Awesome Claude Multi-Agent [](https://awesome.re)

June 16, 2026 · View on GitHub

A curated list of frameworks, patterns, protocols, and case studies for multi-agent orchestration where Claude is a primary model.

Multi-agent here means coordinated systems of multiple agents across processes, not single-session Claude Code subagents.

Companion documents: glossary for terminology, pitfalls for failure modes, and security references.

Foundational Reading
Multi-Agent Patterns and Architectures
Orchestration Frameworks
Subagent Collections
Starter Templates and Examples
Skills, Hooks, and MCP for Coordination
Memory, State, and Communication
Standards and Protocols
Evaluation and Benchmarks
Datasets and Environments
Observability and Debugging
Security, Safety, and Trust
Research Papers
Case Studies and Production Postmortems
Talks, Courses, and Books
Community

Foundational Reading

Primary sources from Anthropic and seminal multi-agent LLM papers that establish the concepts behind this list. Listed chronologically.

ReAct: Synergizing Reasoning and Acting in Language Models - Interleaves reasoning traces with tool actions; baseline for tool-using agent orchestration (ICLR 2023).
Reflexion: Language Agents with Verbal Reinforcement Learning - Verbal self-reflection between attempts lets an actor agent learn from prior failures across episodes (NeurIPS 2023).
CAMEL: Communicative Agents for Mind Exploration - Cooperative role-playing via inception prompting; first scalable two-agent coordination paper (NeurIPS 2023).
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face - LLM controller plans tasks then delegates to specialist Hugging Face models; canonical orchestrator-of-models pattern (NeurIPS 2023).
Generative Agents: Interactive Simulacra of Human Behavior - Twenty-five LLM agents simulate daily life with memory, reflection, and planning (UIST 2023).
Self-Refine: Iterative Refinement with Self-Feedback - Generator, critic, and refiner roles within one model; defines the reflection pattern (NeurIPS 2023).
Improving Factuality and Reasoning via Multiagent Debate - Multiple LLM instances debate over rounds to improve factuality and reasoning (ICML 2024).
MetaGPT: Meta Programming for a Multi-Agent Collaborative Framework - SOP-encoded multi-agent software company with product manager, architect, and engineer roles (ICLR 2024).
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation - Framework for conversable multi-agent chat with customizable roles and tool access (ICLR 2024).
Mixture-of-Agents Enhances Large Language Model Capabilities - Layered LLM ensemble where each layer's agents read the previous layer's outputs (2024).
Building Effective Agents - Anthropic's reference patterns for agents: prompt chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizer (2024).
How We Built Our Multi-Agent Research System - Anthropic's engineering account of running parallel Claude orchestrator-worker research agents (2025).
Building Multi-Agent Systems: When and How to Use Them - Anthropic's guidance on the three cases where multiple agents help: context isolation, parallelization, and specialization (2026).

Multi-Agent Patterns and Architectures

Canonical coordination patterns with implementation references. See Foundational Reading above for the seminal papers.

Blackboard - Shared workspace where agents with varied roles read and write to a common store until consensus is reached.
Dynamic Agent Selection - Agents are chosen and wired into a communication structure on the fly per task; defined by the DyLAN network.
Hierarchical Role-Based - Structured agent hierarchy with defined SOPs per role; MetaGPT is the canonical implementation.
Market-Based Coordination - Agents act as market participants trading probabilistic beliefs to converge on shared, truthful outcomes.
Mixture-of-Agents - Layered aggregation where each layer's agents improve on the previous layer's proposals.
Multi-Agent Debate - Multiple instances independently reason then critique each other over iterative rounds.
Orchestrator-Worker - Lead agent plans and spawns parallel subagents; defined in Anthropic's agent design patterns guide.
Parallelization and Voting - Independent agents answer the same query and a majority vote selects the result; accuracy scales with agent count.
Recursive Task Decomposition - Tasks are decomposed into subtasks only when an agent cannot execute them directly; defined by ADaPT.
Reflection and Self-Critique - Actor produces output; critic proposes revisions; actor refines; loop until quality gate.
Sequential Handoff - One agent transfers control and context to a more specialized agent mid-conversation.
Supervisor with Tool Routing - Supervisor node routes to specialized agents via tool calls; reference implementation in LangGraph.

