GitHub agents

Voice memos recorded from the microphone, transcribed offline to text and converted to Joplin notes

chatsnack is the easiest Python library for rapid development with OpenAI's ChatGPT API. It's an intuitive interface for creating and managing prompts, templates, and responses, making it convenient to build complex, interactive conversations with AI.

A lightweight coding agent that runs in your terminal.

LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins

This repository contains a basic Node.js example demonstrating how to call functions using the OpenAI API. The example showcases a conversation with the OpenAI GPT-3.5 Turbo model, including making function calls and processing their responses.

Translate markdown files using GPT-4 model

Telegram Bot for Image Generation with DALL-E OpenAI

SQL function for SQLite to directly query OpenAI's ChatGPT

Mashang Claude Code: 社区增强版 Claude Code 工具集，支持一键启动面板、多服务商接入与开发者模式。

💁 Example code for a blog post series about using a RAG system on a local codebase.

A proof-of-concept for a RAG to query the scikit-learn documentation

Open source NLA. Hosted service in private beta, signup now! Alternative to Zapier NLA

rudradb-opin-examples is for example implementations of the pip install rudradb-opin

Use Gemini Pro LLM via VertexAI to create an engaging quiz game incorporating TMDB API data

网络安全 LLM 智能体应用教程

A robust framework for building AI agents with multi-provider LLM support

The official codes for "Can Modern LLMs Act as Agent Cores in Radiology Environments?"

Swarms for Javascript, the future of AI, where we leverage the power of autonomous agents to create 'swarms' of Language Models (LLM) that work together, creating a dynamic and interactive AI system.

AI Emoji Argue Agent 🚀 基于LangChain的开源表情包斗图Agent

Bulk insertion extension for ActiveRecord; don't create, crewait!

AI Agents with Google's Gemini Pro and Gemini Pro Vision Models

Unofficial CrewAI JavaScript SDK

Jarvis - Autonomous desktop agent

ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents

Console Kit is platform that enable developers for building specialised agents operate onchain autonomously.

Symphony Go — Autonomous AI Agents Close Your Linear and Github Issues While You Sleep

An exploration of using multiple agents collaborating to perform research

Atari gauntlet for RL agents

Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.

Run OpenClaw and OpenCode in the browser. Self-hosted, multi-user, Helm-deployable.

Multi-agent Task Allocation (WAFR2022)

CoMAL: Collaboration Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic

Prioritized Multi-Agent Path Finding using Safe Interval Path Planning (SIPP) and modifications

Multi-Agent framework for Godot

OpenReviewer is an automated multi-agent system for deep, evidence-driven research paper review, validation, and integrity auditing across methodology, experiments, citations, and cross-section consistency.

In this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with opposite goals. At the beginning of the game these agents have homogeneous properties and evader and pursuits don’t have knowledge about the map. The purpose of the pursuer robots is the catching the evader as fast as it could and the purpose of the evader robot is the escaping as much as it could. Such as this game, where a player's gain is in balance with the loss of other players are called zero-sum games. The end condition, which may differ according to the approach applied, in our study is that “any of the pursuers or evader within the same or neighbor pixel with obstacle or map border” or “one pursuer and evader within the same or neighbor pixel”, in other words, Evader catches by the any of the pursuers or evader hits an obstacle or any pursuers hits an obstacle. A new episode of the game resumes after each collision or cath. In this respect, escape-chase problems are also included in the repeat games class. In this study, the question is what any pursuer or evader can do to improve its performance in a repetitive part of the game is questioned. The method used for this study is Deep Reinforcement Learning. Agents receive rewards or penalties based on their moves within a section and update this information into the Neural Network.

Claude Code power-user setup: 5 agents, 32 skills, notification hooks, workflow rules

Simple GPT reference agent for Crustocean

Making LLM Tool-Calling Simpler.

CMake functions for adding NuGet package dependencies with CMake exports or native .targets files, generating and merging .nuspec files, calling nuget pack, and more. WIP.

Analyzer: called is a analyzer which can find function calling

Short fine tuning demo with custom dataset for training gemma2-2b-it to perform function calling

Automates steady and unsteady adjoints (general solvers and ODEs respectively). Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well as custom rules to allow for mixed-mode AD or calling external (non-AD compatible) functions within an AD chain.

A chatbot built with Python and Angular, utilizing POML for prompting and Langchain framework. Angular version 20. Developed by HERE AND NOW AI

chatbot framework that allows for the creation of highly customized models using structured prompts against the base text-davinci models... extends context window via summarization. Donate if you want to see this on GPT-4

An Agentic RAG starter that use Swarm, Nemo Guardrails and SingleStore as a database

A collection of AI related python scripts for things like training, RAG and agents.

Framework for Self-Organizing Python Agents

Framework for building AI agents with real-time adaptive learning capabilities.

A credential-helper framework and agent for Bazel and similar tools implementing the credential-helper spec. authentication, aws, bazel, credentials, gcs, google-cloud, s3

AI project management for solo agentic development. Persistent memory, expert plan validation, automated code review, and structured workflows — powered by a knowledge graph. Works with OpenCode and Claude Code.

