Showing 14 open source projects for "path-setting"

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  • 1
    OpenClaw Installer

    OpenClaw Installer

    ClawdBot one-click deployment tool

    OpenClaw Installer is an open-source one-click deployment and configuration tool for installing OpenClaw — a personal AI assistant — onto systems with minimal manual setup, giving users a streamlined path to get their own AI assistant running quickly. The project provides shell scripts and configuration menus that detect the host environment, install dependencies, download OpenClaw, configure core settings like AI models and identity channels, and start the server automatically. It supports multiple platforms, including macOS, Linux distributions (Ubuntu, Debian, CentOS), and Windows environments via compatible shells, and simplifies otherwise complex installation steps into a guided, terminal-based experience. ...
    Downloads: 30 This Week
    Last Update:
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  • 2
    Qwen Code

    Qwen Code

    Qwen Code is a coding agent that lives in the digital world

    ...Qwen Code automates various development workflows, including handling pull requests and performing complex git rebases. It runs on Node.js (version 20 or higher) and can be installed globally via npm or from source. Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. With Qwen Code, developers can explore codebases, refactor and optimize code, generate documentation, and automate repetitive tasks directly from the terminal.
    Downloads: 31 This Week
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  • 3
    nono

    nono

    Secure, kernel-enforced sandbox CLI and SDKs for AI agents

    nono is an open-source, kernel-enforced capability shell designed to safely run AI agents and other untrusted processes under strict operating system controls. The project addresses a growing security concern: modern coding agents typically execute with full user permissions, which means they can potentially read sensitive files, modify system configurations, or exfiltrate credentials if compromised. nono solves this by applying default-deny sandboxing at the kernel level using technologies...
    Downloads: 6 This Week
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  • 4
    Flint Chart

    Flint Chart

    Visualization language that lets AI agents create expressive charts

    Flint Chart is a visualization language and compiler built for AI-era chart creation. It lets agents and humans write compact, editable chart specifications without manually tuning every axis, label, scale, legend, or layout setting. The compiler uses data, semantic types, chart type, and encodings to derive polished chart settings automatically. One Flint input can compile into native Vega-Lite, ECharts, or Chart.js specifications. The repository includes a TypeScript library, an MCP server, a demo site, documentation, test data, and an early Python port. ...
    Downloads: 2 This Week
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  • 5
    RWARE

    RWARE

    MuA multi-agent reinforcement learning environment

    robotic-warehouse is a simulation environment and framework for robotic warehouse automation, enabling research and development of AI and robotic agents to manage warehouse logistics, such as item picking and transport.
    Downloads: 0 This Week
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  • 6
    eve

    eve

    The Framework for Building Agents

    eve is Vercel’s open-source framework for building, running, and scaling durable backend AI agents. It uses a filesystem-first model where an agent is defined as a directory of files, making the project structure itself the agent contract. The framework is designed to include production concerns from the start instead of leaving developers to assemble durability, sandboxing, approvals, and deployment separately. Eve supports durable execution, sandboxed compute, human-in-the-loop approvals,...
    Downloads: 1 This Week
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  • 7
    TencentDB Agent Memory

    TencentDB Agent Memory

    TencentDB Agent Memory delivers fully local long-term memory for AI

    ...For personalization, it organizes memory from raw conversations into atoms, scenarios, and persona-level knowledge. The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency.
    Downloads: 1 This Week
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  • 8
    Sandbox Agent

    Sandbox Agent

    Run Coding Agents in Sandboxes

    ...The project focuses on enabling more reliable and auditable agent behavior by separating execution from the host environment, which is especially important for applications involving automation, code generation, or system-level operations. Developers can use Sandbox Agent to simulate real-world workflows, debug agent decisions, and evaluate outcomes in a contained setting before deploying to production. It also supports extensibility, allowing integration with custom tools, APIs, and workflows tailored to specific use cases.
    Downloads: 0 This Week
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  • 9
    DeepSeek Engineer v2

    DeepSeek Engineer v2

    A powerful coding assistant application

    ...Version 2.0 focuses on native function calling instead of rigid structured JSON responses. The assistant can read files, read multiple files, create files, create multiple files, and edit specific snippets when needed. It includes safeguards such as path validation, directory traversal protection, file size limits, and binary file exclusion. Overall, it is designed for developers who want a conversational coding tool that can inspect, modify, and reason about project files from the command line.
    Downloads: 0 This Week
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  • 10
    Hello-Agents

    Hello-Agents

    Building an Intelligent Agent from Scratch

    ...It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step task execution, enabling hands-on experimentation with modern LLM-powered agent systems. The repository is structured as a progressive learning path, combining theory, exercises, and runnable code so users can incrementally build more capable agents. Its goal is to demystify agent engineering and help developers move from simple prompt scripts to robust autonomous systems.
    Downloads: 0 This Week
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  • 11
    AutoAgent

    AutoAgent

    AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework

    ...It also describes resource orchestration and iterative self-improvement behaviors, including controlled code generation for building tools and agent capabilities when needed. The project is designed to work with multiple LLM providers and model endpoints, allowing users to choose different backends by setting environment variables and model identifiers.
    Downloads: 0 This Week
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  • 12
    Multi-Agent path planning in Python

    Multi-Agent path planning in Python

    Python implementation of a bunch of multi-robot path-planning

    multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI.
    Downloads: 3 This Week
    Last Update:
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  • 13
    A platform for setting up autonomic services in a distributed environment. Provides service discovery, service provisioning / usage, autonomic adaptation to the context, mobility, support for supervision and service aggregation, and more.
    Downloads: 0 This Week
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  • 14
    It's an implementation of the A* algorithm together with a grid processor which pre-processes 8-bit bpm graphic files using a variable resolution and an SDL user interface to test it.
    Downloads: 0 This Week
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