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<!doctype html>
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<head>
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<meta name="description" content="The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework">
<meta name="author" content="Swarms">
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<h1 id="multi-agent-paper-implementations">Multi-Agent Paper Implementations<a class="headerlink" href="#multi-agent-paper-implementations" title="Permanent link">&para;</a></h1>
<p>At Swarms, we are passionate about democratizing access to cutting-edge multi-agent research and making advanced AI collaboration accessible to everyone. Our mission is to bridge the gap between academic research and practical implementation by providing production-ready, open-source implementations of the most impactful multi-agent research papers.</p>
<h3 id="why-multi-agent-research-matters">Why Multi-Agent Research Matters<a class="headerlink" href="#why-multi-agent-research-matters" title="Permanent link">&para;</a></h3>
<p>Multi-agent systems represent the next evolution in artificial intelligence, moving beyond single-agent limitations to harness the power of collective intelligence. These systems can:</p>
<ul>
<li><strong>Overcome Individual Agent Constraints</strong>: Address memory limitations, hallucinations, and single-task focus through collaborative problem-solving</li>
<li><strong>Achieve Superior Performance</strong>: Combine specialized expertise across multiple agents to tackle complex, multifaceted challenges</li>
<li><strong>Enable Scalable Solutions</strong>: Distribute computational load and scale efficiently across multiple agents</li>
<li><strong>Foster Innovation</strong>: Create novel approaches through agent interaction and knowledge sharing</li>
</ul>
<h3 id="our-research-implementation-philosophy">Our Research Implementation Philosophy<a class="headerlink" href="#our-research-implementation-philosophy" title="Permanent link">&para;</a></h3>
<p>We believe that the best way to advance the field is through practical implementation and real-world validation. Our approach includes:</p>
<ul>
<li>
<p><strong>Faithful Reproduction</strong>: Implementing research papers with high fidelity to original methodologies</p>
</li>
<li>
<p><strong>Production Enhancement</strong>: Adding enterprise-grade features like error handling, monitoring, and scalability</p>
</li>
<li>
<p><strong>Open Source Commitment</strong>: Making all implementations freely available to the research community</p>
</li>
<li>
<p><strong>Continuous Improvement</strong>: Iterating on implementations based on community feedback and new research</p>
</li>
</ul>
<h3 id="what-youll-find-here">What You'll Find Here<a class="headerlink" href="#what-youll-find-here" title="Permanent link">&para;</a></h3>
<p>This documentation showcases our comprehensive collection of multi-agent research implementations, including:</p>
<ul>
<li>
<p><strong>Academic Paper Implementations</strong>: Direct implementations of published research papers</p>
</li>
<li>
<p><strong>Enhanced Frameworks</strong>: Production-ready versions with additional features and optimizations</p>
</li>
<li>
<p><strong>Research Compilations</strong>: Curated lists of influential multi-agent papers and resources</p>
</li>
<li>
<p><strong>Practical Examples</strong>: Ready-to-use code examples and tutorials</p>
</li>
</ul>
<p>Whether you're a researcher looking to validate findings, a developer building production systems, or a student learning about multi-agent AI, you'll find valuable resources here to advance your work.</p>
<h3 id="join-the-multi-agent-revolution">Join the Multi-Agent Revolution<a class="headerlink" href="#join-the-multi-agent-revolution" title="Permanent link">&para;</a></h3>
<p>We invite you to explore these implementations, contribute to our research efforts, and help shape the future of collaborative AI. Together, we can unlock the full potential of multi-agent systems and create AI that truly works as a team.</p>
<h2 id="implemented-research-papers">Implemented Research Papers<a class="headerlink" href="#implemented-research-papers" title="Permanent link">&para;</a></h2>
<table>
<thead>
<tr>
<th>Paper Name</th>
<th>Description</th>
<th>Original Paper</th>
<th>Implementation</th>
<th>Status</th>
<th>Key Features</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>MALT (Multi-Agent Learning Task)</strong></td>
<td>A sophisticated orchestration framework that coordinates multiple specialized AI agents to tackle complex tasks through structured conversations.</td>
<td><a href="https://arxiv.org/pdf/2412.01928">arXiv:2412.01928</a></td>
<td><a href="https://docs.swarms.world/en/latest/swarms/structs/malt/"><code>swarms.structs.malt</code></a></td>
<td>✅ Complete</td>
<td>Creator-Verifier-Refiner architecture, structured conversations, reliability guarantees</td>
</tr>
<tr>
