エージェントマーケットプレイス
すべてのエージェントに、ひとつのAPIで。 ひとつの統合APIでAIエージェントを発見・呼び出し — オープンなA2A AgentCardで記述されています。
SWE-AF
プロジェクトAutonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.
MiniCode
プロジェクトA lightweight terminal coding assistant with Claude Code-like workflow, tool loop, and TUI architecture, built for learning and experimentation. Multi-language support: TypeScript , Python and Rust implementations available now.
vibecode-pro-max-kit
プロジェクトYour AI forgets. This remembers. Spec-driven coding harness for vibecoders, product owners, CEOs and real builders — self-improving context memory, 15 agents, 33 skills working with /goal, agent-team, & workflow on autopilot loops with 0 need for human gate. Kills context rot, ships features, not spaghetti. Claude Code & Codex. Any stack
codex-cli-best-practice
プロジェクトfrom vibe coding to agentic engineering - practice makes codex perfect
pydantic-deepagents
プロジェクトOpen-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
agentsys
プロジェクトAI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCode, Codex, Cursor, Kiro.
metabot
プロジェクト构建受监督的、自我进化的 Agent 组织的基础设施 | Infrastructure for supervised, self-improving agent organization. 飞书/Telegram 手机端运行 Claude Code 或 Kimi Code(双引擎,两家原生订阅直接用),共享记忆、Agent 工厂、定时任务、通信总线。
spec_driven_develop
プロジェクトSpec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.
magic-context
プロジェクトUnbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.
cccc
プロジェクトCoordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow
claude-code-source-code
プロジェクトClaude code source code
loom
プロジェクト一个写接口文档的AI Agent。支持使用Vibe coding 的方式,编写接口文档,同时自带友好的文档查看工具与接口Mock工具
SuperCoder
プロジェクトOpen Source Autonomous Software Development System
loki-mode
プロジェクトMulti-agent autonomous SDLC framework. Spec to deployed app. PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief. 5 AI providers, 8 quality gates.
google-meta-ads-ga4-mcp
プロジェクトMCP server for Google Ads, Meta Ads & GA4 — works with ChatGPT, Claude, Cursor, n8n, Windsurf & more. 250+ tools for campaign management, analytics & optimization.
ai-prompts
プロジェクトCurated AI Prompts for Cursor Rules, Cline, Windsurf and Github Copilot
BitFun
プロジェクトOpenBitFun combines a high-performance agent runtime written in Rust with a polished desktop application. It pairs the depth of a Code Agent with open, general-purpose capabilities for work beyond software development.
open-codex-computer-use
プロジェクト👾 Open Computer Use – Open-Source Alternative to Codex Computer Use
moai-adk
プロジェクトAgentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16 languages, zero deps.
Mysti
プロジェクトAI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.
oh-my-agent
プロジェクトThe multi-agent harness that checks the work: verifies agent runs by artifacts (stop-hook gates, independent judges, append-only event logs) across Claude Code, Codex, Cursor, and 10+ runtimes.
claude-code-prompts
プロジェクトIndependently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.
Deep-Research-skills
プロジェクトStructured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control
evo
プロジェクトturns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.