Showing 7 open source projects for "autonomous"

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  • 1
    ZeroClaw

    ZeroClaw

    Fast, small, and fully autonomous AI assistant infrastructure

    ...Security is a first-class concern, with sandbox controls, encrypted secrets, allowlisted operations, and scoped filesystem access by default, helping reduce risk when running autonomous agents.
    Downloads: 7 This Week
    Last Update:
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  • 2
    OpenShell

    OpenShell

    OpenShell is the safe, private runtime for autonomous AI agents.

    OpenShell is an open-source runtime designed to safely run autonomous AI agents in isolated environments. Developed by NVIDIA, it provides sandboxed execution spaces that protect system resources, credentials, and data from unauthorized access. Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior.
    Downloads: 5 This Week
    Last Update:
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  • 3
    Rust Port

    Rust Port

    The Rust workspace under rust/ is the current systems-language port

    Rust Port is an open-source reconstruction and experimentation framework derived from leaked or reverse-engineered versions of advanced AI coding agents, designed to replicate and extend the capabilities of agentic development systems. It functions as a programmable coding assistant that operates through autonomous workflows, enabling users to generate, modify, and analyze code with minimal manual intervention. The project emphasizes agent-based execution, where tasks are broken down into steps and handled iteratively, simulating how modern AI coding tools operate in production environments. It is often used as a sandbox for exploring how large-scale coding agents behave, including their decision-making processes, tool usage, and workflow orchestration. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Claw Code

    Claw Code

    AI agent harness for AI coding agents

    Claw Code is an open-source AI agent harness project focused on building better tools for orchestrating and managing autonomous coding agents. It originated as a clean-room reimplementation inspired by the architecture of Claude Code, aiming to replicate core concepts without using proprietary code. The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines. It emphasizes harness engineering—how agents are structured, how they interact with tools, and how they maintain context during execution. ...
    Downloads: 12 This Week
    Last Update:
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  • 5
    Agent Client Protocol (ACP)

    Agent Client Protocol (ACP)

    A protocol for connecting any editor to any agent

    ...It defines how an interactive editor can connect to an agent that reads, edits, and reasons about source code. The project is meant to reduce fragmentation between IDEs, terminal tools, and autonomous coding systems by creating a shared communication layer. Its goal is to let any compatible editor work with any compatible coding agent without every integration being custom-built. The repository includes protocol materials and SDK-related ecosystem work for clients and agents. It is useful for editor makers, agent builders, and tool developers who want cleaner interoperability in AI-assisted software development.
    Downloads: 2 This Week
    Last Update:
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  • 6
    OpenFang

    OpenFang

    Open-source Agent Operating System

    OpenFang is an open-source agent operating system designed to orchestrate autonomous AI agents and workflows in a structured, production-oriented environment. Written primarily in Rust, the project focuses on building a high-performance runtime where multiple specialized agents can collaborate to complete complex computational or development tasks. It aims to move beyond simple chat-based agents by providing infrastructure for persistent agent memory, task coordination, and scalable execution. ...
    Downloads: 2 This Week
    Last Update:
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  • 7
    Shinkai: Local AI Agents

    Shinkai: Local AI Agents

    Shinkai allows you to create advanced AI (local) agents effortlessly

    ...Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized payments and transactions - Flexible AI Models - Choose from cloud models (GPT-4, Claude) or run locally - Universal Compatibility - Works with Model Context Protocol (MCP) for cross-platform integration - Local Security - Crypto keys and computations stay on your device Shinkai transforms AI from single-task tools into collaborative, autonomous systems that can operate in decentralized networks while maintaining privacy and security.
    Downloads: 0 This Week
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