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HumanLayer VS Folk

HumanLayer VS Folk 对比,HumanLayer 和 Folk 有什麼區別?

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總結

HumanLayer 總結

HumanLayer is an API and SDK that enables tool-calling AI Agents to contact humans for help, feedback, and approvals.

HumanLayer 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

HumanLayer 詳細信息

類別 AI 代理, AI API, AI 開發者工具, AI 工作流程, 大型語言模型 LLMs
HumanLayer 網站 https://humanlayer.dev?utm_source=toolify
添加時間 2024年12月7日
HumanLayer 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HumanLayer?

Integrate the HumanLayer SDK into your AI agent workflow. Use the @hl.require_approval() decorator to block function calls requiring human oversight. Contact humans through various channels and route approvals to specific teams or individuals.

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 HumanLayer 和 Folk 的優點

HumanLayer 的核心功能

  • Require Human Approval for Function Calls
  • OmniChannel Contact (Slack, Email, Discord)
  • Advanced Approval Workflows with Escalations and Timeouts
  • Human as Tool (hl.human_as_tool())
  • Granular Routing of Approvals
  • LLM and Framework Agnostic

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

HumanLayer 的用例

  • AI agents requiring human approval for critical decisions.
  • Workflows needing human feedback to improve agent performance.
  • Agentic AI workflows that need human oversight for production-grade reliability.
  • Automated lead generation with human feedback on lead quality.

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

HumanLayer 和 Folk 之間的計劃不同

HumanLayer

Starter

$0/month

Free forever for Hackers and Tinkerers. Works with all popular frameworks. 100 operations/month. Pay as you go ($20/200 addt'l). Send to Slack, Email, Discord. Up to 10 active users. Limited Data Retention.

Premium

$500/month

Collaborate and scale. Remove HumanLayer Branding (BYO app/keys). Includes 2000 operations/month ($18/200 add'l). Advanced Approval Workflows w/ Escalations and Timeouts. Learning and Auto Approvals. Channels for MSTeams, SMS, RCS. Priority Support. 180-day retention on feedback datasets export.

Enterprise

Custom

Deploy into your Private VPC or on-prem. RBAC and SSO support. Volume discounts. Custom notification channels. Expert Advice on custom-built agents for sales, marketing, hiring, and more.

Folk

Pro

$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.

Max

$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.

Student / Regional

$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.

比較流量/每月訪客量

HumanLayer 的流量

HumanLayer 是月访问量為 197.4K 且平均訪問時長為 00:00:24 的工具。 HumanLayer 的每次訪問頁數為 1.54,跳出率為 48.52%。

最新網站流量

月訪問量 197.4K
平均訪問時長 00:00:24
每次訪問頁數 1.54
跳出率 48.52%
Aug 2024 - May 2026 所有流量:

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%
Feb 2026 - May 2026 所有流量:

地理流量

The top 5 countries/regions for HumanLayer are:Vietnam 21.08%, United States 10.63%, China 6.89%, India 3.53%, South Korea 2.74%

Top 5 Countries/regions

Vietnam
21.08%
United States
10.63%
China
6.89%
India
3.53%
South Korea
2.74%

地理流量

The top 2 countries/regions for Folk are:United States 99.88%, Thailand 0.12%

Top 2 Countries/regions

United States
99.88%
Thailand
0.12%

網站流量來源

HumanLayer 的 6 個主要流量來源是:vs_sourcesSearchOrganic 41.63%, 直接 27.16%, 引薦 15.87%, vs_sourcesSocialOrganic 11.21%, vs_sourcesGenAi 3.42%, 郵件 0.71%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%

vs_sourcesSearchOrganic
41.63%
直接
27.16%
引薦
15.87%
vs_sourcesSocialOrganic
11.21%
vs_sourcesGenAi
3.42%
郵件
0.71%
vs_sourcesAffiliate
0.00%
vs_sourcesDisplayAds
0.00%
vs_sourcesSearchPaid
0.00%
vs_sourcesSocialPaid
0.00%
Aug 2024 - May 2026 僅限全球桌面設備

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%
Feb 2026 - May 2026 僅限全球桌面設備

HumanLayer 或 Folk哪個更好?

HumanLayer 可能比 Folk 更受歡迎。如您所見,HumanLayer 每月有 197.4K 次訪問,而 Folk 每月有 33.9K 次訪問。 所以更多的人選擇HumanLayer。 因此,人們很可能會在社交平台上更多地推薦 HumanLayer。

HumanLayer 的平均訪問持續時間為 00:00:24,而 Folk 的平均訪問持續時間為 00:02:08。 此外,HumanLayer 的每次訪問頁面為 1.54,跳出率為 48.52%。 Folk 的每次訪問頁面為 2.43,跳出率為 55.61%。

HumanLayer 的主要用戶是Vietnam, United States, China, India, South Korea,分佈如下:21.08%, 10.63%, 6.89%, 3.53%, 2.74%。

Folk 的主要用戶是 United States, Thailand,分佈如下:99.88%, 0.12%。

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