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ohmako

AI-native software delivery

The infrastructure behind autonomous software engineering.

Build, test, review, secure, and ship software with one AI-native delivery platform. OhMako gives your CI pipelines and coding agents the compute, isolated environments, orchestration, and intelligence they need to deliver software faster.

CI/CD infrastructure. Autonomous engineering environments. AI-powered delivery.

ohmako · delivery / acme/api #482
LIVE
  1. Commit pushedgit

    a3f9c1e feat(api): add rate limiter → main

  2. CI job · isolated VMrunner
  3. Agent task · sandboxagent
  4. AI reviewreview
  5. Remediationagent
  6. Security testingsecurity
  7. Merge queuequeue

The problem

AI can write code. Your infrastructure needs to keep up.

Autonomous software engineering introduces new infrastructure requirements. Agents multiply the volume of changes — and every change still has to run, pass, and ship safely.
01

Execution infrastructure

Coding agents need reliable, isolated environments with access to repositories, dependencies, tools, and secrets.

02

Continuous validation

Generated code still needs to be built, tested, reviewed, and validated.

03

Security and trust

AI-generated changes need security testing and controlled remediation.

04

Delivery orchestration

Multiple agents, CI jobs, and pull requests need coordination to avoid bottlenecks and redundant work.

OhMako connects these capabilities into one software delivery system.

The platform

One platform. The entire software delivery lifecycle.

Compute, environments, review, security, merging, and intelligence share one control plane, one identity model, and one execution record.
RUNAvailable

CI/CD Runners

High-performance, isolated CI/CD execution infrastructure.

  • — GitHub Actions-compatible runners
  • — GitLab CI support
  • — Linux x64 and ARM64 execution
  • — Fresh Firecracker VM per job
Connects to SNP · MRG · OPT
AGTAvailable

Agent Infrastructure

Dedicated, isolated environments for autonomous coding agents.

  • — Firecracker-based isolated machines
  • — Multi-repository environments
  • — Configurable environments and secrets
  • — Shell, SSH, terminal, and file access
Connects to SNP · REV · MRG
SNPAvailable

Snapshots and Warm Pools

Make agent and CI environments fast to provision and restore.

  • — Full memory and disk snapshots
  • — Snapshot restoration
  • — Warm-up jobs
  • — Preloaded dependencies and services
Connects to RUN · AGT · OPT
REVAvailable

AI Code Review

AI-powered pull request and merge request review with remediation.

  • — GitHub and GitLab integrations
  • — Automatic and manual reviews
  • — Incremental review of new changes
  • — Inline findings
Connects to AGT · RUN · MRG
MRGAvailable

Merge Queue

Reliable merge orchestration for teams and AI agents.

  • — Ordered and batch merging
  • — Validation before merging
  • — Conflict handling
  • — Retries
Connects to RUN · REV · AGT
SECBeta

AI Security Testing

AI-driven analysis and exploit validation in isolated environments.

  • — Source-code analysis
  • — Dynamic security testing
  • — Isolated application instantiation
  • — Exploit validation and proof-of-concept generation
Connects to AGT · REV · MRG
OPTAvailable

CI Optimization

Continuously improve the speed and efficiency of CI pipelines.

  • — Analyze CI execution history
  • — Analyze workflow configurations
  • — Understand repository structure
  • — Identify bottlenecks and inefficiencies
Connects to RUN · SNP · AGT
INT

Continuous CI Intelligence

Scheduled reports on cost, duration, utilisation, cache and snapshot efficiency, failures, and regressions — across every product above.

Platform overview

How it works

From commit to production, orchestrated.

Developers and AI agents work in isolated environments.

agent machine
$ ohmako machine create --env acme-monorepo --from snap_8e21

Humans and agents

A platform designed for both developers and autonomous agents.

OhMako isn't just a web application. It's infrastructure you can drive programmatically — from an agent, a terminal, or your own systems.

MCP

Expose platform capabilities to AI agents through the Model Context Protocol.

CLI

Manage infrastructure, environments, execution, and workflows from the terminal.

API

Integrate OhMako into internal systems and engineering workflows.

Web interface

Monitor execution, inspect environments, review findings, and manage delivery.

Coding agents
IDEs
CI systems
MCP clients
Developers
OHMAKO CONTROL PLANE
MCP
CLI
API
Web

auth · policies · audit · orchestration

Runners
Machines
Snapshots
Review
Security
Queue
Insights

Integrations

Fits into the tools your engineering team already uses.

GitHubAvailable

Repositories, pull requests, checks, and review comments.

GitLabAvailable

Repositories, merge requests, and review discussions.

GitHub ActionsAvailable

Drop-in compatible runners via runs-on labels.

GitLab CIAvailable

Run GitLab CI jobs on OhMako infrastructure.

DockerAvailable

Docker builds and service containers inside every job.

MCP clientsAvailable

Expose platform capabilities to MCP-compatible AI clients.

Coding agentsAvailable

Run any CLI-driven coding agent inside isolated machines.

BitbucketPlanned

On the roadmap. Not yet available.

All integrations

Security and isolation

Infrastructure designed for controlled execution.

Every workload — CI job, agent task, or security test — runs in an isolated, policy-governed environment with short-lived credentials.

Firecracker isolation

Every job and agent runs in its own microVM with a dedicated kernel.

Ephemeral environments

CI machines are destroyed after each job. Nothing carries over.

Short-lived OIDC credentials

Workloads receive scoped, expiring identity tokens instead of static keys.

Role-based access control

Organization, project, and environment permissions.

Secret handling and redaction

Secrets are injected at runtime and redacted from logs.

Audit trails

Who — human or agent — did what, where, and when.

Security architecture

Pricing

Pay for the infrastructure you actually use.

No seats to count and no idle fleets to pay for. Usage is metered per resource, and organizations can set spending limits and execution controls.

CI compute

—
per runner-minute · rate published soon

Linux x64 and ARM64 runners, billed by size and duration.

Agent machine compute

—
per machine-minute · rate published soon

Isolated agent machines, billed while awake. Sleeping machines stop compute billing.

Storage and snapshots

—
per GB-month · rate published soon

Persistent disks, memory and disk snapshots, and caches.

AI review and agent execution

—
per usage · rate published soon

AI code review, remediation, security testing, and optimization analysis where applicable.

View pricing

Build the next generation of software delivery.

Give your developers and AI agents the infrastructure to build, validate, and ship software without the operational friction.