Digital Crew — Luminous Protocol
Autonomous agents that analyze, architect, and pitch.
What it does
Most founders guess where their funnel leaks. Digital Crew is an autonomous protocol that turns that guessing game into a systematic advantage. Simply drop a target URL, and our agents scan, detect conversion flaws, calculate the ROI, and draft the winning pitch. We replace hours of manual auditing with agentic intelligence. Deploy the crew, deconstruct your competition's weaknesses, and scale with precision
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CrewAI AMP - Agent Management PlatformOct 2025 · ▲29Orchestrate AI agents with trust, scale & simplicity
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Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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My brother and I built Crew, a way for us to build things together (with our agents). It's fully open source, runs locally on your computer and uses the agent CLIs you already have installed. Feel free to try it out, we had a lot of fun building it!
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Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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