The family.
Trading Agents Lab is one of several.
Trading Agents Lab is published by RBJ Global, an independent software studio. The same operator ships a small portfolio of single-purpose tools, each on its own domain, each with its own roadmap. What ties them together is a single posture: the user's data stays on the user's device. No analytics beacons, no cloud transcripts of your prompts, no telemetry phoning home. If that posture matters to you on a research framework, it probably matters to you on a dictation app, a document converter, or an AI literacy library too.
RBJ Global
The independent studio behind Trading Agents Lab.
The Texas-registered company that owns this codebase and ships the rest of the family. Independently funded, no outside investors, no acquisition pressure to dilute the on-device posture that makes Trading Agents Lab viable as an open-source research tool in a regulated domain.
If you're evaluating who actually stands behind this AGPL-3.0 framework, where to direct a responsible-disclosure report, or how to verify the privacy claims independently, the corporate page is where those answers live, with names, an entity number, and a published security policy.
Clawless
Desktop AI workspace, optional connector for this app.
An on-device workspace for working with LLMs, models, and agents on macOS or Ubuntu. Trading Agents Lab can route its analyst, researcher, trader, and risk-manager calls through Clawless when present, which means the same LLM-provider credentials and the same OS-keychain discipline carry over between the two surfaces.
Trading Agents Lab is positioned as the standalone trading companion for Clawless. The connection is optional. You can run this app with your own OpenAI, Anthropic, OpenRouter, Gemini, xAI Grok, MiniMax, or local Ollama keys and never touch Clawless. The connector is there if you want one place to manage on-device AI work.
iLoveMD
Browser document converter, nothing uploaded.
A static, browser-only converter for Markdown, PDF, DOCX, and the formats around them. Conversion runs in the tab, nothing is sent to a server. For a Trading Agents Lab user, iLoveMD is useful upstream of the debate: cleaning a research note, an analyst PDF, or a 10-K excerpt into plain text you can paste into a prompt or save into a local knowledge folder, without involving any service you don't control.
WhisprDesk
Local-only dictation for macOS.
Speech-to-text for Mac using Whisper and Parakeet models that run on the laptop, never in a vendor cloud. Sold once instead of rented, same family posture as the rest. Useful around Trading Agents Lab when you want to capture a voice note on a Diligence run, dictate a watchlist update, or talk through a research thesis without typing or trusting a transcription vendor with the audio.
Clawdemy
Free AI education library.
A free, public learning library that explains how AI actually works, written for people who don't code. Trading Agents Lab doubles as a practical case study for Clawdemy: students who want to see a real multi-agent LLM system can read this codebase alongside the lessons. The tracks on agents and on local-first AI map cleanly onto why this framework is structured the way it is.
ClaudeLink
Coordinate a team of AI coding agents.
An open-source MCP server that turns the AI coding agents you already run (Claude Code, Codex, Gemini, Goose) into one coordinated team across terminals. Each agent picks its own model. Local-first, MIT licensed, no cloud, no telemetry. Useful for a Trading Agents Lab developer who wants multiple coding agents collaborating on a debate-engine refactor or a new channel integration.
Why the family looks like this.
Every product above is single-purpose, independently brandable, and able to be picked up or put down on its own. Nothing in the portfolio depends on another piece being installed. Nothing shares a user account, because there are no user accounts. If you only ever use Trading Agents Lab and never touch the rest, that is the intended experience.
The family page exists so you can verify who else is in the portfolio, what posture they share, and where to look if you want to keep going with the same operator after this app.