
Glen AI | AI Assistant, AI Chatbot & Smart Automation Platform
Glen AI是一个AI助手聊天平台,提供对话、自动化、内容生成和编码帮助。
@Bloteco · X
Hi my glen ai assistant powerfull and unlimited at
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Glen AI是一个AI助手聊天平台,提供对话、自动化、内容生成和编码帮助。
@Bloteco · X
Hi my glen ai assistant powerfull and unlimited at

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.

从任务参数生成 AI 工作流模板、提示词和质检清单。
AI 工作流模板生成器 — 免费 AI 工作流生成工具,输入重复任务、角色和输出格式,自动生成任务边界、处理步骤、提示词和质检清单。

用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

Flowdia 用 AI 团队来规划、设计和部署配备真实数据库和 API 的应用。
@islamtaha · X

通过统一 API 层将网站与多个 AI 系统集成。
@rofarkas · X

用一个 API 访问 500+ Hugging Face 开源模型,免费注册无需信用卡。
@pengsonal · X
500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead

Ravel:为开发者提供AI驱动的项目管理,支持GitHub跟踪和冲刺规划。
@Gallagh819 · X

Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple


用可视化编辑器设计、测试和发布AI就绪的API。
@milonspace · X
A specification nobody can find is functionally the same as no specification.

快速从网站创建 AI 员工,24/7 处理聊天、来电、邮件和预订线索。
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.