Havuz

OnDevice Local AI Studio — run LLMs on iPhone offline. SwiftUI workbench with MLX, llama.cpp, whisper.cpp, RAG, and authenticated OpenAI/Ant

AI 面试助手: 素材整理 / 全程记录 / 自动复盘 / 模拟练习。让每一场面试都变成下一场的准备。

Local-first macOS AI workspace. Notch-native, 8 providers, your coding agents and their subagents in one place. ⌥Space anywhere.

A multimodal RAG dashboard and interactive 3D Knowledge Graph. Process documents locally with Ollama or via Cloud APIs, powered by LightRAG,

Memory for AI agents that never leaves your device. Local-first, end-to-end-encrypted, zero-telemetry memory engine (Rust, MCP) — gives Clau

Evidence-first multi-agent debate skill: get a second opinion by pitting Codex × Claude Code (or GLM/DeepSeek/Qwen) to independently review,

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

Fully local AI assistant that watches your screen to eliminate the context problem. No cloud. No data leakage.

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

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

Embedded long-term memory database for AI agents & LLM apps. Six-layer cognitive architecture, knowledge graph, hybrid BM25 + vector search,

A comprehensive Android staff management application featuring role-based access control (RBAC), real-time chat, and a RAG-based AI assistan

RAGless is a semantic retrieval system that answers questions about your documentation, without using an LLM at runtime.

Local MCP server that helps coding agents stop re-reading the same code every turn. Repository intelligence, cache-write optimization, and l

Evidence-grounded evaluation for AI agents — verifies each claim against the agent's real tool outputs (constrained, evidence-grounded model

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

Launchpad for deploying real-time, knowledge-aware AI agents on Telegram.

A structured knowledge base for large language model technologies, covering LLMs, Agents, RAG, model training, evaluation methodologies, and

Your coding agent starts every session with amnesia — memo fixes that, 100% on your machine. Persistent memory for Claude Code, Codex, Curso

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

One embedding space for text, image, video, audio, thermal, motion, and touch. Open weights, self-hostable.

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

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

Python RAG-based chatbot for document Q&A using retrieval-augmented generation

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

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

Enterprise-grade sovereign AI for organizations where SaaS AI isn’t an option.

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

Local-first AI project OS that turns coding models into reliable software agents with memory, sandboxed execution, verification, recovery, G

AStock AI Copilot V2 — 真正理解A股市场行为逻辑的AI认知系统。AI分析/主力行为/情绪周期/龙头识别/板块轮动，无需API Key即可运行。

UniSearch 是一款基于 AI 的多平台公开内容采集与调研桌面工具。 通过自然语言描述调研目标，由 AI 自动规划任务流程，并发调度底层连接器进行公开数据采集与清洗。

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

Local-first memory engine for AI agents

Local-first evaluation framework for RAG systems and AI Agents. 18+ metrics, CLI + SDK, framework-agnostic. The pytest of AI evaluation.

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

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

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

crawl4ai for video & audio — turn any YouTube video, podcast, or recording into clean timestamped markdown, or a verified TTS/STT training d

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

Privacy-first, local-first research notebook for macOS & Windows — chat with your own PDFs, Office docs & web pages and get cited answers, a

CLI advisor for ClickHouse query optimization. Formally verified rewrite rules + RAG + MCP server.

🤖 Bony Agent — Full-stack AI content production & distribution platform. One person can run an entire team: AI chat · image/video/music gene

🎮 An AI workflow editing framework focused on business customization. 专注于业务自定义的 AI 工作流编排框架，支持 LLM 调用、知识库检索、记忆读写、API 编排等场景。⚡ Vue 3 一行接入

Open-source multi-tenant AI agent workspace · 18 personas · 146 active capabilities · 888 platform indexes · 91 curated AI models + 1000+ Op

QQLore 是一个面向IM聊天记录的本地智能分析与检索系统，基于 TypeScript / Node.js 构建，覆盖聊天记录读取与增量同步、消息清洗、上下文重建、语义向量化、RAG 检索、Agent 问答和周期性摘要等完整链路。系统支持多群组管理、兴趣度分析与 WebUI 可

OpenClaw-compatible MASL safety gate with public RAG packs for memory-aware AI agents

An assistant that remembers every paper you've ever read — running entirely on your device, with your data never leaving it.