awesome-repositories.com
Blog
MCP
awesome-repositories.com

Découvrez les meilleurs dépôts open-source grâce à notre recherche par IA.

ExplorerRecherches sélectionnéesAlternatives open sourceLogiciels auto-hébergésBlogPlan du site
ProjetServeur MCPÀ proposNotre méthodologiePresse
Mentions légalesConfidentialitéConditions d'utilisation
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

4 dépôts

Awesome GitHub RepositoriesDefault Model Selection

Capabilities for setting a preferred AI model to be used automatically for new sessions.

Distinct from Model Configuration Settings: Focuses on the selection of a default model for new chats, whereas Model Configuration Settings focus on parameter tuning like temperature.

Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Default Model Selection. Refine with filters or upvote what's useful.

Awesome Default Model Selection GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • refly-ai/reflyAvatar de refly-ai

    refly-ai/refly

    7,393Voir sur GitHub↗

    Refly is an open-source platform for building, running, and sharing deterministic agent skills. It provides a visual workflow compiler that converts natural language descriptions into executable, versioned agent workflows, and includes a runtime that deploys these compiled skills as APIs, webhooks, Slack bots, or native tools for AI coding platforms like Claude Code and Cursor. The platform distinguishes itself through a central skill registry with versioning and audit logging, enabling teams to manage agent capabilities as governed corporate assets. It supports human-in-the-loop automation,

    Sets a preferred AI model to be used automatically for new conversations and workflows.

    TypeScriptagentagent-skillsautomation
    Voir sur GitHub↗7,393
  • nagi-ovo/gemini-voyagerAvatar de Nagi-ovo

    Nagi-ovo/gemini-voyager

    7,038Voir sur GitHub↗

    Gemini Voyager is a browser-based toolkit designed to enhance the interface and workflow of large language model web applications. It serves as a conversation manager, an output renderer, and a prompt library manager, allowing users to customize the layout and functionality of AI chat interfaces. The project distinguishes itself through advanced content handling, such as removing image watermarks by reversing alpha blending to restore original pixels. It also provides specialized rendering for LaTeX mathematical formulas and Mermaid diagrams, alongside tools to fix broken Markdown formatting

    Allows users to set a preferred AI model that is automatically selected whenever a new conversation begins.

    TypeScriptai-studiobunchat-management
    Voir sur GitHub↗7,038
  • moonshotai/kimi-cliAvatar de MoonshotAI

    MoonshotAI/kimi-cli

    6,503Voir sur GitHub↗

    Kimi is a terminal-based AI agent that autonomously plans and executes software development tasks by reading, editing, and running code. It operates as an intelligent command-line agent that breaks down high-level goals into sequences of shell commands and code edits, carrying them out without manual step-by-step guidance. The agent can run in an interactive loop, switch to a shell mode for direct terminal command execution, and operate in non-interactive or one-shot modes suitable for scripting. The project distinguishes itself through multiple integration and execution modes. It can run as

    Overrides the default language model used for generating responses in a session.

    Python
    Voir sur GitHub↗6,503
  • crmne/ruby_llmAvatar de crmne

    crmne/ruby_llm

    3,566Voir sur GitHub↗

    ruby_llm is an LLM integration framework and AI agent orchestrator designed to connect applications to multiple large language model providers through a unified interface. It serves as a toolkit for building autonomous assistants with custom personas, managing structured output via JSON schemas, and implementing vector embedding engines for semantic search. The project distinguishes itself as an observability suite and multimodal toolkit. It provides specialized capabilities for tracking token usage, calculating model costs, and tracing workflows via OpenTelemetry, while supporting the proces

    Allows defining global default models for chat, embeddings, and image generation to simplify API calls.

    Rubyaianthropicchatgpt
    Voir sur GitHub↗3,566
  1. Home
  2. Artificial Intelligence & ML
  3. Model Configuration Settings
  4. Default Model Selection