The control plane for multi-agent work

Make multi-agent work reliable at any scale.

Agents work together inside your intent and boundaries. Midfleet enforces the path—ownership, scope, rules, and proof—until completion is earned.

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Works with your existing agents, models, repositories and CI.

The control gap

Prompts start the work. Midfleet keeps the path trustworthy.

Bring any model or agent harness. Midfleet enforces ownership, scope, rules, and proof on the path from intent to verified completion.

Control stays independent of the model. Your rules hold even as agents, providers, and tools change.
You said

“Add role-based access to workspace settings. Keep the current authentication system.”

The agent built

A replacement

authentication system Outside approved scope

How it works

One governed run, from intent to proof.

Not a forced workflow script. A control loop: humans define done and constraints; agents execute; Midfleet keeps durable state until completion is allowed.

You set intent and constraints
Agents choose path and tools
Midfleet holds state and gates
Run the intent in Midfleet CLIOpenAI model · workspace connected LIVE
$midfleet run --model openai
intentShip workspace access controls without interrupting active agent sessions.

contextworkspace usr-0hbc-default attachedok

outcomeworkspace access controlsset

preserveactive sessions · identity · billingheld

requiretests · independent review · deployment smokegated

rosterplanner · implementers · security · verifier · reviewerready

decisionidentity boundary requires independent review

complete whenrequired evidence is attached

readyepic.created / EPIC-214

CLI1 / 4

In practice

Know where every run stands.

Midfleet shows who owns each step, what is allowed, where attention is needed, and what evidence must clear before work can complete. Engineering is the first use case shown here; GitHub is one example of a connected tool.

Midfleet Live runEPIC-214 Agents ready

Engineering delivery · GitHub connected

Workspace access controls

Deliver the approved change without disrupting active agent sessions.

2 / 4Stages complete
01Complete

Define scope

Analyst

Boundary accepted
02Complete

Implement

Implementer

PR and tests attached
03Now

Verify evidence

PR verifier

Approval required
04Next

Independent review

Epic reviewer

Waiting for verification
Current stage

Midfleet is checking the evidence before work can advance.

The change is built. The run stays here until the required approval is recorded.

Evidence on this run
ScopeAccepted
Pull requestAttached
TestsAttached
ApprovalRequired
Scope heldOwners remain explicitCompletion waits for evidence

Operational clarity

Manage more autonomous work without monitoring every agent.

Midfleet turns agent activity into an operator view: see who owns each run, intervene when scope or approvals are blocked, and require evidence before work can close.

01 · visibility

See every run clearly

Track the owner, approved scope, active agents, and progress without following every prompt or session.

02 · intervention

Step in where needed

When scope, ownership, or approvals conflict, Midfleet surfaces the issue with context for a human decision.

03 · assurance

Trust what is marked done

Completion waits for the required reviews, tests, evidence, and runtime record—so done means verified.

Where Midfleet fits

The control plane in the agent delivery stack.

Keep the tools that build, run, evaluate, and record agent work. Midfleet connects them to ownership, boundaries, evidence, and a verified production outcome.

Agent ecosystem

  1. 01

    Agent runtimes

    Execute work with chosen models and harnesses

    agent activity
  2. 02

    Durable execution

    Keep work alive through interruption and failure

    durable state
  3. 03

    Evals & observability

    Measure behavior, quality, and runtime health

    behavior signals
  4. 04

    Systems of record

    Retain issues, changes, reviews, and delivery records

    work records
05 · Operational control

Midfleet

Operational authority from intent to verified completion.

  • identity
  • boundary
  • exceptions
  • approval
  • evidence

Midfleet governs

  • 01Registers ownership and handoffs
  • 02Holds scope and rules at runtime
  • 03Surfaces exceptions with context
  • 04Gates sensitive transitions
  • 05Requires evidence before completion
06 · Governed delivery

Verified production outcome

Work only closes when the rules are satisfied and the evidence is attached.

  • Owner confirmed
  • Boundaries respected
  • Approval cleared
  • Evidence attached
Verified complete

Works with your stack

Keep your stack.

Bring your models, agent harnesses, and delivery systems. Midfleet connects to the stack without replacing it.

Models + providers

  • GPT
  • Claude
  • Gemini
  • Grok
  • Kimi
  • Custom endpoint

Agent harnesses

  • Claude Code
  • Codex
  • OpenCode
  • Custom agent

Tools + systems

  • GitHub
  • GitLab
  • Jira
  • CI
  • Slack
  • Cloud runtime
  • More

Deploy

Deploy is hands-on engineering to launch your first governed agent workflow.

Deploy a governed agent workflow with Midfleet FDE: we provision the runtime, agents, access, controls, and first production-worthy run with your team. Midfleet-hosted, customer cloud/private, or hybrid—we work around your existing agents, models, repositories, and CI.

Forward-deployed engineering

We provision infrastructure and agents, integrate your environment, configure controls, and operate governed work end to end.

Talk to us

Start free

Create a workspace when you want to inspect the product directly. Talk to us when you want agents provisioned for a real workflow end to end.

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