RAG & Retrieval
Retrieval-augmented generation: pipelines, embeddings and search layers that ground models in real data.

Markdown filesystem for agents and teams.

Read, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.

Cross-agent persistent memory for coding assistants. Stored compressed. Retrieved fast. Local by default.

A NodeJS RAG framework to easily work with LLMs and embeddings

Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space

Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.

A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.

把中文全渠道内容(抖音 / B站 / 小红书 / 公众号 / X / 播客)采集进个人知识库的 13 个 AI Skill:图文存图、视频转文字稿、字幕优先免 GPU,附带知识库 MCP server。 | Ingest Chinese content into your personal knowledge base — image/video routing, subtitle-first transcription, and a KB MCP server.

One memory layer, every AI tool. Store anything once — recall it in Claude, ChatGPT, Cursor, or any MCP client. Self-hosted on Cloudflare's free tier.

The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.

A dead-simple API to build LLM-powered apps

🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

Your Local Artificial Memory on your Device.

A prior-art search for your code ideas — has this dev tool already been shipped?

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

🔥🔥🔥 Turn AI-written code into real apps. Nubase is an open-source, AI-native backend platform for AI Coding, agentic applications, and modern product teams: Memory, Database, Storage, and Auth in one self-hostable service.

A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.

AI-powered IDE for novel writing — local LLM + RAG, privacy-first, BYOK. For web fiction authors and creative writers.

An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.

Your First LLM-Wiki Conversation Knowledge Base

AI 应用开发、AI 编程实战与面试指南,涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.

Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

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.

🌱 Argus 是一个基于 RAG 架构的开源知识库平台,后端采用 Java 21 + Spring Boot + MyBatis-Plus + PostgreSQL/pgvector,前端采用 Vue 3 + TypeScript + Element Plus,AI 层基于 Spring AI Alibaba(通义千问)+ ReactAgent 图引擎,以 MinIO + Elasticsearch 为存储与检索引擎。

A universal, industry-neutral taxonomy of cognitive core skills (perception, memory, reasoning, planning, action, verification, learning, governance) for LLMs, SLMs, AI agents, and world models — with schemas, 159 skill cards, benchmarks, and CI.

Serverless, 100% free, and open-source Evernote alternative on Cloudflare with native MCP | 无需服务器、0费用、原生支持 AI Agent 的开源自托管『印象笔记』

Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.

本地优先的微信内容情报库:同步公众号文章,保存精选评论和互动数据,供 Codex/Claude Code 做内容研究。