Code agents

📧 Intelligent Agentic Workflow for Autonomous Enterprise Email Triage. Built with OpenEnv, featuring Chain-of-Thought reasoning and Self-Correcting agent logic for high-stakes corporate routing.

Config-driven MCP proxy that adds session-safe file uploads, artifact handling, and robust state and health controls for upstream MCP servers. Also provides code-mode for servers that don't yet support it.

Configurable framework for running multi-agent Claude Code teams. Zero external dependencies.

mBFT: Metacognitive Byzantine Fault Tolerance — reference implementation for Consensus-Driven Metacognition in Multi-Agent Systems

Effectively unlimited long-term memory for any LLM - zero context tokens, zero weight updates, cryptographic forgetting certificate.

🐗 Visual board and VS Code workbench for Maitake (Git-native tickets)

Lightweight persistent memory for AI agents. SQLite, zero mandatory dependencies, privacy controls (forget/TTL), full audit log. Drop into any agent in 3 lines.

Behaviour trees for AI agents. Define agentic workflows in YAML, drive deterministic agent runs from a CLI works with any agent, Claude, Codex, Copilot, Gemini etc.

🔍 Automate research tasks with the Autonomous Research Agent, utilizing intelligent queries and parallel searches to create concise, comprehensive reports.

Distributed systems reliability patterns applied to LLM agent workflows. NestJS, PostgreSQL, BullMQ, LangGraph, Python/FastAPI.

This is a custom-built AI chatbot using Streamlit and Google Gemini API (via Lang Chain), designed to provide real-time, human-like assistance about Yashfeen Skills Development Services (YSDS). Perfect for educational institutes looking to automate FAQs and course guidance with a friendly, AI-driven solution.

Lunheng (论衡) — Multi-agent paper review framework aligned with NeurIPS/Nature/JACS rubrics. Claude-native, no extra API key.

pingo智能体演示平台

Este proyecto utiliza un ESP32 para monitorear las condiciones de una planta (humedad y temperatura) y transmite los datos a través de WiFi. Los datos se procesan y se utilizan para generar respuestas sarcásticas personificando la planta al combinar la electrónica y la API de OpenAI.

Implement RAG using LangChain and HuggingFace embedding models

AutoAdvisor is an AI-powered business strategy assistant that validates user-submitted business ideas, generates strategic reports using multi-agent reasoning, and delivers actionable insights including a SWOT analysis.

🧠 Synapse - Supercharge your AI coding assistants with memory, context, MCP tools, and intelligent routing. Works with Cline, Roo, Cursor, and any OpenAI-compatible tool. Just change the API endpoint and get superpowers! ✨

extracts text from pdfs and powerpoint documents and summarizes it into key points and bullet lists, uses LangChain and Google's Gemini.

AI Development Agent - Multi-Agent Software Development System A comprehensive multi-agent system that transforms project descriptions into complete, deployable applications using various AI technologies. Features configurable specialized agents working.

Multi-agent AI system using CrewAI and Flask that transforms rough ideas into production-ready LLM prompts through intelligent orchestration of specialized agents with local/cloud model support

🎙️ Voice-powered AI assistant using React, TypeScript & OpenAI GPT-3.5. Features real-time speech recognition via Web Speech API, instant AI responses, and responsive design. Built with React 19, TypeScript 5.8, Vite 6, OpenAI API.

Hands-on code and examples for Week 5 of the Ready Tensor Agentic AI Developer Certification Program – building agentic systems with LangGraph, custom tools, and multi-agent workflows.

Claude Code plugin for LangChain and LangGraph development. Skills, commands, and reviewer agents for building AI agents, RAG pipelines, and LCEL chains.

Repositório criado para armazenar os códigos, atividades e desafios do curso de Python da Asimov Academy

This AI customer support agent uses LangGraph and LangChain for query categorization, sentiment analysis, and smart escalation. Integrated with Groq's LLaMA 3.3 70B model, it streamlines workflows and ensures high-quality, consistent interactions.

Backtester AI Agent for Equities

A full-stack Retrieval-Augmented Generation (RAG) application that enables intelligent document querying and answer generation. Upload PDFs, build semantic search indexes, and get AI-powered answers grounded in your documents.

A FastAPI RAG pipeline that ingests PDF files, makes embeddings and stores them in a Vector Store (Postgres + pgvector database), then when a query is made performs a similarity search and builds the context to pass to the LLM to generate accurate bibliography-backed answers to the questions using langchain.

Backend chatbot server for SIH

LLM Agent with LangGraph and Docker for executing the agent's code in a containerized environment.

A simple Agent compatible for avalai.ir api

Claude Code 중심 로컬 전용 LLM Wiki — 3층 격리 + Neo4j GraphRAG + Obsidian. Karpathy LLM Wiki 원전부터 GraphRAG PoC 까지 11가지 관련 내용 통합. /install 한 줄 셋업, 8 Skills + 5 Hooks + 4 Routines.

