Link parkin’: Agor
Think Figma, but for AI coding assistants. Orchestrate Claude Code, Codex, and Gemini sessions on a multiplayer canvas. Manage git worktrees, track AI conversations, and visualize your team’s agentic work in real-time.
TL;DR: Agor is a multiplayer spatial canvas where you coordinate multiple AI coding assistants on parallel tasks, with GitHub-linked worktrees, automated workflow zones, and isolated test environments—all running simultaneously.
Picked this up from an episode of the Data Engineering Podcast featuring Max Beauchemin of Apache Airflow and Apache Superset fame. Definitely give it a listen.
In this crossover episode, Max Beauchemin explores how multiplayer, multi‑agent engineering is transforming the way individuals and teams build data and AI systems. He digs into the shifting boundary between data and AI engineering, the rise of “context as code,” and how just‑in‑time retrieval via MCP and CLIs lets agents gather what they need without bloating context windows. Max shares hard‑won practices from going “AI‑first” for most tasks, where humans focus on orchestration and taste, and the new bottlenecks that appear — code review, QA, async coordination — when execution accelerates 2–10x. He also dives deep into Agor, his open‑source agent orchestration platform: a spatial, multiplayer workspace that manages Git worktrees and live dev environments, templatizes prompts by workflow zones, supports session forking and sub‑sessions, and exposes an internal MCP so agents can schedule, monitor, and even coordinate other agents.
It’s very early days for Agor, but the UX Beauchemin described was interesting. Effectively, he hijacked Kanban cards as a frontend for agent orchestration. The claim is that Agor is great for individual users and is showing promise for teams. Also, a wide range of agentic coders are supported, including Claude Code, Codex, Gemini, and opencode. User interfaces in the orchestration space should be open season for experimentation.
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