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5 个仓库

Awesome GitHub RepositoriesManual Agent Loaders

Utilities for programmatically registering and initializing custom agent definitions from local file systems.

Explore 5 awesome GitHub repositories matching artificial intelligence & ml · Manual Agent Loaders. Refine with filters or upvote what's useful.

Awesome Manual Agent Loaders GitHub Repositories

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  • openhands/openhandsOpenHands 的头像

    OpenHands/OpenHands

    77,330在 GitHub 上查看↗

    OpenHands is an autonomous agent framework designed for software engineering workflows. It provides a modular platform for orchestrating AI agents that reason, plan, and execute tasks within isolated, containerized development environments. By integrating with standard version control and development tools, the system enables agents to autonomously navigate codebases, implement features, and resolve issues through iterative reasoning and tool execution. The platform distinguishes itself through a model-agnostic orchestrator that connects diverse language models to a unified tool registry. It

    Import custom agent definitions from local directories to gain precise control over factory initialization.

    Pythonagentartificial-intelligencechatgpt
    在 GitHub 上查看↗77,330
  • addyosmani/agent-skillsaddyosmani 的头像

    addyosmani/agent-skills

    60,849在 GitHub 上查看↗

    Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists. The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated

    Deploys targeted sub-agent definitions to perform domain-specific reviews and task delegations.

    Shellagent-skillsantigravityantigravity-ide
    在 GitHub 上查看↗60,849
  • mastra-ai/mastramastra-ai 的头像

    mastra-ai/mastra

    21,221在 GitHub 上查看↗

    Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

    Provides command-line mechanisms for triggering and interacting with deployed agents.

    TypeScriptagentsaichatbots
    在 GitHub 上查看↗21,221
  • kilo-org/kilocodeKilo-Org 的头像

    Kilo-Org/kilocode

    15,616在 GitHub 上查看↗

    Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments. The platform distinguishes itself through its federated task management and policy-based access control, which

    Allows users to trigger specific subagents directly within a conversation to handle targeted tasks.

    TypeScriptaiai-ageai-coding
    在 GitHub 上查看↗15,616
  • bytebot-ai/bytebotbytebot-ai 的头像

    bytebot-ai/bytebot

    10,413在 GitHub 上查看↗

    Bytebot is an LLM desktop automation framework and virtual Linux desktop environment. It enables AI agents to plan and execute mouse and keyboard actions on a virtual computer using natural language, allowing for autonomous desktop automation and the integration of legacy systems that lack native APIs. The system operates as an LLM API gateway and a Model Context Protocol server, routing requests across multiple language model providers with integrated load balancing and rate limiting. It provides isolated, containerized environments where agents use visual reasoning to interpret screenshots

    Allows users to override autonomous control and manually guide the agent through specific actions via takeover mode.

    TypeScriptagentagentic-aiagents
    在 GitHub 上查看↗10,413
  1. Home
  2. Artificial Intelligence & ML
  3. Agentic Systems Frameworks
  4. Development and Runtime Environments
  5. Manual Agent Loaders

探索子标签

  • Autonomous Flow OverridesMechanisms for humans to take control of an active autonomous agent to guide it through specific steps. **Distinct from Manual Agent Invokers:** Focuses on overriding a running autonomous flow rather than manually invoking a subagent.
  • Manual Agent InvokersMechanisms for explicitly triggering specific subagents within a conversation. **Distinct from Manual Agent Loaders:** Distinct from Manual Agent Loaders: focuses on the runtime invocation of agents during a session rather than their registration.