Showing 10 open source projects for "python tool"

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  • 1
    Claw Code

    Claw Code

    AI agent harness for AI 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. The system is being actively expanded, with a Rust-based runtime in development to improve performance and memory safety. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    OpenAI Harmony

    OpenAI Harmony

    Renderer for the harmony response format to be used with gpt-oss

    Harmony is a response format developed by OpenAI for use with the gpt-oss model series. It defines a structured way for language models to produce outputs, including regular text, reasoning traces, tool calls, and structured data. By mimicking the OpenAI Responses API, Harmony provides developers with a familiar interface while enabling more advanced capabilities such as multiple output channels, instruction hierarchies, and tool namespaces. The format is essential for ensuring gpt-oss...
    Downloads: 10 This Week
    Last Update:
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  • 3
    Monty

    Monty

    A minimal, secure Python interpreter written in Rust for use by AI

    ...It prioritizes guardrails like resource limits and restricted capabilities, which is especially useful for agentic workflows that need to execute small pieces of Python for data transforms, validation, or tool-like computations. Because it’s written in Rust, it’s positioned to deliver a compact, portable runtime that can be embedded into larger systems that need dependable isolation.
    Downloads: 1 This Week
    Last Update:
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  • 4
    Code2Prompt

    Code2Prompt

    Convert codebases into structured prompts optimized for LLM analysis

    ...The generated output can be saved to a file, printed to standard output, or copied to the clipboard for immediate use. In addition to the core command line interface, the project also includes a library, Python bindings, and an MCP server.
    Downloads: 6 This Week
    Last Update:
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    Headroom Desktop

    Headroom Desktop

    Menu bar app for macOS, Windows and Linux that cuts Claude Code

    ...It works with Claude Code, ChatGPT Codex, OpenCode, and Grok Build without requiring changes to established coding workflows. A local proxy compresses repetitive logs, structured data, and unnecessary tool output before forwarding requests to AI providers. Original content can be retrieved when needed to preserve context. The application manages an isolated Python runtime without modifying the system installation. Optional tools provide command output compression, document conversion, and codebase analysis. A dashboard displays token savings, usage statistics, and pipeline health. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    Cog

    Cog

    Package and deploy machine learning models using Docker containers

    Cog is an open source tool designed to package machine learning models into standardized, production-ready containers. It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best practices. ...
    Downloads: 0 This Week
    Last Update:
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  • 7
    BaseRT

    BaseRT

    Fastest LLM inference runtime for Apple Silicon

    ...A unified command-line interface can download models from Hugging Face, convert checkpoints, launch chats, benchmark performance, and inspect model packages. Its server implements OpenAI-compatible chat, completion, embedding, transcription, tool-calling, and multimodal endpoints. The custom .base format supports affine quantization from Q2 through Q8, optional AWQ calibration, and signed model bundles. Stable C interfaces connect the engine with Python, Node.js, Rust, and Swift applications. The repository contains the open CLI, format specifications, bindings, documentation, and benchmarks, while the prebuilt inference engine uses a separate license.
    Downloads: 0 This Week
    Last Update:
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  • 8
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search...
    Downloads: 2 This Week
    Last Update:
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  • 9
    shimmy

    shimmy

    Python-free Rust inference server

    The shimmy project is a lightweight local inference server designed to run large language models with minimal overhead. Written primarily in Rust, the tool provides a small standalone binary that exposes an API compatible with the OpenAI interface, allowing existing applications to interact with local models without significant code changes. This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture...
    Downloads: 1 This Week
    Last Update:
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  • 10
    Shinkai: Local AI Agents

    Shinkai: Local AI Agents

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

    Shinkai is a free, open-source AI platform that lets anyone create powerful AI agents without coding. These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. 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...
    5.0 out of 5 stars 6 Reviews
    Downloads: 4 This Week
    Last Update:
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