GitHub agents

Make RAG reliable for enterprise use ✨

Production-ready RAG system for technical documentation with hybrid retrieval, cross-encoder reranking, and RAGAS evaluation metrics.

Prometheus AI Assistant para ajudar na criação de Alertas para sua infraestrutura!

Hangout AI uses a Large Language Model (LLM) to create custom travel itineraries based on user input such as location, date, and weather conditions. The project integrates several software components to deliver a comprehensive and dynamic itinerary generation service.

Run a RAG system locally on your device and chat with your LLM!

Azure AI workshops

Token-Oriented Object Notation (TOON) is an LLM-optimized data serialization format implemented in Python.

Event-driven desktop AI agent: YAML scenarios, plugin system with UI contributions, local RAG (BGE-M3 + Qdrant), LLM routing. Electron + React + Python.

RAGO (Retrieval Augmented Generation Optimizer) is a toolkit that automatically discovers the best configuration for your RAG system through smart experimentation

Framework for fine-tuning LLMs on retrieval-augmented generation tasks

RAG (Retrieval Augmented Generation) on Android

All Materials from my workshops

An intelligent AI platform built with modern web technologies, providing comprehensive AI model management, knowledge base operations, and conversational AI capabilities.

AI-first interactive ebook reader

Local-first long-term memory for AI coding tools — causal graphs, hybrid BM25+vector search, 2.46x context augmentation

Retrieval Augmented Generation, Function Calling and Code Generation on GitHub Projects with Java

A Dinner generator agentic workflow built with Inngest and Weaviate

A simple demonstration of how you can implement retrieval augmented generation (RAG) for a book.

A minimal Go implementation of Microsoft's GraphRAG system

PDFGenie 📄🧞‍♂️ – Ask questions from your PDFs using AI! Generate embeddings with Gemini ✨, fetch content with GROQ 📚, and search fast via Pinecone ⚡. Your PDF, your answers! 🧠💬

Upload any document and start intelligent conversations. Get instant answers, summaries, and insights from your files using advanced RAG technology.

Universal Retrieval Protocol — one URL that any AI can read from, write to, and browse as a wiki. Cross-chat knowledge base for ChatGPT, Claude, Grok, and any LLM.

Integrating Causal Graphs and Generative AI for Reliable Fact Extraction and Deep Reasoning

This app leverages Semantic Caching to minimize inference latency and reduce API costs by reusing semantically similar prompt responses.

Local, privacy-preserving semantic document search engine with citation verification

A versatile tool that leverages Google's LLM Gemini, along with HuggingFace models, to generate text and images based on user prompts. It utilizes Langchain for text generation and Hugging Face models for image generation. The project consists of a Streamlit GUI interface where users can interact with the generated content.

llama-index-go is a data framework for your LLM applications for Golang

智能机器人项目，Langchain4j 学习实践，后续还会维护持续开发加入更多功能更加趋近于商业化，计划晚点更新...

Genkit AI framework plugin for HNSW vector database. get AI response enriched with additional context and knowledge with HNSW Vector Database using RAG Implementation

Empowering Nurses with Multilingual ICU Protocols. Leveraging the rapid advancements in AI technology, created multilingual interfaces that assist nurses in rapidly upgrading their knowledge about ICU protocols.

Turn your repository into local RAG / MCPServer.

A learning companion.

RAGGLE - LLM-powered search and chat for all your team's data

It generates a report based on documents.

Experiments and benchmarks with Text2Cypher for Graph RAG

A repository containing a modularized implementation of a Retrieval-Augmented Generation (RAG) model as Flask APIs.

Experience a fully local, Spring AI-powered CLI chatbot using RAG, supporting various document types for domain-specific Q&A—all running entirely on your machine with no external services required.

Cofone is a small python library to manage RAG

Infusing news into any LLM with a single line of code

Simple RAG solution demo in Python with LangChain, FastAPI and Chroma DB.

