Row-Bot
(formerly Thoth)
Row-Bot is a local-first desktop AI assistant for doing real work with models, memory, and tools. Its name is the operating model: Reason through messy context, Orchestrate tools and model providers, and Work inside the files, repos, workflows, and channels you choose.
It combines chat, durable memory, tool use, Agent Profiles, Goal Mode, automatic parent-led agent orchestration, profile-first workflows, Developer Studio, Designer Studio, Smart Skills, Skills Hub, Custom Tools, Plugin System v2, progressive external-tool and skill discovery, context metering and rolling compaction, provider-aware reasoning controls, messaging channels, authenticated multi-device owner access with durable trusted addresses, a native Buddy desktop overlay, managed visible-browser automation, opt-in native Computer Use, centralized conversation cleanup, realtime voice, and provider-aware model routing. Durable app data stays local by default.
For larger tasks, Row-Bot can keep a visible goal, run the thread through a focused Agent Profile, and orchestrate scoped child agents for research, review, implementation, or follow-up work. The original parent remains responsible for joining required results and answering, while durable checkpoints preserve approvals, steering, retries, stops, and recovery. Checkpoint-safe work budgets and application-wide delegation limits keep long or repetitive runs bounded and visible. Parallel writers can be assigned to distinct existing local folders as separate Developer workspaces; folder-scoped locks let those children work concurrently while preserving one writer at a time inside any shared folder. If an app restart interrupts delegation or owned shell work, Row-Bot closes unanswered tool calls without replaying them and resumes the saved parent when its required child results are ready.
Recommended Auto capability loading keeps permitted core tools directly available and searches enabled MCP, plugin, Custom Tool, and channel capabilities only when a request needs them. Enabled manual and plugin skills can be selected for the current parent or child task under the same profile, approval, workspace, and execution-budget boundaries. For long conversations, the responsive desktop composer meters the complete next model input and Row-Bot can compact complete older turns into durable untrusted reference context while preserving the newest turn and atomic tool-call/result groups. It validates the rebuilt prompt before saving and fails with an exact capacity message when the fixed prompt and tool schemas cannot fit the selected window.
Choose the model path that fits the task: local models through Ollama; provider keys for OpenAI, Anthropic, Google AI, xAI, MiniMax, OpenRouter, Atlas Cloud, Requesty, Ollama Cloud, OpenCode Zen, and OpenCode Go; subscription or OAuth sign-in for ChatGPT / Codex, Claude Subscription, and xAI Grok; or custom OpenAI-compatible endpoints such as oMLX, LM Studio, vLLM, llama.cpp, LocalAI, LiteLLM, and SGLang. Row-Bot keeps provider identity, capability labels, reasoning choices, context limits, media surfaces, and chat-only fallbacks explicit so local, hosted, subscription, and self-hosted models can sit side by side.
Row-Bot itself has no account system, no Row-Bot-hosted inference server, and no first-party telemetry pipeline. Provider calls go to the provider or endpoint you choose, and provider keys, OAuth tokens, and subscription tokens are stored in the OS credential store when available. Official Docker deployments use a separate persistent encryption-key volume and encrypted credential records instead. The optional Computer Use beta depends on Cua Driver, whose separately disclosed upstream telemetry must be accepted before Row-Bot installs or invokes it.
Download the latest installer from GitHub Releases. Windows and macOS use one-click installers. Linux has a one-line user installer.
