AutoRAG
Marker-Inc-Korea
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
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Results: 188
Marker-Inc-Korea
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
CortexReach
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
agentscope-ai
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
gptme
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!
oracle-devrel
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
SylphAI-Inc
AdalFlow: The library to build & auto-optimize LLM applications.
NVIDIA
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
AIDC-AI
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
volcengine
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
GiovanniPasq
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Agent-Field
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
Meirtz
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…
EvoAgentX
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
modelscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.