Orchestration Frameworks

Tools and libraries that coordinate multiple Claude instances or Claude-compatible agents across processes. Listed alphabetically.

AG2 - Apache-licensed AutoGen community fork providing multi-agent AgentOS primitives and active development.
AgentScope - Alibaba's distributed multi-agent platform with message-passing primitives, fault tolerance, and visual workflow studio.
Agno - High-performance Python framework for multi-agent teams with memory and knowledge; model-agnostic interface including Claude.
Atomic Agents - Schema-driven framework for building and chaining modular agents into multi-agent pipelines; Claude via Instructor.
AutoGen - Microsoft's conversable multi-agent framework; Claude supported via a custom model client extension.
BeeAI Framework - IBM-originated Python and TypeScript framework for agent workflows and multi-agent orchestration across model providers.
CAMEL - Research framework for role-playing multi-agent systems with stateful memory and Claude support.
ChatDev - Chat-chain platform where agent teams with distinct roles build software end-to-end.
Claude Agent SDK - Anthropic's official Python SDK for building Claude agents with tools, hooks, and MCP servers.
Claude Squad - Terminal manager for running multiple parallel Claude Code agents in isolated Git workspaces.
Claude Swarm - Decomposes tasks across parallel Claude Code agents with conflict detection and a rich terminal coordination UI.
Conductor - Microsoft CLI for defining and running multi-agent workflows on the Anthropic Agents SDK and GitHub Copilot SDK.
CrewAI - Role-based multi-agent framework with first-class Claude support, crew primitives, and shared memory.
Dapr Agents - Framework for resilient, stateful multi-agent systems with workflow orchestration on the Dapr runtime.
Google ADK - Google's Agent Development Kit for hierarchical multi-agent systems; Claude via LiteLLM and Vertex AI.
Inngest AgentKit - TypeScript framework for multi-agent networks with deterministic routing and MCP tooling; supports Claude.
LangGraph - Stateful graph-based orchestration library supporting supervisor, swarm, and multi-agent patterns.
Langroid - Python framework structured around multi-agent message passing and task delegation; Claude supported.
Mastra - TypeScript framework for agent workflows with multi-agent networks, durable execution, and first-class Claude support.
mcp-agent - Composable multi-agent framework built on the Model Context Protocol with Claude as a primary backend.
MetaGPT - SOP-driven software-team simulation; the canonical hierarchical role-based multi-agent implementation.
Microsoft Agent Framework - Microsoft's successor to AutoGen and Semantic Kernel for multi-agent workflows in Python and .NET.
oh-my-claudecode - Teams-first multi-agent orchestration for Claude Code with task routing across specialized agents.
OpenAI Agents SDK - Lightweight framework for multi-agent workflows with handoffs and guardrails; Claude via LiteLLM.
OpenHands - Generalist software-developer platform with AgentDelegateAction for hierarchical multi-agent task delegation.
Pydantic AI - Type-safe Python agent framework with delegation patterns, graph-based multi-agent flows, and Claude support.
ruflo - Claude-centric agent meta-harness deploying multi-agent swarms with adaptive memory, federation, and consensus topologies.
smolagents - Lightweight code-first agents library with hierarchical multi-agent support; Claude via LiteLLM.
Strands Agents - AWS model-driven SDK with swarm, graph, and agents-as-tools multi-agent patterns; defaults to Claude on Bedrock.
swarmclaw - Self-hosted agent runtime for autonomous swarms with memory, delegation, scheduling, and MCP tools across many model providers.
Swarms - Multi-agent orchestration framework with sequential, concurrent, and hierarchical workflows; Claude via LiteLLM.
VoltAgent - TypeScript framework for supervisor and subagent multi-agent systems with built-in observability; supports Claude.

