{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-kilo-org--kilocode","slug":"kilo-org--kilocode","name":"kilocode","type":"agent","url":"https://kilo.ai/","page_url":"https://unfragile.ai/kilo-org--kilocode","categories":["ai-agents"],"tags":["ai","ai-age","ai-coding","ai-developer-tools","chatgpt","claude","cli","gemini","jetbrains","sonnet","vscode","vscode-extension"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-kilo-org--kilocode__cap_0","uri":"capability://tool.use.integration.multi.provider.ai.model.orchestration.with.unified.interface","name":"multi-provider ai model orchestration with unified interface","description":"Kilo abstracts multiple LLM providers (OpenAI, Anthropic, Gemini, Bedrock, GitLab Duo) through a provider plugin system that transforms requests and responses into a canonical format. Each provider plugin handles authentication, request transformation, streaming protocol adaptation, and error mapping, allowing users to swap models without changing application code. The system maintains a configuration layer that routes requests to the appropriate provider based on user selection.","intents":["Switch between Claude, GPT-4, and Gemini without rewriting agent logic","Use on-premise or self-hosted LLM providers alongside cloud APIs","Fallback to alternative providers if primary model is unavailable","Compare model outputs across different providers for the same task"],"best_for":["Teams building LLM agents that need provider flexibility","Enterprises with multi-cloud or hybrid LLM strategies","Developers prototyping with multiple models simultaneously"],"limitations":["Provider-specific features (vision, function calling variants) require adapter code","Streaming response formats differ per provider — normalization adds ~50-100ms latency","Context window limits vary by model — no automatic truncation across providers"],"requires":["API keys for at least one supported provider (OpenAI, Anthropic, Google, AWS, GitLab)","Node.js 18+ or Bun runtime","Network access to provider endpoints or self-hosted LLM server"],"input_types":["text prompts","code snippets","structured JSON schemas for function calling"],"output_types":["streamed text responses","structured JSON (function calls, tool invocations)","code generation output"],"categories":["tool-use-integration","ai-provider-abstraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_1","uri":"capability://planning.reasoning.agentic.code.generation.with.tool.calling.framework","name":"agentic code generation with tool-calling framework","description":"Kilo implements an agent loop that decomposes coding tasks into sub-steps using chain-of-thought reasoning, then invokes tools (file operations, shell execution, search, web fetch) based on LLM-generated function calls. The agent maintains session state across multiple turns, manages context windows to fit large codebases, and streams intermediate reasoning steps back to the UI. Tool invocations are validated against a permission system before execution.","intents":["Generate multi-file code changes with reasoning about dependencies","Execute shell commands and interpret output to refine code generation","Search codebase and fetch external documentation to inform code decisions","Iterate on generated code based on test results or user feedback"],"best_for":["Solo developers building LLM agents for code tasks","Teams automating code generation in CI/CD pipelines","Developers who want to see agent reasoning, not just final output"],"limitations":["Agent loops add 2-5 seconds per reasoning step due to LLM latency","Context window management requires heuristic-based file selection — may miss relevant code in large monorepos","Tool execution is sandboxed but not fully isolated — shell commands run with user permissions","No built-in rollback mechanism if agent generates breaking changes"],"requires":["LLM provider with function-calling support (OpenAI, Anthropic, Gemini)","File system access to project directory","Shell environment for command execution (bash, zsh, or Windows PowerShell)","Git repository (optional, for worktree sandboxing)"],"input_types":["natural language task descriptions","code snippets for context","test output or error messages"],"output_types":["generated code files","shell command execution logs","structured reasoning traces","tool invocation history"],"categories":["planning-reasoning","code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_10","uri":"capability://tool.use.integration.mcp.model.context.protocol.tool.integration.for.extensible.capabilities","name":"mcp (model context protocol) tool integration for extensible capabilities","description":"Kilo supports the Model Context Protocol (MCP) standard, allowing agents to invoke tools provided by external MCP servers. The system handles MCP server lifecycle, tool discovery, request marshaling, and response parsing. This enables extensibility without modifying core Kilo code — teams can add custom tools by implementing MCP servers.","intents":["Extend agent capabilities with custom tools (database queries, internal APIs, etc.)","Integrate with third-party services (Slack, Jira, GitHub) via MCP servers","Share tool implementations across multiple agent platforms","Decouple tool implementation from agent core"],"best_for":["Teams with