Havuz

Multi-model AI agent runtime. Define agents in YAML, route each role to a model, orchestrate with 7 patterns (ReAct, Plan & Execute, Fan-Out

privacy-first context graph engine for AI agents and human teams.

多模态电商智能导购 Agent - 基于 RAG 的购买决策助手（ByteDance AI Challenge 参赛项目）

Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Mar

KoutenDB: locality-aware NoSQL document/vector database built around rings and orbit-inspired retrieval

🚀 多Agent协作智能知识库系统 — 五层可编排Agent架构 + RAG全链路 + 统一ToolRegistry，Spring Boot + FastAPI + React，核心亮点是 五层可编排 Agent 架构——Interface、Orchestrator、Tool、M

Open-source natural-language analytics platform that converts business questions into safe, explainable SQL.

Spring AI multilingual customer-service Agent platform for cross-border ecommerce, with RAG, order tools, escalation, and Vue admin UI.

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

生产级通用 Text-to-SQL 服务：基于 FastAPI + LangGraph + RAG，将自然语言转换为安全可执行的 SQL，内置 SQL Guard、few-shot/schema 检索、限流、缓存、Langfuse 追踪、Prometheus/Grafana 监控

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

Local-first LLM wiki — ingests your documents into a curated, citation-backed knowledge base you can read and chat with. Marimo + SQLite/FTS

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

Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.

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

OpenBI- AI-native BI platform - chat with 90+ data sources, build dashboards, and automate reports. Self-hosted with Docker.

클로드코드 대화의 결정·약속·금지를 자동으로 기억하고, 검색·2D/3D 지식그래프·타임라인으로 보여주는 100% 로컬 기억 도구. 내보내기(6종)·가져오기(미리보기·되돌리기)·백업·복원, 의미검색 중단 알림, MCP 7도구 제공. 기억 데이터는 이 P

AI pull-request reviewer: hybrid RAG + a code graph + Claude Code/Codex. Whole-repo context, inline GitHub comments grounded on exact code.

Long-term memory infrastructure for .NET AI agents with semantic, temporal, spatial and robotics memory, hybrid retrieval, and pluggable pro

High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-on

Curso System Design Interview Notebook LM - From Zero to Production

Canonical memory infrastructure: BM25 recall over trusted files for AI agents.

AI chat platform with RAG, image recognition, SSE streaming, JWT auth, Redis, RabbitMQ, and Docker deployment.

Apricity — a fast, local-first web UI for MemPalace: browse, search, edit & curate your AI agent's memory, knowledge graph & vector store. Z

Türkçe SQL Server 2025 başucu kitabı: kod örnekleri, errata, topluluk soru-cevap · CC BY-NC-SA 4.0 + MIT

Production-ready RAG assistant for Moodle — containerized with Jenkins CI/CD on AWS.

Multi-tenant AI front desk grounded in a tenant's knowledge base via hybrid RAG (vector + BM25 + RRF), with human-inbox escalation

一个基于 LangChain + FastAPI 的扫地机器人领域智能客服 Agent，支持 RAG 知识库问答、多轮对话、JWT 认证与会话隔离、Redis 缓存与限流。适用于初学者自学RAG和Agent项目

Advanced RAG (Retrieval-Augmented Generation) system for private document intelligence. Uses OpenAI GPT-4o and Vector Databases to provide z

Agent memory for Claude Code, Cursor, Codex: MCP server + Graph RAG over your Obsidian or markdown notes. Wikilinks are the graph, SQLite th

Persistent, queryable memory for AI agents with intake policy, smart recall, context packs, graph recall, and multi-agent scoping

Local session transcript memory for Claude Code and Codex — search past sessions with FTS5 + semantic vectors.

Local-first personal knowledge base CLI — hybrid FTS + pgvector search, a GraphRAG entity graph, and LLM enrichment over your notes, transcr

Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief r

Storage engine for AI agents to navigate, store, and retrieve structured data. PostgreSQL ltree, built-in versioning, scoped queries.

Knowledge engine for AI agents: your documents become a git-versioned markdown knowledge graph the agent navigates over MCP. Curated summari

single-executable / library which combines llama.cpp, whisper.cpp, and stable-diffusion.cpp

A Retrieval-Augmented Generation (RAG) application for querying legal documents. It uses PostgreSQL, Elasticsearch, and LLM to provide summa

如影随形 · 本地优先桌面工作日志：富文本记录、语义检索、工作台总结/问答；模型自配，数据留在本机。 Local-first desktop work journal—rich logs, semantic search, AI summary & Q&A. BYO models