AI Infra agents

This is the official implementation of paper "Leveraging Dual Process Theory in Language Agent Framework for Simultaneous Human-AI Collaboration."

🐱 Pixel art cats on your macOS dock — debate ideas with local AI

参考spring-ai-alibaba-examples示例，实现了一个具备记忆、RAG 、函数调用能力和MCP服务调用的对话式电商 AI 智能体。

Pydantic AI RLM - Handle Extremely Large Contexts with Any LLM Provider

🤖 Workflow n8n : alertes Zabbix → tickets GLPI auto-diagnostiqués par IA (logs Loki + métriques Prometheus + RAG Qdrant)

Self-tuning multi-agent AI trading system. 8-source signal fusion, Bull/Bear/Judge debate on Claude Opus 4.7, Kelly + ATR position sizing. Python · Kalshi + Polymarket adapters.

Agents for Role Play. Agents for Game. Agents as a Game. An orchestrator-agents engine for living worlds — file-backed, event-sourced.

transformers safetensors gemma2 text-generation therapeutics drug-development

transformers gguf liquid lfm2 edge text-generation

Deploy AI chatbots, RAG systems, and agents in under 7 minutes on AWS.

Multiple Chatbots at one place. ChatGPT, BARD, Claude, Bing, Poe, Insys, Xunfei, Purplexity, Cohere and more

Let taotie keep an eye for you on the information you care.

Easily create LLM automation/agent workflows

OpenChat's goal is to become the most feature rich AI user interface on the open source market.

A high-performance tokenizer (BPE + SentencePiece) built with Rust with Python bindings, focused on speed, safety, and resource optimization.

XMPP agent framework

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents

Persistent identity and memory for any LLM agent — markdown-native, provider-agnostic

"FastAgent: Simple, Fast, and Strong LLM Agents"

[NeurIPS 2025] MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

MBA AI Agent课程：2天集中培训，从LLM基础到多智能体系统

[NIPS2025] A decentralized, RAG-enhanced multi-agent framework for LLMs with dynamic task routing and agent evolution.

LiteLLM for Go, the easiest way to write LLM-based programs in Go

高考辅导Agent：基于 LangGraph 的多智能体框架，集成情感识别、RAG 试卷检索与个性化学习规划，为学生提供全方位的智能助学体验。

Maximem Synap is the memory layer that makes AI agents remember. 92% LongMemEval, 93.2% on LOCOMO. Works natively with LangChain, LlamaIndex, CrewAI, Google ADK, AutoGen, OpenAI Agents, Semantic Kernel, Haystack, and Pydantic AI.

Hierarchical Expert Prompt for Large-Language-Models: An Approch Defeat Elite AI in TextStarCraft-II for the First Time

A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.

gradio agent-demo-track region:us

transformers pytorch safetensors llama text-generation conversational

Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation

A local-first workspace for chat, private knowledge, artifacts, and isolated model-driven work. Self-hosted. Provider-flexible. Apache 2.0.

This is a documents loader. (文档解析加载器，rag文档解析，rag知识库构建)

🧠 A Memory System for AI Agents - Rust-based semantic memory with embeddings, LLM consolidation, and MCP support

一个在Unity中实现的生成式人工智能代理规划框架。A planning framework for generative artificial intelligence agents implemented in Unity.

🚀 MCP aggregator for batching multiple tool calls into a single request. Reduces overhead, saves tokens, and simplifies complex operations in AI agent workflows.

[ACL 2024] The project of Symbol-LLM

Structured Output Is All You Need!

Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit

A starter template for building Next.js applications with Supabase for authentication, TypeScript, and Tailwind CSS. Includes branches for creating Langchain and LLM chat interfaces and integrating Stripe subscription payments, making it ideal for setting up modern, scalable web apps with robust auth, AI-driven features, and payment processing.

NoneBot2 猫娘聊天插件

A Rust SDK for building AI agents with multi-provider LLM support.

Evaluate Multimodal LLMs as Embodied Agents

Sample .NET app using Microsoft Agent Framework to showcase collaborative AI agents (e.g. writer + editor) with web & console interfaces.

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch

State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more

This repository contains a collection of the most influential papers, and benchmarks related to Large Language Models (LLMs) based Agent Planning.

