asklog

Product Introduction

1. Definition: asklog is a multi-platform desktop and mobile application that functions as a secure orchestration and remote access layer for AI-powered coding agents (like Claude Code and Codex) and terminal sessions running on a user's personal computers. It is technically categorized as a local agent management and remote access platform.
2. Core Value Proposition: It exists to decouple the execution of coding agents from physical presence, enabling developers to initiate complex coding tasks on their powerful desktop machines and then monitor, interact with, and direct those long-running AI agents remotely from a mobile device or another computer, all without configuring SSH or VPNs. Its core value is seamless, secure remote management of local AI coding workflows.

Main Features

1. Multi-Machine, Multi-Agent Workspace: The asklog desktop app aggregates all coding sessions (Claude Code, Codex, Terminal) from every computer signed into your account into a single dashboard. How it works: A lightweight client runs on each Mac, Windows, or Linux machine, registering the machine and its active sessions with asklog's coordination server (using encrypted metadata only). The user interface then displays a unified list of machines and their respective live sessions, allowing you to switch context between different projects and agents instantly.
2. Mobile-Centric Remote Control: The companion iOS app provides full read/write access to active agent sessions on remote machines. How it works: After an agent is started on a desktop, its full conversational output (including code diffs) is streamed via an end-to-end encrypted channel to the mobile app. Users can review progress and submit the next natural language instruction, which is routed back to the exact same agent process on the host computer, maintaining session state continuity.
3. Chief - AI Task Orchestrator (Pro Feature): Chief is a meta-agent that decomposes high-level objectives into discrete tasks and autonomously manages subordinate coding agents. How it works: The user gives Chief a single, complex job description. Chief uses its own logic (likely leveraging a configured AI model) to create a plan, spin up dedicated Claude Code or Codex workers—each in an isolated copy of the target code repository—and coordinates their efforts. It presents decisions and results to the user for final authorization before any merge, enabling parallel, supervised autonomous coding.

Problems Solved

1. Pain Point: The inability to manage long-running AI coding sessions remotely. Traditional setups tie the developer to their desk while an AI agent processes a task. If you need to step away or prefer to review work from a different device, you lose direct interaction and oversight.
2. Target Audience: Software engineers, indie hackers, and technical leads who actively use AI coding assistants (Claude Code, Codex, GPT Engineer, etc.) for substantial development work, refactoring, or testing. It's particularly valuable for developers using multiple physical machines (e.g., a desktop, a laptop, a cloud instance) and those who value mobile productivity.
3. Use Cases: 1) Continuing work on-the-go: Starting a major refactor with Claude Code on your office desktop, then reviewing the generated diff and providing the next prompt while commuting via iPhone. 2) Multi-repo parallel work: Using Chief to coordinate several agents simultaneously working on different modules or repositories across your machines. 3) Monitoring background tasks: Leaving a Codex agent running a test suite generation on a Linux server and checking its progress periodically from your iPad.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):

   • Pros: Exceptional focus on privacy and data locality—your code, terminal output, and AI conversations never leave your machines. Zero-configuration connectivity eliminates SSH/VPN hassle. The unified multi-machine view is a unique organizational advantage. The "Chief" orchestrator addresses the next-level problem of multi-agent coordination.
   • Cons: Host machine dependency—the desktop running the agents must remain powered on and online, creating a single point of failure for remote access. Limited to 3 machines for external network access on one account may constrain some workflows. It is a layer on top of existing AI services (requires your own Claude/OpenAI subscriptions) and does not provide the AI models itself.

2. Key Alternatives & Differentiation:

   • Traditional SSH + Tmux/Screen: The classic alternative. asklog differentiates by providing a modern, mobile-friendly GUI, no network configuration, and built-in integration with AI agent UIs, which plain terminal multiplexing lacks.
   • VS Code Remote - SSH: Provides full IDE access. asklog is lighter, agent-centric rather than editor-centric, and offers the unique multi-machine session dashboard and the Chief orchestrator, which VS Code does not.
   • Cloud-Based AI Development Platforms (e.g., GitHub Codespaces, Replit): These run your code and agents in the cloud. asklog's fundamental differentiation is the opposite philosophy: your tools and code remain on your local hardware, offering greater control, privacy, and potentially lower latency for local operations.

Frequently Asked Questions (FAQ)

1. Is asklog a cloud-based AI coding tool? No, asklog is not a cloud AI tool. It is a connectivity and management platform that allows you to remotely access and control AI coding agents (like Claude Code and Codex) that are running locally on your own physical computers. Your code and AI sessions never run on asklog's servers.
2. How does asklog ensure the security of my code and data? asklog uses end-to-end encryption for all session data in transit. Crucially, your terminal output, code, and AI conversation history are not stored on asklog's servers; they remain solely on the host machine where the agent is running. You maintain full data sovereignty.
3. Can I use asklog with AI agents other than Claude Code and Codex? Yes, for basic terminal output streaming. However, advanced features like the integrated chat view and structured interaction are optimized for Claude Code and Codex. Other command-line AI tools can be run within asklog's terminal session feature.
4. What happens if my computer goes to sleep or loses internet connection? The active AI agent sessions on that computer will pause or become unreachable. To maintain remote access, the host computer must be kept awake (preventing sleep) and connected to a stable internet connection. The sessions themselves persist and can be resumed upon reconnection.
5. Do I need a separate subscription for the AI models used with asklog? Yes. asklog provides the orchestration and remote access platform. You must supply and configure your own API credentials or licenses for Claude Code, Codex, or any other AI service you intend to use within the application.