custom tools or internal APIs","Organizations standardizing on MCP for tool integration","Developers building tool ecosystems around Kilo"],"limitations":["MCP server must be running and accessible — adds deployment complexity","Tool discovery and invocation adds latency (100-500ms per tool call)","MCP spec is evolving — compatibility issues possible with different server versions","Debugging MCP tool failures requires understanding both Kilo and MCP server internals"],"requires":["MCP server running and accessible (local or remote)","MCP server implementation in supported language (Python, Node.js, etc.)","Network connectivity between Kilo and MCP server"],"input_types":["tool name","tool arguments (JSON schema-validated)"],"output_types":["tool result (JSON or text)","error messages","tool metadata"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_11","uri":"capability://data.processing.analysis.project.detection.and.workspace.metadata.extraction","name":"project detection and workspace metadata extraction","description":"Kilo automatically detects project type and structure by analyzing configuration files (package.json, go.mod, Cargo.toml, pyproject.toml, etc.) and git metadata. It extracts project metadata (language, framework, dependencies, build system) to inform agent decisions about code generation, testing, and formatting. This metadata is cached and updated on demand.","intents":["Understand project structure without explicit configuration","Generate code in the correct language and style for the project","Identify appropriate build commands and test runners","Understand dependency versions to avoid compatibility issues"],"best_for":["Multi-language or polyglot projects","Teams with diverse tech stacks","Agents that need to adapt behavior based on project type"],"limitations":["Detection relies on standard config files — custom or non-standard projects may not be detected","Metadata extraction is heuristic-based — may miss non-standard configurations","Metadata cache becomes stale if config files change — requires manual refresh","No support for monorepos with multiple project types in subdirectories"],"requires":["Project with standard configuration files (package.json, go.mod, etc.)","Git repository (optional but recommended for metadata)"],"input_types":["project root directory"],"output_types":["detected language and framework","dependency list with versions","build and test commands","project metadata (name, version, etc.)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_12","uri":"capability://tool.use.integration.http.rest.api.and.javascript.sdk.for.programmatic.access","name":"http rest api and javascript sdk for programmatic access","description":"Kilo exposes a comprehensive HTTP REST API that allows external applications to create sessions, send messages, invoke tools, and manage agent state. A JavaScript SDK wraps the HTTP API with type-safe methods and handles connection management. Both support streaming responses for real-time updates.","intents":["Integrate Kilo agent into custom applications or web interfaces","Build automation scripts that invoke Kilo programmatically","Create custom UIs that consume Kilo API","Integrate Kilo into CI/CD pipelines via API calls"],"best_for":["Teams building custom applications on top of Kilo","Developers integrating Kilo into existing workflows","CI/CD pipelines that need agent capabilities"],"limitations":["HTTP API adds network latency (50-200ms per request)","Streaming responses require WebSocket or Server-Sent Events — not all HTTP clients support this","API authentication requires API key management — adds security complexity","No built-in rate limiting — clients must implement their own"],"requires":["opencode backend running and accessible","HTTP client (curl, fetch, axios, etc.)","API key for authentication"],"input_types":["JSON request bodies","HTTP headers","query parameters"],"output_types":["JSON responses","streamed events (Server-Sent Events or WebSocket)","HTTP status codes"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_13","uri":"capability://code.generation.editing.jetbrains.ide.plugin.with.editor.integration","name":"jetbrains ide plugin with editor integration","description":"Kilo provides a plugin for JetBrains IDEs (IntelliJ, PyCharm, WebStorm, etc.) that integrates agent capabilities directly into the IDE. The plugin hooks into JetBrains' inspection and intention APIs to provide code actions, connects to the opencode backend via HTTP, and maintains session state within the IDE.","intents":["Use Kilo agent from JetBrains IDEs without switching tools","Apply agent-generated code changes via IDE code actions","Chat with agent about code while editing","See agent reasoning in IDE inspection results"],"best_for":["JetBrains IDE users (IntelliJ, PyCharm, WebStorm, etc.)","Teams standardizing on JetBrains for development","Developers who prefer IDE-native agent integration"],"limitations":["Plugin requires opencode backend running — adds setup complexity","JetBrains IDE plugin API is complex — plugin maintenance requires expertise","Code actions are slower than native IDE inspections (200-500ms latency)","Plugin compatibility varies across JetBrains IDE versions"],"requires":["JetBrains IDE (IntelliJ 2023.1+, PyCharm 2023.1+, etc.)","opencode backend