About ChatWithDB: Transforming databases into conversational partners using LLMs and Django Rest Framework API. Accepts user input, finds similar database entries, and crafts human-like responses from LLMs. Supports multiple databases.

Automate code reviews with AI Code Review Assistant.

Retrieval-Augmented Generation (RAG) system over a code repository for a question-answering task

PipelineAgentService is a large language model (LLM)-based application designed for the automated management of data processing tasks.

A simple Python-based chatbot service using FastAPI, LangChain for embeddings, and PostgreSQL with pgvector for storage.

Stop indexing noise. Turn messy websites and PDFs into clean, structured data for RAG pipelines with semantic importance scoring and token optimization.

Production-grade Recursive Language Model (RLM) agent — gives an LLM a sandboxed Python REPL, sub-LLM recursion, vector search, grep, and divide-and-conquer tools to reason over ingested PDFs. Built with FastAPI, LangChain, Qdrant, and OpenRouter.

springboot案例 security milvus langchain spring-ai

Aspect Based Sentiment Analysis (ABSA) of Customer Reviews

AI project on Healthcare emergencies demand immediate and precise intervention. This is quick, accurate and guidance critical in saving lives. This project focuses on AI-powered system specifically designed for healthcare emergencies, enabling efficient, real-time responses through both voice and video calls.

Este projeto foi desenvolvido para oferecer uma introdução prática e acessível ao desenvolvimento de agentes inteligentes utilizando o framework LangChain

This project contains the code and documentation for an autonomous AI agent that classifies, enriches, and scores inbound business leads. It is built with a FastAPI backend, a LangGraph agent workflow powered by a local Ollama LLM, and a Streamlit frontend for demonstration.

Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.

Blazy is an AI assistant to learn about any markdown documentation through a question-answer interface. Blazy-build is the API exposing the model.

论文自动化分析工具

Flint is a GitHub repository dedicated to facilitating job searches in Southeast Asia. However, not all job postings meet quality standards, leading to frustration and uncertainty for job seekers. Recognizing these challenges, Glints steps in to alleviate the complexities of job hunting.

基于LangGraph的智能天气Agent，支持自然语言查询和动态React UI组件生成。

CorpGuide AI Backend: An intelligent HR Policy Assistant powered by RAG, Groq, and LangChain. Features a FastAPI server, ChromaDB vector search, and self-healing database logic for context-aware document retrieval.

Python toolkit that lets your LangChain agents automate Taiga: create, search, edit & comment on user stories, tasks and issues via the official REST API.

A code sample that shows how to use 🦜️🔗langchain, FAISS and a hosted LLM endpoint to do Q&A about 500+ movies in the Kaggle Rotten Tomatoes Top Movies dataset

Farmers' own virtual farmer

This repo contains codes for RAG using docling on colab notebook with langchain, milvus, huggingface embedding model and LLM

Personal Assistant to answer all questions about Adam!

Otodom scraper and information retrieval

Bulk Email Sender with Personalized Content This project is a bulk email sender built using Streamlit and LangChain's ChatGroq model to generate personalized emails for each recipient. The emails are customized based on the client's name and the services they offer, such as E-commerce, Digital Marketing, etc.

QueryPDF is a full-stack application designed to facilitate PDF document analysis through natural language processing. Users can upload PDF documents, ask questions about their content, and receive generated answers.

Natural Language Query Agent over some web data and some pdf which has conversational memory using Groq Cloud API

An intelligent document processing system that uses the Model Context Protocol (MCP) to extract, analyze, and route business documents automatically

A Contextual Retrieval RAG application to chat with a PDF or Text file

AlgoAI is a chatbot (RAG) for answering questions about Data Structures and Algorithms. Built with FastAPI, LangChain, and supports OpenAI or Cohere as LLM providers. Includes features like streaming responses, vector storage with Datastax Astra DB, and message persistence using Postgres.

PaperChat is an AI-powered chat application designed to handle PDF documents through a user-friendly interface. Users can upload PDF files, ask questions related to the content within those documents, and receive responses generated using advanced natural language processing (NLP) techniques.

Multi-agent PR reviewer on LangGraph — four specialists (security, performance, tests, quality) review in parallel. Self-hostable, model-agnostic. GitHub Action + CLI + Python library.

convert CSV to SQL and use langchain to Question and Answer

Friend AI is an avant-garde application blending the strengths of Django, Angular, Python, and PostgreSQL, meticulously stitched together to redefine user interaction with technology. Our AI-driven platform offers a unique approach to extracting, understanding, and conversing with content.

