暂未收录效果图
查看技能说明Khoj
khoj-ai
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM int…
OPENAGENTSKILL / DIRECTORY
为下一项任务找到合适的技能。探索适用于 Codex、Claude Code、Cursor 等 Agent 的工具。
1,687 Skills
搜索结果: 1687
暂未收录效果图
查看技能说明khoj-ai
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM int…
暂未收录效果图
查看技能说明langchain-ai
Build resilient agents.
暂未收录效果图
查看技能说明VectifyAI
暂未收录效果图
查看技能说明microsoft
A modular graph-based Retrieval-Augmented Generation (RAG) system
暂未收录效果图
查看技能说明bentoml
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
暂未收录效果图
查看技能说明lutzroeder
暂未收录效果图
查看技能说明searxng
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
暂未收录效果图
查看技能说明microsoft
Compose enterprise LLM agents and plugins
暂未收录效果图
查看技能说明onyx-dot-app
Open Source AI Platform - AI Chat with advanced features that works with every LLM
暂未收录效果图
查看技能说明langfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK,…
暂未收录效果图
查看技能说明simstudioai
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
暂未收录效果图
查看技能说明any4ai
AnyCrawl 🚀: A Node.js/TypeScript crawler that turns websites into LLM-ready data and extracts structured SERP results from Google/Bing/Baidu/etc. Native multi-threading…
暂未收录效果图
查看技能说明alibaba
Agentic AI Framework for Java Developers
暂未收录效果图
查看技能说明NirDiamant
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
暂未收录效果图
查看技能说明getzep
暂未收录效果图
查看技能说明HumanSignal
Label Studio is a multi-type data labeling and annotation tool with standardized output format