Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Retrieval-augmented generation, document Q&A, knowledge graphs and memory systems.
Signals: rag, retrieval-augmented-generation, llamaindex, knowledge-graph, question-answering, chat-with-documents, graphrag, memory
501 results
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Swift-based vector database for on-device RAG using MLTensor and MLX Embedders
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
Automatically create new skills based on past agent traces
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
:brain: 100% Local Memory layer and Knowledge base for agents with WebUI
Sparnatural : visual knowledge graph explorer with SPARQL, in the browser, configurable with SHACL
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
A trading review knowledge base powered by LLM 专为交易者设计的 LLM 驱动知识库：快速复盘、交割单导入、FIFO 盈亏计算、个股归档与截图讨论。
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
Persistent memory for LLMs and apps. Content-addressed storage with dedupe, compression, full-text and vector search.
Full-text and semantic search on any Postgres
Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.
AI时代的WordPress，东半球首个积木式AI应用搭建系统，人人都可免费搭建自己的AI应用系统，例如企业智能体系统、AI漫剧系统、AI论文学术系统、AI客服系统...
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search
A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.
Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。
A highly extensible private cloud storage solution for individuals and teams, featuring AI-powered semantic search.
Ramulator 2.0 is a modern, modular, extensible, and fast cycle-accurate DRAM simulator. It provides support for agile implementation and evaluation of new memory system designs (e.g., new DRAM standards, emerging RowHammer mitigation techniques). Described in our IEEE CAL 2023 paper: https://arxiv.org/pdf/2308.11030.
[NeurIPS'25, ICLR'26] Graph Foundation Model for Retrieval Augmented Generation
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
24,538 repositories in the index in total.
