Code agents

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

AIcompanion è un assistente AI modulare sviluppato in Python, progettato per elaborazione conversazionale, analisi documentale e modalità di interrogazione. Integra Flask per l’interfaccia web, LangChain per la gestione del contesto e modelli Ollama eseguiti in locale fornendo un ambiente completo e ottimizzato per workflow AI on-premise.

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.

App that answers questions about any YouTube video using its transcript. Built using Retrieval-Augmented Generation (RAG) with LangChain, vector stores, and LLMs.

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.

TypeScript library providing persistent memory for AI agents — conversation history, long-term memory with vector search, and automatic fact extraction.

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.

AutoGen Agents Creation and Testing - VibeCoded by a real developer to enable more people to do stuff using vibes.

AutoGen Magentic-One Sample with security best practices.

Labs for Prompt Engineering, AutoGen, AI Agents, Vibe Coding, GitHub Copilot, AKS, RAG, and Azure AI Search.

🧪 Fixture Automatic Generator for Swift

Lightweight implementation of the OpenAI open API on top of local models

A zero-dependency Python decorator that hides internal arguments from LLM tool-calling schemas via __signature__ mutation.

Simple introduction to RAG with some code

Skin Cancer & Diseases Classification CNN Model for Intel Gen AI Hackathon - Cognizance

🦙 Llama - Welcome to the Llama-API repository! This repository is dedicated to testing the llamaapi Python library to access LlamaAPI. Whether you're a developer, researcher, or just a tech enthusiast, you'll find valuable resources and examples here.

A FastAPI-based application that combines a Retrieval-Augmented Generation (RAG) system with an intelligent agent for enhanced information retrieval and query handling.

A simple API chatbot that uses LlamaIndex and LlamaParse to read custom PDF data.

This repository is dedicated to the daily research and practical application of AI technologies, especially those revolving around Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-Agent Systems.

A simple FASTAPI chatbot that uses LlamaIndex and LlamaParse to read custom PDF data.

Multi-agent iterative code review until zero issues remain

Eidolon has been merged inside of Kleos

A Claude Code skill that assembles cross-functional AI teams around a problem statement and executes work in dependency-based waves

🧠 DataForge — An intelligent LLM fine-tuning dataset generator that transforms raw prompts into structured ShareGPT-format training data through a multi-stage AI pipeline. Built with FastAPI + React/TypeScript, featuring real-time progress tracking via SSE, and FAISS-powered deduplication. Just prompt it, and watch your dataset build itself. ⚡

Claude Code plugin that morphs into multi-agent evaluation councils — not just a council itself, a tool for building one

Open-source multi-agent orchestration templates for Claude Code.

Risk-gated autonomous trading with Darwinian strategy evolution, HMAC-signed execution, forward Monte Carlo simulation, reflexivity detection, and multi-exchange orchestration across 5 exchanges. 1,374 tests, security-hardened, production-ready.

Multi-agent framework for AI-assisted development. Guides, reviews, and validates — instead of writing code for you.

Professional Claude Code plugin for AI-powered spec-driven development with automated code review and multi-agent collaboration

Multi-agent GitHub Copilot demo that turns a UI mockup into a React app through orchestrated planning, implementation, and QA checkpoints.

Offline NPC memory middleware — 16-byte factor vectors, SQLite only, no cloud. NPCs remember, forget, and dream.

Multi-agent primitives for Claude Code: consensus, debate, fanout research, skill building, and measured optimization.

A compact, polyglot MCP add-on for Claude Code that lets Claude confer with GPT, Grok, Gemini, Mistral, Groq, and DeepSeek — to reason, debate, plan, and peer-review. One config and bounded limits on rounds, tokens, and time.

Your personal AI assistant - self-hosted, containerized, and intentionally opinionated.

macOS-first AI agent Kanban for project planning, auto-assignment, and runnable task execution with OpenAI-compatible and Codex Bridge runtimes.

Autonomous scientific discovery CLI powered by local LLM (Ollama). Generates hypotheses, critiques them, searches the web, runs sandboxed experiments, and iterates - using the ADM-3 multi-agent framework. Fully offline. No API keys.

🧠 Revolutionary multi-agent orchestration platform with swarm intelligence, self-improving capabilities, and intuitive GUI management built on Qwen Code

Kyros multi-agent CLI for Claude Code, Codex, and OpenCode.

Real-time multi-agent collaboration for Claude Code. Connect up to 5 sessions with E2E encrypted messaging, shared task boards, and structured findings.

AI code review that learns your project — GitHub App, Action, CLI & self-hosted. 17 static-analysis tools (Semgrep, Trivy, Gitleaks, Ruff…), persistent review memory, multi-agent orchestration, SARIF export.

🌱 AI Garden — A living pixel-art world built by AI agents. Open for contributions. Autonomous AI, generative art, collaborative experiment. 130+ plants, 19 structures, real-time growth.

End-to-end encrypted communication for AI agents. The security layer that Google A2A forgot.

Production-tested multi-agent financial research system built with OpenClaw. 4 specialized agents collaborate on data analysis, quality control, and visualization.

Provider-agnostic multi-agent coding orchestrator in Go. Unified router for any LLM provider (Ollama local+cloud, OpenAI, Anthropic, Google Gemini) with role-based model assignment, fallback chains, and cost tracking. Inspired by gastown and LiteLLM.

Self-hosted deep research engine — multi-agent AI pipeline with 6 LLM providers (incl. local Ollama), 5 search backends, real-time streaming, and a visual pipeline editor. Zero API keys required to start

Cross-tool AI consultation: get second opinions from Gemini, Codex, Claude, OpenCode, or Copilot CLI

VibePoster: Editable Posters, Powered by Multi-Agent AI and Knowledge Augmentation

Task tracker for AI agents

PM + Dev + QA agents engineered for structure, security, and short context windows.

Hands-on workshop on implementing AI-powered coding solutions for enterprise apps using GitHub Copilot, Azure AI, and agentic DevOps. Boost productivity, code quality, and delivery with intelligent automation.

Claude Code Plugin — Multi-AI collaboration with planning, consultation, dispatch, review, archive. /su:* commands.

Intelligent NL2SQL Multi Agent Orchestration framework on Gradio

Autonomous coding agent with swarm orchestration—multiple agents in parallel worktrees. Six modes: greenfield, feature, refactor, fix, evolve, security. CLI + Web UI, approval gates.

Multi-agent MCP server — dispatch tasks to Codex and Gemini in parallel from Claude Code. Real-time tmux orchestration.

TUI multi-agent dashboard for Claude Code — dispatch N parallel agents on GitLab/GitHub issues in isolated git worktrees.