Subagent Collections

Curated sets of Claude Code subagents. Links to the collections only; contents are not duplicated here. Listed alphabetically.

agents - Collection of 184 Claude Code subagents and 16 multi-agent workflow orchestrators across development domains.
agents (contains-studio) - Department-organized Claude Code subagents spanning engineering, design, marketing, and operations roles.
awesome-claude-agents - Orchestrated team of Claude Code subagents coordinating as an automated software-development crew.
awesome-claude-code-subagents - Over 100 Claude Code subagents across 10 domain categories with model routing and structured output.
claude-code-sub-agents - Set of 33 specialized subagents including an agent-organizer meta-orchestrator for parallel coordination.
claude-code-subagents - Over 100 production-ready domain-specific subagents for Claude Code across languages, frameworks, and infrastructure.
claude-code-templates - CLI for 100+ agents, slash commands, MCP integrations, and hooks for Claude Code projects.

Starter Templates and Examples

Runnable starting points and worked examples for assembling multi-agent Claude systems. Links only; contents are not duplicated. Listed alphabetically.

agent-orchestrator-template - Self-evolving Claude Code subagent system that creates, merges, and promotes specialized agents per task.
Anthropic Cookbook Agent Patterns - Official notebooks implementing orchestrator-workers and related multi-agent patterns with Claude.
Claude Quickstarts - Official runnable Claude projects, including a two-agent autonomous coding example.

Skills, Hooks, and MCP for Coordination

Claude Code skills, hooks, and MCP servers specifically useful for cross-agent coordination and shared state.

Agent Skills - Anthropic's open standard for packaging reusable instructions and code that agents load on demand.
Agent-MCP - Framework for coordinating multiple specialized agents in parallel through the Model Context Protocol.
Claude Code Advanced Patterns - Anthropic-authored guide to subagents, MCP, and scaling Claude Code across real codebases.
Claude Code Agent Teams - Official feature coordinating multiple Claude Code sessions with a shared task list and inter-agent messaging.
Claude Code Agent View - Dispatch and monitor many parallel background Claude Code sessions from a single screen.
Claude Code Hooks - Lifecycle event handlers, including SubagentStop and TaskCompleted, for enforcing quality gates across agents.
Claude Code Sub-Agents Documentation - Official specification for .claude/agents/ subagent definitions with YAML frontmatter and tool gating.
claude-code-hooks-mastery - Worked examples of every Claude Code hook lifecycle event and subagent control pattern.
FastMCP - Pythonic framework for building Model Context Protocol servers and clients that expose tools to agents.
MCP Reference Servers - Official MCP server implementations including Memory (knowledge graph) and Sequential Thinking.
mcp-use - Framework for building MCP apps and connecting agents to any MCP server, with Claude support.
Serena - MCP server giving agents semantic code retrieval and editing across a shared codebase.

Memory, State, and Communication

Shared memory layers, inter-agent messaging, and persistent state systems designed for multi-agent stacks.

basic-memory - Local-first Markdown knowledge base with MCP integration for persistent cross-agent state.
claude-peers-mcp - MCP server letting multiple local Claude Code instances discover and message each other ad hoc.
Cognee - Memory layer that builds queryable knowledge graphs from agent interactions and documents.
Graphiti - Library for building real-time, temporally-aware knowledge graphs usable as shared agent memory.
LangMem - LangChain SDK giving agents long-term memory through extraction, consolidation, and cross-session retrieval.
Letta - Stateful agent platform with hierarchical memory blocks and archival storage; recommends Claude as backend.
mem0 - Universal memory layer with user, session, and agent tiers; integrates with CrewAI and LangGraph.
Redis Agent Memory Server - Session and long-term memory layer for agents backed by Redis with semantic search and an MCP interface.
Zep - Temporal knowledge-graph memory platform for agents with Graph RAG and session context management.

Standards and Protocols

Open standards for inter-agent communication, discovery, and tool access across frameworks and vendors.

A Survey of Agent Interoperability Protocols - Compares MCP, ACP, A2A, and ANP across architecture, security, and interaction models (2025).
A2A Protocol - Open Linux Foundation standard for inter-agent communication across frameworks and organizations.
Agent Network Protocol - Open protocol for decentralized agent discovery and secure collaboration using decentralized identifiers.
AGNTCY Agent Directory - Distributed announce-and-discovery layer letting multi-agent systems find and describe each other.
Model Context Protocol - Anthropic's open standard connecting agents to tools, data, and context sources.