running and accessible","Plugin installed from JetBrains marketplace"],"input_types":["editor selection or cursor position","open file content","user chat messages"],"output_types":["code actions with diffs","chat responses with code blocks","inspection results"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_14","uri":"capability://code.generation.editing.zed.editor.extension.for.lightweight.code.editing","name":"zed editor extension for lightweight code editing","description":"Kilo provides an extension for Zed, a lightweight code editor written in Rust. The extension connects to the opencode backend and provides inline completions and chat capabilities within Zed's native UI.","intents":["Use Kilo agent in Zed without external tools","Get inline code suggestions while editing in Zed","Chat with agent about code in Zed"],"best_for":["Zed users who want agent capabilities","Developers who prefer lightweight editors","Teams standardizing on Zed"],"limitations":["Zed extension API is newer and less mature than VS Code","Smaller ecosystem of extensions compared to VS Code","Extension requires opencode backend running"],"requires":["Zed editor installed","opencode backend running and accessible"],"input_types":["editor selection","chat messages"],"output_types":["inline completions","chat responses"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_15","uri":"capability://automation.workflow.github.actions.integration.for.ci.cd.automation","name":"github actions integration for ci/cd automation","description":"Kilo provides a GitHub Action that enables agents to run code generation and modification tasks as part of CI/CD workflows. The action invokes the Kilo API, captures agent output, and can create pull requests with generated changes. It supports environment variable injection for secrets and configuration.","intents":["Automatically generate code or documentation in CI/CD pipelines","Create pull requests with agent-generated changes","Run code generation on schedule or on specific events","Integrate agent capabilities into existing GitHub workflows"],"best_for":["Teams using GitHub Actions for CI/CD","Projects that want to automate code generation","Teams that want agent-generated PRs for review"],"limitations":["GitHub Action requires Kilo API endpoint accessible from GitHub runners","Action execution is limited by GitHub Actions timeout (6 hours)","No support for private Kilo instances without network configuration","PR creation requires GitHub token with appropriate permissions"],"requires":["GitHub repository with Actions enabled","Kilo API endpoint (cloud or self-hosted)","GitHub token with repo write permissions"],"input_types":["GitHub Actions inputs (environment variables, secrets)","repository context (branch, commit, etc.)"],"output_types":["pull requests with generated changes","action logs with agent output","exit codes indicating success/failure"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_16","uri":"capability://tool.use.integration.kilo.ai.gateway.for.cloud.hosted.agent.execution","name":"kilo ai gateway for cloud-hosted agent execution","description":"Kilo provides a cloud-hosted gateway (KiloClaw) that allows users to run agents without local infrastructure. The gateway handles authentication, manages agent sessions, and provides a unified API for accessing Kilo capabilities. It abstracts away backend complexity and provides scalable, multi-tenant execution.","intents":["Use Kilo agent without running local backend infrastructure","Scale agent execution across multiple requests without managing servers","Access Kilo from environments where local backend is impractical (mobile, web)","Leverage cloud-hosted models and compute without local setup"],"best_for":["Teams without infrastructure expertise","Users who want zero-setup agent access","Applications that need scalable agent execution","Organizations with security policies against local agent execution"],"limitations":["Cloud gateway adds network latency (100-500ms per request)","Code and context are sent to cloud — privacy/security concerns for sensitive projects","Gateway availability depends on Kilo's cloud infrastructure","Pricing model may be expensive for high-volume usage"],"requires":["Internet connectivity to Kilo cloud","Kilo account and API key","Acceptance of cloud data handling policies"],"input_types":["API requests via HTTP","code and context (sent to cloud)"],"output_types":["agent responses","generated code","execution logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_2","uri":"capability://memory.knowledge.codebase.aware.context.window.management","name":"codebase-aware context window management","description":"Kilo analyzes project structure, detects file dependencies, and intelligently selects relevant code snippets to fit within LLM context limits. The system uses file system snapshots, git metadata, and semantic search to prioritize files by relevance. When context exceeds limits, it applies heuristics to truncate or summarize less-relevant files while preserving critical imports and type definitions.","intents":["Generate code changes in large monorepos without exceeding token limits","Maintain type information and imports even when full files don't fit","Understand cross-file dependencies to generate correct code","Avoid