context-engineering

There are 165 repositories under context-engineering topic.

  • cognee

    topoteretes/cognee

    Memory for AI Agents in 6 lines of code

    Language:Python8.3k45300774
  • volcengine/MineContext

    MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)

    Language:Python3.4k19123208
  • cocoindex

    cocoindex-io/cocoindex

    Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!

    Language:Rust3.2k20225261
  • Meirtz/Awesome-Context-Engineering

    🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

  • tangyuanbo1/LifeTrace_app

    Auto-Manage Your Personal Task Context with AI.

    Language:HTML1.2k40359
  • apecloud/ApeRAG

    ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

    Language:Python918939696
  • context-space/context-space

    Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

    Language:Go78524077
  • trustgraph-ai/trustgraph

    Transform data into AI-ready context. Deploy knowledge graphs, private LLMs, and intelligent agents with complete data sovereignty. From data silos to actionable AI insights.

    Language:Python729135658
  • kayba-ai/agentic-context-engine

    🧠 Make your agents learn from experience. Based on the Agentic Context Engineering (ACE) framework.

    Language:Python53981
  • vanzan01/claude-code-sub-agent-collective

    🧠 Context Engineering Research - Not just another agent collection, but using research and context engineering to function as a collective. Hub-and-spoke coordination through Claude Code.

    Language:JavaScript4548727
  • SynaLinks/synalinks

    🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

    Language:Python35431633
  • context-hub/generator

    CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.

    Language:PHP246512413
  • Cluster444/agentic

    An agentic workflow tool that provides context engineering support for opencode

    Language:TypeScript1408
  • junjiem/dat

    Asking yours data in a natural language way through pre-modeling (data models and semantic models).

    Language:Java1389
  • bernatsampera/event-deep-research

    AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

    Language:Python12719
  • nemori-ai/nemori

    A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memory frameworks for conversational tasks.

    Language:Python1136
  • Denis2054/Building-Business-Ready-Generative-AI-Systems

    This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

    Language:Jupyter Notebook10729
  • BA-CalderonMorales/terminal-jarvis

    In the midst of all the tools out there that you can possibly use to keep track of them. Here's a "shovel" that just works to try them all out.

    Language:Rust10314
  • RapidFireAI/rapidfireai

    RapidFire AI: Rapid Experimentation Engine for Customizing LLMs

    Language:JavaScript869
  • danielmeppiel/apm

    Agent Package Manager

    Language:Python796
  • submodular-optimization

    jina-ai/submodular-optimization

    Submodular optimization for context engineering: query fan-out, text selection, passage reranking

    Language:Jupyter Notebook7610
  • AI-Governor-Framework

    Fr-e-d/AI-Governor-Framework

    The Keystone Framework for AI-Driven Code ! Turn any AI coding assistant into a disciplined, project-aware engineering partner that respects your architecture and coding standards

  • yzfly/awesome-context-engineering

    A curated collection of resources, papers, tools, and best practices for Context Engineering in AI agents and Large Language Models (LLMs).

  • Apoo711/Context-Engineering

    🚀 A framework for Context Engineering using Google Gemini. Move beyond simple prompting and learn to systematically provide context to your AI coding assistant for more reliable, consistent, and complex software development.

    Language:Shell691128
  • context-machine-lab/ContextAgent

    Context-central multi-agent framework with PyTorch-like API. Build intelligent agent systems with minimal code.

    Language:Python675
  • FareedKhan-dev/contextual-engineering-guide

    Implementation of contextual engineering pipeline with LangChain and LangGraph Agents

    Language:Jupyter Notebook6512
  • ursisterbtw/ccprompts

    practical claude code commands and subagents

    Language:JavaScript638
  • timescale/tiger-cli

    Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write production-level Postgres code.

    Language:Go562
  • ramakay/claude-organizer

    AI-powered file organization and context engineering that understands content, not patterns. Automatically sorts temporary scripts from permanent docs while preserving your workflow. Works seamlessly with Claude Code hooks. Protects README, LICENSE, configs.

    Language:TypeScript517
  • ldclabs/KIP

    🧬 KIP is a Knowledge-memory Interaction Protocol designed for LLMs, aiming to build a sustainable learning and self-evolving memory system for AI Agents.

  • yzfly/ContextX

    ContextX: Context-driven AI development framework powered by Claude Code. Transform documents into complete projects with intelligent agent workflows.

    Language:Shell48003
  • AxWise-GmbH/axwise-flow

    Your AI Context Engineering 2.0 Agent - from Raw Idea to Actionable Plan

    Language:Python39
  • Deltaidiots/memoripilot

    Give Copilot a memory! MemoriPilot provides seamless, persistent context management that makes Copilot aware of your project decisions, progress, and architectural patterns - dramatically improving the relevance and quality of AI assistance.

    Language:TypeScript371
  • sathariels/context-engineering-intro-GeminiCLI

    Context engineering is the new vibe coding – it’s how to actually make AI coding assistants work. Gemini CLI is the best for this, and this repo is based on the coleam00 template made for Claude Code!

  • forefy/.context

    AI Agent Instructions for Smart Contract Auditing to generate triaged report findings, code locations, pocs, attacker story uml charts and more

  • devlyai/AgentCheck

    Local AI-powered code review agents for Claude Code