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4 repository-uri

Awesome GitHub RepositoriesSkill Files

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.

Explore 4 awesome GitHub repositories matching software engineering & architecture · Skill Files. Refine with filters or upvote what's useful.

Awesome Skill Files GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • nesquena/hermes-webuiAvatar nesquena

    nesquena/hermes-webui

    14,912Vezi pe GitHub↗

    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.

    Pythonagentai-agentshermes
    Vezi pe GitHub↗14,912
  • hkuds/openharnessAvatar HKUDS

    HKUDS/OpenHarness

    14,084Vezi pe GitHub↗

    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.

    Python
    Vezi pe GitHub↗14,084
  • kiln-ai/kilnAvatar kiln-ai

    kiln-ai/kiln

    4,910Vezi pe GitHub↗

    Kiln este un workbench de dezvoltare LLM și un framework de evaluare conceput pentru proiectarea, testarea și optimizarea prompt-urilor și a agenților AI. Funcționează ca un orchestrator multi-agent și un instrument de optimizare RAG, oferind o interfață vizuală pentru dezvoltarea iterativă a sistemelor AI. Proiectul se distinge printr-un pipeline cuprinzător de fine-tuning care suportă antrenarea modelelor zero-code și distilarea raționamentului. Permite crearea de sisteme multi-agent ierarhice unde actorii specializați se coordonează prin apelarea instrumentelor și implementează un server Model Context Protocol pentru a expune acești agenți și capabilități de căutare ca instrumente standardizate pentru clienții externi. Platforma acoperă o gamă largă de capabilități, inclusiv notarea automată a judecătorilor AI pentru asigurarea calității, generarea de date sintetice pentru antrenare și evaluare și recuperarea hibridă vector-keyword pentru fundamentarea răspunsurilor modelului. Oferă, de asemenea, instrumente pentru evoluția prompt-urilor, auditarea urmelor (trace auditing) și gestionarea seturilor de date colaborative prin integrarea Git. Workbench-ul este accesibil printr-un REST API auto-găzduibil și o bibliotecă Python dedicată pentru execuția programatică a fluxurilor de lucru.

    Defines reusable instructions and reference documents that are loaded into agent context only when needed.

    Python
    Vezi pe GitHub↗4,910
  • tencentcloudadp/youtu-agentAvatar TencentCloudADP

    TencentCloudADP/youtu-agent

    4,576Vezi pe GitHub↗

    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.

    Pythonagent-frameworkagentsopenai-agents
    Vezi pe GitHub↗4,576
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Explorează sub-etichetele

  • Dynamic Skill SynthesisThe process of generating new modular instruction files or code based on learned context to solve novel problems. **Distinct from Skill Files:** Distinct from Skill Files: focuses on the active synthesis/writing of new files rather than just loading existing ones.