Python agents

A flexible Haystack 2.0 pipeline integrating Retrieval-Augmented Generation (RAG) with any OpenAPI service

🧩 Intelligent Chunking Methods for Code Documentation RAG

A comprehensive RAG FastAPI service that handles document uploads and retrievals, built with Python. Uses PyMuPDF for document processing, turbopuffer for vector storage, OpenAI for models, and cohere for reranking.

Self-hosted and local-first application for inference and RAG on consumer grade hardware.

DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval, ACL 2026 Workshop RAG4REPORT

An Abstraction Using a similar API to Pinecone but implemented with pgvector python

A Python project that deploys a Local RAG chatbot using Ollama API. Refines answers with Deep Research from external websites, and uses both Embedding and LLM models.

AutoML/Unstructured Data Processing for RAG and LLM Dataset Creation. Current Database Options are: Qdrant or Marqo DB.

A utility to chat with documents

Summarization extension for text-generation-webui, combining both general information & specific information via structured summarization data & RAG for near-perfect memory.

A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.

12-Types-of-RAG, Python, Typescript, ...

Fastest way to make a RAG for your current website. WIP

Teaching Tool: Local RAG and LLM Chat over Logseq with LlamaIndex + Ollama + Chroma

下一代PC本地自动化多智能体框架

Local AI workstation dashboard Neuralforge— manage LLMs, agents, RAG, Telegram AI bot with 14 meme personas & voice cloning, image/video/3D generation, and LoRA fine-tuning and SMM module from a single web UI. Runs entirely on your hardware.

An advanced environmental science chatbot powered by cutting-edge technologies like Langchain, Llama2, Chatlit, FAISS, and RAG, providing insightful answers to environmental queries

Legal Document Retrieval task focuses on determining which legal articles are relevant to a specific legal question.

A Streamlit-based application that analyzes resumes using AI to extract skills, experience, and qualifications, helping recruiters make data-driven hiring decisions.

DAUT – Documentation Auto Updater - AI-powered documentation generator for your codebase. MCP-Connector

Pointer-based skill retrieval for LLM agents. The alternative to vector DB RAG.

A Retrieval Augmented Generation (RAG) implementation in python using django and streamlit, along with a working authentication system.

Self-Evolving RAG System with ChromaDB for continuous knowledge updates (6x daily), designed to overcome Large Language Model data cutoff limitations.

"A Retrieval-Augmented Generation (RAG) system for document query and summarization using vector-based search and language models.

AgriIR: Configurable RAG framework for domain-specific knowledge retrieval in agriculture. Features 6-stage pipeline, deterministic citations, and domain-specific agents. ECIR'26.

Experimental hierarchical external memory for AI assistants, designed to reduce context contamination and localize memory updates.

High level AI chatbot module, wraps OpenAI GPT Chat API. Examples are given for Slack, Google Chat, and FastAPI

A powerful RAG tool that scrapes YouTube channel videos, extracts transcripts, and enables AI-powered chat interactions using Google's Gemini API.

基于Flask的日记管理与情绪分析llm应用，结合了现代心理学理论和大模型技术，为用户提供安全、私密的日记记录和智能情感分析体验。

Official Code repository of our approach Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation

AI long-form novel writing pipeline with SQLite memory, guard registry, continuity evidence, anti-hallucination checks, and revision loop.

Convert your repositories into PDFs and structured JSON outputs, giving LLMs full context of your codebase

Oshepherd: Ollama instances Orchestration

Weld connected structure toolkit for agent-first repository discovery

Experimental MCP tool-list filtering proxy for large agent tool catalogs.

Delta Compression for Fine-tuned Models and Datasets

Trigger-Driven Dynamic Context Loading for Code-Aware LLM Agents

29 Claude Code Skills + Obsidian Knowledge Base = Full ABA Clinical Supervision Automation | AI驱动的ABA临床督导自动化系统

Automates personalized internship outreach emails using Python, Gmail API & Google Sheets — with smart delays, template rotation, and logging.

