{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-autohandai--commander","slug":"autohandai--commander","name":"commander","type":"agent","url":"https://www.autohand.ai/commander","page_url":"https://unfragile.ai/autohandai--commander","categories":["app-builders"],"tags":["ai","ai-agents","ai-tool","claude","claude-code","codex-cli","codingagents","gemini-cli","gitworktrees","llm","llms","openai","rust","tauri2"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-autohandai--commander__cap_0","uri":"capability://tool.use.integration.multi.agent.llm.orchestration.via.unified.cli.interface","name":"multi-agent llm orchestration via unified cli interface","description":"Commander provides a single desktop application that routes user prompts to multiple AI coding agents (Claude Code CLI, Codex, Gemini, Ollama) through a Tauri-based IPC command layer. The backend registers 80+ Tauri commands that invoke CLI agents as child processes, capturing stdout/stderr streams and piping results back to the React frontend through event emitters. Agent selection and configuration is persisted in the tauri_plugin_store, enabling users to switch between providers without reconfiguration.","intents":["I want to compare outputs from Claude, Gemini, and Ollama on the same coding task without switching tools","I need to route different types of coding tasks to different agents based on their strengths","I want a single interface to manage API keys and credentials for multiple LLM providers"],"best_for":["developers evaluating multiple AI coding agents for production workflows","teams building multi-model AI coding pipelines","researchers comparing agent performance across different LLM backends"],"limitations":["Agent execution is sequential, not parallel — only one agent can run per invocation","No built-in fallback or retry logic if an agent CLI is unavailable or crashes","Agent output formatting varies by provider; Commander does not normalize responses","Requires each agent CLI to be installed locally and accessible in PATH"],"requires":["Node.js 18+ and Rust toolchain for building from source","At least one AI agent CLI installed (Claude Code CLI, Codex, Gemini CLI, or Ollama)","API keys for cloud-based agents (Claude, Gemini, OpenAI) stored in environment or Commander settings","Tauri v2 runtime (bundled in prebuilt binaries)"],"input_types":["natural language prompts (text)","code snippets (text)","file paths and repository context (text)"],"output_types":["agent response text (streamed)","generated code (text)","execution logs and error messages (text)"],"categories":["tool-use-integration","multi-agent-orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_1","uri":"capability://memory.knowledge.git.aware.code.context.injection.for.agent.prompts","name":"git-aware code context injection for agent prompts","description":"Commander integrates Git repository metadata into agent prompts by executing git commands (via tauri_plugin_shell) to extract branch history, diffs, commit logs, and file change context. The backend Git command layer (src-tauri/src/commands/git_commands.rs) exposes operations like get_git_history, get_diff, and get_changed_files, which are invoked before sending prompts to agents. This allows agents to understand the repository state, recent changes, and project structure without requiring users to manually copy-paste context.","intents":["I want the AI agent to understand what files I've changed and why, so it can make contextually aware suggestions","I need the agent to see the git history and understand the project's evolution before suggesting refactors","I want to ask the agent to review my uncommitted changes without manually selecting files"],"best_for":["developers working in Git-based workflows who want agents to understand repository context","teams using feature branches and pull requests who need agents to review branch-specific changes","developers iterating on code who want agents to see the diff between current and previous versions"],"limitations":["Only works with Git repositories — non-Git projects cannot access history or diff context","Git command execution adds latency (typically 100-500ms per git operation) before agent invocation","Large repositories with deep history may timeout if git log or diff operations are expensive","Requires git CLI to be installed and accessible in PATH"],"requires":["Git 2.20+ installed and accessible in system PATH","Project must be a valid Git repository (initialized with git init or cloned)","User must have read permissions on .git directory"],"input_types":["repository path (text)","branch name (text)","commit range (text)"],"output_types":["git history (structured text)","diff output (unified diff format)","list of changed files (JSON array)","commit metadata (JSON)"],"categories":["memory-knowledge","git-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_10","uri":"capability://memory.knowledge.session.management.and.multi.conversation.support","name":"session management and multi-conversation support","description":"Commander supports multiple concurrent chat sessions, each with its own message history and agent context. The backend stores session metadata (session ID, creation time, agent type) in tauri_plugin_store, and the frontend allows users to create new sessions, switch between sessions, and view session history. Each session maintains its own message list and can be associated with a different agent or project. This enables users to run multiple parallel conversations with agents without losing context.","intents":["I want to run multiple parallel conversations with different agents on the same project","I need to keep separate conversations for different tasks or features","I