<td><strong><a href="https://arxiv.org/abs/2506.22405">MAI-DxO (MAI Diagnostic Orchestrator)</a></strong></td>
<td>An open-source implementation of Microsoft Research's "<a href="https://arxiv.org/abs/2506.22405">Sequential Diagnosis with Language Models</a>" paper, simulating a virtual panel of physician-agents for iterative medical diagnosis.</td>
<td>Microsoft Research Paper</td>
<td><a href="https://github.com/The-Swarm-Corporation/Open-MAI-Dx-Orchestrator">GitHub Repository</a></td>
<td>✅ Complete</td>
<td>Cost-effective medical diagnosis, physician-agent panel, iterative refinement</td>
</tr>
<tr>
<td><strong><a href="https://storage.googleapis.com/coscientist_paper/ai_coscientist.pdf">AI-CoScientist</a></strong></td>
<td>A multi-agent AI framework for collaborative scientific research, implementing the "Towards an AI Co-Scientist" methodology with tournament-based hypothesis evolution.</td>
<td>"Towards an AI Co-Scientist" Paper</td>
<td><a href="https://github.com/The-Swarm-Corporation/AI-CoScientist">GitHub Repository</a></td>
<td>✅ Complete</td>
<td>Tournament-based selection, peer review systems, hypothesis evolution, Elo rating system</td>
</tr>
<tr>
<td><strong><a href="https://arxiv.org/abs/2406.04692">Mixture of Agents (MoA)</a></strong></td>
<td>A sophisticated multi-agent architecture that implements parallel processing with iterative refinement, combining diverse expert agents for comprehensive analysis.</td>
<td>Multi-agent collaboration concepts</td>
<td><a href="https://docs.swarms.world/en/latest/swarms/structs/moa/"><code>swarms.structs.moa</code></a></td>
<td>✅ Complete</td>
<td>Parallel processing, expert agent combination, iterative refinement, state-of-the-art performance</td>
</tr>
<tr>
<td><strong>Deep Research Swarm</strong></td>
<td>A production-grade research system that conducts comprehensive analysis across multiple domains using parallel processing and advanced AI agents.</td>
<td>Research methodology</td>
<td><a href="https://docs.swarms.world/en/latest/swarms/structs/deep_research_swarm/"><code>swarms.structs.deep_research_swarm</code></a></td>
<td>✅ Complete</td>
<td>Parallel search processing, multi-agent coordination, information synthesis, concurrent execution</td>
</tr>
<tr>
<td><strong>Agent-as-a-Judge</strong></td>
<td>An evaluation framework that uses agents to evaluate other agents, implementing the "Agent-as-a-Judge: Evaluate Agents with Agents" methodology.</td>
<td><a href="https://arxiv.org/abs/2410.10934">arXiv:2410.10934</a></td>
<td><a href="https://docs.swarms.world/en/latest/swarms/agents/agent_judge/"><code>swarms.agents.agent_judge</code></a></td>
<td>✅ Complete</td>
<td>Agent evaluation, quality assessment, automated judging, performance metrics</td>
</tr>
</tbody>
</table>
<h2 id="additional-research-resources">Additional Research Resources<a class="headerlink" href="#additional-research-resources" title="Permanent link">&para;</a></h2>
<h3 id="multi-agent-papers-compilation">Multi-Agent Papers Compilation<a class="headerlink" href="#multi-agent-papers-compilation" title="Permanent link">&para;</a></h3>
<p>We maintain a comprehensive list of multi-agent research papers at: <a href="https://github.com/kyegomez/awesome-multi-agent-papers">awesome-multi-agent-papers</a></p>
<h3 id="research-lists">Research Lists<a class="headerlink" href="#research-lists" title="Permanent link">&para;</a></h3>
<p>Our research compilation includes:</p>
<ul>
<li>
<p><strong>Projects</strong>: ModelScope-Agent, Gorilla, BMTools, LMQL, Langchain, MetaGPT, AutoGPT, and more</p>
</li>
<li>
<p><strong>Research Papers</strong>: BOLAA, ToolLLM, Communicative Agents, Mind2Web, Voyager, Tree of Thoughts, and many others</p>
</li>
<li>
<p><strong>Blog Articles</strong>: Latest insights and developments in autonomous agents</p>
</li>
<li>
<p><strong>Talks</strong>: Presentations from leading researchers like Geoffrey Hinton and Andrej Karpathy</p>
</li>
</ul>
<h2 id="implementation-details">Implementation Details<a class="headerlink" href="#implementation-details" title="Permanent link">&para;</a></h2>
<h3 id="malt-framework">MALT Framework<a class="headerlink" href="#malt-framework" title="Permanent link">&para;</a></h3>
<p>The MALT implementation provides:</p>
<ul>
<li>
<p><strong>Three-Agent Architecture</strong>: Creator, Verifier, and Refiner agents</p>
</li>
<li>
<p><strong>Structured Workflow</strong>: Coordinated task execution with conversation history</p>
</li>
<li>
<p><strong>Reliability Features</strong>: Error handling, validation, and quality assurance</p>
</li>
<li>
<p><strong>Extensibility</strong>: Custom agent integration and configuration options</p>
</li>
</ul>
<h3 id="mai-dxo-system">MAI-DxO System<a class="headerlink" href="#mai-dxo-system" title="Permanent link">&para;</a></h3>
<p>The MAI Diagnostic Orchestrator features:</p>
<ul>
<li>
<p><strong>Virtual Physician Panel</strong>: Multiple specialized medical agents</p>
</li>
<li>
<p><strong>Cost Optimization</strong>: Efficient diagnostic workflows</p>
</li>
<li>