Official implementation of "Adaptive Prompt Elicitation for Text-to-Image Generation" (ACM IUI 2026)

即插即用的 AI Agent 技能集合 — 飞书集成 · Mermaid 图表 · Codex 编排 · 前端设计规格

Contextual continuity infrastructure for AI coding agents — semantic memory across sessions and org-mode knowledge bases. Pi extension + Gemini Embedding 2 + LanceDB.

AI-powered brand monitoring workflow using Bright Data SDK, OpenAI & SendGrid. Automatically scrapes Google News, analyzes sentiment & emails reports.

Zing plans, builds, tests, and ships clean code with AI. Zing keeps you in charge at each step. This is the Zen of Zing.

Shared memory and identity for your AI agents — Git-native, self-hosted, no vendor lock-in

Minimal CLI companion for calling ida-pro-mcp over SSE from shell scripts, lightweight agents, and general AI workflows.

WebDriver BiDi-first browser harness for AI agents, inspired by browser-use/browser-harness.

Playwright but for any app on any OS

Graph-native workspace backend for OpenClaw — 312 skills, 27 clusters, embedded Cypher via Neo4j. Zero flat files, zero daemons.

🧘 NoWorries (无事) - 开源 AI 桌面助手 | Open-source AI Desktop Agent with Permanent Memory & Safe Mode | Claude Code / Codex / Qoder 平替。基于 OpenClaw / OpenWork / Pi Agent 开发

Production-grade AI Agent orchestration scaffold based on Agno + AgentOS. Supports 8 model providers (OpenRouter/OpenAI/Google/Anthropic/Alibaba/Volcengine), multi-agent Teams, and conditional Workflows.

Write-capable Solana AI agent — swap tokens, send SOL, and manage your wallet through natural language. Experimental: review before trusting with funds.

AI-readable codebase navigation indexes (README_AI.md) via a deterministic CLI — coding agents navigate faster, with fewer tokens. A/B-benchmarked.

Real-time dashboard to launch and monitor multi-agent AI missions using CrewAI + Groq. Choose Swarm Research, Feasibility Sprints, or Conference Planning, watch agents collaborate live with streaming timeline, Mermaid graph, token counter, and history.

Official Python SDK: Multi-agent payments, x402 Auto-Pay, and Base L2/USDC support.

Chrome DevTools for AI Agents — real-time observability, hallucination detection, session replay, and cost tracking. MIT licensed.

The harness your agents grow in.

A community-curated collection of tips, tricks, hidden features, prompt templates, and code snippets for getting the most out of Claude AI.

🕵️ Multi-agent AI system template powered by Gemini CLI — automate daily ops with 10 specialized agents

Local sidecar for AI Agents that will save up to 29% less tokens and will fix your LLM-based agent mess before it happens, score its plans against your repo, and block the agent from going off the rails. Runs entirely on your laptop.

Runtime Gateway for AI Agents. 17-phase security pipeline between agents and LLM APIs. Works with OpenClaw, Paperclip, Claude Code, Cursor. Open source, MIT license.

Research benchmark: conversational memory learning on a corrected LoCoMo dataset

Modern modular interface for orchestrating AI agents. Value-based flow management, FastAPI + React + CrewAI.

Yet another AI agent framework — but this one's named after me, so it's automatically better.

Build a 100% local AI Agent which uses Google to research topics

The only agent memory that gets better over time. Nightly consolidation, active forgetting, salience scoring. 9.01/10 on AMB benchmark. Local-first, Apache 2.0.

MCP server built with Google’s Agent Development(ADK) Kit featuring multiple specialised agents that collaborate through intelligent routing. The system provides RESTful API endpoints for various capabilities including web searches, data analysis, and code generation while maintaining extensibility through a modular architecture

🏰 883+ Universal Agentic Skills for Claude Code, Gemini CLI, Cursor & More — Curated by Rootcastle Engineering & Innovation (REI) | Batuhan Ayrıbaş

An enterprise-grade, LLM-powered data pipeline for automated web tasks and document extraction. Integrates OCR, multimodal file support, and browser automation via LLMs (Gemini/Ollama) to transform unstructured data into actionable workflows with real-time monitoring.

