Clawdia 7.1

AI-powered desktop workspace with multi-provider chat, an embedded browser, terminal emulator, and full OS-level tool access. Built on Electron with a React/TypeScript frontend and a modular agent backend.

Integrates Claude Code and OpenAI Codex as first-class execution engines — each running as a managed subprocess with session persistence, MCP tool bridging, and a concurrent execution mode that runs both in parallel with AI-powered synthesis.

Features

• Multi-provider LLM chat — switch between Anthropic (Claude), OpenAI (GPT), and Google Gemini models on the fly
• Claude Code integration — spawn the Claude Code CLI as a managed subprocess with streaming JSON output, session resumption, and full MCP tool access to Clawdia's browser, desktop, and DBus capabilities
• Codex integration — spawn OpenAI's Codex CLI with thread persistence, activity tracking, and MCP bridging for Clawdia's tool suite
• Concurrent execution — run Claude Code and Codex in parallel against the same task using a Planner -> Workers -> Synthesizer pipeline with dependency-aware scheduling
• MCP bridge — HTTP-based Model Context Protocol server that exposes Clawdia's 19+ browser tools, GUI automation, and DBus control to external CLI agents
• Embedded Chromium browser — browse the web inside the app with file preview, review, and publish modes
• Integrated terminal — PTY-backed terminal sessions with spawn, write, resize, and multiplexing
• OS-level tool system — real shell execution, file I/O, GUI automation (AT-SPI / xdotool), and DBus control
• Agent framework — classify-dispatch loop with prompt building, recovery guidance, spending budgets, and policy enforcement
• Executor system — pluggable executor registry with routing, configuration, concurrency policies, and runtime state tracking
• Skills & superpowers — declarative skill definitions (code review, browser grounding, repo audit, coding execution) matched to messages at runtime
• Conversation management — tabbed conversations with independent message history, streaming, and run state
• Desktop automation — accessibility tree inspection, screenshot capture, smart focus, and screen mapping
• Memory system — SQLite-backed memory store and search for persistent context across sessions
• Files drawer — quick-access directory browser with search
• Monaco editor — embedded code editor panel

Claude Code Integration

Clawdia spawns the Claude Code CLI (claude) as a managed subprocess, giving you a full agentic coding environment inside the app.

How It Works

User message (mode: claude_terminal)
    │
    ▼
ChatIpc routes to claudeCode executor
    │
    ▼
claudeCodeClient.ts spawns:
  claude --output-format stream-json \
         --resume <session_id> \
         --mcp-config <clawdia-mcp-config.json> \
         --permission-mode <acceptEdits|bypassPermissions>
    │
    ▼
Streaming JSON parsed → text chunks, tool activities, session ID
    │
    ▼
Session ID persisted in DB → resumed on next message

Key Capabilities

Implementation Files

• src/main/claudeCodeClient.ts — subprocess management, JSON stream parsing, session handling (386 lines)
• src/main/mcpBridge.ts — MCP server that Claude Code connects to (657 lines)
• src/main/ipc/ChatIpc.ts — routing and IPC integration
• tests/main/claudeCodeClient.test.ts — unit tests

Codex Integration

Clawdia spawns OpenAI Codex CLI (codex) as a managed subprocess for code generation and editing tasks.

How It Works

User message (mode: codex_terminal)
    │
    ▼
ChatIpc routes to codex executor
    │
    ▼
codexCliClient.ts spawns:
  codex --json \
        -c mcp_servers.clawdia.url="http://127.0.0.1:<port>/mcp/<token>"
    │
    ▼
JSON streaming parsed → text chunks, activity events (started/completed/failed)
    │
    ▼
Thread ID persisted in DB → resumed on next message

Key Capabilities

Implementation Files

• src/main/codexCliClient.ts — subprocess management, JSON parsing, thread handling (278 lines)
• src/main/mcpBridge.ts — shared MCP server
• src/main/ipc/ChatIpc.ts — routing and IPC integration
• tests/main/codexCliClient.test.ts — unit tests

Concurrent Execution

The concurrent executor runs Claude Code and Codex in parallel against the same task, then synthesizes their outputs into a single coherent response.