want to review past sessions and compare agent outputs across different conversations"],"best_for":["developers working on multiple features or tasks simultaneously","teams comparing agent outputs across different sessions","users who want to maintain separate conversation threads for organization"],"limitations":["Session switching adds context-switching overhead — users must manually switch between sessions","No built-in session merging or consolidation — users cannot combine conversations","Session storage is local to the machine — sessions are not synced across devices","No session-level access control or sharing — all sessions are private to the user"],"requires":["Tauri v2 with event system and storage plugin enabled"],"input_types":["session name (text)","agent type (text)","project path (text)"],"output_types":["session list (JSON array)","session metadata (JSON)","session messages (JSON array)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_11","uri":"capability://tool.use.integration.ipc.based.command.invocation.with.request.response.and.event.streaming","name":"ipc-based command invocation with request-response and event streaming","description":"Commander uses Tauri's IPC (Inter-Process Communication) system to enable bidirectional communication between the React frontend and Rust backend. The frontend invokes Tauri commands using the invoke API for request-response patterns (e.g., 'get_git_history'), and listens for events using the listen API for real-time streaming (e.g., agent output streams). The backend registers 80+ commands in the invoke_handler! macro, each mapped to a Rust function that executes the requested operation and returns a result. This architecture enables the frontend to remain lightweight while delegating heavy operations (git commands, file I/O, agent execution) to the backend.","intents":["I want the frontend to remain responsive while the backend executes long-running operations","I need real-time streaming of agent output without blocking the UI","I want to invoke backend operations from the frontend without writing native code"],"best_for":["developers building Tauri applications with complex backend logic","teams needing to separate frontend and backend concerns","applications requiring real-time streaming and long-running operations"],"limitations":["IPC serialization/deserialization adds ~5-10ms latency per command invocation","Command arguments must be JSON-serializable — complex types require custom serialization","No built-in request timeout — long-running commands may hang indefinitely","Event streaming is one-way (backend to frontend) — frontend cannot send data back during streaming"],"requires":["Tauri v2 with IPC enabled","Rust backend compiled and running","Frontend JavaScript/TypeScript code using @tauri-apps/api"],"input_types":["command name (text)","command arguments (JSON)","event name (text)"],"output_types":["command result (JSON)","event payload (JSON, streamed in real-time)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_12","uri":"capability://code.generation.editing.code.editor.integration.with.syntax.highlighting.and.line.numbering","name":"code editor integration with syntax highlighting and line numbering","description":"Commander provides a code editor view (CodeView component) that displays code files with syntax highlighting via prism-react-renderer and line numbering. The editor is read-only and focused on code viewing and review rather than editing. When a user selects a file from the File Explorer, the backend reads the file content and the frontend renders it with language-specific syntax highlighting based on the file extension. The editor supports horizontal and vertical scrolling for large files and displays line numbers for easy reference.","intents":["I want to view code files with syntax highlighting without opening an external editor","I need to reference line numbers when discussing code with agents or team members","I want to quickly browse code in the same application where I'm interacting with agents"],"best_for":["developers who want an integrated code viewing experience","teams reviewing AI-generated code without switching to an editor","users on resource-constrained machines who want a lightweight code viewer"],"limitations":["Code editor is read-only — users cannot edit files directly in Commander","Syntax highlighting is limited to languages supported by Prism (100+ languages)","Large files (>10MB) may cause performance issues due to DOM rendering","No code folding, minimap, or other advanced editor features"],"requires":["File system read permissions for project files","Prism language definition for the file type (auto-detected from file extension)"],"input_types":["file path (text)","file content (text)"],"output_types":["syntax-highlighted code (HTML/React components)","line numbers (HTML/React components)"],"categories":["code-generation-editing","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_2","uri":"capability://text.generation.language.real.time.agent.output.streaming.with.message.persistence","name":"real-time agent output streaming with message persistence","description":"Commander implements a streaming chat system where agent responses are captured as stdout/stderr streams from CLI processes and emitted to the frontend in real-time via Tauri event listeners. The MessagesList component renders incoming tokens as they arrive, and the Chat System persists all messages (user prompts and agent responses) to a local SQLite database via tauri_plugin_store. This enables users to see agent reasoning unfold in real-time while maintaining a searchable conversation history.","intents":["I want to see the agent's reasoning as it generates code, not wait for