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
Опубликовано на Infostart: https://infostart.ru/1c/tools/2720241/
A progressive AI Agent Harness tutorial written in Rust.
Installing MCPs is a huge pain, so I made a CLI tool to make it easier.
Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.
A starting point for Claude Code to Codex collaboration
IDE-style navigation for structured data — code, JSON, YAML. Jump to definitions, find callers, follow references. Available as an MCP server or a mounted folder.
- — MCP Protocol v2 (spec revision 2026-07-28, streamable HTTP) and experimental StrongDM API support are here — see the release notes.
Local-first memory layer for CLI agents. Indexes Claude Code, Codex CLI, and Cursor session histories into SQLite + FTS5 — searchable from a CLI, TUI, or MCP server so your next agent session can...
Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients
Self-hosted audit trail for AI agents — one command or one dashboard click from any step back to root cause.
Every local AI coding session in one tab: Claude Code, Codex and OpenCode in a single list, with a queue you can schedule and isolated Claude Desktop instances kept apart. Local, private, MCP-native.
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
Agent Skills
即梦 是字节跳动的多模态 AI 视频生成模型，支持图片 / 视频 / 音频混合输入，可生成 4–15 秒的高质量视频。
Thirteen curated Agent Skills package the steps, templates, scripts, examples, and quality gates behind repeatable work. They follow the open SKILL.
JSON spec -> .excalidraw + .png + animated .gif
A Next-Gen AI Agent Platform & Desktop Control Plane 中文文档 | Features | Getting Started | Architecture
Give an AI agent a link to an OpenAPI spec, GraphQL schema, or MCP server and get back a ready-to-use Agent Skill with wrapper scripts, references, and usage notes.
一个适配 Claude Code / Codex 等 Agent 环境的配图 Skill，用来把文章、笔记、图表截图、产品概念、工作汇报、教学材料和人文观点，生成**。
Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.
Agent skills and a reference guide that teach AI coding assistants to write Rails the 37signals way — extracted from Fizzy, Campfire, and 100+ of DHH's code reviews.
本 Skill 将数学建模任务拆分为 三个阶段。既可以按顺序完成整道题，也可以只执行其中一个阶段。
A curated marketplace of Claude Code plugins for software engineering workflows.
My personal library of domain-agnostic agent skills, reused across every project. Small, composable, and hackable — works with any harness that supports skills: Claude Code, Codex, opencode, Cursor,...
The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.