Three-Phase Pipeline

┌──────────────────────────────────────────────────────────────┐
│  Phase 1: PLANNER                                            │
│  ┌────────────────────────────────────────────────────────┐  │
│  │  agentLoop (1 iteration)                               │  │
│  │  → Analyzes task                                       │  │
│  │  → Produces JSON plan: subtasks + dependencies          │  │
│  │  → Assigns each subtask to claudeCode or codex         │  │
│  └────────────────────────────────────────────────────────┘  │
│                           │                                  │
│  Phase 2: WORKERS (topological execution)                    │
│  ┌─────────────────┐   ┌─────────────────┐                  │
│  │  Claude Code     │   │  Codex           │                 │
│  │  subtask t1      │   │  subtask t2      │  ← parallel    │
│  │  (multi-file     │   │  (focused code   │                 │
│  │   editing)       │   │   generation)    │                 │
│  └────────┬────────┘   └────────┬────────┘                  │
│           │                      │                           │
│           ├──── dependsOn[] ─────┤                           │
│           │                      │                           │
│  ┌────────▼────────────────────▼────────┐                   │
│  │  subtask t3 (depends on t1 + t2)     │  ← sequential    │
│  └──────────────────────────────────────┘                   │
│                           │                                  │
│  Phase 3: SYNTHESIZER                                        │
│  ┌────────────────────────────────────────────────────────┐  │
│  │  agentLoop (1 iteration)                               │  │
│  │  → Merges all worker outputs                           │  │
│  │  → Eliminates redundancy                               │  │
│  │  → Resolves conflicts (prefers more complete version)  │  │
│  └────────────────────────────────────────────────────────┘  │
└──────────────────────────────────────────────────────────────┘

Plan Schema

The planner produces structured JSON that drives execution:

{
  "goal": "one-line summary of the overall task",
  "subtasks": [
    {
      "id": "t1",
      "executor": "claudeCode",
      "label": "Refactor auth module",
      "prompt": "full self-contained instruction for this executor",
      "dependsOn": []
    },
    {
      "id": "t2",
      "executor": "codex",
      "label": "Generate test suite",
      "prompt": "full self-contained instruction for this executor",
      "dependsOn": ["t1"]
    }
  ],
  "synthesisHint": "Merge the refactored code with the new tests"
}

Strategies

Configuration

// ~/.config/clawdia7/clawdia-settings.json → executorConfigs.concurrent
{
  "enabled": true,
  "strategy": "parallel",
  "synthesize": true,
  "timeoutMs": 300000
}

Implementation Files

• src/main/core/executors/ConcurrentExecutor.ts — planner, topological worker runner, synthesizer (559 lines)
• src/main/ipc/ChatIpc.ts — concurrent state broadcasting

MCP Bridge

Clawdia runs an HTTP-based Model Context Protocol server that exposes its tools to external CLI agents (Claude Code, Codex, or any MCP-compatible client).

Exposed Tools

How It Connects

                     ┌─────────────────────┐
                     │   Clawdia App        │
                     │                     │
  Claude Code ──────▶│  HTTP MCP Server    │──▶ ElectronBrowserService
  (subprocess)       │  127.0.0.1:<port>   │──▶ GUI Executor
                     │  /mcp/<token>       │──▶ DBus Controller
  Codex ────────────▶│                     │
  (subprocess)       └─────────────────────┘

  Config delivery:
    Claude Code → temp JSON file (~/.tmp/clawdia-claude-mcp-*.json)
    Codex       → CLI args (-c mcp_servers.clawdia.url="...")

Per-Conversation Isolation

Each conversation gets its own MCP token and config path. Sessions are isolated — Claude Code running in one conversation tab cannot interfere with Codex running in another.

Implementation Files

• src/main/mcpBridge.ts — HTTP server, MCP tool registration, per-conversation config generation (657 lines)

Executor System

All execution engines are managed through a unified executor registry with routing, configuration, and runtime state tracking.