Evaluation and Benchmarks

Benchmarks and eval suites that measure multi-agent system quality, reliability, and task completion.

AgentBench - Eight-environment benchmark measuring LLM-as-agent performance across web, code, and OS tasks (ICLR 2024).
AgentBoard - Analytical benchmark with fine-grained progress metrics for multi-turn LLM agents across nine tasks (NeurIPS 2024).
AppWorld - Simulated world of nine apps and 457 APIs for benchmarking interactive coding agents (ACL 2024).
BattleAgentBench - Benchmark scoring language models on cooperation and competition across graduated multi-agent scenarios (2024).
Collab-Overcooked - Overcooked-based benchmark measuring how well LLM agents collaborate through natural-language coordination (EMNLP 2025).
GAIA - Real-world general assistant benchmark; humans score 92%, LLM agents roughly 15–30%.
MARBLE - MultiAgentBench code measuring collaboration across star, chain, tree, and graph topologies (ACL 2025).
PARTNR - Meta benchmark of 100,000 household tasks for embodied human-robot multi-agent planning (2024).
SWE-bench - Benchmark of real GitHub issues widely used to evaluate single- and multi-agent coding systems (ICLR 2024).
TheAgentCompany - Benchmark of realistic enterprise software tasks measuring agent performance in a simulated company (2024).
WebArena - Realistic, self-hostable web environment for benchmarking autonomous agents on long-horizon tasks (2023).
τ-bench - Tool-agent-user benchmark measuring agent reliability with a pass^k metric in realistic domains.
τ²-Bench - Dual-control conversational agent benchmark; successor to τ-bench from Sierra Research.

Datasets and Environments

Reusable simulation environments and datasets for studying multi-agent coordination, distinct from the scored benchmarks above. Listed alphabetically.

AgentSociety - Simulator running thousands of LLM-driven agents in a society with economy, social media, and city environments.
Concordia - DeepMind library for generative agent-based models simulating interactions among many LLM-driven entities.
OASIS - Social-media simulator scaling LLM-driven agents to one million users for studying group dynamics.
SOTOPIA - Open-ended environment where language agents role-play social scenarios and are scored on goal completion (ICLR 2024).

Observability and Debugging

Tracing, monitoring, and replay tools for understanding failures in multi-step, multi-agent systems.

AgentOps - Session-level monitoring and replay for multi-agent systems across CrewAI, AutoGen, and other frameworks.
Arize Phoenix - Open-source observability and evaluation for agent traces, built on OpenTelemetry.
Laminar - Open-source observability platform purpose-built for tracing and evaluating AI agents.
Langfuse - Open-source platform tracing nested multi-agent sessions with evaluation, datasets, and prompt management.
LangSmith - Tracing and evaluation platform that visualizes tool calls and multi-agent interactions step by step.
OpenLLMetry - OpenTelemetry-based instrumentation for tracing LLM and multi-agent applications across vendors.
Opik - Open-source tracing, evaluation, and dashboards for LLM applications and agentic workflows.
Weave - Weights & Biases toolkit for logging, tracing, and evaluating agentic LLM applications.

Threats, defenses, and trust evaluations specific to coordinated multi-agent systems. The companion security references cover prompt injection and trust boundaries in more depth. Listed alphabetically.

A Survey on Trustworthy LLM Agents: Threats and Countermeasures - Maps threats and defenses across an agent's reasoning, memory, tools, and interactions with users and other agents (2025).
MAGPIE: Multi-Agent Contextual Privacy Evaluation - Benchmark of 200 high-stakes tasks testing whether collaborating agents preserve contextual privacy (2025).
Red-Teaming LLM Multi-Agent Systems via Communication Attacks - Agent-in-the-Middle attack compromises whole systems by intercepting and manipulating inter-agent messages (ACL 2025).
Seven Security Challenges in Cross-domain Multi-Agent LLM Systems - Identifies seven security challenges that emerge when agents operate across organizational boundaries (2025).
TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems - Benchmark evaluating robustness and safety of multi-agent systems across adversarial attack scenarios (2025).