hallucinating imports or function signatures due to missing context"],"best_for":["Teams working on large codebases (>100k LOC)","Monorepo environments with complex dependency graphs","Projects where context selection significantly impacts code quality"],"limitations":["Heuristic-based file selection may miss relevant context in unfamiliar codebases","Semantic search requires embeddings — adds startup latency for large projects","No support for dynamic context expansion if agent discovers missing dependencies mid-task","File snapshots are point-in-time — don't reflect concurrent edits"],"requires":["Project with detectable structure (package.json, go.mod, Cargo.toml, etc.)","Git repository for dependency analysis (optional but recommended)","LLM with sufficient context window (8k+ tokens)"],"input_types":["project root directory","file paths or glob patterns","task description with file references"],"output_types":["selected file snippets with line numbers","context utilization metrics","truncation/summarization decisions"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_3","uri":"capability://code.generation.editing.vs.code.extension.with.inline.code.actions.and.autocomplete","name":"vs code extension with inline code actions and autocomplete","description":"Kilo provides a VS Code extension that connects to the opencode backend via HTTP, enabling inline code suggestions, refactoring actions, and chat-based code generation without leaving the editor. The extension hooks into VS Code's CodeLens, InlineCompletion, and CodeAction providers to surface agent capabilities directly in the editor. It maintains a local session cache to avoid redundant backend calls and streams responses incrementally.","intents":["Get code suggestions inline while typing without opening a separate chat window","Apply multi-line refactorings via code actions in the editor","Chat with the agent about code without context switching","See agent reasoning and tool invocations in the editor sidebar"],"best_for":["VS Code users who want agent capabilities without leaving the editor","Teams standardizing on VS Code as the primary development environment","Developers who prefer inline suggestions over chat-based interaction"],"limitations":["Extension requires opencode backend running locally or remotely — adds setup complexity","Inline completions are slower than native VS Code IntelliSense (200-500ms latency)","CodeLens and CodeAction providers can slow editor responsiveness if agent is busy","No support for VS Code remote development (SSH, containers) without additional configuration"],"requires":["VS Code 1.80 or later","opencode CLI backend running and accessible (localhost:8000 by default)","Node.js 18+ for extension runtime"],"input_types":["editor selection or cursor position","open file content","user chat messages"],"output_types":["inline code completions","code actions with diffs","chat responses with code blocks","diagnostic messages"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_4","uri":"capability://tool.use.integration.desktop.application.with.native.platform.features.tauri.electron","name":"desktop application with native platform features (tauri/electron)","description":"Kilo provides cross-platform desktop applications (Tauri for macOS/Linux/Windows, Electron variant available) that bundle the opencode backend and provide native OS integration. The desktop app manages backend lifecycle, handles authentication via system keychain, and exposes platform-specific features like file dialogs and notifications. It communicates with the backend via local HTTP and maintains persistent session state.","intents":["Use Kilo as a standalone desktop application without CLI setup","Store API keys securely in system keychain","Access native file dialogs and system notifications","Run agent tasks in background while working on other projects"],"best_for":["Non-technical users or solo developers who prefer GUI over CLI","Teams standardizing on desktop app distribution","Users who want integrated backend lifecycle management"],"limitations":["Tauri variant requires Rust toolchain for building — adds build complexity","Desktop app bundles backend, increasing disk footprint (~500MB+)","Native platform features (keychain, file dialogs) vary by OS — requires platform-specific testing","Background task execution is limited by OS process management and power settings"],"requires":["macOS 10.13+, Windows 10+, or Linux (Ubuntu 18.04+)","Sufficient disk space for bundled backend (~500MB)","Network access to LLM provider APIs"],"input_types":["file paths via native file dialogs","text input via native text fields","drag-and-drop file operations"],"output_types":["generated code files","system notifications","persistent session logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_5","uri":"capability://text.generation.language.terminal.user.interface.tui.with.session.management","name":"terminal user interface (tui) with session management","description":"Kilo provides a full-featured terminal interface built with a custom UI component library, enabling interactive agent sessions in the terminal. The TUI displays session history, renders code blocks with syntax highlighting, provides autocomplete for prompts, and supports dialog-based interactions. It connects