Category
Business agents
3,889 Business AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
3,889 agents · ranked by popularity · refine in the directory →
Business agents — page 4 of 39
Chrome Built-in AI Demo page
Production-grade Agentic RAG for scientific literature — multi-hop reasoning, GraphRAG, and multi-LLM routing
Use multiple LLM backends in a single crate, simple builder-based configuration, and built-in prompt chaining & templating.
A repository that provides a structured system for maintaining context and tracking changes in Cursor's AGENT mode conversations through template files, enabling better continuity and organization of AI interactions.
RAG using Llama3, Langchain and ChromaDB
Multi-Model Chat — Compare responses from multiple AI models side by side in real-time. Supports GPT, Claude, Mistral, and local models (Ollama). Built with React, TypeScript, and Tailwind CSS.
从 0 复刻 WorkBuddy-style 桌面 AI 助手 Harness：24 章 Python 教程，覆盖 Agent Loop、工具调用、记忆系统、Sidecar、沙盒审计、DeepSeek/OpenAI 评测轨迹
A multimodal chat interface with many tools.
Production LLM call layer for AI agents and tools: keep OpenAI/Anthropic/AI SDK/LiteLLM, hot-swap models with MDA presets, and add cache, retries, circuit breakers, key rotation, singleflight, and Python/TypeScript/Rust parity.
A command-line personal assistant that integrates with Google Calendar, Gmail, and Tasks to help manage your digital life.
A Model Context Protocol server implementation for operations on AWS resources
Fully featured .NET library in C# to build MTConnect Agent, Adapter, and Client Applications. Pre-built Agents with Windows Installers. Support for Windows and Linux. Supports MTConnect Versions up to 2.7. Supports .NET Framework 4.6.1 through .NET 10
An AutoHotkey v2 application that utilizes OpenRouter.ai to seamlessly integrate Large Language Models into your daily workflow. Process texts with customizable prompts by pressing a hotkey and interact with multiple AI models simultaneously.
Interactive & Responsive 3D developer portfolio built with React, TypeScript, Three.js, GSAP, WebGL have AI chat & chessbot
企业级多Agent医疗临床辅助决策系统 | Python/Java/Go三种实现 | LangGraph Pipeline | GraphRAG | FHIR R4 | HIPAA合规 | 完整面试准备材料
Memory that learns what works.
Text-To-VRMA — VRM特化型Text-To-Motionツール
Demonstrates how to build a streaming enterprise agent using Azure AI Agent Service. This sample integrates local HR and company policy documents, Bing for external context, and GPT-4o (though the service is model-agnostic) to deliver real-time Q&A and automated workflows.
Transform ChatGPT into a navigable knowledge graph. Visualize complex branches with the spatial Graph View, manage history via the Git-style Timeline Tree, and enjoy a growing toolkit of workflow utilities.
Local LLM cost-tracking proxy for OpenAI, Anthropic, Gemini, and pinned OpenRouter calls with token usage, failure, and billing-integrity receipts.
Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadashy)
Nohrs Explorer: Develop a fast, flexible, and extensible file explorer using Rust and gpui as a modern alternative to macOS Finder, aiming to deliver a seamless, high-performance interface and AI agent capabilities that surpass those of claude cowork.
🦑 Unified Swift SDK for LLM inference across local and cloud providers
🖥️ A native desktop client for OpenClaw premium UI experience without the browser. Built with Electron + React + TypeScript. Bilingual Arabic/English with full RTL support.
Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
DeepRolePlay is a groundbreaking multi-agent role-playing system that completely solves the character forgetting problem of traditional large language models through Agent collaboration mechanisms.
✦ The intuitive LLM framework
🚀 Building Go applications with LLMs through composability
Notion mcp to connect AI agents to notion through markdown | Read and write notion markdown
Natural Language Application Development (NLAD) - A methodology for building applications by leveraging LLMs to create higher levels of abstraction in software development.
AI agents worth falling in love with. Built by the community, loved by everyone.❤️
Multi-agent AI discussion CLI for structured debates between LLMs
Reliability harness for long-running OpenClaw agents: persistent state, strict task contracts, scheduled execution, and external validation.
Tandem is the authority layer between AI agents and company tools: runtime policy for tools, memory, approvals, and audit trails.
allms: One Rust Library to rule them aLLMs
An AI-powered Quran knowledge graph — place verses on a canvas and discover thematic, linguistic, and theological connections.
Radhika is a multi-model AI assistant built for your mood and friendship 💞
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.
Self-hosted app store and runtime for AI agents. Install third-party agents, run them on your infrastructure with your own model providers (Ollama, Bedrock, OpenAI, etc.). Container isolation, credential injection, default-deny egress.
Async transport layers for MCP
An AI assistant that lives in your browser side panel
GPT-4 Vision Chrome Extension
Ask several AI models one question — they answer in parallel, critique each other blind, and you decide. Native macOS, bring-your-own-keys.
Point your existing SDK at one URL and reach every LLM vendor — with real failover, not a try/except. One static Rust binary.
