Havuz

Provena : Context governance for agentic AI — tamper-evident audit trails, provenance validation, EU AI Act compliance. 6 framework adapters

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

HR policy RAG assistant with LangChain LCEL, RunnableBranch, FAISS, FastAPI, and an OpenAI-compatible model API.

Deterministic, scripted, resumable multi-agent orchestration for LangChain deepagents — a community port of Claude Code's Dynamic Workflows.

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

The same AI agent pipeline built in Mastra and LangChain. Runs in parallel, measures everything.

A medical FAQ chatbot powered by Retrieval-Augmented Generation (RAG) using FastAPI, LangChain, Qdrant, and React.

Build and operate production-safe agents that run in your own environment.

Open-source guardrails for AI agents powered by decision models like Jev; checks prompts, retrieved content, tool calls and responses for pr

Final Price AI Agent combining evidence-grounded discount rules, Elasticsearch hybrid retrieval, and Decimal calculations with auditable ste

生产级 LangGraph + FastAPI AI Agent 框架，支持阿里云 Qwen / DashScope，含中文注释、长期记忆、向量检索完整链路。

Developed a Multi-Agent Research Assistant that coordinates specialized AI agents to search, analyze, summarize, and synthesize information

Fast, typed Python framework for Jev-as-a-Judge/Decision-model evaluation for LLMs, RAG, and AI agents along with human-label calibration.

多模型协作与智能辩论平台 — Multi-Agent 并行工作流 + RAG + 知识图谱，让多个 AI 像专家团队一样辩论、推理、共创

Let Claude run code on your real machine — safely — from any Claude chat. Bridges Claude Cowork to Claude Code on your Mac/Linux box. One co

中文公司调研 Agent

Production-shaped boilerplate for AI agent web apps: Rust/Axum API, Python LangChain + Celery workers, Vue 3 SPA. Hexagonal architecture, TD

Cloud IDE + autonomous AI coding agent - Kubernetes-powered instant dev sandboxes with LangChain ReAct agent that reads, writes & ships mult

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

Hybrid RAG over Indonesian legal documents (UU, PP, Perpres, court decisions) with local LLM via Ollama.

The open interoperability layer for AI agents. Connect your favorite agents and harnesses. Work together.

Runnable examples for AI agent identity & compliance — certificate issuance, scope enforcement, and integrations for LangChain, CrewAI, Next

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

FastAPI gateway for detecting and sanitizing PII before it reaches downstream systems. Built with LangGraph, Redis, and PostgreSQL.

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

Developed a Document Intelligence platform that automates document processing using OCR, NLP, and AI to extract, classify, and validate stru

迹录 Tracord —— 基于本地小模型多智能体的智能旅行规划助手 / AI travel planner with local SLM multi-agents — light up visited cities on a map, log expenses with one

Multimodal document QA: vision + retrieval over PDFs (LLaVA + LlamaIndex)

AgentInsight Python SDK provides a Python client for the AgentInsight platform, supporting LLM application observability, tracing, evaluatio

OpenSandbox sandbox backend for LangChain Deep Agents - run agent-generated code and file operations in an isolated OpenSandbox environment.

African AI governance — runtime compliance enforcement for AI agents operating under NDPA, CBN, NIMC Act 2026, KDPA, POPIA and 15+ African r

Built an AI-powered Resume Analyzer that evaluates resumes against job descriptions, extracts key skills and experience, provides ATS compat

Build a Agentic AI application using LangGraph, LangChain, FastAPI, Redis, and ElasticSearch. In this course, we create a multi-model AI age

Local-first memory for AI agents: one SQLite file, zero deps. Recency-aware exact recall, conflict detection, time-travel journal, MCP serve

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