A2A-Native AI Agent Platform written in Go

Portable skill for building reliable LLM prompts. Drop-in for agentic-stack.

輸入文字或圖片，LLM會找出適合的梗圖來回覆你

[NeurIPS 2025] The official implementation of the paper "DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents".

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models

Interactive documents from Markdown. Extends MD with forms, approvals, webhooks, and more — built for next gen apps

gradio region:us

Structured Output Is All You Need!

Native Word (.docx) generator tool for Open WebUI — Markdown/JSON in, cover pages, styled tables, callouts, TOC out. MIT.

Build document-native LLM applications

Text to Python Objects via a LLM Function Call

TrustAgent: Towards Safe and Trustworthy LLM-based Agents

commune/chatbot studio base on swoole coroutine framework hyperf

Easily convert agents and orchestrators from existing agent frameworks to A2A servers

An autonomous multi-agent orchestration system for Home Assistant. Features local LLM control (Ollama/DeepSeek), & RAG-powered technical knowledge,

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

This library exposes PAPA, your Personal Assistant powered by Private AI, which can be used in any browser environment and completely offline

Benchmarking Multi-Agent Debate between Language Models for Truthfulness in Q&A.

基于llama-index框架的 RAG 最佳实践，通过业界领先的PDF结构化文档解析能力、混合检索、small2big、Contextual rag等策略实现了高精度的传统rag模式问答效果，同时支持基于plan and solve agent执行pipline的Deep RAG模式，提供多格式文档支持与数据安全的存储架构。

A local AI assistant running on your device. It turns your files into actionable memory.

Go module for fetching embeddings from embeddings providers

A mini assistant to help you read paper quickly

LLM-driven Linux operations assistant CLI with mandatory HITL safety, policy engine, runbooks, SSH guards, and audit trails.

Mobile adapter for IOS and android for mobile LLM agents

LLM & IDA 主导的逆向分析平台

This project is a comprehensive recruitment and interview assistance system developed based on large models and agents, leveraging the langgraph and llamaindex agent frameworks. It aims to enhance job search efficiency and interview performance by automating and intelligentizing the entire interview process. it is China Software Cup A3 competition

Open-source Environment toolkit of claw-like agents, support task/harness generation and evaluation

MiniMax LLM + Pi05 VLA Robot Agent Demo

[ICML2026]A method to use LLM function calling with real-time level speed, empowering latency-sensitive applications like robotics, game AI, and autonomous agents.

Meissa is a multi-modal medical agent, built on trajectory-based agentic behavior distillation framework.

Multi-Agent AI Video Production Pipeline - 6 specialized agents collaborate to produce videos from a single prompt

The official repository for paper: Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents

基于 LangGraph 和 LangChain 构建的智能旅行行程规划系统

Comprehensive AI Model Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.

here is the collection of ai agents mostly and highly used in specific filed for our day to day life check them out and fast&up your work

用 Python 从零搭建一个完整的 AI 编程助手系统：统一 LLM 调用 + Agent 编排内核 + 飞书 IM 桥接

AI-powered bot conversations for AzerothCore WotLK 3.3.5a - for mod-playerbots

docker region:us

面向企业知识管理场景的 RAG 知识库平台 · Multi-Agent + MCP + Hybrid Search

Vibe first. Then FastAgent — turn a local agent directory into a live service: in your app, on GitHub, in Telegram, or any channel.

Natural language understanding library for chatbots with intent recognition and entity extraction.

This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.

Multi-core, Tokio-native orchestration for LLM pipelines.

An AI-powered assistant for your terminal and editor

My version of the Stanford experiment "Generative Agents: Interactive Simulacra of Human Behavior" in Python using a local LLM.

A tiny LLM Agent with minimal dependencies, focused on local inference.

Confidence-Weighted Multi-Agent Retrieval-Augmented Generation (CW-MARAG) — a contradiction-aware RAG system that uses multiple retrieval agents with confidence-based arbitration to generate grounded, non-hallucinated answers from PDFs.

A planner that integrates into Semantic Kernel to enable function calling on all Chat based LLMs (Mistral, Bard, Claude, LLama etc)

An incredibly fast, atomic-first framework that gives software developers more control over agent construction

AI Assistant for Godot

Agentic RAG to help you build a startup🚀