Registered Executors

Conversation Mode Routing

User sends message
    │
    ▼
ChatIpc reads conversation.mode from DB
    │
    ▼
ExecutorRouter.routeExecutor(mode)
    ├── 'chat'            → agentLoop
    ├── 'claude_terminal'  → claudeCode
    ├── 'codex_terminal'   → codex
    └── 'concurrent'       → concurrent
    │
    ▼
Concurrency enforcement: exclusive (one run per conversation)
    │
    ▼
Executor spawned with task tracking, run registration, abort signal

Executor Configuration

Each executor has a typed config stored in ~/.config/clawdia7/clawdia-settings.json:

{
  "executorConfigs": {
    "agentLoop": {
      "enabled": true,
      "pipelineEnabled": true,
      "maxSessionTurns": 20,
      "maxMappingSessionTurns": 6,
      "timeoutMs": 0
    },
    "claudeCode": {
      "enabled": true,
      "resumeSession": true,
      "skipPermissions": false,
      "timeoutMs": 0
    },
    "codex": {
      "enabled": true,
      "resumeThread": true,
      "timeoutMs": 0
    },
    "concurrent": {
      "enabled": false,
      "strategy": "parallel",
      "synthesize": true,
      "timeoutMs": 300000
    }
  }
}

Implementation Files

• src/main/core/executors/ExecutorRegistry.ts — executor definitions and capability metadata
• src/main/core/executors/ExecutorRouter.ts — routing, concurrency policy, runtime state
• src/main/core/executors/ExecutorConfigStore.ts — per-executor configuration with typed schemas
• src/main/core/executors/ChatExecutor.ts — multi-turn agent loop executor with event system
• src/main/core/executors/ConcurrentExecutor.ts — three-phase parallel execution

Architecture

src/
  main/                         # Electron main process
    agent/                      # Agent loop, classify, dispatch, prompt building
      agentLoop.ts              # Core agent execution loop
      classify.ts               # Intent classification
      dispatch.ts               # Tool dispatch
      promptBuilder.ts          # System prompt construction
      policy-engine.ts          # Policy enforcement
      recoveryGuidance.ts       # Error recovery strategies
      spending-budget.ts        # Token/cost budget tracking
    core/
      browser/                  # Embedded Chromium browser service
      cli/                      # Shell, file, browser, memory, workspace tools
        shellTools.ts           # File + shell tool definitions
        browserTools.ts         # Browser control tools
        selfAwareTools.ts       # Agent introspection tools
        workspaceTools.ts       # Workspace-level queries
        toolRegistry.ts         # Central tool registry
      desktop/                  # GUI automation (AT-SPI, xdotool, DBus)
        a11y.ts                 # Accessibility tree inspection
        screenshot.ts           # Screen capture
        guiExecutor.ts          # GUI action executor
        dbus.ts                 # DBus service control
      terminal/                 # PTY terminal session controller
      executors/                # Executor system
        ExecutorRegistry.ts     # Executor definitions + capabilities
        ExecutorRouter.ts       # Routing + concurrency policy
        ExecutorConfigStore.ts  # Typed per-executor configuration
        ChatExecutor.ts         # Multi-turn agent loop executor
        ConcurrentExecutor.ts   # Planner → Workers → Synthesizer
      providers/                # LLM provider adapters
        anthropicMessageProtocol.ts
        openAIMessageProtocol.ts
        geminiMessageProtocol.ts
        ProviderClient.ts       # Unified provider interface
    claudeCodeClient.ts         # Claude Code CLI subprocess manager
    codexCliClient.ts           # Codex CLI subprocess manager
    mcpBridge.ts                # MCP HTTP server for tool bridging
    db.ts                       # SQLite initialization
    main.ts                     # Electron entry point
    registerIpc.ts              # IPC channel registration
    settingsStore.ts            # Settings read/write
    skills/                     # Skill system
      skillSystem.ts            # Skill parsing + matching
      promptComposition.ts      # Prompt building with matched skills

