4 个仓库
Modular, domain-specific instruction files loaded into an agent's context to guide complex task execution.
Distinct from On-Demand Context Loading: Distinct from On-Demand Context Loading: focuses on loading structured skill files for agent capabilities, not general context or data subsets.
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Hermes-webui is a self-hosted AI orchestrator and web interface for managing autonomous agents. It serves as a multi-provider gateway that connects cloud and local large language models, providing a central hub to execute scheduled background jobs, run shell commands, and manage agent memory on private hardware. The system distinguishes itself through a persistent memory manager that utilizes knowledge graphs and markdown files for long-term context across sessions. It features a model context protocol host for extending agent capabilities with standardized tools and supports the orchestratio
Writes new skill modules to extend functional abilities based on learned context and operational experience.
OpenHarness is a framework for building and orchestrating AI agents that utilize tools and plugins to execute complex tasks. It provides an orchestration system for managing language model lifecycles and a multi-agent coordination system for delegating workloads across teams of specialized subagents. The project features an agent gateway that bridges language model agents to external chat platforms and communication channels. It includes a tool integration engine for executing shell, file, and web operations, supported by a memory and skill manager that handles persistent user preferences and
Implements modular, domain-specific instruction files loaded into the agent context to guide task execution.
Kiln 是一个 LLM 开发工作台和评估框架,专为设计、测试和优化提示词(Prompt)及 AI 智能体而设计。它作为一个多智能体编排器和 RAG 优化工具,为 AI 系统的迭代开发提供了可视化界面。 该项目通过全面的微调流水线脱颖而出,支持零代码模型训练和推理蒸馏。它支持创建分层多智能体系统,其中专门的执行者通过工具调用进行协作,并实现了一个模型上下文协议(MCP)服务器,将这些智能体和检索能力作为标准化工具暴露给外部客户端。 该平台涵盖了广泛的能力,包括用于质量保证的自动化 AI 评判评分、用于训练和评估的合成数据生成,以及用于增强模型响应的混合向量-关键词检索。它还提供了用于提示词演进、追踪审计以及通过 Git 集成管理协作数据集的工具。 该工作台可通过可自托管的 REST API 和专门的 Python 库进行编程工作流执行。
Defines reusable instructions and reference documents that are loaded into agent context only when needed.
Youtu Agent is an open-source framework for building, running, and evaluating autonomous agents powered by large language models. It provides the core infrastructure for creating agents that follow reasoning loops, use toolkits, and coordinate with other agents to solve complex tasks, all managed through YAML-driven configuration files. The framework distinguishes itself through its support for multi-agent orchestration, where a planner agent decomposes tasks and coordinates specialized worker agents, and through its integration with the Model Context Protocol for connecting to external toolk
Provides modular skill files that extend agent capabilities with structured instructions for complex tasks.