Player profile
Agent Teams
A free desktop app for coordinating autonomous AI agent teams across Claude, Codex, and OpenCode from a Kanban and review workflow.
Profile
Where it fits
Agent Teams is a free, open-source desktop app for AI agent teams. The operator gives high-level commands while agents create tasks, work in parallel, message each other, and review code through a Kanban workflow.
It supports Claude, Codex, and OpenCode runtimes, starts with a free no-auth model, and can connect to provider access across 200+ models and 75+ LLM providers.
It belongs in Open Orchestrators because the product focuses on the team-management layer around autonomous agents: task planning, live process visibility, message delivery, cross-team coordination, per-task logs, code review, and human control over approvals.
Builder web analytics
Measure projects built with Agent Teams
Agent Teams helps builders delegate high-level goals to autonomous agent teams. Agent Analytics gives the follow-up agent visitor, source, funnel, and conversion data after those agent-built changes reach users.
Install Agent Analytics on the user-facing surface Agent Teams helps ship. The useful loop starts after an agent-built change lands and real users interact with it.
First loop to measure
- a builder uses Agent Teams to give a high-level command and let agents plan, implement, review, and ship a change
- the changed website, docs, app, onboarding path, demo, or support surface reports visits, sources, CTA clicks, signup, activation, retention, funnels, and experiment events to Agent Analytics
- a follow-up agent fetches the Agent Analytics results and compares the shipped path with the prior period
- the next Agent Teams task is scoped from measured user behavior, not only from task completion or code diff status
Copyable prompt
Use Agent Analytics for this project. If event reporting is missing, add the tracker and report events for this project surface, including Agent Teams-built page, traffic source, CTA click, signup, activation event, funnel step, experiment, or shipped task. Verify events are arriving. Then fetch the last 7 days and compare them with the prior 7 days. Tell me which Agent Teams-built page, traffic source, CTA click, signup, activation event, funnel step, experiment, or shipped task moved users toward value, where users dropped off, which sources mattered, and what my agent workflow should improve next.