Run your cloud Agents.
Delegate tickets, reviews, and fixes to agents that run in the cloud. Each agent works with your codebase, tools, and instructions while you stay focused on what comes next.
Trusted by enterprise-scale companies
Hand off the work.
Keep your momentum.
Give an agent a task, or let a ticket, pull request, or alert start it. It works in a sandboxed VM with your codebase and tools, then brings back a PR, a review, or a finding for you to approve.
01 · Ticket
Intent · Scope
02 · Code
Spec · Delegate
03 · Review
Intent · Verify
04 · Deploy
Approve · Release
05 · Monitor
Alert · Correct
↺ back to ticket
Continuous learning · every run improves the loop
Your agents. Already on it.
Set up an agent with the Advisor, connect its tools, and follow its progress. Cloud execution keeps the work moving when you switch tasks or close your laptop.
Delegate the work that fills your queue.
Put cloud agents on code reviews, tickets, security fixes, and incident investigation. Review their output at the checkpoints you choose.
Code review loop
Every PR gets a substantive first-pass review within minutes. Senior engineers review for intent and architecture, not line-by-line diffs.
Ticket-to-PR loop
Assign a ticket; the loop investigates, writes the change, and exercises it end to end. Its outcome feeds the code review loop.
Vulnerability remediation loop
From alert to reviewed fix without a war room. The loop maps the blast radius and hands your team patches to approve, not research to start.
Incident response loop
By the time the on-call engineer joins, the investigation is done: likely cause identified, timeline drafted, context assembled.
Run agents in parallel.
Stay in control.
Start with a prebuilt Expert for reviews, tickets, incidents, or verification. Give each agent its own instructions and environment, run work across repositories in parallel, and keep human approval where it matters.
PR Author
Ticket to ready-for-review PR
Deep Reviewer
Line-by-line correctness review
Risk Analyzer
Auto-approves low-risk changes
Verifier
Exercises changes against a live environment
Incident Investigator
Page to root cause
Ticket Dispatcher
Dispatches implementation under backpressure
Project Builder
Feature to tickets to coordinated PRs
Pair Reviewer
Interactive review for design and judgment
Feedback Triager
Feedback to researched ticket
Data Analyst
Read-only data queries
Cosmos Analyst
Reports impact from repo metrics
Cosmos Advisor
Sets up Cosmos itself
Everything your cloud agents need.
Give every agent the context, compute, and tools to do useful work. Configure its environment once and reuse it across tasks.
Prism
Model Router
Any harness, any model. Build your own model router with Prism, or use one of our defaults.
Conversational setup
Cosmos Advisor
Describe the work you want to delegate. The Advisor connects integrations, configures your agents, and sets up their triggers.
15Prism (Claude + Gemini)MCP
MCP
Use our MCP registry, or add your own. Local, remote, OAuth: all of them work.
15cloudflareremotesentryOAuthdatadogremote
playwrightlocalYour machines, their hands
Self-hosted daemon
Connect your machine through the daemon and CLI so cloud agents can work with the tools in your own environment.
Preview
Tunneling
Open a tunnel from your cloud VM to preview your work in the browser. Full access control.
Compute
Isolated VMs
Fresh sandboxed VMs for every session. Agents keep working independently of your laptop.
Codebase context
Context Engine
A live map of your entire codebase, always current, so agents start from real understanding.
Where you work
Deep integrations
Your tools are their tools. Agents read tickets, open PRs, and reply in threads where your team already works.
GitHubConnected
GitLabConnected
JiraConnectedLinearConnected
SlackConnectedFeedback loop
Self learning
Agents write what they learn back to shared knowledge. Every loop your team builds improves the next one.
Event driven
Automation
Start agents from webhooks, schedules, or events, with the right context attached to each task.
Org memory
Shared Knowledge
The work keeps one memory, even when it moves. Files, knowledge, and Experts, shared and versioned across the org.
History
Versioning and auditing
Experts, environments, and loops are all versioned and auditable. Every change carries a name.
Guardrails
Budget controls
Spend caps per automation, per user, or per group of users.
Cloud agents as code.
Define agent instructions, environments, and triggers in versioned YAML. Review configuration changes in Git, apply them with the Auggie CLI, and reuse the same setup across your team.
Engineering teams are already shipping.
Hardware, healthcare, security, enterprise software. These are their numbers, as they reported them. The last one is ours.
Gaming hardware maker
56%
Faster merges. Merge requests handled by Cosmos merge in 21 hours instead of 48, with reviews back in under 8.
Medical device company
10-15x
Faster delivery on a complex legacy-to-cloud migration than the team measured with any other AI tooling.
Cybersecurity company
2.6x
Merged-PR throughput per engineer, from 6.4 to 16.7 a week, with a flat bug rate.
Employee experience platform
6x
Productivity gain on a new agentic system: engineering, product, DevOps, and design shipped in 2.5 months what was scoped at six.
Operations software firm
3 weeks
To ship a product roadmap scoped at six months: 224 pull requests, and full board buy-in.
Enterprise software company
4x
A feature estimated at 60 hours of engineering, completed in 15.
Human services platform
10x
Vulnerability remediation, from about 25 a quarter to 300 in two sprints. 85% of fixes landed on the first attempt.
Augment Code, our own factory
97%
Of code reviews on our repos run through Cosmos. Nothing merges without a human at the checkpoint.
No training on your code
SOC 2 Type II
ISO/IEC 42001-certified AIMS
Zero data retention
CMEK encryption
Proof-of-Possession API
VPC deployment
Single-tenant instances
Sandboxed agent execution
BYOK for models
Data residency controls
SAML / OIDC / SCIM
Granular RBAC
Audit logs + SIEM
Replayable runs
Human-in-the-loop policies
Non-extractable architecture
GDPR · CCPA · HIPAA
BAA available
On-prem deployment
Dedicated account team
Indemnified in our terms
No training on your code
SOC 2 Type II
ISO/IEC 42001-certified AIMS
Zero data retention
CMEK encryption
Proof-of-Possession API
VPC deployment
Single-tenant instances
Sandboxed agent execution
BYOK for models
Data residency controls
SAML / OIDC / SCIM
Granular RBAC
Audit logs + SIEM
Replayable runs
Human-in-the-loop policies
Non-extractable architecture
GDPR · CCPA · HIPAA
BAA available
On-prem deployment
Dedicated account team
Indemnified in our terms
Built for the enterprise.
An agent should never inherit your laptop's keychain. Cloud agents run on scoped credentials, under your policy. We never train on your code. Not now, not ever.
Every action observable. Every action auditable. Every action that matters approved by a human.
Augment's AI coding capabilities are governed by an ISO/IEC 42001-certified Artificial Intelligence Management System.
Put your cloud agents to work.
Start with a review, a ticket, or a fix. Give your agent the context and tools it needs, then review the result when it is ready.