AI Infra agents

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

Top Knowledge Management AI (Opensource) 🌟 Star if you like it! 🌟

Lightweight local memory for agents — every dedup, update, and rerank decision inspectable and tunable. 3 dedup detectors × 4 update resolvers × 3 rerank modes · 60+ parameters · 6 prompts replaceable

A reproducible, evaluated, secured, observable, and deployable Agentic Retrieval-Augmented Generation (RAG) platform for continuously changing organizational knowledge.

Autonomous AI agent to discover, score, and match job opportunities based on your profile and skills.

My personal pi agent config and extensions

Autonomous multi-agent orchestration engine implementing the blackboard architectural pattern in Python & Redis.

Hierarchical Multi-Agent Framework (LangGraph, CrewAI) with 5-tier memory & Redis semantic caching cutting token costs up to 80%

Robinson's first-order term unification algorithm with occurs-check for automated theorem proving, Prolog engines, and type inference.

Exact Variable Elimination inference engine for discrete Bayesian Networks computing conditional posteriors and marginal probability distributions.

Hindley-Milner Algorithm W type inference engine implementing Robinson first-order syntactic unification and principal polymorphic type reconstruction.

Multi-Version Concurrency Control (MVCC) engine guaranteeing non-blocking repeatable reads, snapshot isolation, and version chain garbage collection.

Polynomial and Vector Commitment simulation framework proving evaluation correctness f(z)=y without revealing the entire vector payload.

An Roleplay AI client run directly inside Cloudflare Worker that support multiple feature, polished from backend to frontend.

基于多模态大模型与知识检索的桥梁智能建模平台。只需要提供桥梁图纸，就能自动调用大模型进行识图、建模、分析作业，并将详细信息展示在工作台账本中，且工作台支持工程项目的多用户协同。项目除识图-建模-分析工作链路外，还搭载了RAG知识库管理、人员权限控制、项目信息问询回答等多种功能~

LlamaIndex reranker + router powered by TypeSafe Jev - typed scores/choices, cheaper than LLM-as-judge.

Local autonomous AI. 19k+ Python lines. Just values. Proactive Shell/CDP agency. NO FRAMEWORK/CRONJOB/BEHAVIORAL PROMPT. Autonomy grows where allowed.

Agentic AI refers to AI systems capable of autonomous decision-making, planning, and executing tasks based on goals—acting like intelligent agents. These systems combine LLMs with tools, memory, and feedback loops to complete complex workflows with minimal human input.

A statically typed framework for working with LLMs

pyWhat LLM version | Answer "What is it?" on the command line with the power of large language models

An agent-optimization framework ✨

Multi-agent AI orchestration platform — coordinate, observe, and govern autonomous agents

✅ 의료 데이터를 활용한 챗봇과 다양한 파이프라인을 제작합니다.

Engage in dynamic conversations with PDFs to extract and comprehend information using locally hosted LLM variants of Ollama by integrating RAG.

Run Superagent Workflows from Slack

It shows how to use an agent based on LangGraph with MCP.

Self-hosted Java/Spring Boot AI agent framework with FSM-based ReAct loop, extensible modules, Telegram assistant for personal/group chats, REST/Web UI, OpenRouter/Ollama, and Spring Boot starter.

MCP server providing long-term memory for AI agents — knowledge graph with Qwen3 embeddings, continuous learning, and knowledge evolution

AI agentic setup. Backend-agnostic, RAG, tooling

A YAML-config-driven CLI tool for evaluating AI agents

Collection of generative AI projects & applications including: multiple LLMs, AI agents, RAG

🧠 Graph-powered memory for AI agents. NER + co-occurrence graph + Personalized PageRank. Zero LLM cost, CPU-only, 82% faster than vector search. Inspired by SPRIG (arXiv 2602.23372).

GPS for your LLMs

A framework for building AI agents in Java. Simplify your agent creations with canned workflows and state management.

A high-performance, native C# implementation of the Universal Tool Calling Protocol - enabling AI agents to discover and communicate directly with tools without wrappers or middleware.

Portable persistence for AI agent memory, using git.

Using LLM agents to generate story books for language learners

A conversational AI agent for hassle-free restaurant table reservations on WhatsApp

Agent development tool-kit

This is a repository for the Crew AI agents with full stack development using JS(Basic).

Playing with SetFit approach for few-shot transfer for text classification

Master GitHub with a Qwen AI app built on LangChain, Hugging Face & FAISS.

AI agents, trained by the minds that move the world.

A vectorize-and-search application built on top of LangChain, Qdrant, and large & small language model pipelines!

Cost-aware model routing for LangChain agents. Routes execution turns to a fast model, keeps the expensive model for planning and recovery.

Preventive context management for LangChain agents. Collapses consecutive tool-call groups before they fill the context window.

YouTube - Too Long; Didn't Watch

Rizz glasses (CarletonU Hackathon)

The method of re-ranking involves a two-stage retrieval system, with re-rankers playing a crucial role in evaluating the relevance of each document to the query. RAG systems can be optimized to mitigate hallucinations and ensure dependable search outcomes by selecting the optimal reranking model.