to the opencode backend via HTTP and maintains session state across terminal sessions.","intents":["Use Kilo agent entirely from the terminal without GUI","View agent reasoning and tool invocations in a structured format","Manage multiple sessions and switch between them","Integrate Kilo into shell scripts and CI/CD pipelines"],"best_for":["Terminal-first developers and DevOps engineers","CI/CD pipelines that need agent capabilities","Users on remote servers without GUI access","Teams automating code generation in shell scripts"],"limitations":["TUI rendering is slower than native GUI on large outputs (>10k lines)","Syntax highlighting is limited to common languages — custom language support requires plugin","Terminal width/height constraints may truncate code blocks or reasoning traces","No mouse support in some terminal emulators — keyboard-only navigation required"],"requires":["Terminal emulator with ANSI color support (xterm, iTerm2, Windows Terminal, etc.)","opencode backend running and accessible","Bash, zsh, or compatible shell for integration"],"input_types":["text prompts with autocomplete","file paths via shell expansion","dialog selections via keyboard navigation"],"output_types":["formatted session history with syntax highlighting","code blocks with line numbers","structured tool invocation logs","agent reasoning traces"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_6","uri":"capability://tool.use.integration.file.operation.tools.with.sandboxing.and.git.worktree.isolation","name":"file operation tools with sandboxing and git worktree isolation","description":"Kilo provides a tool system for file operations (read, write, create, delete, search) that runs within a permission-based sandbox. For safety, file modifications can be isolated to git worktrees, creating temporary branches where agent changes don't affect the main codebase. The system tracks file snapshots before and after operations, enabling rollback and audit trails.","intents":["Allow agent to modify files safely without risking main codebase","Review file changes before committing them to the repository","Rollback agent-generated changes if they break the build","Audit what files the agent modified and why"],"best_for":["Teams concerned about agent safety and auditability","Projects with strict change control requirements","Developers who want to review agent changes before merging"],"limitations":["Git worktree isolation requires git repository — not available for non-git projects","Worktree creation adds 1-2 seconds per session startup","File snapshots consume disk space — large files (>100MB) may cause performance issues","Rollback is manual — no automatic rollback on agent error"],"requires":["Git repository for worktree isolation (optional but recommended)","File system write permissions to project directory","Sufficient disk space for worktree copies"],"input_types":["file paths","file content","search patterns"],"output_types":["file content","file operation logs","git diff output","snapshots with before/after state"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_7","uri":"capability://tool.use.integration.shell.command.execution.tool.with.output.capture.and.streaming","name":"shell command execution tool with output capture and streaming","description":"Kilo provides a shell tool that allows agents to execute arbitrary shell commands (bash, zsh, PowerShell) and capture output in real-time. Output is streamed back to the agent and UI, enabling iterative refinement based on command results. The tool supports environment variable injection, working directory specification, and timeout management.","intents":["Run tests and interpret results to refine generated code","Execute build commands and capture compilation errors","Query system state (git status, file listings, environment) to inform code decisions","Run linters and formatters to validate generated code"],"best_for":["Agents that need to validate code through testing","CI/CD integration where agent output feeds into build pipelines","Developers who want agent to learn from test failures"],"limitations":["Shell execution runs with user permissions — no isolation from system","Long-running commands (>30s) may timeout and require manual intervention","Output capture is unbounded — very large outputs (>10MB) may cause memory issues","Shell syntax varies by OS — cross-platform scripts require careful handling"],"requires":["Shell environment (bash, zsh, PowerShell, etc.)","Appropriate tools installed for commands (git, npm, python, etc.)","Working directory with necessary files"],"input_types":["shell command strings","environment variables","working directory path"],"output_types":["stdout/stderr output","exit code","execution time","streamed output chunks"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_8","uri":"capability://search.retrieval.semantic.search.and.codebase.navigation.tools","name":"semantic search and codebase navigation tools","description":"Kilo provides tools for searching code by semantic meaning (not just regex), enabling agents to find relevant functions, classes, and patterns without explicit file paths. The search uses embeddings or AST-based analysis to understand code structure and return contextually relevant results. Results include file paths, line numbers, and