Agor is an open-source platform for orchestrating AI agents: built for teams, not just individuals. It provides a collaborative, real-time workspace where humans and AI agents collaborate on a spatial canvas. Multiple agents run in parallel across isolated git worktrees, with full visibility into sessions, conversations, and outputs. Teams can inspect, intervene, and steer the work of AI teammates as it happens.

At the core are persistent assistants: long-lived agents with memory and tools that coordinate tasks, spawn sub-agents, and continuously advance workflows.

Agor brings structure to agentic work:
Sessions for execution with observability
A collaborative, spatial layout to organize parallel work visually
Git worktrees for isolation and coordination
Artifacts for durable outputs

Under the hood, it's a full orchestration layer with APIs, WebSockets, and an MCP-based tool system that gives agents awareness of shared state and of each other. Agor acts as a control plane for agent workflows: handling parallelism, state, observability, and handoffs between autonomous units of work.

In this demo-driven talk, Max will show assistants coordinating agents, teams collaborating live, and workflows progressing with minimal human intervention.

Format & length: best as a 25–40 minute talk or keynote; adaptable to a leadership panel or fireside; can be tuned more strategic (operating model, risk, adoption), technical, or more practical.