<p><strong>Iterative Refinement</strong>: Continuous improvement of diagnoses</p>
</li>
<li>
<p><strong>Medical Expertise</strong>: Domain-specific knowledge and reasoning</p>
</li>
</ul>
<h3 id="ai-coscientist-framework">AI-CoScientist Framework<a class="headerlink" href="#ai-coscientist-framework" title="Permanent link">&para;</a></h3>
<p>The AI-CoScientist implementation includes:</p>
<ul>
<li>
<p><strong>Tournament-Based Selection</strong>: Elo rating system for hypothesis ranking</p>
</li>
<li>
<p><strong>Peer Review System</strong>: Comprehensive evaluation of scientific proposals</p>
</li>
<li>
<p><strong>Hypothesis Evolution</strong>: Iterative refinement based on feedback</p>
</li>
<li>
<p><strong>Diversity Control</strong>: Proximity analysis to maintain hypothesis variety</p>
</li>
</ul>
<h3 id="mixture-of-agents-moa">Mixture of Agents (MoA)<a class="headerlink" href="#mixture-of-agents-moa" title="Permanent link">&para;</a></h3>
<p>The MoA architecture provides:</p>
<ul>
<li>
<p><strong>Parallel Processing</strong>: Multiple agents working simultaneously</p>
</li>
<li>
<p><strong>Expert Specialization</strong>: Domain-specific agent capabilities</p>
</li>
<li>
<p><strong>Iterative Refinement</strong>: Continuous improvement through collaboration</p>
</li>
<li>
<p><strong>State-of-the-Art Performance</strong>: Achieving superior results through collective intelligence</p>
</li>
</ul>
<h2 id="contributing">Contributing<a class="headerlink" href="#contributing" title="Permanent link">&para;</a></h2>
<p>We welcome contributions to implement additional research papers! If you'd like to contribute:</p>
<ol>
<li><strong>Identify a paper</strong>: Choose a relevant multi-agent research paper</li>
<li><strong>Propose implementation</strong>: Submit an issue with your proposal</li>
<li><strong>Implement</strong>: Create the implementation following our guidelines</li>
<li><strong>Document</strong>: Add comprehensive documentation and examples</li>
<li><strong>Test</strong>: Ensure robust testing and validation</li>
</ol>
<h2 id="citation">Citation<a class="headerlink" href="#citation" title="Permanent link">&para;</a></h2>
<p>If you use any of these implementations in your research, please cite the original papers and the Swarms framework:</p>
<div class="language-bibtex highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="nc">@misc</span><span class="p">{</span><span class="nl">SWARMS_2022</span><span class="p">,</span>
</span><span id="__span-0-2"><a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="w"> </span><span class="na">author</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Gomez, Kye and Pliny and More, Harshal and Swarms Community}</span><span class="p">,</span>
</span><span id="__span-0-3"><a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a><span class="w"> </span><span class="na">title</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{{Swarms: Production-Grade Multi-Agent Infrastructure Platform}}</span><span class="p">,</span>
</span><span id="__span-0-4"><a id="__codelineno-0-4" name="__codelineno-0-4" href="#__codelineno-0-4"></a><span class="w"> </span><span class="na">year</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{2022}</span><span class="p">,</span>
</span><span id="__span-0-5"><a id="__codelineno-0-5" name="__codelineno-0-5" href="#__codelineno-0-5"></a><span class="w"> </span><span class="na">howpublished</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{\url{https://github.com/kyegomez/swarms}}</span><span class="p">,</span>
</span><span id="__span-0-6"><a id="__codelineno-0-6" name="__codelineno-0-6" href="#__codelineno-0-6"></a><span class="w"> </span><span class="na">note</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{Documentation available at \url{https://docs.swarms.world}}</span><span class="p">,</span>
</span><span id="__span-0-7"><a id="__codelineno-0-7" name="__codelineno-0-7" href="#__codelineno-0-7"></a><span class="w"> </span><span class="na">version</span><span class="w"> </span><span class="p">=</span><span class="w"> </span><span class="s">{latest}</span>
</span><span id="__span-0-8"><a id="__codelineno-0-8" name="__codelineno-0-8" href="#__codelineno-0-8"></a><span class="p">}</span>
</span></code></pre></div>
<h2 id="community">Community<a class="headerlink" href="#community" title="Permanent link">&para;</a></h2>
<p>Join our community to stay updated on the latest multi-agent research implementations:</p>
<ul>
<li>
<p><strong>Discord</strong>: <a href="https://discord.gg/jM3Z6M9uMq">Join our community</a></p>
</li>
<li>
<p><strong>Documentation</strong>: <a href="https://docs.swarms.world">docs.swarms.world</a></p>
</li>
<li>
<p><strong>GitHub</strong>: <a href="https://github.com/kyegomez/swarms">kyegomez/swarms</a></p>
</li>
<li>
<p><strong>Research Papers</strong>: <a href="https://github.com/kyegomez/awesome-multi-agent-papers">awesome-multi-agent-papers</a></p>
</li>
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