Research Papers

High-impact recent work on multi-agent LLMs not already listed in Foundational Reading. For broader surveys see kyegomez/awesome-multi-agent-papers and VoltAgent/awesome-ai-agent-papers in Related Lists below. Listed chronologically.

Constitutional AI: Harmlessness from AI Feedback - Two-model RLAIF loop where a critique model revises an actor; foundational Anthropic actor-critic paper (2022).
ChatDev: Communicative Agents for Software Development - Multi-agent software company pipeline with communicative dehallucination to reduce cross-role errors (ACL 2024).
AgentVerse: Facilitating Multi-Agent Collaboration - Framework studying emergent social behaviors and dynamic team assembly in multi-agent settings (ICLR 2024).
ChatEval: Better LLM-based Evaluators through Multi-Agent Debate - Multi-agent referee team that debates to evaluate text quality more reliably than a single judge (2023).
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training - Shows deceptive agent behaviors survive safety fine-tuning; key multi-agent trust and safety result (2024).
Large Language Model based Multi-Agents: A Survey - Surveys multi-agent LLM systems across communication, profiling, and capability-enhancement mechanisms (IJCAI 2024).
Language Agents as Optimizable Graphs - Represents multi-agent systems as graphs and automatically optimizes their topology and prompts; GPTSwarm (ICML 2024).
Chain of Agents: LLMs Collaborating on Long-Context Tasks - Worker agents process long-context segments sequentially and a manager agent synthesizes the result (NeurIPS 2024).
Scaling Large Language Model-based Multi-Agent Collaboration - Organizes agents into directed-graph networks and finds a collaborative scaling law past a thousand agents (ICLR 2025).
OpenHands: An Open Platform for AI Software Developers - Agent platform with AgentDelegateAction enabling nested multi-agent software-development workflows (ICLR 2025).
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent Systems - Training framework improving communication efficiency and performance of multi-agent systems (2024).
AFlow: Automating Agentic Workflow Generation - Automates workflow design with Monte Carlo tree search over code-represented agent workflows (ICLR 2025).
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks - Microsoft's orchestrator coordinating five specialist agents for web, file, and coding tasks (2024).
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application - Surveys recent LLM multi-agent systems across coordination mechanisms and application domains (2024).
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains - Specializes a society of models through multi-agent interaction to sustain self-improvement over many rounds (2025).
Multi-Agent Collaboration Mechanisms: A Survey of LLMs - Surveys how LLM-based agents coordinate through collaboration mechanisms, structures, types, and protocols (2025).
Multi-agent Architecture Search via Agentic Supernet - Samples query-dependent multi-agent architectures from a learned probabilistic supernet rather than one fixed design (ICML 2025).
Why Do Multi-Agent LLM Systems Fail? - Introduces the MAST taxonomy of fourteen multi-agent failure modes from over a thousand annotated traces (NeurIPS 2025).
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs - Benchmarks whether agent networks can self-organize coordination and collaborative reasoning as they scale (2025).
Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks - Finds multi-turn multi-agent orchestration can outperform the strongest single model on benchmarks (2025).
IMAGINE: Integrating Multi-Agent System into One Model - Distills multi-agent coordination into a single model for complex reasoning and planning (2025).

Case Studies and Production Postmortems

Engineering accounts and counter-perspectives on real multi-agent deployments. Community submissions welcome via PR — see contributing.md.

Don't Build Multi-Agents - Cognition's argument that context-sharing failures make multi-agent unreliable for code editing (2025).
Building Agents with the Claude Agent SDK - Anthropic's account of the agent loop, context management, and subagents behind Claude Code (2025).
How to Think About Agent Frameworks - LangChain's analysis of workflow-versus-agent abstractions and context control in multi-agent design (2025).
Context Engineering for AI Agents - Manus team's lessons on KV-cache, tool masking, and file-based context from building their agent (2025).
Multi-Agent Systems in the LLMOps Database - ZenML's curated collection of real-world multi-agent production deployments across many industries.
What 1,200 Production Deployments Reveal About LLMOps - ZenML's vendor-neutral analysis of multi-agent orchestration patterns that survive production (2025).
The AI Scientist - Sakana AI's autonomous research pipeline coordinating ideation, experiment, and review agents end-to-end (2024).

