awesome-repositories.com
Blog
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoAcerca deCómo clasificamosPrensaServidor MCP
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

4 repositorios

Awesome GitHub RepositoriesContext Engineering

Techniques for structuring input data and instructions to guide model behavior.

Distinguishing note: Focuses on hierarchical structuring of context rather than simple prompt design.

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

Awesome Context Engineering GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • thedotmack/claude-memAvatar de thedotmack

    thedotmack/claude-mem

    82,698Ver en GitHub↗

    Claude-mem is an agentic memory persistence system designed to provide AI assistants with long-term context across multiple development sessions. It functions as a background orchestrator that captures, summarizes, and indexes interaction history, allowing models to maintain continuity and recall technical decisions from past tasks. By utilizing a vector-augmented context engine, the system injects relevant historical observations into active sessions, ensuring that AI agents remain informed without exceeding finite token budgets. The project distinguishes itself through an endless memory arc

    Provides techniques to curate token usage across turns to maximize model performance.

    JavaScriptaiai-agentsai-memory
    Ver en GitHub↗82,698
  • dair-ai/prompt-engineering-guideAvatar de dair-ai

    dair-ai/Prompt-Engineering-Guide

    75,678Ver en GitHub↗

    This project is a comprehensive educational resource and technical guide focused on the development, optimization, and application of large language models. It provides a structured curriculum for mastering prompt engineering, ranging from foundational principles of instruction design to advanced techniques for improving model reasoning, accuracy, and reliability. The guide distinguishes itself by offering deep technical insights into agentic workflows and autonomous system design. It covers the implementation of multi-step reasoning chains, tool integration through function calling, and stat

    Structures input data and instructions to manage agent behavior and maintain domain-specific knowledge.

    MDXagentagentsai-agents
    Ver en GitHub↗75,678
  • block/gooseAvatar de block

    block/goose

    49,564Ver en GitHub↗

    Goose is an extensible agentic AI platform designed for autonomous task orchestration and developer-centric assistance. It provides a workflow engine that manages complex, multi-step objectives by delegating tasks to specialized subagents, all while maintaining stateful session continuity. The system is built to integrate directly into terminal and coding environments, allowing for automated file manipulation and context-aware interaction. The platform distinguishes itself through a secure, sandboxed runtime environment that enforces granular permission controls and policy-driven guardrails.

    Supplies relevant codebase information and instructions to guide reasoning processes and improve response accuracy.

    Rustmcp
    Ver en GitHub↗49,564
  • sillytavern/sillytavernAvatar de SillyTavern

    SillyTavern/SillyTavern

    29,463Ver en GitHub↗

    SillyTavern is a comprehensive interface and orchestration platform designed for immersive AI roleplay and interactive chat experiences. It functions as a unified gateway that connects users to a wide array of local and cloud-based large language models, providing a centralized environment to manage complex character personas, narrative context, and model-driven interactions. The platform distinguishes itself through its advanced prompt engineering and automation capabilities. It utilizes a sophisticated macro-based templating engine and vector-database retrieval to dynamically inject lore, c

    Reserves token buffers within the context limit to prevent premature truncation of character definitions.

    JavaScriptaichatllm
    Ver en GitHub↗29,463
  1. Home
  2. Artificial Intelligence & ML
  3. Context Engineering