Claw Code VS Folk
Claw Code VS Folk对比，Claw Code 和 Folk 有什么区别？
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总结
Claw Code 总结
Claw Code 着陆页
Folk 总结
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 着陆页
比较详细信息
Claw Code 详细信息
| 类别 | AI智能体, AI代码助手, AI开发者工具, AI智能助手 |
| Claw Code 网站 | https://claw-code.codes?utm_source=toolify |
| 添加时间 | 2026年4月1日 |
| Claw Code 定价 | -- |
Folk 详细信息
| 类别 | AI智能体, AI助手, AI聊天机器人 |
| Folk 网站 | https://getfolk.app?utm_source=toolify |
| 添加时间 | 2026年6月6日 |
| Folk 定价 | -- |
使用情况比较
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.
比较 Claw Code 和 Folk 的优势
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
比较使用案例
Claw Code的使用案例
- 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的使用案例
- 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的不同计划
Claw Code
对不起，没有数据
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 是月访问量为 53.9K 且平均访问时长为 00:00:19 的工具。 Claw Code 的每次访问页数为 1.69，跳出率为 40.47%。
最新流量情况
| 月访问量 | 53.9K |
| 平均·访问时长 | 00:00:19 |
| 每次访问页数 | 1.69 |
| 跳出率 | 40.47% |
Folk的流量
Folk 是月访问量为 36.3K 且平均访问时长为 00:02:05 的工具。 Folk 的每次访问页数为 2.10，跳出率为 60.16%。
最新流量情况
| 月访问量 | 36.3K |
| 平均·访问时长 | 00:02:05 |
| 每次访问页数 | 2.10 |
| 跳出率 | 60.16% |
地理位置
Claw Code 的前 5 个国家/地区是：United States 18.49%, Czech Republic 8.12%, Vietnam 6.68%, India 6.21%, Senegal 4.32%
Top 5 国家/地区
 | 18.49% |
 | 8.12% |
 | 6.68% |
 | 6.21% |
 | 4.32% |
地理位置
Folk 的前 4 个国家/地区是：United States 90.10%, India 7.15%, Thailand 1.46%, Turkey 1.30%
Top 4 国家/地区
| 90.10% |
| 7.15% |
 | 1.46% |
 | 1.30% |
流量来源
Claw Code 的 6 个主要流量来源是：vs_sourcesSearchOrganic 77.84%, 直接访问 18.14%, 外链引荐 2.21%, vs_sourcesGenAi 1.57%, 邮件 0.24%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%, vs_sourcesSocialOrganic 0.00%
vs_sourcesSearchOrganic | 77.84% |
直接访问 | 18.14% |
外链引荐 | 2.21% |
vs_sourcesGenAi | 1.57% |
邮件 | 0.24% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
vs_sourcesSocialOrganic | 0.00% |
流量来源
Folk 的 6 个主要流量来源是：直接访问 57.08%, vs_sourcesSocialOrganic 19.82%, vs_sourcesSocialPaid 10.15%, vs_sourcesSearchOrganic 8.06%, 外链引荐 3.13%, vs_sourcesDisplayAds 1.40%, vs_sourcesGenAi 0.37%, 邮件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesSearchPaid 0.00%
直接访问 | 57.08% |
vs_sourcesSocialOrganic | 19.82% |
vs_sourcesSocialPaid | 10.15% |
vs_sourcesSearchOrganic | 8.06% |
外链引荐 | 3.13% |
vs_sourcesDisplayAds | 1.40% |
vs_sourcesGenAi | 0.37% |
邮件 | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSearchPaid | 0.00% |
Claw Code 或 Folk哪个更好？
Claw Code 可能比 Folk 更受欢迎。如您所见，Claw Code 每月有 53.9K 次访问，而 Folk 每月有 36.3K 次访问。 所以更多的人选择了Claw Code。 因此，人们很可能会在社交平台上更多地推荐 Claw Code。
Claw Code 的平均访问持续时间为 00:00:19，而 Folk 的平均访问持续时间为 00:02:05。 此外，Claw Code 的每次访问页面为 1.69，跳出率为 40.47%。 Folk 的每次访问页面为 2.10，跳出率为 60.16%。
Claw Code 的主要用户是United States, Czech Republic, Vietnam, India, Senegal，分布如下：18.49%, 8.12%, 6.68%, 6.21%, 4.32%。
Folk 的主要用户是 United States, India, Thailand, Turkey，分布如下：90.10%, 7.15%, 1.46%, 1.30%。
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