Augment Code VS Decawork
Augment Code VS Decawork对比，Augment Code 和 Decawork 有什么区别？
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总结
Augment Code 总结
Experience the AI platform that truly understands your codebase. Our developer AI helps teams code faster, make smarter decisions, and unlock collective knowledge. Try free today.
Augment Code 着陆页
Decawork 总结
Decawork is how IT teams take employee-built AI agents live and control every one of them from one place. An employee builds an agent on Claude Code, Codex, or any vibecoding tool; we take it in, put it on company accounts, and run it as a company asset. From there, IT team manages the agent like an employee: access, oversight, retirement.
Decawork 着陆页
比较详细信息
Augment Code 详细信息
| 类别 | AI智能体, AI代码助手, AI代码生成器, AI开发者工具 |
| Augment Code 网站 | https://www.augmentcode.com?utm_source=toolify |
| 添加时间 | 2025年3月5日 |
| Augment Code 定价 | -- |
Decawork 详细信息
| 类别 | AI智能体, AI工作流 |
| Decawork 网站 | https://decawork.ai?utm_source=toolify |
| 添加时间 | 2026年8月26日 |
| Decawork 定价 | -- |
使用情况比较
如何使用 Augment Code？
Install the Augment Code extension in your IDE (VSCode, JetBrains, Vim) or integrate it with GitHub and Slack. Authenticate your accounts, and start using the AI agent for tasks like code refactoring, documentation, and debugging. Define issues, create code, and refine it using the platform's features.
如何使用 Decawork？
Teams build AI agents using their preferred tools and submit them to Decawork for approval. IT then registers each agent, assigns an owner, configures access permissions and scoped credentials, establishes approval gates, monitors activity, reviews audit logs, and pauses or retires agents when necessary.
比较 Augment Code 和 Decawork 的优势
Augment Code的核心功能
- Code augmentation
- Context Engine for real-time codebase analysis
- Integration with 100+ native and MCP tools
- Code Checkpoints for easy reversion
- Multi-Modal support for debugging with images
- Team management
Decawork的核心功能
- Centralized inventory of internal AI agents
- Scoped access controls, credentials, and approval gates
- Complete, attributable audit trails for agent actions
- Agent ownership and lifecycle management
- Support for agents built with multiple development tools
- Monitoring of agent status, reach, skills, and connected tools
比较使用案例
Augment Code的使用案例
- Automating SDK migrations
- Refactoring code
- Generating code documentation
- Understanding multi-repo code context
- Explaining complex code snippets
- Debugging Sentry issues directly from the IDE
- Implementing UI elements using screenshots and Figma files
- Going from issue to pull request in minutes
Decawork的使用案例
- Approve and manage employee-built AI agents before they access company systems
- Control permissions for agents used in marketing, recruiting, HR, IT, legal, finance, and security
- Monitor agent activity and identify which agent performed each action
- Pause or retire agents that are no longer needed or require review
- Maintain a centralized registry of AI agents across an organization
Augment Code和Decawork的不同计划
Augment Code
Free
Perfect for getting started with essential features. Up to 50 user messages, Context Engine, MCP & Native Tools, Unlimited Next Edits & Completions, Community support, Allowed data collection, Additional user messages $20/300
$50/month
For individuals or small teams that want to ship to production, fast. Everything in community with Up to 600 user messages, Team management, up to 100 users, No training on your data, Soc 2 type II, Additional user messages $30/300
$100/month
Ideal for growing teams that need enhanced capacity and support. Everything in Developer with Up to 1500 user messages, Additional user messages $30/300, Community & Email Support
$250/month
Designed for high-demand teams or businesses with intensive usage needs. Everything in Pro with Up to 4500 user messages, Additional user messages $30/300
Enterprise
For enterprise teams with high volume, security, or support needs. Custom user pricing, SSO, OIDC, & SCIM support, Bespoke user message limit, SOC 2 & Security Reports, Slack integration, Dedicated support, Volume based annual discounts
Decawork
对不起，没有数据
Augment Code的流量
Augment Code 是月访问量为 394.3K 且平均访问时长为 00:01:55 的工具。 Augment Code 的每次访问页数为 2.71，跳出率为 42.48%。
最新流量情况
| 月访问量 | 394.3K |
| 平均·访问时长 | 00:01:55 |
| 每次访问页数 | 2.71 |
| 跳出率 | 42.48% |
Decawork的流量
Decawork 是月访问量为 10.6K 且平均访问时长为 00:01:43 的工具。 Decawork 的每次访问页数为 2.64，跳出率为 12.06%。
最新流量情况
| 月访问量 | 10.6K |
| 平均·访问时长 | 00:01:43 |
| 每次访问页数 | 2.64 |
| 跳出率 | 12.06% |
地理位置
Augment Code 的前 5 个国家/地区是：United States 20.37%, India 14.10%, China 9.22%, Vietnam 6.34%, United Kingdom 5.47%
Top 5 国家/地区
 | 20.37% |
 | 14.10% |
 | 9.22% |
 | 6.34% |
 | 5.47% |
地理位置
Decawork 的前 1 个国家/地区是：India 100.00%
Top 1 国家/地区
| 100.00% |
流量来源
Augment Code 的 6 个主要流量来源是：直接访问 42.23%, vs_sourcesSearchOrganic 37.25%, 外链引荐 8.60%, vs_sourcesGenAi 4.27%, vs_sourcesSocialOrganic 4.10%, vs_sourcesSearchPaid 1.29%, 邮件 1.09%, vs_sourcesDisplayAds 0.78%, vs_sourcesSocialPaid 0.39%, vs_sourcesAffiliate 0.00%
直接访问 | 42.23% |
vs_sourcesSearchOrganic | 37.25% |
外链引荐 | 8.60% |
vs_sourcesGenAi | 4.27% |
vs_sourcesSocialOrganic | 4.10% |
vs_sourcesSearchPaid | 1.29% |
邮件 | 1.09% |
vs_sourcesDisplayAds | 0.78% |
vs_sourcesSocialPaid | 0.39% |
vs_sourcesAffiliate | 0.00% |
流量来源
Decawork 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Augment Code 或 Decawork哪个更好？
Augment Code 可能比 Decawork 更受欢迎。如您所见，Augment Code 每月有 394.3K 次访问，而 Decawork 每月有 10.6K 次访问。 所以更多的人选择了Augment Code。 因此，人们很可能会在社交平台上更多地推荐 Augment Code。
Augment Code 的平均访问持续时间为 00:01:55，而 Decawork 的平均访问持续时间为 00:01:43。 此外，Augment Code 的每次访问页面为 2.71，跳出率为 42.48%。 Decawork 的每次访问页面为 2.64，跳出率为 12.06%。
Augment Code 的主要用户是United States, India, China, Vietnam, United Kingdom，分布如下：20.37%, 14.10%, 9.22%, 6.34%, 5.47%。
Decawork 的主要用户是 India，分布如下：100.00%。
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