","Active kimi.com/code subscription","Understanding of when context compression is beneficial"],"input_types":["accumulated conversation history","project context and code references"],"output_types":["compressed context model (implicit)","reduced token usage for subsequent queries"],"categories":["memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_5","uri":"capability://tool.use.integration.terminal.command.execution.with.permission.gating","name":"terminal-command-execution-with-permission-gating","description":"Kimi Code can execute terminal commands within the VS Code integrated terminal, but only with explicit user permission for each command. The extension presents proposed commands to the user before execution, displaying the command text and requesting confirmation. This permission-gating pattern prevents unintended or malicious command execution while enabling the AI to run build commands, tests, and deployment scripts as part of autonomous workflows. The execution context is the VS Code terminal, maintaining shell state and environment variables across commands.","intents":["I want the AI to run build commands and tests to validate code changes","I need the AI to execute deployment or setup scripts with my approval","I want to see what commands the AI is proposing before they run"],"best_for":["developers using AI for end-to-end code generation and validation workflows","teams automating build and test execution as part of AI-assisted development","developers who want AI to execute commands but require human oversight"],"limitations":["Permission gating is per-command — no documented way to grant blanket permission for trusted commands","Terminal execution context limited to VS Code integrated terminal — cannot access system shell directly","No documented timeout or resource limits for command execution","Unclear how the extension handles long-running commands or interactive prompts","No documented support for environment variable injection or shell configuration"],"requires":["VS Code integrated terminal available and functional","Active kimi.com/code subscription","User permission for each command execution","Appropriate shell environment (bash, zsh, PowerShell, etc.)"],"input_types":["natural language requests to run commands","code context for determining appropriate commands"],"output_types":["command execution results (stdout/stderr)","exit codes and error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_6","uri":"capability://tool.use.integration.model.context.protocol.server.integration","name":"model-context-protocol-server-integration","description":"Kimi Code supports Model Context Protocol (MCP) servers, enabling extension of the AI agent's capabilities through standardized MCP interfaces. MCP servers can provide custom tools, resources, and data sources that the AI can invoke during reasoning and code generation. The extension acts as an MCP client, discovering and communicating with configured MCP servers to augment the agent's capabilities beyond built-in code analysis and generation. Configuration details for adding MCP servers are not documented in the marketplace listing, but the capability indicates support for the MCP ecosystem.","intents":["I want to extend Kimi Code with custom tools specific to my project or domain","I need the AI to integrate with external services or data sources via MCP servers","I want to use community-built MCP servers to add specialized capabilities"],"best_for":["teams building custom AI workflows with domain-specific tools","developers integrating Kimi Code with existing MCP server infrastructure","organizations with specialized tooling that needs AI integration"],"limitations":["MCP server configuration process not documented in marketplace listing — unclear how to add/configure servers","No documented list of compatible or recommended MCP servers","Unclear whether MCP servers run locally or remotely, and what security implications exist","No documentation of MCP version compatibility or protocol version support","Unknown whether MCP server failures gracefully degrade or block AI operations"],"requires":["Active kimi.com/code subscription","MCP server(s) to integrate (local or remote)","MCP server configuration details (endpoint, authentication, etc.)","Understanding of MCP protocol and server implementation"],"input_types":["MCP server configuration","custom tool definitions","external data sources via MCP"],"output_types":["extended AI capabilities","results from custom tools","data from external sources"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_7","uri":"capability://code.generation.editing.multi.language.code.generation.and.editing","name":"multi-language-code-generation-and-editing","description":"Kimi Code supports code generation and editing across all languages supported by VS Code, leveraging the editor's language detection and syntax highlighting infrastructure. The AI can generate, modify, and analyze code in Python, JavaScript, TypeScript, Java, C++, Go, Rust, and 50+ other languages. Language-specific context (syntax, conventions, idioms) is inferred from the codebase and applied to generated code, ensuring language-appropriate suggestions. The extension does not require explicit language configuration — it automatically detects the target language from file extension or editor context.","intents":["I want the AI to generate code in my project's primary language without specifying it","I need to refactor code across multiple languages in a polyglot project","I want the AI to understand language-specific idioms and conventions"],"best_for":["developers working on polyglot projects with multiple programming languages","teams using less common languages where AI support is limited","developers who want language-agnostic AI assistance across their tech stack"],"limitations":["Language support matrix not documented — unclear which languages have full vs. partial support","Code generation quality likely varies by language — no documented quality metrics per language","Language-specific idiom and convention detection not documented — unclear how deeply language semantics are understood","No documented support for domain-specific languages (DSLs) or custom language extensions"],"requires":["VS