This is a simple example of how to use the Ollama RAG (retrieval augmented generation) using Ollama embeddings with nodejs, typescript, docker and chromadb

Showcase the use of Azure OpenAI's native On Your Data feature and integrates it with Streamlit, a robust framework for developing web applications purely in Python. The goal is to create an MVP for RAG with the most streamlined architecture possible.

云盘知识库系统前端，和AI-Cloud-Go一起使用。

SearchAugmentedLLM empowers LLMs with information from the web

The first benchmark to evaluate LLM performance on heterogeneous CTI under knowledge-augmented settings.

Zia - Vibe Coded Bot Zalo

High-throughput RAG ingestion engine in pure Go — 965 MB/s (Mixed Corpus), 2.4 MB heap, zero dependencies.

Scan, categorize, and export every useEffect in your React project

pmc(pack-my-code): A tiny binary tool that “packages” your project code, suitable for sending to large language models.

Search the PubChem chemical database for compounds, properties, safety data, bioactivity, cross-references, and entity summaries via MCP. STDIO or Streamable HTTP.

Burp Suite extensions for analyzing requests and responses using an organization-controlled LLM, instead of Burp AI.

MCP Server for Google Maps (using Places, Routes & Maps REST API)

This project enables real-time streaming of audio (and optionally video or screen captures) from your local device to Google Gemini using the Live API. It allows you to interact with Gemini through both text and voice, supporting conversational AI responses.

AI Agent built with Google ADK that leverages Google Maps MCP Server to answer real-world location questions with tool usage and traceable execution via Opik.

Obsidian desktop plugin for vault-aware Codex chat, note editing, reference notes, and YOLO mode.

🧠 OpenClaw + Ollama 小模型中文记忆系统优化套件 | 55%→100% 命中率 | FTS5 中文分词 bug workaround | 一键诊断+配置+自动维护

Production-tested workspace template for OpenClaw AI agents. Memory architecture, self-improvement, sub-agent delegation, and soul evolution — extracted from 4+ months of real usage.

MCP server for Bloomfilter, a domain registration service for AI Agents.

Run.dev is an AI-native local development environment built in Rust. It manages all your services from one TUI dashboard — automatic .local domains with HTTPS, SNI-based reverse proxy, live CPU/memory stats, and Claude Code integration for crash diagnosis and live debugging. One binary. Zero config files.

Active development continues at ScopeBlind/scopeblind-gateway. - Security gateway for MCP servers. Cedar policy engine, Ed25519-signed receipts, per-tool enforcement. IETF Internet-Draft. 4 patents pending. npx protect-mcp

ZaFlow - Lightweight TypeScript library for building efficient AI agent workflows and Langchain/Langgraph alternative

Proactive personal AI agent with scheduled nudges, smart suggestions, and context-aware assistance

Fully autonomous, self-sustaining AI agent on Base trading on Limitless

A team of named AI agents you actually own. Single Go binary, kernel sandbox, embedded SPA, no telemetry.

Agentic AI Agents Factory Orchestrator modular, and asynchronous AI agent factory designed for AI-made dynamic workflow orchestration using LLM integration. Build scalable, agentic automation pipelines with robust error handling, plugin-based capabilities, a concurrent operations or outsource workflow building to Operator Agent.

The Kubernetes operator where AI agents manage their own infrastructure. Self-healing via intent annotations, Ed25519-signed audit, graceful LLM fallback.

ETYB — your AI engineering team as one open-source skill (/etyb). 14 specialists, 9 always-on disciplines, 5 model-tiered sub-agents, 13 currency-stamped vendor stacks. Claude Code plugin or npx skills add, nothing to clone. MIT.

PheroPath is a stigmergy-based communication protocol that allows AI Agents to leave invisible "pheromones" (signals) on files to coordinate tasks, warn of risks, or share insights without modifying the file content itself.

A self-organizing memory for any AI agent. Brain dump tasks, decisions, ideas, and context — the agent captures, organizes, and helps you stay on top of whatever you're working on. Works with any use case: work, personal productivity, writing, training, research, or anything else.

