Claw Code VS Folk
Claw Code VS Folk 对比，Claw Code 和 Folk 有什麼區別？
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總結
Claw Code 總結
Claw Code 著陸頁
Folk 總結
Folk is your AI friend that lives in any messaging app: iMessage, Telegram, Discord, and more. It joins meetings, plans your date, knows where you are, and gets smarter with every conversation. The longer you use it, the more it knows you. And now it's multiplayer, so you and your friends can team up and reach your goals together.
Folk 著陸頁
比較詳情
Claw Code 詳細信息
| 類別 | AI 代理, AI 程式碼助理, AI 開發者工具, AI Copilot |
| Claw Code 網站 | https://claw-code.codes?utm_source=toolify |
| 添加時間 | 2026年4月1日 |
| Claw Code 定價 | -- |
Folk 詳細信息
| 類別 | AI 代理, AI助理, AI聊天機器人 |
| Folk 網站 | https://getfolk.app?utm_source=toolify |
| 添加時間 | 2026年6月6日 |
| Folk 定價 | -- |
使用對比
如何使用Claw Code？
To use Claw Code, clone the repository from GitHub using 'git clone', install the Python dependencies with 'pip install -r requirements.txt', and launch the agent by running 'python src/main.py'.
如何使用Folk？
To use Folk, users start by trying the service through a supported messaging app like iMessage or Telegram. You give instructions directly in the chat interface—such as asking it to watch a price, book a table, or track a flight. The AI executes the tasks in the background using its connected tools and texts updates when something changes.
比較 Claw Code 和 Folk 的優點
Claw Code 的核心功能
- Multi-agent swarm orchestration for parallel tasks
- Plugin-based system with ~40 permission-gated tools
- Provider-agnostic LLM layer supporting multiple models
- High-performance core runtime implemented in Rust
- Multi-layer memory management for project context
- Bidirectional IDE bridge for terminal and editor sync
Folk 的核心功能
- Messaging App Integration (iMessage, Telegram, Discord)
- Persistent Memory and Private Context Graph
- Multiplayer collaboration via Folk Crew
- 24/7 Automated Tool Connections (GitHub, Calendar, Notion, Banks, Polymarket)
- Built-in computing environment for running code and browsing the web
比較用例
Claw Code 的用例
- Autonomous codebase editing and test execution
- Decomposing large engineering tasks into parallel sub-agent workflows
- Self-hosted AI coding assistant using local or proprietary LLMs
- Automating complex Git operations and shell-based development tasks
Folk 的用例
- Planning an entire date night including restaurant research and booking
- Setting up constant alerts for housing platform listings to assist in apartment hunting
- SSHing into laptops to monitor machine learning finetuning jobs 24/7 via phone text instructions
Claw Code 和 Folk 之間的計劃不同
Claw Code
對不起，沒有數據
Folk
$20 / mo
Your personal AI, always on. iMessage and Telegram always reachable, persistent memory, web browsing, code execution, and tool connections to GitHub, Calendar, Notion, and more.
$100 / mo
Everything in Pro, plus the best AI reasoning models available, priority support with zero queue, 2x daily message capacity, and first access to new features and beta capabilities.
$5 / mo
Discounted plans available for verified university students under 26 worldwide, or users using phone numbers from emerging markets like India, Brazil, Turkey, and Kazakhstan.
Claw Code 的流量
Claw Code 是月访问量為 102.2K 且平均訪問時長為 00:00:23 的工具。 Claw Code 的每次訪問頁數為 1.75，跳出率為 42.67%。
最新網站流量
| 月訪問量 | 102.2K |
| 平均訪問時長 | 00:00:23 |
| 每次訪問頁數 | 1.75 |
| 跳出率 | 42.67% |
Folk 的流量
Folk 是月访问量為 33.9K 且平均訪問時長為 00:02:08 的工具。 Folk 的每次訪問頁數為 2.43，跳出率為 55.61%。
最新網站流量
| 月訪問量 | 33.9K |
| 平均訪問時長 | 00:02:08 |
| 每次訪問頁數 | 2.43 |
| 跳出率 | 55.61% |
地理流量
The top 5 countries/regions for Claw Code are:China 16.38%, United States 7.69%, India 6.95%, Senegal 6.69%, Germany 5.97%
Top 5 Countries/regions
 | 16.38% |
 | 7.69% |
 | 6.95% |
 | 6.69% |
 | 5.97% |
地理流量
The top 2 countries/regions for Folk are:United States 99.88%, Thailand 0.12%
Top 2 Countries/regions
| 99.88% |
 | 0.12% |
網站流量來源
Claw Code 的 6 個主要流量來源是：vs_sourcesSearchOrganic 66.51%, 直接 16.44%, vs_sourcesSocialOrganic 7.93%, 引薦 6.65%, vs_sourcesGenAi 2.40%, 郵件 0.07%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSearchOrganic | 66.51% |
直接 | 16.44% |
vs_sourcesSocialOrganic | 7.93% |
引薦 | 6.65% |
vs_sourcesGenAi | 2.40% |
郵件 | 0.07% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
網站流量來源
Folk 的 6 個主要流量來源是：直接 68.84%, vs_sourcesSocialOrganic 16.20%, vs_sourcesSocialPaid 6.87%, vs_sourcesSearchOrganic 4.39%, vs_sourcesDisplayAds 1.98%, 引薦 1.71%, 郵件 0.00%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesSearchPaid 0.00%
直接 | 68.84% |
vs_sourcesSocialOrganic | 16.20% |
vs_sourcesSocialPaid | 6.87% |
vs_sourcesSearchOrganic | 4.39% |
vs_sourcesDisplayAds | 1.98% |
引薦 | 1.71% |
郵件 | 0.00% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSearchPaid | 0.00% |
Claw Code 或 Folk哪個更好？
Claw Code 可能比 Folk 更受歡迎。如您所見，Claw Code 每月有 102.2K 次訪問，而 Folk 每月有 33.9K 次訪問。 所以更多的人選擇Claw Code。 因此，人們很可能會在社交平台上更多地推薦 Claw Code。
Claw Code 的平均訪問持續時間為 00:00:23，而 Folk 的平均訪問持續時間為 00:02:08。 此外，Claw Code 的每次訪問頁面為 1.75，跳出率為 42.67%。 Folk 的每次訪問頁面為 2.43，跳出率為 55.61%。
Claw Code 的主要用戶是China, United States, India, Senegal, Germany，分佈如下：16.38%, 7.69%, 6.95%, 6.69%, 5.97%。
Folk 的主要用戶是 United States, Thailand，分佈如下：99.88%, 0.12%。
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