the entire response to complete","I need to search through past conversations with agents to find similar problems and solutions","I want to export or review the full conversation history for documentation or auditing"],"best_for":["developers who want interactive feedback from agents during code generation","teams building audit trails of AI-assisted development decisions","users with slow network connections or agents that take >5 seconds to respond"],"limitations":["Streaming requires agents to output incrementally — agents that buffer output will appear to hang until completion","Message persistence adds ~50-100ms per message due to SQLite writes","No built-in message encryption — conversation history is stored in plaintext on disk","Search functionality is basic substring matching, not semantic search"],"requires":["Tauri v2 with event system enabled","SQLite 3.x (bundled with tauri_plugin_store)","Agent CLI that supports streaming output (most modern LLM CLIs do)"],"input_types":["user text prompt (text)","agent stdout stream (text, real-time)"],"output_types":["streamed agent response tokens (text, real-time)","persisted message objects (JSON, stored in SQLite)","conversation history (JSON array)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_3","uri":"capability://planning.reasoning.plan.mode.agent.execution.with.step.by.step.reasoning","name":"plan-mode agent execution with step-by-step reasoning","description":"Commander includes a 'Plan Mode' that instructs agents to break down coding tasks into discrete steps before execution. The frontend sends a special prompt prefix to agents (e.g., 'First, analyze the problem. Then, outline your approach. Finally, implement the solution.') and the backend parses agent responses to identify and display each step separately in the UI. This allows users to review and approve the agent's reasoning before it proceeds to code generation.","intents":["I want to see the agent's step-by-step plan before it generates code, so I can catch mistakes early","I need to understand the agent's reasoning for architectural decisions in complex refactoring tasks","I want to pause execution between planning and implementation to provide feedback"],"best_for":["developers working on complex architectural changes who want agent transparency","teams with code review processes that require understanding AI reasoning","users learning from AI agents and wanting to see their problem-solving approach"],"limitations":["Plan mode adds 20-40% latency because agents must generate reasoning before code","Not all agents support structured step-by-step output — some may ignore the plan prefix","Parsing agent responses to extract steps is heuristic-based and may fail for unusual formatting","No built-in approval workflow — pausing between steps requires manual user action"],"requires":["Agent CLI that supports instruction-following (Claude, Gemini, and most modern LLMs do)","Plan Mode toggle enabled in Chat Settings"],"input_types":["user task description (text)","plan mode prompt prefix (text, auto-generated)"],"output_types":["structured plan steps (parsed from agent response, JSON array)","reasoning text per step (text)","final code implementation (text)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_4","uri":"capability://code.generation.editing.code.viewing.and.syntax.highlighted.diff.visualization","name":"code viewing and syntax-highlighted diff visualization","description":"Commander provides a CodeView component that displays code files with syntax highlighting (via prism-react-renderer) and a HistoryView component that visualizes git diffs with side-by-side comparison. The backend exposes file system operations to read code files, and the frontend renders them with language-specific syntax highlighting. The Diff Viewer integrates git diff output and displays additions/deletions with color-coded line highlighting, allowing users to understand changes proposed by agents or committed to the repository.","intents":["I want to see the code files that the agent is modifying, with syntax highlighting for readability","I need to review the diff between my current code and the agent's proposed changes before applying them","I want to browse the repository structure and view file contents without leaving Commander"],"best_for":["developers who want an integrated code review experience without switching to an editor","teams reviewing AI-generated code changes in a unified interface","users on slow machines who want a lightweight code viewer (vs opening VS Code)"],"limitations":["Code viewing is read-only — users cannot edit files directly in Commander (must use external editor)","Syntax highlighting is limited to languages supported by Prism (100+ languages, but not all)","Large files (>10MB) may cause performance issues due to DOM rendering overhead","Diff viewer shows unified diff format only — no 3-way merge or conflict resolution"],"requires":["File system read permissions for project files","Git repository for diff visualization (optional for code viewing)"],"input_types":["file path (text)","file content (text)","git diff output (unified diff format)"],"output_types":["syntax-highlighted code (HTML/React components)","diff visualization with line numbers (HTML/React components)","file metadata (JSON)"],"categories":["code-generation-editing","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_5","uri":"capability://automation.workflow.project.initialization.and.recent.project.management","name":"project initialization and recent project management","description":"Commander provides a project management system that allows users to initialize new projects or open existing Git repositories through a CLI project opener. The