Building a semantic search engine using LangChain and OpenAI

Ailixir is an application that utilises LLMs and custom user input to generate AI agent prototypes specialised in fields such as health, economics, physics etc. The prototypes enable the user, which is an entrepreneur-developer, to compare the results produced by different LLMs.

Interactive Book Recommendation System using RAG and RecSys

A temporary/working memory system that assists REMO in handling LLM memories

Driving Dynamic Multi-Participant Chat Interactions for AI and Human Discourse 🤖

A RAG pipeline that doesn't trust its own answers. 4 AI agents collaborate to route queries, retrieve docs, synthesize answers, and catch hallucinations automatically.

LM Studio에서 실행하는 로컬서버의 LLM과 임베딩을 이용하여 RAG 웹 챗봇 만들기

Domain-agnostic agent orchestration platform. Django + HTMX dashboard, containerized specialist agents, natural language scheduling, multi-provider LLM support.

A german workshop where you learn how to build RAGs with Langchain

AI Generated text adventure RPG with fully configurable mechanics

Thalia🍃 currently not developing any more.

Creating RAG from Scratch . Creating RAG using the langchain. Creating RAG using llama indexing and Qdrant db

Unlock the potential of AI-driven solutions and delve into the world of Large Language Models. Explore cutting-edge concepts, real-world applications, and best practices to build powerful systems with these state-of-the-art models.

This talk was about how to build intelligent chatbot using OpenAI, Langchain, and Firebase.

Ai driven - command line tool to perform goal-based web searches

llm_adaptive_router: Given the following query and candidate models, selects the most appropriate model

从零开始构建您的AI模型应用

AI-powered conversational agent for barber shops using RAG, Prompt Engineering, and LLMs. Automates WhatsApp support 24/7

Your AI workflow in desktop ,free to use. visual workflow studio ! demo : zyinfo.pro/gzl

A practical guide to getting started with local 🤖 Large Language Models using Python, Ollama, & Streamlit. Includes basic chatbot setup, RAG-enabled PDF querying, & vectorstore visualization. Ideal for experimenting with LLMs on your own machine—no cloud req. 🦙

🧠 Your Private AI Companion; Open-Source, Secure and Intuitive.

Mental Model for better understanding LLM/Agent space

A demo project to build a Google Cloud Certifications Chatbot using Langchain, Google Cloud AI Platform, and Vertex AI.

Generate production-ready multi-agent AI projects from plain English. Supports CrewAI, LangGraph, WatsonX Orchestrate, CrewAI Flow, and ReAct with built-in sandbox verification, OllaBridge/Ollama inference, and enterprise wizard UI.

auto-generate 业务代码脚手架

Novelist agent by autogen

A multi-human, multi-agent LiveView component for autogen

ResuMate: AI-powered resume screening app using Streamlit, OpenAI, and LlamaIndex. Automate candidate evaluation and boost hiring efficiency.

Turn PDF into Notes in seconds📝

Techniques and workflows for building an LLM-powered RAG application using LlamaIndex.

General-purpose, multi-agent framework for automating tasks using AI agents composed in teams for conversation-based collaboration.

Declarative Agentic Orchestration Framework

A template for development with the open-autonomy framework.

ReAct Agent Builder framework from Delegasi

A CLI Template/Framework for creating AI Command line Agents in C

Agentic Framework examples for SAP Gen AI Hub via LiteLLM

A Next.js chatbot that uses Large Language Models (LLMs) and an MCP server to generate dynamic, structured UI templates from user requests, instantly creating dashboards, tables, charts, cards, and more.

Evaluating emerging Agentic AI frameworks

A lightweight and flexible JavaScript library for creating and managing workflows and agents.

Labs for agentic AI — covering Azure AI Foundry, Foundry Agent Service, Microsoft Agent Framework, AI Agents, RAG, Azure AI Search, and Azure Container Apps(ACA)

Podcast Summarizer Agent will have LLMs, RAGs, MongoDB, Chatbot, Flutter Mobile app

An AI agent that performs a RAG workflow implemented with the Akka SDK.

Helm Charts for installing reShapr components on Kubernetes

a groundbreaking multi-layered cognitive architecture for artificial intelligence (AI) that integrates several advanced concepts to create a unified framework for self-optimizing intelligence.

A completely front-end driven AI agent project, requiring no server resources.

Project template that is pre-configured to work with agentic Github workflows called "Smart Workflows"

Exoclaw agents on Temporal — durable AI agent execution

When your complex requests confuse AI This tool transforms vague, multi-goal prompts (e.g., "create a study plan that balances learning, exercise, and hobbies") into unambiguous "action charters" for AI. It detects conflicting objectives in your instructions, clarifies priorities, and ensures AI outputs stay locked on your true intent.

AI-powered assistant that listens to your calls and provides intelligent, knowledge-based answers — completely invisible to screen sharing.