Showing 7 open source projects for "task"

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  • 1
    AG2

    AG2

    Framework for building and orchestrating multi-agent AI systems

    ...AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent interaction, task delegation, and iterative reasoning, which are essential for building advanced AI-driven applications. AG2 is intended for developers experimenting with autonomous systems, research prototypes, or production-grade agent pipelines. AG2 emphasizes flexibility, allowing users to integrate different models and customize behaviors depending on their use case. ...
    Downloads: 6 This Week
    Last Update:
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  • 2
    Agent Skills

    Agent Skills

    Skills for AI coding agents

    Agent Skills by Vercel Labs is a curated collection of modular “skills” designed to extend the capabilities of AI coding agents by packaging human-ready instructions, workflows, and optional scripts that tell an agent how to perform specific development tasks. In this repository, each skill adheres to the Agent Skills specification, meaning they’re defined as folders with a SKILL.md file (containing task descriptions and step-by-step guidance) and can include helper scripts and reference material that the agent can execute or consult when invoked. The goal of the project is to make it easy for AI assistants like Claude Code, OpenCode, Cursor, Codex, and others that support this open ecosystem to automatically apply best practices or perform concrete actions when a relevant user intent is detected. ...
    Downloads: 12 This Week
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  • 3
    Superpowers

    Superpowers

    An agentic skills framework & software development methodology

    ...Instead of simply generating code, Superpowers drives an AI through a thoughtful software engineering workflow that starts with clarifying project intent, teasing out a detailed specification, and creating an implementation plan that is readable and actionable. It incorporates test-driven development, task planning, and sub-agent orchestration so that each engineering task is executed, checked, and iterated upon with rigor rather than ad-hoc improvisation. Superpowers includes a rich set of modular “skills” that guide the AI in areas such as brainstorming, planning, debugging, and code review, giving it the tools to function like a disciplined developer rather than a naive auto-completer.
    Downloads: 3 This Week
    Last Update:
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  • 4
    The Pope Bot

    The Pope Bot

    Autonomous AI agent that you can configure and build

    The Pope Bot is an autonomous AI agent framework that lets users configure and run an AI-powered agent that can perform tasks continuously, day in and day out, by leveraging GitHub Actions, commit history, and secure workflows. It’s designed so that every action taken by the agent is logged as a git commit, giving users complete visibility into what the agent did, why it did it, and when, which makes actions auditable and reversible. The framework treats the repository itself as the agent’s...
    Downloads: 6 This Week
    Last Update:
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  • 5
    KaibanJS

    KaibanJS

    JS-native framework for building and managing multi-agent systems

    ...Harness the power of specialization by configuring AI agents to excel in distinct, critical functions within your projects. This approach enhances the effectiveness and efficiency of each task, moving beyond the limitations of generic AI. Just as professionals use specific tools to excel in their tasks, enable your AI agents to utilize tools like search engines, calculators, and more to perform specialized tasks with greater precision and efficiency.
    Downloads: 3 This Week
    Last Update:
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  • 6
    AgentVerse

    AgentVerse

    Designed to facilitate the deployment of multiple LLM-based agents

    AgentVerse is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation.
    Downloads: 1 This Week
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  • 7
    ADSKIT

    ADSKIT

    Agents design supporting system for simulation models

    Main task is automating the creation of simulation models of complex model. The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach.
    Downloads: 0 This Week
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