Augment Code VS Decawork
Augment Code VS Decawork 对比，Augment Code 和 Decawork 有什麼區別？
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總結
Augment Code 總結
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 著陸頁
Decawork 總結
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 著陸頁
比較詳情
Augment Code 詳細信息
| 類別 | AI 代理, AI 程式碼助理, AI 代碼生成, AI 開發者工具 |
| Augment Code 網站 | https://www.augmentcode.com?utm_source=toolify |
| 添加時間 | 2025年3月5日 |
| Augment Code 定價 | -- |
Decawork 詳細信息
| 類別 | AI 代理, AI 工作流程 |
| Decawork 網站 | https://decawork.ai?utm_source=toolify |
| 添加時間 | 2026年8月26日 |
| Decawork 定價 | -- |
使用對比
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.
比較 Augment Code 和 Decawork 的優點
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
比較用例
Augment Code 的用例
- 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 的用例
- 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 之間的計劃不同
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
對不起，沒有數據
Augment Code 的流量
Augment Code 是月访问量為 394.3K 且平均訪問時長為 00:01:55 的工具。 Augment Code 的每次訪問頁數為 2.71，跳出率為 42.48%。
最新網站流量
| 月訪問量 | 394.3K |
| 平均訪問時長 | 00:01:55 |
| 每次訪問頁數 | 2.71 |
| 跳出率 | 42.48% |
Decawork 的流量
Decawork 是月访问量為 10.6K 且平均訪問時長為 00:01:43 的工具。 Decawork 的每次訪問頁數為 2.64，跳出率為 12.06%。
最新網站流量
| 月訪問量 | 10.6K |
| 平均訪問時長 | 00:01:43 |
| 每次訪問頁數 | 2.64 |
| 跳出率 | 12.06% |
地理流量
The top 5 countries/regions for Augment Code are:United States 20.37%, India 14.10%, China 9.22%, Vietnam 6.34%, United Kingdom 5.47%
Top 5 Countries/regions
 | 20.37% |
 | 14.10% |
 | 9.22% |
 | 6.34% |
 | 5.47% |
地理流量
The top 1 countries/regions for Decawork are:India 100.00%
Top 1 Countries/regions
| 100.00% |
網站流量來源
Augment Code 的 6 個主要流量來源是：直接 42.23%, vs_sourcesSearchOrganic 37.25%, 引薦 8.60%, vs_sourcesGenAi 4.27%, vs_sourcesSocialOrganic 4.10%, vs_sourcesSearchPaid 1.29%, 郵件 1.09%, vs_sourcesDisplayAds 0.78%, vs_sourcesSocialPaid 0.39%, vs_sourcesAffiliate 0.00%
直接 | 42.23% |
vs_sourcesSearchOrganic | 37.25% |
引薦 | 8.60% |
vs_sourcesGenAi | 4.27% |
vs_sourcesSocialOrganic | 4.10% |
vs_sourcesSearchPaid | 1.29% |
郵件 | 1.09% |
vs_sourcesDisplayAds | 0.78% |
vs_sourcesSocialPaid | 0.39% |
vs_sourcesAffiliate | 0.00% |
網站流量來源
Decawork 的 6 個主要流量來源是：郵件 0, vs_sourcesGenAi 0, 直接 0, vs_sourcesAffiliate 0, 引薦 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
郵件 | 0 |
vs_sourcesGenAi | 0 |
直接 | 0 |
vs_sourcesAffiliate | 0 |
引薦 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Augment Code 或 Decawork哪個更好？
Augment Code 可能比 Decawork 更受歡迎。如您所見，Augment Code 每月有 394.3K 次訪問，而 Decawork 每月有 10.6K 次訪問。 所以更多的人選擇Augment Code。 因此，人們很可能會在社交平台上更多地推薦 Augment Code。
Augment Code 的平均訪問持續時間為 00:01:55，而 Decawork 的平均訪問持續時間為 00:01:43。 此外，Augment Code 的每次訪問頁面為 2.71，跳出率為 42.48%。 Decawork 的每次訪問頁面為 2.64，跳出率為 12.06%。
Augment Code 的主要用戶是United States, India, China, Vietnam, United Kingdom，分佈如下：20.37%, 14.10%, 9.22%, 6.34%, 5.47%。
Decawork 的主要用戶是 India，分佈如下：100.00%。
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