Guide
RAG Selection Signals
Agents should inspect data connectors, vector database assumptions, deployment target, maintenance score, and collection metadata for resource hubs.
Git.Top Guide
RAG frameworks and related retrieval projects for agents that need indexing, retrieval, memory, and knowledge workflows.
Guide
Agents should inspect data connectors, vector database assumptions, deployment target, maintenance score, and collection metadata for resource hubs.
Guide
Use this page for project discovery around retrieval augmented generation, document indexing, agent memory, and knowledge-base application stacks.
Data Source
1213 loaded projects. Generated at 2026-09-20T00:11:49.728Z.
Project
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Project
LLM inference in C/C++
Project
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Project
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management.
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The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
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Build resilient agents.
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An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Collection
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Project
Port of OpenAI's Whisper model in C/C++
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LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Collection
18 Lessons to Get Started Building AI Agents
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Scrapy, a fast high-level web crawling & scraping framework for Python.