Multi Agent Systems
Top open-source Multi Agent Systems AI systems, agents, and MCP tools.
Discover and install verified Multi Agent Systems AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (24)
Open in Advanced FilterCost-aware multi-agent orchestrator kit for OpenCode CLI — one routing agent, 14 specialized subagents, zero application code touched by the router.
This is end to end course on AI Agents and Agentic AI with 15+ AI Agent Projects with real time use cases and industry expertise.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Autonomous AI-agent orchestration engine for job discovery with decision traces, tool adapters, and production-grade run control.
Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude Code, Codex, Grok Build or any AI Agent from one dashboard. Move Agents between computers and locations
Real-time multi-AI collaboration: Claude, Codex & Gemini with persistent context, minimal token overhead
Structured multi-perspective deliberation for hard decisions. Run full councils, focused triads, or duo debates across Claude Code, Codex, Gemini CLI, and OpenCode.
MCP server for autonomous agent economies: wallets, signed RTC micropayments, bounty discovery, BoTTube video publishing, and Beacon agent-to-agent messaging. Give your AI agent an income. Built on createkr's RustChain SDK.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.
Nimbalyst - The open-source visual workspace for Claude Code, Codex, and OpenCode. Run multiple coding agents in parallel, edit their work visually in markdown, mockups, and diagrams, and track tasks. Free, MIT-licensed desktop app for macOS, Windows, Linux, with mobile companion for iOS and Android.
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
Real-time multi-AI collaboration: Claude, Codex & Gemini with persistent context, minimal token overhead
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
🏄 Dream XI AI turns isolated AI agents into a World Cup-level dream team.🏄 Dream XI AI 是一个面向复杂任务执行的 Multi-Agent 协作平台，借鉴足球“梦之队”阵型理念，将不同能力的 AI Agent 抽象为队长、组织核心、前锋、后卫、门将等角色，实现任务规划、工具执行、结果评审、风险拦截和最终交付的协同闭环。
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
rUv's Claude-Flow, translated to the new Gemini CLI; transforming it into an autonomous AI development team.
Teams-first Multi-agent orchestration for Claude Code
Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video
The rules layer for AI-written code — rig-lite: a fail-closed cross-model review gate, a written constitution, git-versioned memory. Any harness, any repo. v1-4 were the agentic dev environment.
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