Showing 4 open source projects for "ai framework"

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  • 1
    Quint Code

    Quint Code

    Structured reasoning framework for Claude Code, Gemini, and Cursor

    Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding.
    Downloads: 0 This Week
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  • 2
    Mistral Vibe CLI

    Mistral Vibe CLI

    Minimal CLI coding agent by Mistral

    Mistral Vibe is an AI-powered “vibe-coding” command-line interface (CLI) and coding-assistant framework built by Mistral AI to let developers write, refactor, search, and manage code through natural language and context-aware automation, rather than manual typing only. It aims to take developers out of repetitive boilerplate and let them stay “in the flow”: you can ask the tool to generate functions, refactor code, search across the codebase, manipulate files, commit changes via Git, or run commands — all from a unified CLI interface. ...
    Downloads: 13 This Week
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  • 3
    Auto Claude

    Auto Claude

    Autonomous multi-session AI coding

    Auto-Claude is an autonomous, multi-agent coding framework that organizes software work into a structured workflow where agents plan, build, and validate code with minimal manual micromanagement. Instead of relying on a single chat thread to do everything, it uses coordinated agents and a task-driven approach so multiple steps—like investigation, implementation, and testing—can be executed systematically. The project aims to make “agentic software engineering” feel like running a small...
    Downloads: 13 This Week
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  • 4
    Modelence

    Modelence

    Modelence is an all-in-one TypeScript platform

    Modelence is an all-in-one TypeScript platform aimed at helping teams ship production web apps with far less boilerplate than a typical full-stack setup. It positions itself as a Supabase-style experience tailored toward MongoDB-centric development, bundling common backend needs like authentication, database integration, and observability into a cohesive framework. The project is built to support modern application workflows where product teams want to move quickly without stitching together...
    Downloads: 0 This Week
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