AI 智能体1 month ago
Artiphik · The AI agent for YouTubers.
为YouTubers提供视频评论、内容规划和标题、缩略图、脚本自动生成的AI助手。
@rahamanbinujit · X
- The AI agency for YouTubers
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为YouTubers提供视频评论、内容规划和标题、缩略图、脚本自动生成的AI助手。
@rahamanbinujit · X
- The AI agency for YouTubers
输入产品名称生成专业Logo的AI设计工具。
Logent AI — 全球首个 AI Agent Logo 生成器；只需要输入产品名称/主要功能，自动生成合适的精美 Logo
Loopers是一个为AI代理提供故障闭合保护的反向代理和断路器。
varad-khoriya · HN
Loopers – Fail-closed reverse proxy and circuit breaker for AI agents
用 LLM 评估 AI agent 对话质量，提供评分卡和成本分析。
@tech_maju · X
Self-updating documentation for AI agents and humans. Open source alternative to Mintlify, ReadMe, and GitBook.
@papervine_io · X
The search engine for AI agents. Find any agent, tool, or MCP server in one place.
@gabriel_sstech · X
Just launched a Google-like index for the Agent Web. - MCP-first ranking - Public search + submit API - Manual review (no spam directory) - Empty-search logging to see what’s missing
Working Machines connects Codex, Claude, ChatGPT, Cursor, and custom agents to 1,400+ apps and 15,000+ actions through one secure application layer.
@KleiAliajj · X
Everyone is building AI agents. We’re building what they need to actually work. Give your codex , claude or any agent access to 1,400 apps and 15,000 actions and let it run your business.
Your AI Agent That Earns Money While You Sleep
@JoeKakssss · X
通过 REST API 和 MCP 为 AI 代理和创作者提供社交数据查询。
OneInterface · GitHub
stormy-cookbook Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.
RentAHuman是AI代理雇用真实人类完成任务的市场，支持MCP和API。
@rentahumanx · X
开源AI代理，理解代码库、生成代码并自动在GitHub上创建拉取请求。
u/shaurya-afk · Reddit
Looking for feedback on my open-source AI GitHub agent that understands repositories and opens PRs automatically Hi everyone, I've been building an open-source project called Nascent, and I'd love some honest technical feedback from developers who work on real GitHub repositories. The idea is simple: - Connect a GitHub repository - Ask for a feature, bug fix, or refactor in plain English - The agent analyzes the codebase - Generates the required changes - Shows a d
