Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Add vision to text-only models in Opencode (, ) — , no manual file saving.
Open-source, local-first memory and context for AI agents. One memory store, every agent.
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
Self-hosted, agent-native web app and MCP server for your Obsidian-style Markdown vault. Browse, search, and edit notes from a fast UI or from AI agents.
个人知识库 MCP 服务器 — 对本地文档建立索引，并提供一组飞书 API 工具，通过 MCP 协议供 AI 客户端访问。
LogLead performs log loading, log enhancement, log feature engineering, log analysis, log anomaly detection also via MCP-server.
Agent Skills
An OpenCode and Codex CLI plugin that bundles agent skills, MCP servers, parallel execution, and superpowers into a single install.
A collection of reusable skills that give AI Agents expertise in Flux CD, Kubernetes, and GitOps best practices for generating manifests, answering Flux questions, auditing repository structure,...
hardhat deployment plugin
AI-powered open-source framework for vibe-coding audio plugins from concept to shipped product
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
Web UI · REST API · CLI · 40+ models · 11+ databases
Install focused Agent Skills from one trusted source, with complete payloads and independently verified releases.
國立成功大學 資訊工程研究所 ｜ 114 學年度 第 2 學期 ｜ 3 學分 授課教師：莊坤達 ([email protected])
Local AI app and inference engine for agents. Run open-weight LLMs locally — private, on your machine.
⚡️🎉A PyTorch-native Inference Engine with Cache, Parallelism, Quantization and CPU Offload for DiTs
für die anwaltliche Praxis im deutschen Recht – Skills, Sub-Agenten, Workflows etc. als Anregung für Kanzlei-Arbeitsabläufe.
Resource as Code for Apache Kafka and beyond Topics, ACLs, schemas, quotas, and connectors: declared in Git, reconciled against your real clusters. Kafka-first. Platform-ready.