Talks, Courses, and Books

Video lectures and structured courses focused on multi-agent LLM systems. Listed alphabetically.

Agentic Architectural Patterns for Building Multi-Agent Systems - Book of agentic design patterns for coordination, fault tolerance, and hierarchical multi-agent architectures (2026).
AI Agentic Design Patterns with AutoGen - DeepLearning.AI course taught by AutoGen creators on multi-agent design patterns.
AI Agents in Action - Manning book on building, orchestrating, and deploying autonomous multi-agent systems (2025).
AI Agents in LangGraph - DeepLearning.AI and LangChain course on building agent control flow from scratch and in LangGraph.
AWS re:Invent 2024: Using Multiple Agents for Scalable Generative AI Applications - AWS session on coordinating multiple specialized agents for enterprise-scale generative AI workloads.
Hugging Face Agents Course - Free course covering agent fundamentals and frameworks (smolagents, LangGraph, LlamaIndex) with hands-on builds.
Long-Term Agentic Memory with LangGraph - DeepLearning.AI course on adding semantic, episodic, and procedural memory to agents.
Multi AI Agent Systems with crewAI - DeepLearning.AI course by CrewAI founder on role, tool, and memory patterns in agent crews.
Practical Multi AI Agents and Advanced Use Cases with crewAI - Advanced crewAI course covering real application architectures and production agent patterns.
Serverless Agentic Workflows with Amazon Bedrock - DeepLearning.AI course on deploying scalable serverless agent workflows with tools and guardrails.

Community

Active spaces where multi-agent LLM practitioners gather.

AutoGen GitHub Discussions - Official forum for AutoGen architecture questions, multi-agent design, and framework updates.
CAMEL-AI Community - Research community Discord and forum for multi-agent systems built on CAMEL.
CrewAI Community Forum - Official forum for CrewAI users discussing crews, flows, and multi-agent application design.
LangChain Forum - Official community forum for LangChain and LangGraph, including multi-agent architecture discussions.
Latent Space - AI engineering newsletter and podcast with recurring coverage of agent and multi-agent architectures.
r/AI_Agents - Subreddit focused on building, orchestrating, and deploying autonomous and multi-agent systems.
r/ClaudeAI - Subreddit for Claude users, including threads on subagents, orchestration, and multi-agent setups.

Adjacent awesome lists with honest scope descriptions. Cited openly, including direct competitors.

andyrewlee/awesome-agent-orchestrators - Curated orchestrators across Claude, Codex, Gemini, and Cursor; not Claude-specific.
ComposioHQ/awesome-claude-skills - Large index of Claude Skills, tools, and resources; broad Claude tooling, not multi-agent-specific.
e2b-dev/awesome-ai-agents - Broad agent ecosystem index; less actively maintained since mid-2023.
hesreallyhim/awesome-claude-code - Wide-ranging index of Claude Code resources: skills, hooks, orchestrators, and subagent collections.
Jenqyang/Awesome-AI-Agents - Collection of LLM-powered autonomous agents, frameworks, and multi-agent systems; model-agnostic.
kaushikb11/awesome-llm-agents - Curated list of LLM agent frameworks; vendor-agnostic and framework-focused.
kyegomez/awesome-multi-agent-papers - Compilation of multi-agent research papers; broader and model-agnostic.
luo-junyu/Awesome-Agent-Papers - Survey-linked collection of LLM agent papers across construction, collaboration, evolution, and security; model-agnostic.
punkpeye/awesome-mcp-servers - Large index of Model Context Protocol servers across providers and languages.
rahulvrane/awesome-claude-agents - Meta-index of Claude Code subagent collections, setup guides, and orchestration tutorials.
Shubhamsaboo/awesome-llm-apps - Runnable single- and multi-agent app examples across models, including Claude; cross-vendor cookbook.
VoltAgent/awesome-ai-agent-papers - Weekly-updated 2024–2026 AI agent papers covering memory, evaluation, and workflows.