Havuz

RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB,

Agentic event-venue operator demo built on MongoDB Atlas. Showcases three-layer memory (long-term, short-term, shared), hybrid retrieval wit

面向个人与 B 端销售的本地客户军师、成交教练与混合 RAG 决策助手

EduAgent: Open-Source RAG AI Tutor for K-9 Education. 国内首个专为1-9年级量身定制的开源 RAG AI 教辅智能体

Chinese AI learning notes and a minimal RAG demo with Sentence-Transformers, BM25, OpenAI-compatible APIs, and retrieval evaluation.

Open-source AI-era employment platform connecting skills, jobs, enterprises, governance, and AI agents.

从 Java 开发者到 AI Agent 工程师的 30 天实战之路 | Spring Boot + Spring AI + MCP + Multi-Agent

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw

考研管综199历年真题题库(2009–2026)：57题/年·试卷+答案解析·结构化Markdown·附RAG切分库

Andrej Karpathy's LLM Wiki pattern as a skill & Claude Code plugin — turn accumulated sources into a self-maintaining, scalable markdown kno

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini

Meeting recorder for your Mac with a live AI assistant. On-device transcription, answers from your own docs mid-call. Local-first and open s

EchoMemory, konuşmaları cihazda yazıya döküp aranabilir belleğe kaydeden ve bu kayıtlar hakkında yerel bir RAG chatbot ile soru sormayı sağlayan bir uygulamadır.

Neden yükseliyor · 11 günde 68 yıldız ve son 28 günde 16 commit ile erken ilgi ve geliştirme hareketliliği var; ancak yalnızca 2 farklı yazar görülüyor. Yerel AI, gizlilik ve konuşma belleğini tek bir kullanıma hazır uygulamada birleştirmesi ilgi çekici olabilir; yıldız sayısı benimseme veya kalite kanıtı değil.

Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud,

Add AI agents to your .NET app: your methods become tools with role checks and human confirmation. Use the ready-made chat widget in Blazor

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre a

AI 驱动的电商全流程自动化系统。选品、上架、客服、运营分析、货源筛选，基于 DeepSeek V4 + Ollama 混合模型路由，自驱型 ReAct Agent 框架

248 small Jev decisions for JavaScript and TypeScript: route, rerank, gate, grade, compare, and label text for agents, RAG, support, code re

Self-hosted semantic memory for AI agents, served over MCP. Persistent sessions, experience scoring, a graveyard for dead ends and skills co

Self-hosted RAG platform for AI document search across GitHub, Notion, Google Drive, local files, and web sources with citations.

SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

Build RAG evaluation testsets from documents and benchmark RAG systems.

Cognee Rust - fast and performant AI memory engine

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offli

Local long-term memory for AI coding agents. Keeps every conversation word for word, costs nothing to save, and is shared by all your agents

Private AI that works with your files.

A 21-day hands-on journey to mastering AI for DevOps — covering LLMs, GenAI, CI/CD, Kubernetes, cloud, automation, and AI-powered DevOps pro

Asking for What Was Never Requested: horizontal and vertical proactivity in LLM agents. Need-graph metrics (no LLM judge) and Q&D, which tra

Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, t

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

Turn a production incident into a structured 9-section LLM response (severity, root cause, mitigation, postmortem). Ships with a 5-scenario

Local-first Agent RL workbench for Search-R1 rollouts, reward evaluation, GRPO/verl training-data handoff, and an auxiliary private RAG work

A modular local AI agent built with Python and Ollama, featuring tool calling, memory, web search, document processing, embeddings, and RAG.

Microsoft Foundry Local - Workshop - Build AI apps locally with Foundry Local - RAG, agents, and multi-agent workflows in Python, JS, and C#

🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph

Shared memory + orchestration for your coding agents — one MCP server, persistent vector memory, agent registry

Skill to generate the knowledge vault for projects using the Ralph loop

📚🔭 Your personal research radar — an LLM-powered tool that auto-aggregates the latest papers for your keywords across arXiv / Crossref / Sem

Mako — AI Career Intelligence System

Enterprise RAG ecosystem managing 32000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB

A lightweight CLI tool for RAG over local documents

Repo Explainer — turn any GitHub repo into a visual explainer page. Pipeline + 5 live examples.

Official Findings of EMNLP 2026 implementation of Corpus2Skill: compile a document corpus into a navigable skill hierarchy that LLM agents e

Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque database

基于 Spring AI 2.0 的生产级 ERP 智能助手｜Production-ready ERP AI assistant with RAG, Tool Calling, chat memory, dynamic SQL tools, multi-tenancy and E

Fully local AI companion with Long-Term Memory RAG, branch-isolated worldlines, Live2D/VRM 3D avatars, and real-time TTS for consumer GPUs (

Local-first MCP memory server for AI agents. Zero dependencies, SQLite on your own disk, 52 MCP tools with Mem0-compatible names. MIT.

Source-grounded MCP memory runtime and Obsidian-compatible vault template for LLM agents.

Machining process planning for motor shafts - input shaft geometry, RAG-grounded operations, machine tools, cutting tools, heat treatment, e

Meridian AI for learners: multi-agent procurement audit and RAG document Q&A (FastAPI, LangChain, Gemini, Vertex AI, Cloud Run). Code, READM