📄 Extract BibTeX entries from PDFs automatically, generating a complete bibliography without manual input or reliance on external APIs.

一个面向个人与团队的 AI Workspace，将云存储、文档管理、LLM 与知识库与Herness工程整合到统一的平台中，让 AI 能够真正理解、编辑、创建你的文件，而不仅仅是存储它们。

A Streamlit app for chatting with the content of uploaded files (PDF, DOCX, images) using AI, featuring conversational memory, document summarization, retrieval-augmented generation, and powered by GPT-4o-mini, LangChain, and LangGraph.

All-in-One AI Playground for LLM, Chat, RAG, MCP, Agents, Skills etc.

Event project from ETHGlobal Bangkok 2024 combining crypto market modeling and a CDP AgentKit workflow.

AI Agent for Monthly Budget Management

🚀 AI-powered freelance gig aggregator MCP server for Claude Desktop. Search gigs, generate proposals, negotiate rates & optimize profiles with ChatGroq AI.

A state-of-the-art multi-agent travel planning system built with LangGraph, Google Gemini Flash-2.0, and DuckDuckGo Search. The system offers three different planning approaches, from traditional single-agent to cutting-edge multi-agent collaboration using modern industry frameworks.

A production-grade AI Agent that intelligently answers user queries by combining a private knowledge base (RAG) with real-time web search, powered by LangGraph orchestration. The system emphasizes transparency, control, and modular design, making it easy to understand, debug, and extend.

AI Mafia Game is a full-stack application that simulates the classic party game Mafia (also known as Werewolf) where AI agents with unique personalities and characteristics play against each other. The project demonstrates advanced AI integration, real-time simulation, and interactive visualization of complex social dynamics.

A Deep research agent that will pull live data from sources like Google, Bing, and Reddit for answering user queries

RAG system for intelligent question answering over PDF documents

基于 LangChain + LangGraph + Qdrant 构建的本地 AI 数字员工，支持 PDF/Word 知识库问答、5 类智能报表生成、多轮对话记忆、HyDE 混合检索与全自动量化评估。

AutoGDB: First Automatic Binary-exploitation Tool combining ML ReACT Reasoning and GDB Dynamic Debugging (2024)

chatbot com IA e RAG integrado ao whatsapp pelo waha.

🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.

Automate the creation and sending of cold outreach emails with a simple, streamlit app.

LangGraph AI Agent is a personal AI bot built using LangGraph, designed to interact with users for various applications. It leverages multiple language models (LLMs) to provide intelligent responses and can be configured according to user preferences.

Template for building a High-Accuracy Retrieval-Augmented Generation (RAG) pipelines with hybrid search (semantic + keyword), reranking, and LLM-based generation.

基于 LangGraph + LangChain 框架构建的智能旅行规划助手，通过 MCP 协议接入高德地图云服务，提供个性化的多日旅行计划生成。

AI research assistant that extracts structured patterns from papers using RAG, LangGraph, and Claude. Query across your research library with natural language.

A powerful AI-powered application for generating and exporting YouTube short-video scripts.

Learn from PR reviews, help your team proofread faster and more efficiently with LLMs.

A RAG application to search through the recent ML research without going through the Papers with Code manually.

An AI-powered career accelerator built with Streamlit, Gemini 2.5, and LangChain. Features an intelligent Resume Builder, ATS Scanner, and Career Chatbot to help job seekers land their dream roles.

AI-powered stock analysis and investment recommendation app using CrewAI agents, Gemini LLM, DuckDuckGo Search and real-time market data. Generates comprehensive reports, news summaries, and buy/hold/sell advice.

Agentic multi-agent runtime inspired by cybernetics, Stafford Beer’s Viable Systems Model, and systems theory.

Local Codebase Assistant, data are locally and the inference is customizable!

Multi-Agent LLM Analysis Framework for A-Shares + Crypto | A股+加密货币多智能体交易分析框架