backend stores recently opened projects in tauri_plugin_store and displays them in the sidebar for quick access. When a project is opened, Commander loads the repository path, initializes the Git context, and populates the File Explorer with the repository structure. This enables users to switch between multiple projects without manually navigating file systems.","intents":["I want to quickly switch between multiple projects I'm working on without navigating the file system","I need to initialize a new project and start using Commander immediately","I want to see a list of my recent projects and open them with one click"],"best_for":["developers managing multiple repositories or projects simultaneously","teams with standardized project structures who want quick project onboarding","users who frequently switch between projects and want to minimize context-switching overhead"],"limitations":["Project list is local to the machine — not synced across devices","No built-in project templates or scaffolding — users must create projects manually or via external tools","Recent projects list has no configurable limit — may become unwieldy with 100+ projects","No project-level settings or configuration — all settings are global to the application"],"requires":["Valid file system path to a Git repository","Read/write permissions on the project directory"],"input_types":["project path (text)","repository URL (text, for cloning)"],"output_types":["project metadata (JSON: path, name, last opened)","recent projects list (JSON array)","file explorer tree (JSON)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_6","uri":"capability://search.retrieval.file.explorer.with.repository.structure.navigation","name":"file explorer with repository structure navigation","description":"Commander includes a File Explorer component that displays the repository directory tree, allowing users to browse and select files for viewing or agent context. The backend exposes file system operations (via tauri_plugin_dialog and std::fs) to read directory structures and file metadata. The frontend renders the tree as an interactive component with expand/collapse functionality, and clicking a file loads its content into the CodeView component. This enables users to navigate large repositories without leaving Commander.","intents":["I want to browse the repository structure and understand the project layout","I need to select specific files to show the agent for context or review","I want to quickly jump to a file without using the command palette or file picker"],"best_for":["developers exploring unfamiliar codebases","teams onboarding new developers who need to understand project structure","users who prefer visual file browsing over command-line navigation"],"limitations":["File explorer does not support search or filtering — users must manually navigate the tree","Large repositories (10,000+ files) may cause performance issues due to DOM rendering","No support for custom file icons or grouping by file type","File operations are read-only — users cannot create, delete, or rename files in Commander"],"requires":["Valid Git repository with readable file system permissions","Project loaded in Commander"],"input_types":["repository path (text)"],"output_types":["directory tree (JSON, nested structure)","file metadata (JSON: path, size, modified date)","file content (text, when file is selected)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_7","uri":"capability://automation.workflow.settings.persistence.and.agent.configuration.management","name":"settings persistence and agent configuration management","description":"Commander provides a Settings Modal that allows users to configure application behavior, code editor preferences, chat settings, and agent credentials. The backend uses tauri_plugin_store to persist settings as JSON in a local configuration file. Settings are organized into categories (Application Settings, Code Editor Settings, Chat Settings) and are loaded on app startup. This enables users to customize Commander's behavior without editing configuration files manually.","intents":["I want to configure my preferred code editor settings (font size, theme, indentation) in one place","I need to store API keys for multiple LLM providers securely","I want to customize chat behavior (e.g., default agent, streaming enabled/disabled)"],"best_for":["developers who want to customize their development environment","teams with standardized tool configurations who want to enforce settings","users managing multiple API keys for different LLM providers"],"limitations":["Settings are stored in plaintext JSON — API keys are not encrypted","No settings sync across devices — each machine has its own configuration","No settings validation or schema enforcement — invalid settings may cause runtime errors","Settings changes require app restart for some options (e.g., theme changes)"],"requires":["Write permissions on the application configuration directory","Tauri v2 with tauri_plugin_store enabled"],"input_types":["setting key-value pairs (JSON)","API keys (text)","editor preferences (JSON)"],"output_types":["persisted settings (JSON file)","settings object (JSON, loaded on app startup)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_8","uri":"capability://search.retrieval.git.history.visualization.and.commit.log.browsing","name":"git history visualization and commit log browsing","description":"Commander provides a HistoryView component that displays the git commit history as a timeline or list, allowing users to browse commits, view commit metadata (author, date, message), and inspect diffs for individual commits. The backend executes git log commands (via tauri_plugin_shell) to fetch commit history