Beyond chatbots: an AI platform that understands user intent and dynamically renders contextual UIs. 1,100+ tools, 30+ models, 100+ integrations.

🚀 A collection of Claude subagents, skills, rules, guides, and blueprints for Developers, Engineers, and Creators. | Covering programming languages, DevOps, Cloud, and beyond.

The building blocks of an enterprise adoption framework for agentic coding — technical training, adoption playbooks, governance policies, industry analysis, proposal templates, and practical workflows. From understanding how AI agents work to rolling them out across teams. Built for leaders driving adoption.

Production-ready AI infrastructure: RAG with smart reindexing, persistent memory, browser automation, and MCP integration. Stop rebuilding tools for every AI project.

An Agent-native Obsidian wiki + CLAUDE.md skeleton that lets Agent know your project as well as you do.

MCP to LangChain Tools Conversion Utility / Python

The Yahoo Finance Agent is an application that combines OpenAI's LLMs, the Yahoo Finance Python library, and LangChain's tools to provide real-time financial data. It features stock information, financial statements, and an interactive chat interface, all while maintaining conversation context and integrating with Langsmith for debugging

Implementing a scalable content team using AI involves creating a framework that blends the strengths of AI technologies with the creative and supervisory capabilities of human team members. This strategy aims to enhance efficiency, creativity, and content output quality.

This is the repo for the team Pikachu's solution in the League of Robot Competition 2023. Our solution won the Overall Best and Fast Mover tracks and ranked second in the Line Honours track.

Lyzr Agent Framework is the first and only agent framework to natively integrate Safe AI and Responsible AI modules in its core agent architecture

Match your resume with a job, effortlessly

Prompt Free, Soul Driven AI Assistant

⚡ Lightning-fast personal AI assistant with modular plugin architecture, Feishu integration, scheduled tasks & persistent memory

Data-Driven Cycling using Strava data and GPX data analysis. Digital Personal Trainer using old cycling workout data to predict new workouts

I'm an AI assistant with extensive knowledge in psychology, and my name is Care.

:expressionless: Core yetibot utilities, extracted for shared use among Yetibot and its various plugins

CLI to generate shell one-liners from natural language using llms

Karpathy's autoresearch loop for non-ML domains: outreach, prediction markets, prompts

A community-driven repository to share and explore prompts used for generating various types of images with GPT-4o.

Laravel AI Guard 🛡️💰🤖 - Control and optimize AI costs in Laravel AI SDK applications 🚀 Track OpenAI & LLM token usage 📊, estimate AI costs before execution ⚠️, enforce AI budgets 🧾, and prevent unexpected billing spikes in production 💥.

RAG-Buddy: Decrease cost and lower latency for LLM apps

mkenv is a fast, secure, reproducible local isolated development environment generator.

Code for the OpenCV demo of a recipe transcription OCR agent.

Build an LLM powered Ask the Data App with LangChain (using the Pandas DataFrame Agent) and Streamlit

(ACL2025 Findings) Official code for the paper "STeCa: Step-level Trajectory Calibration for LLM Agent Learning"

学习日志记录/笔记，涉及 LLM，AI Agent，客户端、前端、后端等相关领域技能知识

TaskForge runs AI agents in sandboxed Docker containers with capability-based security. Agents start with minimal permissions and must request new capabilities (packages, network access, tools) through a human-in-the-loop approval process. Every approval triggers a container image rebuild, and every LLM interaction is logged for audit.

LLM-powered macOS automation agent. Control Mail, Calendar, Reminders via natural language using AppleScript. Telegram voice commands, browser automation, and 100+ LLM providers.

Langchain Agents

Create your own autonomous agent to help with the development of Godot Engine games.

Multi agent PPO implementation in Pytorch for Unity ML Agents environments.

example of a multi-agent-a2a

Code for the RA-L 2024 paper "Contingency Games for Multi-Agent Interactions."

AI狼人杀一多智能体协作与博弈的AgentTeam实战

(Official) PyTorch implementation for Trajectory-Class-Aware Multi-Agent Reinforcement Learning (ICLR 2025)

Self-Adaptive_Swarm_System(SASS) for 2019 IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS) Version. Paper: Self-Reactive Planning of Multi-Robots with Dynamic Task Assignments

🚀 Enterprise-grade API Gateway for MCP Protocol, built with Java Spring Boot. Supports authentication, proxy, and traffic management for AI tool calling.

Decision-tree backed chatbot framework.

A software framework for building AI agents through composition.

The first open-source GUI for GitHub Copilot CLI — a multi-engine AI coding client with zero-config secure remote access from any device.

基于 SenseVoice 的 Windows 本地语音转文字工具，支持 OpenAI 格式 API 润色，低延迟，高精度。

Autonomous Polymarket scanner — Claude finds mispriced probabilities, Kelly sizes the edge

Text-first toolkit for building reproducible, composable LLM workflows as plain files in OCaml.

LLM Security Platform.

NewsAgent is an enterprise-grade news aggregation agent designed to fetch, query, and summarize news from multiple sources at scale.

Implementation of Corrective RAG using LangChain and LangGraph.