Havuz

End-to-end educational RAG system: dual-engine retrieval (BM25 + BGE-M3 hybrid vector search), adaptive query strategies (HyDE/sub-query/bac

Local-first cognitive daemon for automated vault management Markdown. Semantic indexing, auto-tagging, and connection discovery using LLMs a

简悦 Andrej Karpathy LLM Wiki 方案

Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge gra

Local-first markdown notes with a first-class MCP server. 16 tools + 2 resources for Claude Code, Claude Desktop, Cursor and any MCP agent.

Give any MCP-capable agent persistent memory: remember/recall over a tiered store with hybrid vector + keyword retrieval. Single Go binary,

The ultimate memory backend for OpenClaw and Claude Code. Persistent conversation memory with LLM fact extraction, foundation-model rerankin

DURU — 두루 돕는 AI · 내 PC에 설치해 내 문서를 근거로 답하는 AI 에이전트. 망분리 환경 동작, 지식베이스·에이전트를 암호화한 파일로 공유. An on-premise AI agent that answers from your own doc

AI-powered personalized IELTS corpus distillation — install-only skill (zero-backend Agent loop) + runnable backend with QMD-RAG. 7-stage pi

Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.

AI Agent engineering and quantitative finance knowledge base: source-level architecture analysis, Agent-to-Agent protocol research, runnable

Turn documents into high-quality instruction datasets with grounding, quality filtering, deduplication, and provenance.

Local NotebookLM for Claude Code via Google Antigravity (agy / Gemini 3.x): /agy:notebook turns a folder of documents into per-doc summaries

Unified multi-layer caching library for AI/agent pipelines — LangChain, LangGraph, AutoGen, CrewAI, Agno, A2A

Open-source causal graph memory for AI agents. 85.55 on LoCoMo under a frozen, reproducible protocol. MCP server with ACT-R scoring, spreadi

Self-hostable agentic OS. Build, run & audit multi-agent AI teams from signed plugins. Bring your own LLM key, own all your data, EU/GDPR-re

A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18

🦅 Open-source AI agent runtime in Rust — Self-hostable with persistent memory, self-improving skills, MCP support, built-in cron, multi-plat

🏛️ Memory OS for AI agents — every conversation becomes a catalog card (archive no · entities · evidence · trace back to the transcript). Fo

TypeScript knowledge graph RAG for AI agents: source evidence, hybrid retrieval, MCP integration, and a permission-aware PostgreSQL runtime.

Your agents, briefed. Not flooded. Self-hosted context compiler: git-backed team knowledge served to coding agents as token-budgeted bundles

AI brain for your Paperless-ngx archive — chat with your documents via local (Ollama) or cloud LLMs, with agentic tool use, semantic search

AI-powered SaaS translation platform for web novels — batch translate with RAG memory, multi-agent collaboration, Stripe billing, Chrome ext

Chat with your X bookmarks. Turn saved posts into answers, drafts, plans, and decisions

ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server

Dive is a secure, local-first desktop client for LllamaCCP, LmStudio, Ollama, Pi agentic AI and Cloud. Features an ultra-compact offline RAG

Privacy-first document intelligence engine — parse PDFs, DOCX, PPTX, XLSX & CSV into AI-ready chunks for RAG pipelines. Includes HITL review

Forty hands-on recipes for production-grade retrieval-augmented generation, Nebius-first and provider-agnostic.

Local-first desktop assistant for the whole job hunt — scrape listings, match with a local LLM, generate applications in your own voice, and

A comprehensive hands-on, AI-first Python curriculum with 80+ interactive Jupyter notebooks for AI Engineers from core basics to LLMs, RAG,

Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG).

Red-team your RAG pipeline for prompt injection, source-document leakage, and cross-document smuggling, in CI. The gap between RAG eval (RAG

端到端智能体平台：把本机的 AI Agent 变成人人可用的 Web 产品（Vue 3 + Flask + Go WS 网关 + Docker 部署）

Stop feeding broken Markdown to your AI. A deterministic Logseq parser that preserves parent-child context for RAG, plus a 60FPS visualizer

Knowledge-base-driven article generation, fact audit, and 7-platform publish packs for WeChat, Xiaohongshu, Zhihu, Juejin, CSDN, Toutiao, an

Self-hosted LLM/RAG stack in one command — AMD Strix Halo / x86_64 (ROCm/Vulkan, Docker Compose)

Enterprise-grade FastGPT workflow JSON generator - Works with Claude Code, OpenClaw, Costrict.ai, Trae and any skill-based AI platform

Federated, local-first search for an AI — one query across transcripts, files, knowledge graph, vector store, and the web, fused by trust-we

AI 原生多租户 SaaS 开发框架 — FastAPI + Vue 3 + PostgreSQL，内置 AI Agent、RAG、插件系统、RBAC、异步任务等核心能力，助力快速构建行业 SaaS 应用。

Reproducible benchmark and reference pipeline for reranked long-term memory retrieval

Cybersecurity knowledge graph for code review with evidence-backed answers

Scaffolding skill + always-on conventions (CLAUDE.md/AGENTS.md) for Quarkus + LangChain4j agentic AI apps: AI services, multi-agent workflow

NAS OS

Local codebase indexing and search tool. Supports hybrid search, flow tracing and impact analysis.

基于 FastAPI + Vue 3 构建的智能客服系统，具备 RAG（检索增强生成）与 AI Agent 核心能力，可为企业提供高效、可扩展的智能客服解决方案。

A verifiable, time-aware knowledge ledger your LLM keeps for you. An evolution of the LLM Wiki pattern, built on Claude Code.

网文平台资源配置决策助手：GraphRAG 两阶段检索 + ReAct Agent + 规则引擎兜底，方案合法率 60%→100%

EKOS is an AI-native platform that continuously reconstructs, compiles, stores and serves enterprise knowledge.

A shared AI agent for your team. Everyone trains it together; everyone talks to it privately. Self-hostable, FSL-1.1-ALv2.

Advanced Memory for LLM characters