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maxtechera/README.md

Hi, I'm Max πŸ‘‹

πŸ“ Montevideo, Uruguay | πŸ€– Autonomous agent builder | πŸš€ Shipping in public

Python TypeScript Claude OpenClaw Railway CLI

I build the infrastructure layer for autonomous agents β€” dispatch, memory, credentials, and everything you need before you ship.

Current Projects

  • πŸ’§ hushdrop β€” Drop anything, share it with who you want, on your own domain. Open-source, zero-knowledge artifact sharing (CLI + MCP + a Claude.ai/ChatGPT connector) for any AI agent. npx hushdrop Β· hushdrop.dev
  • 🎯 orchestrator β€” Dispatch agents, verify every deliverable, improve with every cycle. Your ticket board becomes an autonomous workforce. clawhub install orchestrator
  • 🧠 memory β€” Cross-platform memory for AI agents. 3-tier HOT/WARM/COLD architecture, Obsidian vault sync, session hooks. Your agents remember. clawhub install memory
  • πŸš€ ship β€” Credentials preflight + GTM pipeline. Health-check 30+ CLIs and API tokens before you deploy. /plugin marketplace add maxtechera/ship
  • πŸ”Œ claude-plugins β€” Focused Claude Code plugins: code review, content creation, feature dev, and more. /plugin marketplace add maxtechera/claude-plugins
  • πŸ› οΈ skills β€” Open-source agent skills for Claude Code, OpenClaw, Gemini CLI, and Codex.
  • βš“ admirarr β€” Command your *Arr fleet. Zero-dependency CLI for Plex + Radarr + Sonarr + Prowlarr + qBittorrent.

Open Source Contributions

  • 🧬 theanswer (AnswerAI) β€” Co-founder and lead engineer on a drag-and-drop LLM flow builder used in production at enterprise scale. TypeScript, agent orchestration, multi-tenant runtime.
  • πŸ—οΈ lastrev-libraries β€” Core author of the Next.js + Contentful framework powering production marketing sites for enterprise SaaS clients. TypeScript, GraphQL, design-system-driven rendering.

What I'm Doing

  • Building agent infrastructure in public β€” orchestrator, memory, and ship are the core stack I run every day
  • Pushing agents toward reliability β€” the hard part isn't prompting, it's verification. The agent that did the work should never grade its own homework
  • Everything as a text file β€” no DSLs, no wrappers, no frameworks. Just prompts, Python, and bash that agents can read and follow
  • Rapid shipping β€” full deployable skills in hours, not weeks

GitHub Activity

GitHub Contribution Graph

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Philosophy

"Everything is a text file agents read and follow. The simpler the interface, the farther the agent gets."

Random Facts
  • Run 4-6 Claude instances concurrently most days
  • Believe verification matters more than generation
  • Powered by Montevideo mate and coastal mornings
  • Building toward the fully autonomous product team

Pinned Loading

  1. hushdrop hushdrop Public

    Hushdrop β€” drop anything, share it with who you want, on your own domain. Open-source, self-hostable artifact sharing (CLI + MCP) with zero-knowledge AES-256, from any AI agent.

    JavaScript 5

  2. memory memory Public

    Cross-platform memory for AI agents. 3-tier architecture, Obsidian vault sync, session hooks, weekly dream cycle.

    Shell 2 1

  3. orchestrator orchestrator Public

    Verified AI-agent workflow orchestrator for Claude Code. Dispatch workers, run independent checks, ship only what passes.

    HTML 2 1

  4. ship ship Public

    End-to-end GTM pipeline + credentials preflight. Opensource Claude Code skill.

    Python 2 1