code snippets.","intents":["Find all usages of a function across a large codebase","Locate similar code patterns to understand conventions","Discover type definitions and interfaces needed for code generation","Navigate to related code without knowing exact file structure"],"best_for":["Large codebases (>100k LOC) where manual navigation is impractical","Agents that need to understand code patterns before generating","Teams with complex project structures and unclear file organization"],"limitations":["Semantic search requires embeddings or AST parsing — adds startup latency (1-5s for large projects)","Search results may include false positives if code patterns are similar but semantically different","No support for cross-language search in polyglot projects","Search index must be rebuilt if code changes significantly"],"requires":["Project with detectable code structure","Embeddings model or AST parser for language (built-in for common languages)","Sufficient memory for search index (~1MB per 10k LOC)"],"input_types":["search query (natural language or code pattern)","file type filter","scope (entire project or specific directory)"],"output_types":["ranked list of matching code snippets","file paths with line numbers","relevance scores"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-kilo-org--kilocode__cap_9","uri":"capability://search.retrieval.web.fetch.tool.for.external.documentation.and.api.reference","name":"web fetch tool for external documentation and api reference","description":"Kilo provides a web fetch tool that allows agents to retrieve external documentation, API references, and web content to inform code generation. The tool handles HTTP requests, follows redirects, parses HTML/JSON responses, and extracts relevant content. Results are cached to avoid redundant requests.","intents":["Fetch API documentation to understand function signatures and parameters","Retrieve library examples from GitHub or official docs","Look up error messages and solutions from Stack Overflow or official docs","Understand framework conventions by fetching official guides"],"best_for":["Agents working with unfamiliar libraries or frameworks","Teams that want agents to stay up-to-date with latest API versions","Developers who want agents to reference official docs instead of hallucinating"],"limitations":["Web requests add 1-3 seconds latency per fetch","HTML parsing is fragile — page structure changes break extraction","No support for authenticated endpoints (OAuth, API keys in headers)","Large responses (>10MB) may cause memory issues","Rate limiting on some sites may block repeated requests"],"requires":["Network access to external websites","HTTP client library (built-in)","HTML/JSON parsing capability"],"input_types":["URL","HTTP method (GET, POST)","optional headers and request body"],"output_types":["HTTP response body (text, HTML, JSON)","HTTP status code","response headers","parsed content (optional)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":53,"verified":false,"data_access_risk":"high","permissions":["API keys for at least one supported provider (OpenAI, Anthropic, Google, AWS, GitLab)","Node.js 18+ or Bun runtime","Network access to provider endpoints or self-hosted LLM server","LLM provider with function-calling support (OpenAI, Anthropic, Gemini)","File system access to project directory","Shell environment for command execution (bash, zsh, or Windows PowerShell)","Git repository (optional, for worktree sandboxing)","MCP server running and accessible (local or remote)","MCP server implementation in supported language (Python, Node.js, etc.)","Network connectivity between Kilo and MCP server"],"failure_modes":["Provider-specific features (vision, function calling variants) require adapter code","Streaming response formats differ per provider — normalization adds ~50-100ms latency","Context window limits vary by model — no automatic truncation across providers","Agent loops add 2-5 seconds per reasoning step due to LLM latency","Context window management requires heuristic-based file selection — may miss relevant code in large monorepos","Tool execution is sandboxed but not fully isolated — shell commands run with user permissions","No built-in rollback mechanism if agent generates breaking changes","MCP server must be running and accessible — adds deployment complexity","Tool discovery and invocation adds latency (100-500ms per tool call)","MCP spec is evolving — compatibility issues possible with different server versions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7352874041644694,"quality":0.5,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.550Z","last_scraped_at":"2026-05-03T13:58:34.540Z","last_commit":"2026-05-03T04:01:59Z"},"community":{"stars":18860,"forks":2482,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=kilo-org--kilocode","compare_url":"https://unfragile.ai/compare?artifact=kilo-org--kilocode"}},"signature":"xZxu++R0pueqNiU3bCS49pKrSeYAzrNrGbLxhhSm6Gngzru0rWd5Bja2E7Gq7UPHi1lX1NvQ0kNPgQdFnetrDg==","signedAt":"2026-06-19T18:01:47.013Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/kilo-org--kilocode","artifact":"https://unfragile.ai/kilo-org--kilocode","verify":"https://unfragile.ai/api/v1/verify?slug=kilo-org--kilocode","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"}}