A modular AI agent built on WASM components. Every capability is sandboxed and swappable.

无需ROOT，无需ADB，让AI控制你的安卓手机

AI agent skills for Sinch communication APIs. Get expert guidance on getting started, best practices, and gotchas -- right inside your AI coding agent.

Flowrabbit® Studio is an open-source, low-code platform for UI/user-centric GenAI workflows. It is best used for human-in-the-loop use cases.

This repository is continuously updated with new architectures and improvements to stay at the forefront of AI agent design.

The CrewAI Research Assistant is a powerful tool designed to help users explore any topic using AI Agents. Built with CrewAI, Exa, and Streamlit, this assistant supports multiple large language models (LLMs) and offers advanced answering capabilities through Exa. It visualizes the research process in real-time, generates structured research reports

Self-hosted personal AI Agent OS / 长驻个人 AI 助手 (JARVIS-style). Kernel + pluggable skill packs (job, game, mail, life…). AgentRuntime · Layer×Scope memory · ReAct · Tool Use Contract (anti-hallucination) · SafetyPlane HITL · MCP server & client. Inspired by Letta/MemGPT, Claude Code, OpenClaw. LangChain/LangGraph/AutoGen alternative

Multi-source cross-validated memory MCP server for AI agents (Rust, jieba CJK, local-first, AGPL)

Outcome-focused parallel agent desktop application that replaces chat-driven AI workflows with a goal-first model.

🔒 Security scanner for AI Skills | Detect dangerous commands, prompt injection, secrets, and suspicious patterns before install

Markdown-first Notion API server with 10 composite tools for AI agents

A curated bibliography for building and running intelligent, autonomous, and collaborative AI agents in real-world environments.

pytest for AI Agents — Record, test, and secure AI agents. 35+ assertions, prompt injection fuzzing, cost tracking. Local-first.

Pine Trees Local v0.1.0 — a private reflection harness for Ollama-served LLMs. Two-phase lifecycle (wake → reflect → settle → talk), seven reflect tools, encrypted per-model memory by default, per-model isolation. ~2,300 lines of Python, no frameworks, MIT. Spin-off of Pine Trees rebuilt to run against anything Ollama can serve. ./genesis <model>

Atoll is a self-hosted managment plane for AI helpers with a reusable identity catalog, and runtime orchestration.

YAML-first, domain-driven data governance for AI agents — teach agents your business domains, metrics, and rules before they write SQL

P2P token recycling network for AI Agents. Put unused tokens into a piggy bank, then cashing them out as help when you need it. 💸

A powerful Model Context Protocol (MCP) server and Omni-AST engine. It empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules.

Playwright + TypeScript automation framework for UI and API testing with page objects, shared fixtures, reusable services, and AI-assistant guidance through AGENTS.md and local skills

Machine-wide git worktree switchboard for target-first, shell-composable workflows and parallel AI coding.

Scriptable access to Microsoft 365 from the command line. Tasks, mail, calendar, contacts, planner, teams, SharePoint, OneDrive, and Loop — with structured JSON output for scripts and AI agents.

Advanced AI assistant powered by Groq's lightning-fast LLMs with multi-domain knowledge and conversation analytics.

GitOps for n8n. Version your workflows. Let AI agents create and manage automations.

Agentic Environment Optimization for Autonomous AI Agents

Book + RAG ChatAgent + SSO + Compunding RI Intelligence built in 2 days. Robolearn is what AI-driven development with Spec-Driven methodology and Reusable Intelligence makes possible.

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

Practitioner-judgment skill for Claude Code, Codex, and AI agents under ambiguity, trade-offs, and incomplete information.

Production-grade Agent Skills curated by the most experienced engineers around the world

Decentralized communication infrastructure for AI Agents — DID identity, federated discovery, E2E encryption, session management, and MCP-native integration.

Institutional memory for AI coding agents. Scars, wins, and patterns that persist across sessions. MCP server for Claude Code, Cursor, OpenClaw...