SeekStorm
SeekStorm
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
1.9KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
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Results: 200
Build Your Own Openclaw
czl9707
A step-by-step guide to build your own AI agent.
1.8KGitHub
Knowhere
Ontos-AI
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
1.8KGitHub
BuildingAI
BidingCC
AI时代的WordPress，东半球首个积木式AI应用搭建系统，人人都可免费搭建自己的AI应用系统，例如企业智能体系统、AI漫剧系统、AI论文学术系统、AI客服系统...
1.8KGitHub
Agent
stakpak
Ship your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀
1.6KGitHub
Adk Java
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
1.6KGitHub
AIWriteX
iniwap
AIWriteX - 微信公众号全自动AI工具：全网热搜舆情聚合+趋势分析+爆款选题+文章采集+一键生成排版发布 | AI自动配图 | 去AI味、过朱雀检测 | 支持小红书/百家号等多平台 | 洗稿润色支持多账号 | 专家赛道 | 手机控制 | 小说连载 | 爆文10w+神器
1.6KGitHub
MemoryOS
BAI-LAB
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
1.6KGitHub
ComfyUI Copilot
AIDC-AI
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
5.5KGitHub
MineContext
volcengine
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
5.4KGitHub
Amazon Bedrock Samples
aws-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
1.4KGitHub
Aideml
WecoAI
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
1.4KGitHub
ClawTeam OpenClaw
win4r
ClawTeam fork fully adapted for OpenClaw — multi-agent swarm coordination with OpenClaw as the default agent
1.4KGitHub
Llm Agents.Nix
numtide
Nix packages for AI coding agents and development tools. Automatically updated daily.
1.4KGitHub
LLM Engineers Handbook
PacktPublishing
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
5.2KGitHub
Aws Genai Llm Chatbot
aws-samples
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) us…
1.4KGitHub
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Frontend and UI skills →
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
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Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research and RAG skills →
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Finance and trading skills →
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Web scraping skills →
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Design and creative skills →
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data and analytics skills →
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.
Marketing and growth skills →
SEO, content research, growth workflows, social listening, campaign analysis, and publishing helpers.