v14.0.0 · Apache-2.0
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 285 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.
v2.11.2 · Apache-2.0
Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman collections, OpenAPI specs, and environments via Model Context Protocol (MCP)
v1.22.0 · MIT
Mission control for AI coding agents - run 20 autonomous agents with real-time monitoring and session persistence
v0.2.5 · Apache-2.0
AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness.
v0.20.3 · MIT
Memory for coding agents — Claude Code, Codex, Cursor and 17 others. Indexes the sessions they already wrote to disk, including months from before you installed it, and recalls them in any of them. No LLM, no embeddings, one local Go binary.
v0.14.17 · MIT
iCloud for AI Agents — cross-agent sessions, skills, memory, and vault.
v2.1.0 · MIT
Use Claude Code like a Director, not a Programmer. MIT toolkit with Auto-Loop, guided setup, 27 commands, 14 agents, and 32 skills.
v0.22.1 · MIT
Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.
v2.8.8 · MIT
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
v1.16.0 · MIT
Make any repo AI-first - write sustainable code from the start, or refactor a legacy codebase to prepare it for agent-driven development.Building blocks for Claude Code: subagents, slash commands, hooks, and workflow patterns. Copy what you need. A working developer's stack for Claude Code.
v2.0.2 · Apache-2.0
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
v0.13.0 · MIT
Memory for coding agents — Claude Code, Codex, Cursor and 17 others. Indexes the sessions they already wrote to disk, including months from before you installed it, and recalls them in any of them. No LLM, no embeddings, one local Go binary.
— · MIT
WorkOS Skills for AI coding agents — AuthKit, SSO, Directory Sync, RBAC, and more
v4.12.4 · MIT
Structured project lifecycle plugin for Claude Code — from idea to production with discipline, parallel agents, and quality gates.
— · MIT
Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence
— · no license
Minimal by design, explicitly multi-lang, production-ready and battle-tested collection of configs and plugins for your Claude Code agentic development workflows: mcp, configs, skills, agents and more.
v3.22.0 · MIT
Loop engineering for AI coding agents — turn ad-hoc sessions into a repeatable research → plan → wave-execute → close loop with verification gates. Runs on Claude Code, Codex CLI, Cursor, and Pi. MIT community plugin.
v2026.04.26.2 · MIT
Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.
v1.0.0 · MIT
A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw
v1.1.0 · MIT
🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
v0.3.0 · MIT
Documentation memory for AI coding agents—route project knowledge, reduce repeated context loading, and validate living Markdown docs.
v1.78.1 · MIT
Spec-driven development framework — AI agents that think before they type
v2.1.2 · AGPL-3.0
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode/Cursor/Grok/GitHub Copilot/Kiro/Z.AI/MiniMax/Kimi(200+ models, 75+ LLM providers, free models no auth). Build your AI company with multiple teams