and git show to retrieve commit details. The frontend renders the history as an interactive list where clicking a commit displays its diff in the Diff Viewer. This enables users to understand the repository's evolution without leaving Commander.","intents":["I want to see the commit history for a file or branch to understand how it evolved","I need to review a specific commit's changes to understand the context for a bug or feature","I want to find when a particular change was introduced (git blame equivalent)"],"best_for":["developers investigating code history and understanding past decisions","teams conducting code reviews and needing to understand the context of changes","users debugging issues by tracing changes back to their origin"],"limitations":["History view shows commits for the current branch only — no cross-branch history comparison","Large repositories with deep history (10,000+ commits) may load slowly","No built-in search or filtering by author, date, or message","Commit diff display is limited to unified diff format — no 3-way merge or conflict visualization"],"requires":["Git 2.20+ installed and accessible in PATH","Valid Git repository with commit history","Read permissions on .git directory"],"input_types":["branch name (text)","file path (text, optional for file-specific history)","commit range (text, optional)"],"output_types":["commit list (JSON array with metadata)","commit diff (unified diff format)","commit metadata (JSON: hash, author, date, message)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-autohandai--commander__cap_9","uri":"capability://text.generation.language.autocomplete.system.for.chat.input.with.command.suggestions","name":"autocomplete system for chat input with command suggestions","description":"Commander includes an Autocomplete System in the ChatInput component that provides suggestions as users type. The system recognizes special commands (e.g., '@file' to reference files, '@branch' to reference git branches) and displays matching suggestions in a dropdown. The backend provides suggestions by querying the file explorer, git branches, and recent prompts. When a user selects a suggestion, it's inserted into the chat input, reducing the need for manual typing and enabling faster interaction with agents.","intents":["I want to quickly reference files in my prompts without typing full paths","I need to reference git branches or commits in my prompts without memorizing names","I want to reuse previous prompts or similar prompts from history"],"best_for":["developers who want faster chat input through autocomplete","teams with long file paths or complex branch naming schemes","users who frequently reference the same files or branches"],"limitations":["Autocomplete is limited to predefined command prefixes (@file, @branch, etc.) — no semantic autocomplete","Suggestions are generated on-demand, adding 50-100ms latency per keystroke","No learning or personalization — suggestions are based on static rules, not user history","Autocomplete dropdown may obscure chat input on small screens"],"requires":["Project loaded in Commander","Git repository for branch suggestions"],"input_types":["user text input (text, real-time as user types)","command prefix (text, e.g., '@file')"],"output_types":["suggestion list (JSON array)","selected suggestion (text, inserted into input)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":33,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+ and Rust toolchain for building from source","At least one AI agent CLI installed (Claude Code CLI, Codex, Gemini CLI, or Ollama)","API keys for cloud-based agents (Claude, Gemini, OpenAI) stored in environment or Commander settings","Tauri v2 runtime (bundled in prebuilt binaries)","Git 2.20+ installed and accessible in system PATH","Project must be a valid Git repository (initialized with git init or cloned)","User must have read permissions on .git directory","Tauri v2 with event system and storage plugin enabled","Tauri v2 with IPC enabled","Rust backend compiled and running"],"failure_modes":["Agent execution is sequential, not parallel — only one agent can run per invocation","No built-in fallback or retry logic if an agent CLI is unavailable or crashes","Agent output formatting varies by provider; Commander does not normalize responses","Requires each agent CLI to be installed locally and accessible in PATH","Only works with Git repositories — non-Git projects cannot access history or diff context","Git command execution adds latency (typically 100-500ms per git operation) before agent invocation","Large repositories with deep history may timeout if git log or diff operations are expensive","Requires git CLI to be installed and accessible in PATH","Session switching adds context-switching overhead — users must manually switch between sessions","No built-in session merging or consolidation — users cannot combine conversations","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.15484133121184895,"quality":0.35,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:21.549Z","last_scraped_at":"2026-05-03T13:57:13.678Z","last_commit":"2026-03-18T02:57:48Z"},"community":{"stars":72,"forks":8,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=autohandai--commander","compare_url":"https://unfragile.ai/compare?artifact=autohandai--commander"}},"signature":"YZBw9HcQFCCqQSiKoonlJmL/XcCFtNnilH1d0EBz/cuceQ/5/ywSqq5zFK3ue/7b9A1T+CsE0ZwPUNHTg5r9BA==","signedAt":"2026-06-19T22:34:01.853Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/autohandai--commander","artifact":"https://unfragile.ai/autohandai--commander","verify":"https://unfragile.ai/api/v1/verify?slug=autohandai--commander","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"}}