Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
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
通用盗号网站注册轰炸机 适用于针对QQ、Steam等平台的各类盗号网站
A to run (Anthropic) on the host via the claude CLI (Agent SDK).
A compact high-signal benchmark for evaluating frontier agents
这是一个面向 LSPosed 模块开发 的低 Token Skill 包。它保留完整知识，但通过“启动版 + 按需知识库 + 模板 + 案例索引”的结构降低常驻上下文占用。
simple, type safe, elegant command line framework. the CLI framework for agents
Skills helping you write robust Zig code.
A coding agent harness built specifically for Motif-3
Official plugin marketplace repository for PI-Desktop
ReasBook main branch mirror for self-hosted CI
A single, readable bash script that takes a fresh Ubuntu/Debian VPS from default install to a hardened, ready-to-use server.
Skill for Hermes, and other agents, to ask typesafe's jev
A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference