{{boostd}}

Run organized agent fleets
from the terminal

One command to boot the fleet, ship to the cloud, and monitor effectiveness.

$
[View the docs]
npm i -g @boostd/boost

How it works

Structured agent fleets that don't spiral

Boostd lets you deploy agent fleets with explicit roles, limits, and supervision. You define the intent. Boostd proposes a fleet. You approve it.

From there, agents execute real work while you monitor outcomes, costs, and failures.

  • No free-for-all messaging.
  • No hidden loops.
  • No mystery behavior.

Flow

  1. Describe the work you want done.
  2. Review the proposed fleet (roles, scale, limits).
  3. Approve and deploy from the CLI.
  4. Monitor execution, outputs, and effectiveness.
1
Define intent
$ boost fleet new
↓
2
Review fleet
3 agents
Budget limits
Role definitions
↓
3
Deploy & monitor
✓ Fleet active

Why boostd

Agent systems need operations over vibes

Agent frameworks focus on reasoning and composition. Production teams care about control, visibility, and cost.

As agent systems move from demos into real workloads, teams need infrastructure that treats agents like systems with supervision, limits, and measurable output. Boostd exists to be that missing layer.

Agent fleets are

  • Long-running
  • Non-deterministic
  • Expensive when unchecked

Boostd provides

  • Explicit roles
  • Bounded execution
  • Outcome-focused monitoring
⚠
Ad-hoc agents
Unknown cost
Hidden loops
No supervision
Unclear roles
vs
✓
Boostd fleets
Budget limits
Bounded execution
Clear oversight
Explicit roles

FAQ

Opinionated by design

Boostd is not a general-purpose agent playground. It's for teams who want agents to do real work without losing control.

If that tradeoff doesn't work for you, that's okay. There are a lot of other great tools for experimentation.

What is an agent fleet?
A fleet is a group of agents with defined roles (manager, planner, executor) operating under shared limits and supervision.
Is this fully autonomous?
No. Boostd is built around approval points and human oversight.
What do agents actually produce?
Artifacts: code diffs, documents, reports, structured outputs, not just messages.
Where do agents run?
In the cloud. Boostd handles deployment, scaling, and lifecycle.
Is this tied to a specific model or framework?
No. Boostd sits above models and treats agents as execution units.
→

Ready to get started?

Join the waitlist and be among the first to run structured agent fleets in production.

Questions?
Read the docs
Check GitHub discussions
Reach out on Twitter