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Awesome GitHub RepositoriesMulti-Agent Consensus Systems

Systems that enable independent agents to perform parallel tasks and cross-validate results to reach consensus.

Explore 3 awesome GitHub repositories matching networking & communication · Multi-Agent Consensus Systems. Refine with filters or upvote what's useful.

Awesome Multi-Agent Consensus Systems GitHub Repositories

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  • foundationagents/metagptFoundationAgents 的头像

    FoundationAgents/MetaGPT

    68,844在 GitHub 上查看↗

    MetaGPT is an agentic workflow engine and multi-agent orchestration framework designed to automate complex software engineering and data analysis tasks. It functions as an automated software factory that transforms high-level natural language requirements into functional web applications, technical documentation, and production-ready code. By utilizing a runtime environment that manages the lifecycle of specialized agents, the platform bridges the gap between user intent and finished software components. The system distinguishes itself through role-based agent orchestration and dynamic task d

    Enables parallel execution of identical tasks to allow independent agents to cross-validate results and ensure output quality.

    Pythonagentgptllm
    在 GitHub 上查看↗68,844
  • kyegomez/swarmskyegomez 的头像

    kyegomez/swarms

    6,888在 GitHub 上查看↗

    Swarms 是一个多代理编排框架和自主代理工具包,旨在协调大语言模型代理。它作为一个用于管理代理关系的工作流引擎,提供了构建具有集成内存、工具调用能力和推理循环的自主代理的基础设施。 该框架的特色在于其多代理共识系统,利用投票、对抗性辩论和裁判代理来合成高质量的响应。它支持多种协作模式,包括导演-工作者层次结构、专家合成以及基于自然语言描述的自动化群体架构生成。 该系统涵盖了广泛的运营功能,包括通过领域特定语言进行基于图和顺序的工作流编排、针对不同模型提供商的统一接口,以及与 Model Context Protocol 的集成以实现动态工具发现。它还包括对检索增强生成、状态持久内存以及将代理功能公开为 Web 服务的能力的支持。 该项目提供用于代理管理的命令行界面,并支持通过 YAML 和模块化 markdown 技能文件进行配置。

    Combines multiple agent outputs through voting, judge rulings, or adversarial debate to improve answer quality.

    Python
    在 GitHub 上查看↗6,888
  • open-multi-agent/open-multi-agentopen-multi-agent 的头像

    open-multi-agent/open-multi-agent

    6,422在 GitHub 上查看↗

    Open Multi-Agent is a TypeScript framework for multi-agent orchestration that decomposes natural language goals into a runtime-generated directed acyclic graph of tasks. It functions as a task orchestrator and workflow state manager, coordinating multiple AI models to execute parallel and sequential operations. The framework is distinguished by a proposer-judge consensus protocol used to validate agent outputs through a quorum of agreement. It employs provider-agnostic model routing to assign specific models to tasks based on roles or execution phases and utilizes state-based workflow checkpo

    Coordinates a proposer-judge consensus protocol where multiple agents cross-validate results to reach a final agreement.

    TypeScriptagent-frameworkagent-orchestrationagentic-ai
    在 GitHub 上查看↗6,422
  1. Home
  2. Networking & Communication
  3. Distributed Systems and Peer-to-Peer
  4. Distributed Computing
  5. Consensus and Coordination Systems
  6. Multi-Agent Consensus Systems

探索子标签

  • Consensus AuditingRecording and inspecting the decision-making process of multi-agent consensus protocols. **Distinct from Multi-Agent Consensus Systems:** Distinct from Multi-Agent Consensus Systems by focusing on the audit trail and critique logs rather than the coordination mechanism itself.