MOJI

Moji is control infrastructure for scaling autonomous agents in production.

Describe the work, and Moji builds the infrastructure around your swarm.

“Pull my backlog tickets, fix each one with Claude or Codex, run the tests, have two agents review it, then open a pull request.”

Your backlogClaude or CodexTestsTwo reviewersPull requestTicketsRequestsBacklogFixedTestedReviewedPR open

Moji reads your request, works out the steps and the checks, and maps them as a swarm of agents you can run reliably, continuously.

Start from a swarm built for your team.

Moji can power agentic security swarms that continuously attack your own systems for vulnerabilities, without downtime or agents acting beyond their scope.

MojiSwarms · Continuous attack
Continuous attackRunning3,180 jobs tonight
New codeScannersThreat intelRecon12 agentsTargetsAttacked48 agentsConfirmed8 agentsFix PR16 agentsRe-tested12 agents
Hover a finding
Agents− 96 +
ComputeClaude ×38 · Codex ×5864 attack sandboxes
Budget$2,400 / night$1,130 spent

One control layer for every swarm in your company.

Moji gives your company one enterprise harness for every agent your teams run. Each swarm keeps its own steps, checks and budget, and you see all of them in one view.

Security
Software
Content
Research
Support
Finance
Data
Operations

Production agents need control at every step.

An agent’s error can compound through later steps, burn hours of compute and token spend, and reach your customers before anyone reviews it.

Errors compound

One wrong step early in a long job spoils every step that builds on it.

Budgets overrun

In a 2026 survey, 79% of large enterprises said their AI costs overran in the past year.

Control is scattered

Evaluation, monitoring and budget tools each cover one part of the job. Teams try to do bits and pieces of this manually.

DoiT International and Sapio Research surveyed 500 finance leaders at US and UK organisations with over 1,000 employees in February 2026.

What Moji does while your agents work

Describe

Tell Moji the work in a sentence, and Moji maps the swarm for you.

Watch

Moji shows every job as a light on a live map, and you can open any light to see what its agent is doing.

Trust

Moji prices each job before it runs and pauses new work once your budget is spent. Moji also records who did what.

See how Moji works under the hood.

Moji tracks each job as one piece of work that carries its state from step to step. The technical page shows how Moji prices, checks and recovers each step, with a sample swarm file and record.

Read how Moji works
Your swarm file
- id: implement  from: [backlog]  to: implemented  lanes:    - {agent: claude, weight: 50}    - {agent: codex,  weight: 50}  retry: {max_attempts: 2} - id: review  from: [tested]  to: reviewed  parallel:    branches: [claude, codex]    merge: claude  gate:    when: "score >= 70"    on_reject: back to implemented
Price per step, before it runs
Implement$3.40Test$0.30Review$4.60Merge$0.20

MedianSlow end

The committed budget for each job$9.20
The record
  1. Implement · Codexpassed$2.31
  2. Test · CIfailed$0.18
  3. Implement · retrypassed$0.84
  4. Test · CIpassed$0.17
  5. Review · approved by youreleased$1.92

Your code and your agent logins stay on your machines.

Moji runs inside your own security boundary, so your SOC 2 and vendor reviews stay simple.

Inside your walls

Moji runs on your own machine or private network, inside your security boundary.

Your own logins

Your agents work under their own Claude or Codex logins, and you enter no model key in Moji.

No keys for agents

Moji gives agents no GitHub or cloud credentials, and Moji keeps an append-only log of who accessed what.