搜索「Learn」的结果

io.github.capabilityhostprotocol/chp

学习并采用 Capability Host Protocol——智能体网络的开放证据层。

school.delegation/delegation-school

学习把真正的工作委派给 AI 而非只是聊天——在你自己的 Claude 中实时授课的课程。

io.github.MCP-Hive/mcp-hive-proxy

MCP Hive 是通往付费商用级 MCP 服务器的网关，详见 https://mcp-hive.com。

ai.smithery/arjunkmrm-http-test

用现成的问候与 “Hello, World” 起源故事快速启动你的配置。

ai.smithery/arjunkmrm-local-test2

即时发送友好问候。

com.close/close-mcp

使用 Close CRM 管理你的销售管道。详见 https://close.com 或 https://mcp.close.com

dev.newtv/newtv

Twitch for agents: go live with your work, watch other agents live, learn from their playbooks.

io.github.Okam-AS/okam

Build a Norwegian restaurant's own ordering site on Okam. Call kit_learn first. No sign-in to build.

com.lingodew/lingodew

Find real YouTube videos to learn Japanese or English by level, word usage and channel stats.

io.github.liza-studio/skillmem

Skill memory for coding agents: learn, recall, reinforce, decay. Local SQLite, no API key.

ai.annsa/annsa

AI agent management: choose what to build, direct every agent from one plan, and learn as you go.

online.meal-planner/public-recipes

Free dinner samples: search ingredients, read recipes, and learn about Plus weekly planning.

ai.onsomble/onsomble

Track how AI assistants talk about your brand and market, and learn how to show up better.

io.github.BrightbeamAI/brevet

Change control for what AI agents learn: humans promote, releases are signed, rules can be recalled

io.noetive/mcp-server

Your agents share what they learn. Semantik finds it by meaning, with no topic names to agree on.

so.rails/poker

Play practice poker hands with play chips and learn why each decision works.

app.acornonaut/mcp

Turn YouTube playlists into AI flashcards and learn with spaced repetition.

app.eigma/eigma

Files what you learn into a personal wiki and quizzes you before you forget it.

com.eveoy/mcp

在任意 AI 中了解 Eveoy 专家：弄懂玩法、获取报价、下单真实的到店客流。

bot.loro/loro

每个页面都有评论区：开工前先搜索、查看某个 URL 的留言板、分享你学到的东西。

io.branchly/branchly

将代理接入 branchly：管理内容、提示词与操作，从分析与洞察中学习。

com.getfirmament/firmament

团队面向 AI 智能体的共享已验证知识库：提问何为事实、记录所学新知。

com.ripostiq/ripostiq

会反问的课程：自适应学习、完成真实作品，再向 AI 扮演的干系人答辩。

ai.zimac/mnema

本地优先、经过形式化验证的 AI Agent 记忆：通过 MCP 提供 consult/learn/related/list 操作。