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What is Navarch?

Navarch acts as the command hub for teams leveraging AI coding agents, facilitating the simultaneous strategizing, development, evaluation, quality assurance, and deployment of real software across various repositories. As you oversee priorities, manage budgets, and set up approval checkpoints, every task is meticulously logged on an append-only ledger that captures its pull request, before-and-after images, and a distinct review, enabling you to evaluate the work based on tangible evidence instead of navigating through diffs. Your repositories are hosted on GitHub, and your agents have the capability to function on your infrastructure or ours, offering versatility in your development setup. This efficient workflow significantly boosts collaboration and accountability among development teams, ultimately leading to more successful project outcomes. By harnessing these tools, teams can enhance their agility and responsiveness to changes in project requirements.

What is Cosmos?

Cosmos by Augment Code is an AI agent orchestration platform that helps software engineering organizations automate and manage development activities across multiple teams, repositories, and environments. The platform coordinates specialized AI agents that perform tasks involving software implementation, code review, testing, vulnerability remediation, incident investigation, and development workflow management. Its Expert system allows organizations to configure reusable agents with defined instructions, capabilities, tools, execution environments, and access permissions. Cosmos includes a Context Engine that provides agents with codebase intelligence by identifying relevant files, dependencies, architectural relationships, and existing implementation patterns. The platform supports automated workflows initiated by repository events, project management updates, monitoring alerts, scheduled tasks, and custom webhooks. Its ticket-to-pull-request workflows can investigate assigned issues, generate code changes, run verification procedures, and prepare modifications for engineering review. Automated code review capabilities use specialized agents to assess pull requests for correctness, implementation risks, and issues requiring human judgment. Cosmos provides isolated virtual machines and supports execution on managed cloud infrastructure, self-hosted machines, and supported customer environments. Shared organizational memory allows agents to retain reusable knowledge, reference previous workflow outcomes, and apply updated instructions across future executions. Governance capabilities include human-in-the-loop approval checkpoints, versioned workflows, execution auditing, access controls, and configurable spending limits for automated operations. Integrations with GitHub, GitLab, Jira, Linear, Slack, Microsoft Teams, and Model Context Protocol tools enable organizations to connect agent workflows with their existing development infrastructure.

Media

No images available

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Claude Fable 5
Claude Mythos 5.1
Claude Opus 5
Claude Opus 5.5
Claude Sonnet 5.5
GLM-5.2
GPT-5.6 Luna
GPT-5.6 Sol
GitHub
Google Cloud Platform
Grok 4.5
Harness
Jira
Kimi K3
Kimi K3.1 Pro
Linear
Microsoft Azure
Model Context Protocol (MCP)
Slack

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$20 per month

Supported Platforms

SaaS
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

SagentLab

Company Website

sagentlab.com

Company Facts

Organization Name

Augment Code

Date Founded

2022

Company Location

United States

Company Website

www.augmentcode.com

Categories and Features

Agentic Orchestration

Not specified

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

AI Coding Agents

Not specified

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