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RevFactory Harness 是一款面向多智能体协作生态的元技能框架，旨在解决当前大模型应用中领域专家系统构建门槛高、技能复用困难且缺乏统一编排标准的痛点。该项目的核心优势在于其将复杂的智能体开发抽象为可复用的元技能层级，从而在三个关键维度上实现了显著的技术突破。首先，它支持按需自动生成垂直领域的专属智能体团队，彻底摆脱了传统开发中重复造轮子的困境；其次，框架内置的精细化角色定义机制能够精准映射真实业务场景中的职能分工，相比同类工具仅停留在基础对话代理层面，Harness…
Section: Agent Orchestration · by revfactory - A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. Resources are in Korean but can produce high-quality English-language output.
Section: Generators & Meta-Harnesses · A meta-skill that generates domain-specific agent teams and the skills they use. Good example of harness-as-code, where the harness itself is produced by an agent.
Section: 4. Agentic AI & Multi-Agent Systems · Team-architecture factory for Claude Code that designs domain-specific agent teams, defines specialized agents, and generates their skills. Apache 2.0 licensed.
Section: 大语言对话模型及数据 · RevFactory Harness 是一款面向多智能体协作生态的元技能框架，旨在解决当前大模型应用中领域专家系统构建门槛高、技能复用困难且缺乏统一编排标准的痛点。该项目的核心优势在于其将复杂的智能体开发抽象为可复用的元技能层级，从而在三个关键维度上实现了显著的技术突破。首先，它支持按需自动生成垂直领域的专属智能体团队，彻底摆脱了传统开发中重复造轮子的困境；其次，框架内置的精细化角色定义机制能够精准映射真实业务场景中的职能分工，相比同类工具仅停留在基础对话代理层面，Harness…
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.
June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…
(MIT) is a framework for algorithmically optimizing LM prompts and weights. DSPy introduced typed predictor and signatures to leverage Pydantic for enforcing type constraints on inputs and outputs, improving upon string-based fields.
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…
Minimal browser-automation agent harness with clean separation of tool registration, DOM state injection, action loop, and error recovery. Small codebase, clear structure — the best "minimal viable harness" reference for understanding core loop mechanics.