  renderer/                     # React frontend
    components/
      AppChrome.tsx             # Top bar (clock, VPN, window controls)
      ChatPanel.tsx             # Message history + streaming display
      InputBar.tsx              # Text input, model selector, send button
      TabStrip.tsx              # Conversation tab management
      BrowserPanel.tsx          # Embedded browser view
      TerminalPanel.tsx         # Terminal emulator UI
      EditorPanel.tsx           # Monaco code editor
      SettingsView.tsx          # Settings configuration
      ToolActivity.tsx          # Inline tool execution cards
      Sidebar.tsx               # Navigation sidebar
      RightFilesDrawer.tsx      # File browser drawer
      AgentSidebar.tsx          # Agent configuration panel
      SplitExecutionView.tsx    # Concurrent execution split view
      WelcomeScreen.tsx         # Landing screen
    App.tsx                     # Root renderer component

  shared/                       # Shared between main + renderer
    model-registry.ts           # Provider + model definitions (19+ models)
    types.ts                    # Shared type definitions

system/                         # Capability definitions (runtime)
  context.md                    # Environment grounding
  contracts/                    # Task completion contracts
  domains/                      # Domain-specific guidance
  recovery/                     # Recovery strategies
  registry/                     # Tool/capability registry + superpowers.json
  tasks/                        # Task type definitions

agents/                         # Agent presets (code-reviewer, developer-assistant)
contracts/                      # Completion contracts
domains/                        # Domain guidance (browser, coding, desktop, filesystem)
skills/                         # Skill definitions
  browser-grounding/            # Web navigation grounding
  code-review/                  # Security, performance, test review
  coding-execution/             # Code reading + verification
  repo-audit/                   # Architecture + drift auditing
prompts/                        # System prompts, templates, few-shot examples

Tech Stack

Prerequisites

• Node.js >= 20.0.0
• npm (comes with Node.js)
• Linux (x86_64) — primary target platform
• System dependencies for native modules: python3, make, g++
• For desktop automation: AT-SPI2 and xdotool

For Claude Code executor

• Claude Code CLI installed and on PATH (claude)
• Anthropic API key configured in Clawdia settings

For Codex executor

• OpenAI Codex CLI installed and on PATH (codex)
• OpenAI API key configured in Clawdia settings

For Concurrent executor

• Both Claude Code and Codex CLIs installed
• Both API keys configured

Getting Started

# Clone the repository
git clone https://github.com/chillysbabybackribs/Clawdia7.1.git
cd Clawdia7.1

# Install dependencies (automatically rebuilds native modules)
npm install

# Run in development mode (with hot reload)
npm run dev

# Or run a stable build
npm run safe-dev

Scripts

Configuration

Settings are stored at ~/.config/clawdia7/clawdia-settings.json and include:

• Provider selection — choose between anthropic, openai, or gemini
• Model selection — pick a specific model from the active provider
• API keys — per-provider API key configuration
• Executor configs — per-executor enable/disable, timeouts, strategy, session resumption
• Unrestricted mode — bypasses permission prompts for Claude Code

Providers

Clawdia supports three LLM providers out of the box:

• Anthropic — Claude models (default)
• OpenAI — GPT models
• Google Gemini — Gemini models

Switch providers and models at runtime via the model selector in the input bar.

Tool System

Tools are real OS-level operations, not simulated:

• Shell — spawn child processes, execute commands
• File — read, write, edit files and directories
• Browser — control the embedded Chromium browser (navigate, click, extract, screenshot)
• Desktop — GUI automation via AT-SPI accessibility tree and xdotool
• DBus — control system services (media players, notifications, etc.)
• Memory — persistent SQLite-backed memory store and search
• Workspace — project-level queries and state inspection

All tool calls flow through IPC: renderer -> preload -> main process -> tool executor.

External CLI agents (Claude Code, Codex) access these tools via the MCP bridge HTTP server.

Database Schema

Key conversation columns for executor integration:

License

MIT

Author

Daniel Parker (@chillysbabybackribs)