开发者工具4 days ago · 1 次试用
Kit for AI — The Memory Layer for AI Agents
为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
Open source
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
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技术栈
22 projects
为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
在统一终端中同步管理多个AI代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)
在一个工作区对比并运行多个AI模型生成文本、图像和视频。
AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)
通过 AI-powered chatbot、knowledge base 和 workflow 工具自动化客户支持。
@Harshwardh3263 · X
Tired of answering the same customer questions? Let handle your customer support 24/7.
Unrot：每日编程挑战助你保持开发技能敏锐，享受AI辅助和连续打卡。
u/Administrative_Egg78 · Reddit
I built this because AI was making me a dumb&lazy engineer I noticed something sad about how I use AI. I was shipping faster, but practicing less. I could get answers quickly, but I was losing the habit of working through the fundamentals myself. So I built Unrot: short daily challenges for developers across languages, system design, architecture, data engineering, and other tracks. Game/xp and rewards system, a tiny bit competitive. No signup required to try it: https://unrot.dev
编写目标，AI代理（Claude、Cursor、Codex）分解并执行编程任务。
dudemanAtl · HN
PlanWright – A control plane for AI coding agents
诊断你在技术领域的知识空白，获得个性化AI学习计划。
u/safi1409 · Reddit
I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act