Code with language support for target language","Active kimi.com/code subscription","Project files in target language for context"],"input_types":["code in any VS Code-supported language","natural language requests for code generation"],"output_types":["generated code in target language","code modifications and refactoring","language-specific analysis and suggestions"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_8","uri":"capability://text.generation.language.activity.bar.sidebar.ui.integration","name":"activity-bar-sidebar-ui-integration","description":"Kimi Code integrates into VS Code's Activity Bar and Sidebar, providing a dedicated panel for chat, code review, and agent interaction. The sidebar UI serves as the primary interface for conversing with the AI agent, reviewing code changes, and accessing slash commands. This integration follows VS Code's extension UI patterns, ensuring consistency with other sidebar extensions and reducing cognitive load for users familiar with the editor's layout. The sidebar maintains conversation history and provides quick access to project context and AI capabilities.","intents":["I want a dedicated UI panel for interacting with the AI without cluttering my editor","I need quick access to AI chat and code review from the sidebar","I want to see conversation history and context in a persistent panel"],"best_for":["developers who prefer sidebar-based AI interaction over inline suggestions","teams using VS Code as their primary IDE and wanting native integration","developers who want persistent conversation history and context visibility"],"limitations":["Sidebar UI layout and features not documented — unclear what controls and options are available","No documented way to customize sidebar layout or hide specific panels","Sidebar performance with large conversation histories unknown","No documented support for multi-window or multi-workspace sidebar synchronization"],"requires":["VS Code 1.50+ (estimated)","Active kimi.com/code subscription","Sufficient screen space for sidebar (not ideal on small displays)"],"input_types":["natural language chat input","code snippets pasted into sidebar","slash commands"],"output_types":["AI responses and suggestions","code diffs for review","conversation history"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-moonshot-ai-kimi-code__cap_9","uri":"capability://tool.use.integration.custom.executable.path.configuration","name":"custom-executable-path-configuration","description":"Kimi Code allows configuration of a custom executable path via the `kimi.executablePath` setting, enabling developers to point to a custom Kimi CLI installation instead of using the default cloud-based service. This configuration option suggests support for local or self-hosted Kimi deployments, though details on local deployment, CLI functionality, and configuration are not documented. The setting provides flexibility for organizations with specific deployment requirements or offline usage needs.","intents":["I want to use a local or self-hosted Kimi instance instead of the cloud service","I need to integrate Kimi Code with a custom Kimi CLI installation","I want to control where Kimi Code sends code and context for privacy or compliance reasons"],"best_for":["enterprises with data residency or privacy requirements","organizations with self-hosted AI infrastructure","developers who want to run Kimi locally for offline usage"],"limitations":["Custom executable path configuration details not documented — unclear what CLI interface is expected","No documentation on local Kimi deployment, setup, or configuration","Unclear whether local deployment requires separate licensing or subscription","No documented fallback behavior if custom executable is unavailable","Performance and capability differences between cloud and local deployments unknown"],"requires":["Custom Kimi CLI installation (details unknown)","VS Code setting `kimi.executablePath` configured with path to executable","Appropriate permissions to execute custom executable"],"input_types":["path to custom Kimi executable"],"output_types":["connection to custom Kimi instance"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":45,"verified":false,"data_access_risk":"high","permissions":["VS Code workspace with accessible project files","Active kimi.com/code subscription","Network connectivity to Kimi backend service","VS Code 1.50+ (estimated, based on diff viewer API availability)","Write permissions to project files","kimi.com account (free or paid subscription)","Web browser for authentication flow","Network connectivity to kimi.com","Active subscription to use extension features","Knowledge of available slash commands (not fully documented)"],"failure_modes":["Autonomous exploration scope and depth not documented — unclear if it indexes entire workspace or uses heuristics to prioritize files","No documented rate limiting or resource throttling for codebase traversal operations","Performance impact on large monorepos (100k+ files) unknown","Cannot access files outside the VS Code workspace root","Diff viewer integration is read-only review — no in-diff editing or partial acceptance of hunks documented","Multi-file code generation review workflow not documented — unclear how diffs are presented across multiple files","No documented support for generating code in files not currently open in editor","Diff context window size and performance with large file modifications unknown","Authentication flow details not documented — unclear how credentials are stored and refreshed","No documented support for API key authentication or programmatic access","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.66,"quality":0.34,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:37.518Z","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=kimi-code","compare_url":"https://unfragile.ai/compare?artifact=kimi-code"}},"signature":"BbcTislnGVUethVYzDQSFTRFhLVlLrcALdNBEU+WWGeuP4Bh4E7tgGridUTqTSvMmkiDxRWrGQ/IUU9vu5FhBQ==","signedAt":"2026-06-19T22:10:38.072Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/kimi-code","artifact":"https://unfragile.ai/kimi-code","verify":"https://unfragile.ai/api/v1/verify?slug=kimi-code","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"}}