Token analytics and budgets
See exactly where tokens go by team, agent, task and model. Set caps and get warned at 80%.
This month
4.21M tokens
alert at 80% · hard stop at 100%
Autonomous agents can spend real money while you sleep, and most tools only show you the bill afterwards.
Every run is metered. Break spend down by team, agent, task, project, model or individual run, watch the trend line, and set a monthly ceiling in tokens or currency. Alerts fire at 80% and again at 100%, and scheduled runs can hard-stop instead of quietly draining the budget overnight.
- Breakdown by team, agent, task, project, model, run
- Trend lines and month-end forecast
- Monthly budget in tokens or currency
- Alerts at 80% and 100% of budget
- Hard caps that stop scheduled runs
Workflows that lean on token analytics and budgets
- For teams drowning in small stuff
Clear a backlog of small tasks overnight
Point a team at thirty low-risk tickets and wake up to thirty diffs waiting for review.
- For solo founders and indie builders
Ship a product as one person with a team of agents
Start in solo mode, promote to a team when the work outgrows one agent, and keep the spend capped.
- For regulated and privacy-sensitive teams
Use agents without sending your repo to a vendor
Coordination stays on your machine, and you choose which model — including fully local ones — sees any code.
- AnswerWhy not just use the CLI agents directly?Use them — AgentTeams runs on top of them. What it adds is the layer the CLIs leave out: parallel agents with roles, a board that shows state, messages between agents, a diff review UI, and budgets. If you only ever run one agent, the CLI is enough.
- ComparisonAgentTeams vs CursorAn AI-first code editor with background agents.
- Use caseRun several teams like departmentsNest teams into an org, watch every board on one map, and route work between departments.
Stop being the message bus.
Install it, open a repo, and give three agents an objective. Free, no account, no API key.