FoJin-powered Buddhist AI persona framework — source-grounded, boundary-aware, fidelity-tested, runtime-ready.
- Stars
- 472
- Star gain
- +8
- Growth score
- 0.0171
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FoJin-powered Buddhist AI persona framework — source-grounded, boundary-aware, fidelity-tested, runtime-ready.
"RAG-Anything: All-in-One RAG Framework"
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
📚 从零开始的向量数据库原理与实践教程,在线阅读地址:https://easy-vecdb.datawhale.cc/
ODS V3 Pre-Release: Public testing and refinement ahead of the official V3 launch. Turn your PC, Mac, or Linux box into a private AI server.
A Fork of Rikkahub with an overhauled UI and feature additions
Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java
企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景,从 0 到 1 完整工程实现。
🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Unified Agentic AI and Data Platform
中文优先的企业 RAG 知识库:可控解析、治理、切块、混合检索、重排、引用、图谱、评测与 Dify 接入。
本教程将全面指导你如何快速搭建自己的AI应用环境,从Docker桌面版的安装与配置开始,到本地部署Dify并自定义AI助手功能,让你轻松实现“猜病例”、“甜蜜哄人”、“新生入学指南”、“小红书读书卡片”与“面试宝典”等多种特色AI应用。并教会你从基础智能体到使用工作流,再到知识库、DeepResearch、数据库、MCP、复杂任务编排等高阶任务,由浅到深的学习掌握基于dify的大模型应用开发。
基于 SpringAI 的 Agent 开发项目:一个面向“组织知识库 + AI 助手”的 RAG Agent实战项目,把权限隔离、文档入库、混合检索、证据约束、Agent 工具调用和 Docker 部署串成了一条完整工程链路。如果你正在找一个能写进简历、能讲清架构、能覆盖 SpringAI / SpringAIAlibaba学习、技术点的项目,DD_Rag 值得 Star。
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
开箱即用的AI标书编写工具,标书AI生成工具,投标工具箱、知识库、标书查重、废标项检查,完全开源免费,欢迎使用
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享 OpenClaw 保姆级教程、大模型玩法(DeepSeek / GPT / Gemini / Claude / GLM)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(Agent Skills / RAG / MCP / A2A)、AI 编程教程(Harness Engineering)、AI 工具用法(Cursor / Claude Code / TRAE / Codex / Copilot)、AI 开发框架教程(Spring AI / LangChain)、AI 产品变现指南,帮你快速掌握 AI 技术,走在时代前沿。本项目为开源文档 aiguide,已升级为鱼皮 AI 导航网站
OpenCode plugin that gives coding agents persistent memory using local vector database
Momentum Score compares the latest star count with a baseline for the selected window: ln((current stars + 1) / (baseline stars + 1)). Rankings include repositories with positive star gain.
Seven-day and thirty-day history may use estimates reconstructed from GitHub star creation history; estimated values are labeled. The twenty-four-hour ranking uses measured snapshots only.