Agenten-Kompass

AGENT PROFILES

Augment Cosmos

Augment Code · Coding agents

Coding agent platform for specialized tasks and automations. Cosmos combines Experts, repositories and tools in local or managed environments.

Develop software Automate

Augment Cosmos · Coding agent platform with Experts and automations

Product and access

Cosmos organizes specialized Experts and agent sessions. Auggie CLI and Augment offerings for VS Code and JetBrains belong to the same product family; this profile focuses on Cosmos.

Provider

Augment Computing, Inc. operates Augment Code for agent-assisted software development. Its offering includes Cosmos, Auggie CLI, IDE integrations and a shared Context Engine for project knowledge.

Operator
Augment Computing, Inc.
Organization
Company
Provider sourcesSource 1 Source 2 Reviewed
01

Core features

7 features from provider sources · checked on 9 October 2026. Availability and limits are listed below.

  • Specialize Experts

    Experts combine reusable instructions, model selection, tools and an environment for specific tasks.

    Source 2

  • Connect repositories in environments

    An environment can contain multiple repositories and the required development configuration.

    Source 3

  • Use cloud or your own host

    Agents can work in managed virtual machines or on a self-configured laptop, server or VM.

    Source 3

  • Use events and schedules

    GitHub, Slack, Linear or PagerDuty events, webhooks and cron schedules can trigger agent work.

    Source 2

  • Add capabilities and skills

    Capabilities provide tools and MCP access; skills add reusable task instructions.

    Source 2

  • Private and shared files

    Virtual files can remain private or be shared within the organization and extend experts’ context.

    Source 2

  • Advisor for setup

    Advisor supports configuring experts, integrations, environments and automations.

    Source 2
02

Requirements and limits

  • Requirement

    Configure the GitHub app administratively

    Repository access is configured through the installed GitHub app and the repositories selected by an administrator.

    Source 3

  • Requirement

    Assign integration permissions explicitly

    Slack and Linear connections require suitable installation and permissions. Authorized channels and events determine access.

    Source 3

  • Requirement

    Prepare the agent environment

    Repositories, the base image or host, and required tools must be configured before the agent run.

    Source 3

  • Limitation

    Standard and Business up to 50 seats

    Standard and Business each include up to 50 seats. The included budget covers usage; LLM and Context Engine consumption are billed.

    Source 4

Operation & oversight

Operational details for this profile have not yet been researched.

03

Practical tasks

Editorial examples based on documented features. No product tests performed.

01

Review a pull request with an Expert

Your input
An accessible repository, a pull request and an Expert with clear review rules.
Possible result
An agent session with reasoned findings and references.
What to check
Check the PR state, tools, references and effects of any comments.
02

Use a ticket event as a coding task

Your input
An authorized Linear connection, a bounded trigger and a configured project environment.
Possible result
A triggered Expert task with a traceable work history.
What to check
Check event filters, repository permissions, changes and results.
EDITORIAL EXAMPLE

An accessible repository, a pull request and an Expert with clear review rules.

Your possible prompt

Read the project rules. Investigate [error], propose a small change, and run the relevant checks. Show me the diff and any remaining uncertainties.

Getting-started idea based on documented capabilities. Not an executed product test. Adapt the task, data, and permissions.

04

Setup and pricing

Setup

Configure the organization, GitHub app, repository access and agent environment

Prices and included usage

Pricing checked

A flat monthly team price includes a usage budget for models, Context Engine and compute.

Standard
USD 20 per team per month

Up to 50 seats and USD 20 included monthly usage budget.

Price source
Business
USD 100 per team per month

Up to 50 seats and USD 100 included monthly usage budget.

Price source
Enterprise
Custom pricing

Larger teams and contractual enterprise requirements.

Price source
  • LLM inference is billed at the model provider’s public API list price. Context Engine and compute also consume the budget; top-ups outside the plan remain valid for twelve months.

Pricing details

05

Sources and evidence

Official product documentation reviewed. Workflows and assessments are editorial; hands-on product tests are outside the scope of this directory.

Editorial team: Michael Meierhoff · sources reviewed on . Provider information is not independent evidence of performance.

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How we assess the sources