Kilo Code vs Augment Code

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Kilo Code compared with Augment Code
Detail	Kilo Code	Augment Code
What it does	Open source AI coding agent for VS Code, JetBrains, CLI and Cloud	Agentic software development at organizational scale
Stage	Growing	Growing
Founded	Not given	Not given
Based in	NL	Not given
Pricing model	freemium	subscription
Pricing	Free platform with optional AI inference costs. Teams plan at $15/user/month. Enterprise available at custom pricing. AI inference charged separately at provider rates with no markup. Kilo Pass subscription from $19/month with up to 50% bonus credits. Cloud compute usage-based.	Not given
Key features	AI-powered code completion and generation Multi-mode agent system (Code, Architect, Debug, Ask modes) Support for 500+ AI models from 60+ providers Cloud agents for remote execution Automated code review agents Semantic codebase indexing and search Session continuity across platforms Bring Your Own Keys (BYOK) support MCP (Model Context Protocol) marketplace integration Voice prompting in IDE	Code review automation with AI agents Ticket-to-PR workflow automation Vulnerability remediation and CVE patching Incident response automation Interactive CLI for development Semantic codebase understanding via Context Engine Multi-model support with Claude and Gemini GitHub and GitLab integration Service accounts for production automation Agent Orchestration Platform
What makes it different	Open source with MIT license for full auditability Zero markup on AI inference costs at provider rates Access to 500+ models with no vendor lock-in Works everywhere: VS Code, JetBrains, CLI, cloud, mobile Auto Model intelligent routing balances cost and capability	Agents understand entire codebase context, not just code snippets, enabling comprehensive changes and reviews across large codebases. Complete SDLC automation from ticket triage through deployment, connected loops that hand off between stages. Humans remain in control at quality gates with natural language workflow configuration and approval steps built-in. Reusable, customizable expert templates that teams can fork, modify, and improve over time.
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	76 no change since last check	75 no change since last check
Trust Flow (Majestic)	31	31
Citation Flow (Majestic)	51	52
Referring domains (Majestic)	4372	4835

5 details filled in for both companies.

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