Showing 4 open source projects for "decision"

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    Claude Code Architecture Study

    Claude Code Architecture Study

    Research on Coding Agents

    Claude Code Architecture Study is an educational and experimental repository designed to teach developers how to build, configure, and understand AI coding agents from first principles. The project focuses on breaking down the architecture of agentic systems, including how models perceive context, make decisions, and execute actions in a coding environment. It likely provides step-by-step examples, conceptual explanations, and practical implementations that guide users through creating their...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Compound Engineering

    Compound Engineering

    Official Compound Engineering plugin for Claude Code, Codex, Cursor

    ...The plugin integrates with multiple AI coding environments, including Claude Code and other tools, enabling consistent workflows across platforms. It also supports automated code review and ideation processes, leveraging multiple agents to enhance quality and decision-making. By codifying patterns and learnings, it creates a feedback loop that improves productivity over time.
    Downloads: 3 This Week
    Last Update:
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  • 3
    claurst

    claurst

    Your favorite Terminal Coding Agent, now in Rust

    ...The project likely explores how agents can be designed to handle complex workflows through modular components and clearly defined execution steps. It may include abstractions for managing context, decision-making, and interaction with external tools, enabling agents to perform multi-step tasks efficiently. The architecture suggests a focus on flexibility, allowing developers to adapt the system to different use cases or domains. It is likely intended as a lightweight but extensible platform for experimenting with agent behavior and orchestration. ...
    Downloads: 0 This Week
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  • 4
    Edgee

    Edgee

    AI gateway with token compression for Claude Code, Codex, and more

    ...The platform is built to support event-driven architectures, where actions are triggered by incoming requests, user behavior, or external signals. It integrates AI capabilities into edge environments, making it possible to perform inference, personalization, and decision-making at the point of interaction. Edgee is optimized for performance and scalability, leveraging distributed execution to handle high volumes of requests efficiently. It also emphasizes developer experience, providing tools and abstractions that simplify deployment and orchestration across edge nodes.
    Downloads: 0 This Week
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