Augment Code vs Kilo Code
Compara Augment Code y Kilo Code por workflow, precios, privacidad, modelos y casos de uso.
Augment Code
Choose Augment Code when the main problem is applying AI to large, real-world codebases without forcing developers to abandon their current IDEs. It is less attractive as a cheap personal autocomplete tool, but strong for teams that value deep context, cloud agents, code review, automation, and enterprise controls.
Kilo Code
Choose Kilo Code when openness, model flexibility, BYOK/local options, and cross-surface agent workflows matter more than having one tightly controlled first-party editor experience.
Augment Code
- Modelo de precio
- paid
- Plan gratuito
- No
- Open source
- No
- Modelos locales
- No
- BYOK
- No
- Base del editor
- VS Code
Diferencias clave
Workflow
Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows.
Kilo Code positions itself as an open-source, multi-model coding agent that spans IDE extensions, CLI, cloud agents, and team governance.
Precio
paid
open-source
compare.fields.localModels
No
Sí
BYOK
No
Sí
compare.fields.openSource
No
Sí
Comparación de funciones
| Función | Augment Code | Kilo Code |
|---|---|---|
| Workflow principal | Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows. | Kilo Code positions itself as an open-source, multi-model coding agent that spans IDE extensions, CLI, cloud agents, and team governance. |
| Tipo | code-assistant | extension |
| Base del editor | VS Code | VS Code |
| Modelo de precio | paid | open-source |
| Precio inicial | $100 | $0 |
| Plan gratuito | No | Sí |
| Open source | No | Sí |
| Modelos locales | No | Sí |
| BYOK | No | Sí |
| Plataformas | VS Code, JetBrains IDEs, Vim, Neovim, CLI, Browser-based Cosmos cloud agent platform, GitHub, Slack, Linear | VS Code, Open VSX-compatible editors, JetBrains IDEs, CLI, Cloud Agents, Slack |
| Modelos | Claude Fable 5, Claude Haiku 4.5, Claude Opus 4.5, Claude Opus 4.6, Claude Opus 4.7, Claude Sonnet 4.5, Claude Sonnet 4.6, Gemini 3.1 Pro, GPT-5.1, GPT-5.2, GPT-5.4, GPT-5.5, Kimi K2.6, Prism | Anthropic Claude, OpenAI GPT, Google Gemini, xAI Grok, MiniMax, Z.ai GLM, DeepSeek, Mistral AI, Moonshot AI Kimi, AWS Bedrock, Ollama, LM Studio, Atomic Chat, OpenRouter, OpenAI-compatible providers |
| Funciones enterprise | SSO, OIDC, SCIM, SOC 2 Type II, Security reports, CMEK, ISO 42001 compliance, SIEM integration, Data residency options, Granular access controls, Comprehensive audit trails, Custom usage, Custom top-ups, Unlimited users, Multi-region compute, Custom size compute, Unlimited concurrent sessions, Dedicated support, Usage analytics, Advanced code review analytics, User allowlists, Multi-org GitHub support, Unlimited seats and repositories for enterprise code review | Centralized billing, Usage analytics and reporting, AI adoption score, Shared agent modes, Shared BYOK, Team management, Data privacy controls, Model and provider restrictions, Shared Private Gateway BYOK, Audit logs, SSO, OIDC, and SCIM, SLA commitments, Dedicated support channels |
| Mejor para | Enterprise engineering teams, Large monorepos, Production refactors, Repository-scale debugging, Teams that want AI agents inside existing IDEs, Teams using JetBrains who do not want to switch to a VS Code fork, Cloud agent automation, AI-assisted code review, Migration and modernization projects, Incident investigation and security remediation workflows | Developers who want an open-source AI coding agent inside VS Code or JetBrains., Teams that want BYOK, shared modes, usage analytics, and centralized AI cost controls., Power users who switch between IDE and terminal workflows., Developers comparing Roo Code, Cline, Continue, Cursor, and Claude Code., Privacy-conscious workflows that can run capable local models. |
| No recomendado para | Solo developers looking for the cheapest autocomplete tool, Users who want a full standalone AI IDE replacement, Teams requiring fully local model execution, Workflows that need BYOK model routing as a core documented feature, Projects where usage-based AI billing is unacceptable, Users whose main need is simple line-by-line code completion on a low-cost plan | Users who only need lightweight autocomplete with minimal setup., Non-technical users looking for a no-code prompt-to-app builder., Teams that require a single fixed first-party model vendor., Developers without budget or hardware for higher-capability model usage. |
Mejor por caso de uso
Augment Code y Kilo Code tienen señales comparables aquí.
