Havuz

LLM-free, layout-aware PDF chunking for RAG pipelines. Preserves document structure via regex and font heuristics. Written in pure Rust.

Personal knowledge graph MCP server on Cloudflare D1 + Vectorize. Deploy your own sovereign second brain in one click — Claude captures atom

Benchmark and fix LLM hallucinations when extracting figures from SEC 10-K filings

Python + Terraform. Cloud-ready GraphRAG solution that uncovers distant connections across data and grows incrementally as new documents arr

Long-term memory for AI agents with no LLM call: an MCP server and Claude Code plugin, plus local-first context compression for LLM apps.

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

面向测试工程师的 AI 测试用例生成与管理平台，将需求结构化、RAG 知识增强、多 Agent 用例生成、质量评测、人工评审与测试执行串成一条可追溯、可恢复的生产链路。

Teach Data Engineers How to Think AI.

Turns an organization's internal docs into a living learning system: AI agents generate courses, tutor learners, and adapt content on the fl

⭐️ Self-hostable AI support for Discord, GitHub, Slack & Discourse communities. Answers from your knowledge source, checked by a second AI a

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

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

An external memory for LLMs: a bi-temporal knowledge graph with hybrid (keyword + vector) retrieval and a self-improving reflection loop. Be

X-ray for documents: lossless PDF & PPTX extraction to JSON with bounding boxes, fonts, and colors — CLI, HTTP API, and an in-browser playgr

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。

Local OCR, metadata automation and RAG document chat for Paperless-ngx using PaddleOCR and Ollama, designed for CPU-only self-hosted servers

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

Persistent RAG memory layer for AI agents - store observations, retrieve context by semantic similarity, self-prune on TTL

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

Open-source control plane for private, governed enterprise AI — one gateway for every model, composable governed pipelines, and apps your wh

Viglet Turing: open source enterprise search with generative AI. Faceted semantic search, RAG chat with citations and AI agents over your ow

Hearthstone gives babysitters and family instant answers to household questions, grounded in your Google Docs with cited sources; Bun backen

Offline-first AI memory for coding — 29 MCP tools, temporal knowledge graph, and local vector search. No API keys, no cloud, no server.

Web browsing superpowers for AI agents - one MCP server to scrape, crawl, extract, map, search, batch, research & monitor the web. Self-host

Local-first memory context for Pi coding agents.

企业微信智能客服 — 截图RPA + PaddleOCR + RAG，不依赖API，开箱即用

帮助每一个人快速上手vibe coding和agent的学习，体会vibe的乐趣。教程包含常见概念扫盲、dify、opencode、codex、trae的使用指南；还会手搓一个mini agent深入理解底层原理；最后还包含langchain和langraph框架的入门和学习教程

An self-hosted AI platform that talks to your customers for you: it answers in messengers, email and web chat, and hands your team only the

In-memory graph database and Gremlin traversal engine in Rust: browser playground, CLI, MCP server for AI agents, durable store, Python bind

Full-text financial reports (US, China, Japan, Korea, Taiwan) as clean Markdown — REST API + MCP server for LLMs, RAG and quant

A production-grade LLM System Design platform & interactive lab. Features a pure-Python LLM serving, RAG, routing, safety, and agent control

Installable DeepSeek Harness knowledge base plugin

Local knowledge base for AI agents (hermes plugin): hybrid search over your PDFs, DOCX, sites, YouTube and Obsidian; answers grounded strict

Long-term memory for LLM apps that shows its work: dated facts, as-of answers, supersession, and receipts on every answer. Library, CLI, loc

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

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

RAG knowledge-base chat app built on LangChain — FAISS vector search, FastAPI backend, Next.js WebUI, OpenAI/Gemini compatible

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

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

Claude Code skill implementing Karpathy's LLM-wiki pattern on a personal GitHub repo, with qmd for on-device hybrid search.

Open-source, Python-first RAG platform with FastAPI APIs, LangGraph-native agents, pluggable vector stores (Qdrant/Weaviate/Milvus/pgvector/

Athena RAG Intelligence – AI-powered document intelligence platform with RAG, semantic search, source citations, voice assistant, analytics,

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

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

Multi-agent AI/CS learning assistant: LangGraph routing, LightRAG graph RAG, three-layer memory, learning roadmaps. FastAPI + React.

Persistent memory & RAG engine for AI agents — SQLite + FTS5 + embeddings, multi-stage recall, sleep maintenance, multi-host hooks

A 100% local, privacy-first alternative to Windows Recall — captures your screen, OCRs it, and lets you semantically search and chat with yo

An AI teammate for Slack and Microsoft Teams that runs on open-weight models through any OpenAI-compatible endpoint. One Go binary with an a

Open-source control layer over PDF parsing that picks the right method, verifies output quality, and falls back automatically when results f

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