A caching solution for asyncio
Automotive Agent Protocol
InferrLM - On-device AI for iOS & Android
(ICML 2026) Self‑Evolving LLM Agents through an Experience‑Driven Lifecycle
This is a Whomrx GPT which is related to the worm GPT and the natural enemy of the chat GPT {UPDATE 2025}
A curated list of awesome things related to the WebMCP W3C standard
A chrome extension that lets you select any text and run it through ChatGPT
Chat GPT chrome extension Copilot
🧠 Active memory management system enabling functional infinite context for LLMs through cognitive workspace architecture
Multi-UAV Assisted Wireless Powered Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques (including attention mechanisms) with collaborative and adaptive caching policies for supporting mobile edge computing through UAVs.
An agentic browser driver for AI , few tools, full control, real stealth, top-tier token efficiency.
Open Source Prompt Manager for ChatGPT, Supports any website & some cool features!
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.
An all-in-one Tampermonkey script to supercharge your Claude.ai experience with a powerful conversation manager, advanced export, and unique chat enhancements.
基于 LLM 的智能求职助手：AI 岗位匹配 + 千岗千面招呼语 + 自动投递（Edge/Chrome 扩展）
Fully stealth chromium for AI agents.
Augment AI agents with long-term memory through knowledge graph 🧠
MCP-powered Home Assistant conversation agent that solves entity context limitations through dynamic discovery instead of full entity dumps
A light-weight, modular, and high-performance framework for building llm agentic systems.
Enable agents to run registered ComfyUI workflows through a local ComfyUI server using this repo’s CLI, returning structured JSON outputs.
AIEvo is a multi-agent framework open sourced by Ant Group. Through this framework, you can create a multi-agent application.
🤖 A curated list of websites that restrict access to AI Agents, AI crawlers and GPTs
A Virtual Sales Agent that uses LangChain, LangGraph, and Gemini Flash to simulate customer interactions. Features include product inquiries, order management, and personalized recommendations through a user-friendly Streamlit interface.
MCP server for Wanderlog — build and edit trip itineraries through conversation
A custom Agent OS built to be hackable, heavily inspired by OpenClaw.
💎 A Ruby implementation of the Model Context Protocol
Gemini CLI extension for Anthropic-style Agent Skills via skillz MCP server
A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents.
Build AI Agents for popular LLMs quick and easy in Laravel
Control robots and physical hardware with natural language through Strands Agents.
A high performance C++ SDK for AI Agents
Hands-on, project-based course in AI, LLMs, RAG, and agents — 24 modules in TypeScript + Python, provider-agnostic (OpenAI/Anthropic/Ollama/NVIDIA/LMStudio).
Semantic caching layer for your LLM applications. Reuse responses and reduce token usage.
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
A Chrome side-panel browser agent
Demos and sample apps using Chroma
Anything Copilot enables you to open any sites in a multi-tab sidebar or popup, enhancing accessibility and productivity while maintaining privacy and flexibility.
Telegram bot for persistent Claude/ChatGPT conversations using Pi agent — zero-cost multi-turn AI sessions with file attachments, shell access, and local storage
A flagship 560-billion-parameter open-source MoE model that advances Native Formal Reasoning in Lean4 for Mathematics Formalization and Proving through agentic tool-integrated reasoning.
Your business, on autopilot. AI-native business OS — projects, CRM, docs, calendar, terminal, and AI agents that actually run your business. A MIOSA template.
GoHighLevel MCP Server — Update #2 (2026-06-11): easy setup commands + high-level curated CRM agent tools. Full update history in UPDATE_LOG.md.
NeuroMinecraftGenesis (NMG): A revolutionary AI system that draws on the DiscoRL self-evolving algorithm, six-dimensional cognitive engine, and quantum-classical brain computing developed by DeepMind. It features multi-agent evolution, three-world integration, and AI toolkit capabilities.
Sales AI agent that talks with your customers, recommend products, book consultations, and process Stripe payments
A comprehensive directory of the connectors in Anthropic's Claude Connectors catalog — 841 MCP integrations across both catalog surfaces (web directory + in-app catalog), plus 18 held pending vendor verification, organized by category with descriptions and use cases.
Atlas — Agent Memory on Elasticsearch. Three indices, hybrid recall with a reranker, supersession, decay, and per-user DLS isolation.
InferrLM - On-device AI for iOS & Android
Anthropic-compatible HTTP facade over claude-agent-acp
Use Anthropic Claude Agent SDK in a Cloudflare Sandbox
Open Source AI Made Simple
About A Bun-powered trading workstation for Aster and Hyperliquid perpetual contracts that ships two production-ready agents: an SMA30 trend follower and a dual-sided market maker. The CLI is built with Ink, synchronises risk state from the exchange, and automatically recovers from restarts or disconnects.perpetual - perp dex trading bot
Evolutionary Reinforcement Learning for Dino Game: Train an AI agent to master Google Chrome's Dino Game using a genetic algorithm and reinforcement learning.
In-browser GraphRAG
A system prompt that turns an LLM into a Senior Product Manager that walks you through creating an agent-ready PRD via chat.
A toolkit for turning internship materials into resume-ready bullets and interview-ready project narratives, with achievement auditing, JD-based ranking, AI-heavy phrasing checks, and structured interview prep outputs.
Enterprise-grade memory framework for LLMs featuring GPU-optimized inference, vector storage, and automated scaling. Enables hyper-personalized responses through efficient context retrieval and integration.
Formally verified smart contracts gives mathematical certainty across all inputs and execution paths. We bet that agents will make full formal verification practical.