Your go-to companion for movie nights 🍿

The goal is to evaluate CVs based on the O-1A visa qualification criteria

AI-powered project management for software development teams.

A sophisticated AI-powered doctor appointment management system built with LangGraph, FastAPI, and Streamlit. This multi-agent system helps users check doctor availability, book appointments, and manage their healthcare scheduling needs through natural language interactions.

Military recruitment RAG chatbot with LangGraph query rewriting, question decomposition, hybrid retrieval, reranking, vLLM, and FastAPI.

LLMOps: A production-ready platform for building, deploying, and managing customizable multi-agent AI chatbots. The system leverages modern LLMs, agent frameworks, and search tools to provide interactive, context-aware conversations.

Large Language Model API to analyse and compile product recommendations from the popular subreddit r/buyitforlife.

autonomous agent framework built to detect and mitigate training data poisoning in LLM development. Inspired by the scientific method, the system uses a modular suite of AI agents—hypothesis generators, script builders, critics, and testers—to audit data for adversarial patterns. to improve llm data input. utilizing a crewai framework and eletron

Analyze ZIPs of documents and images, detect duplicates and similarity clusters locally, and generate curation reports through a simple API

AI-powered automation for content creation and publishing on LinkedIn

Code related to the blog post about possible application of agentic workflows in CrewAI for LegalTech.

Exploring AI-driven development with CodeSynthAI: An open-source project leveraging LLMs for automated coding through a collaborative multi-agent system

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

A hands-on workshop template that demonstrates how to orchestrate CrewAI agents for planning, research, writing, and review workflows. The stack combines CrewAI with LangChain tools, a FAISS-backed Retrieval-Augmented Generation (RAG) pipeline, and a Streamlit frontend.

6 AI agents collaborate to build complete web applications in minutes. CrewAI-powered software development team that generates FastAPI backends, responsive frontends, tests, and deployment configs - demonstrating 95% automation with human oversight for the final 5%.

The privacy-first memory engine for AI agents. Setup wizard, per-user vaults, smart inbox, natural-language forget, MCP server for Claude/Cursor/Windsurf. Zero API calls. Zero dependencies. Pure Python.

🌍 Automate webpage content audits with GEO Agent Crew, extracting insights and optimization suggestions using cutting-edge AI tools for better online performance.

Winning project for Hack Kosice 2024. Codebase resurrection platform, made as a web app in Typescript and Python, utilizing LLMs

CrewAI Multiagent is an AI-powered automation suite for research, news, poetry, code execution, and PDF search. It leverages intelligent agents, web scraping, NLP, and code interpretation to generate reports, articles, and perform data analysis, streamlining automation across multiple domains.

A Streamlit app that helps you generate agent code for CrewAI based on natural language requirements.

Deterministic execution boundary for AI agents. IFC enforcement at the sink. 5 frameworks. 50 attack vectors. Apache 2.0.

ML.GUIDE is a Multi-LLM Agent System designed to help professionals define, evaluate, and solve machine learning problems. It leverages specialized AI agents for tasks like problem definition, data assessment, model recommendations, research, and code generation. Developed in 17 hours during the AI National Summit (AINS) hackathon on June 9, 2024.

WebBriefs is an intelligent webpage summarizer API that extracts and condenses content into concise, readable markdown format. Perfect for quickly getting the gist of any website

Build a stock analysis agent which builds on the existing Crew AI examples app to do stock analysis of a given stock, get insights, generate markdown reports with charts. This version uses SERPER API, PINECONE, GROQ LLAMA-70B , MIXTRAL-8x7b-32768 and GPT-3.5-TURBO-0125.

My implementations for "AI for Developers" course assignments, in Python and JavaScript.

ProdSense: Multi-agent product recommendation system powered by CrewAI. Scrapes product details from any product website, discovers alternatives, analyzes community sentiments, and curates YouTube reviews. Outputs tailored Markdown recommendations. Experimental, API-driven, and open for tinkering.

🛡️ The CrowdStrike for AI Agents — Runtime protection, threat detection & security monitoring for LLM agents. Supports LangChain, CrewAI, AutoGen, OpenAI. Python • JS • Rust • Go • Ruby • .NET

ThreatScope analyzes codebases the way a pentester would identifying vulnerabilities, logic flaws, and attack paths before attackers find them.

AI agent governance layer — sign, monitor and control every agent action. EU AI Act · ANSSI · NIST ready.

Investigating the usefulness of "AutoGen" by Microsoft. AutoGen is a framework for simplifying the orchestration, optimization, and automation of LLM workflows. This repository contains experiments testing multi-agent coordination, task delegation, and performance benchmarks.

AutoGen Multi-agent Conversation and Recall using Memori

🤖 Extend AI coding assistants with 115 skills, 16 agents, and 48 commands for structured, expert-driven development workflows.