Kilo Code supports local model workflows.
Augment Code lists more team or enterprise controls.
Augment Code has stronger frontend or web workflow signals.
Kilo Code supports more model/provider options or BYOK-style workflows.
Kilo Code is marked as open source.
Comparación de precios
Augment Code
- Business$100 / month
Flat monthly plan for up to 50 seats with $100/month of usage included across LLM, Context Engine, and Cosmos compute.
- EnterpriseCustom
Custom usage, unlimited users, advanced security, SSO/OIDC/SCIM, compliance options, multi-region compute, and dedicated support.
Kilo Code
- Free & Open Source$0 / forever
Core VS Code, JetBrains, and CLI coding agent; AI usage is billed separately or supplied via BYOK/local models.
- Teams$15/user / month
Adds centralized billing, usage analytics, shared modes, shared BYOK, team management, privacy controls, and priority support.
- EnterpriseCustom
Adds model/provider restrictions, private gateway BYOK, audit logs, SSO/OIDC/SCIM, SLA commitments, and dedicated support.
- Auto Free / BYOK / Local$0 / month
Use free routed models where available, bring provider keys, or run local models with Ollama, LM Studio, or Atomic Chat.
- Kilo Gateway$0 + usage / month
Pay-as-you-go hosted inference at provider rates with no AI inference markup.
Privacidad y seguridad
Augment Code
Augment states that paid plans do not allow AI training on customer data. The platform processes codebase context, prompts, model requests, repository metadata, tool calls, and cloud-agent session data to provide its Context Engine, IDE clients, CLI, Cosmos, and automation features. Enterprise buyers should review the Trust Center, data residency, CMEK, audit trail, SIEM, and access-control options before using it with regulated or highly confidential code.
Kilo Code
Kilo Code can use local models through Ollama, LM Studio, and Atomic Chat for workflows where code and prompts stay on the local machine. Hosted Gateway, Cloud Agents, code review, and BYOK routing may send prompts, repository context, or outputs to Kilo infrastructure and/or the selected model provider, so sensitive repositories should be reviewed against provider terms, enterprise controls, and internal policy.
Elige Augment Code si...
- Enterprise engineering teams
- Large monorepos
- Production refactors
- Repository-scale debugging
- Teams that want AI agents inside existing IDEs
Elige Kilo Code si...
- Developers who want an open-source AI coding agent inside VS Code or JetBrains.
- Teams that want BYOK, shared modes, usage analytics, and centralized AI cost controls.
- Power users who switch between IDE and terminal workflows.
- Developers comparing Roo Code, Cline, Continue, Cursor, and Claude Code.
- Privacy-conscious workflows that can run capable local models.
Evita Augment Code si...
- Solo developers looking for the cheapest autocomplete tool
- Users who want a full standalone AI IDE replacement
- Teams requiring fully local model execution
- Workflows that need BYOK model routing as a core documented feature
- Projects where usage-based AI billing is unacceptable
Evita Kilo Code si...
- Users who only need lightweight autocomplete with minimal setup.
- Non-technical users looking for a no-code prompt-to-app builder.
- Teams that require a single fixed first-party model vendor.
- Developers without budget or hardware for higher-capability model usage.