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What's next, Alex?

All Experts
Mine
Pinned
Deep Code Reviewer
Reads a PR end-to-end — logic, edge cases, naming, security surface, and test completeness — then posts detailed inline comments with an approve / request-changes verdict.
CI Failure Investigator
Triggered on any failed GitHub Actions run — reads the log, identifies the root-cause step, and posts a plain-English diagnosis as a PR comment with a suggested fix.
PR Review Enforcer
Reviews every opened pull request against your team's coding standards, leaves inline comments, and requests changes when tests are missing.
Security Vulnerability Triager
Monitors Dependabot and Snyk alerts, scores exploitability using CVSS context, and files prioritized GitHub issues with remediation steps.
Dependency Upgrade Bot
Groups safe minor/patch bumps into a single PR per repo, runs the test suite, and only merges automatically when CI is green.
Incident Response Coordinator
On a PagerDuty alert, pages the on-call engineer via Slack, opens a war-room channel, attaches runbooks, and drafts a timeline doc updated every 15 min.
C
G
Prism (Claude + Gemini)
Routing
C
G
Prism (Claude + Gemini)
Auto-routes each turn for cost + quality
Single model
Claude Sonnet 4.6
Balanced speed + intelligence
Claude Opus 4
Highest capability
Gemini 2.5 Pro
Long context tasks

Ready to try it for real?

Start building in Cosmos

Trusted by leading enterprises

Adobe
MongoDB
Pure Storage
DXC
DDN
Tekion
Snyk
MoneyGram
Crypto.com
Webflow
Pigment
Adobe
MongoDB
Pure Storage
DXC
DDN
Tekion
Snyk
MoneyGram
Crypto.com
Webflow
Pigment

Individual adoption is not organizational transformation.

Today's agents are the worst they'll ever be. As they take on more complex work, the limiting factor shifts from generation to coordination.

Expected

2–3×

Throughput uplift teams were promised

Reality

20–30%

The ceiling most teams hit

+Unified Agents Platform+

Meet Cosmos.

Cosmos runs your software agents at scale, giving them the context, tools, and feedback loops they need to get better with every workflow.

Four capabilities, one platform.

Animated Prism model routing illustration

Route each turn to the right model

Prism picks the best model for each turn — preserving frontier quality at 20–30% lower cost per task.

20-30%

Lower cost per task

Animated model choice illustration

Use the best model for every task

No lock-in. Route every task to the highest-ROI model, bring your own keys, and adopt new models as they ship.

BYOK

Frontier and open models

Animated Context Engine token routing illustration

More outcome, fewer tokens

The Context Engine maps your codebase structurally, giving agents only what the task needs — 33% fewer tokens, same quality.

33%

Lower token cost

Animated self-learning knowledge footprint illustration

One team's workflow lifts the org

Shared memory and reusable experts mean one team’s best practice becomes everyone’s baseline.

5% -> 95%

Engineers become AI-native

Your Experts on top.
Your infrastructure below.
Cosmos orchestrates the work.

Cosmos

Unified Agents Platform

+ Services

Expert Registry

Discover and share

Human-in-the-Loop

Smart escalation

Integrations

Slack · GitHub · Jira · CI

Organization Knowledge

Shared memory & knowledge across agents & teams

+ Cosmos Core

Agent Runtime

Scheduling, isolation

Context Engine

Codebase understanding

Trigger & Automation

Software development lifecycle triggers

Shared File System

Tenant and user level

Sandboxes

Isolated execution

+ Works Everywhere

Laptops

Local dev

Dev VMs

Codespaces · Devcontainers

Our Cloud

Managed · Zero setup

Your Cloud

AWS · GCP · More

Agents own the whole loop.
Not just the code.

Cosmos ships with experts for every stage of the software development lifecycle. Each one owns its slice end to end, hands off to the next, and pulls humans in only at the checkpoints that matter.

Triage

Work Dispatcher

Scans open tickets, applies a triage rubric, and dispatches the right expert as a worker.

Author

PR Author

Takes a task description and drives it from first commit through merge.

Review

Code Review Fleet

Pair Review, Deep Code Review, and PR Risk Analysis work the PR end to end and post inline findings.

Verify

Tester

Exercises the change end to end and posts results, screenshots included.

Build your own/Use the experts we ship, choose from our library, fork them, or build your own. Every expert is a reusable template with its own environment, capabilities, and memory.

Small teams of humans. Large teams of agents. Huge outcomes.

resolved early

70%+

of pages resolved before the on-call engineer joins using Cosmos.

patched fast

60%+

of CVEs automatically remediated using Cosmos.

Customer outcome5 month window[ fig. 04 / throughput ]
PRs mergedMedian time to mergeMonth 1Month 2Month 3Month 4Month 5
PRs mergedMedian time to merge

Our Context Engine.
Same model. Half the bill.

That's the gap between agents that understand your codebase and agents that grep it. Most agents search by keyword and send everything they find back to the model. Our Context Engine maps your codebase by structure. What calls what. What's active. What's deprecated. Our agents pull only the slice the task touches.

Cost × pass rateSame five configurations · one plot
Terminal Bench 2.0x = cost · y = pass rate[ fig. 03 / scatter ]
Pass rate · higher is better ↑Percent of tasks the agent solved against the benchmark's official test harness. A couple points of variance is normal across runs.
$0$250$500$75060%65%70%75%80%BEST ↗Augment - GPT 5.4Augment - Gemini 3.1Augment - GPT 5.5Augment - Opus 4.7Claude Code - Opus 4.7
Cost (USD) · lower is better →Total dollars spent on the run at provider pricing. Sums input, output, and cache read/write tokens.
Token consumptionWhere the savings come from
SWE-Bench ProAugment vs Claude · Opus 4.7[ fig. 04 / tokens ]
Total tokensSum of input, output, cache read, and cache write tokens. The bill is computed from this.0.0%
Augment
1.65B
Claude
2.35B
Cache readsHistorical context replayed each turn. Most agents re-send the same candidate files every turn because they don't know which one matters; Augment's Context Engine sends only the slice the task touches.0.0%
Augment
1.58B
Claude
2.27B
Cache writesNew context tokens written to the cache so the next turn can read them back.0.0%
Augment
52.8M
Claude
63.8M
Saved per run$421.34Pass rate+1.9 pts
No training on your codeSOC 2 Type IIISO/IEC 42001-certified AIMSZero data retentionCMEK encryptionProof-of-Possession APIVPC deploymentSingle-tenant instancesSandboxed agent executionBYOK for modelsData residency controlsSAML / OIDC / SCIMGranular RBACAudit logs + SIEMReplayable runsHuman-in-the-loop policiesNon-extractable architectureGDPR · CCPA · HIPAABAA availableOn-prem deploymentDedicated account teamIndemnified in our terms