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Agents - RAGs - MCP serv
LLM Inference, Alignment, DPO
plus Preference Tuning + Reward Optimization, high-Throughput, RL, HPO, KV Cache compressions, Reasoning methods, Jailbreaking, TTT n ComputationLLM integrations - LAM - GenAI
+ Action LMs, ecosystems, voice features, TTS, AudioStars
An email and SMTP testing tool with API for developers
The most comprehensive authentication framework for TypeScript
This is a model-driven approach to handling form inputs and validations, heavily inspired in Angular's Reactive Forms
A Fast and Easy to use microframework for the web.
Open Source Identity and Access Management For Modern Applications and Services
Simple form maker for Flutter Framework
Port of OpenAI's Whisper model in C/C++
Implementation and experiments of graph embedding algorithms.
Open-source framework for conversational voice AI agents
AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
A lightweight framework for building LLM-based agents
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
A repository Payman + Langgraph integration examples that allow AI Agent to simply create tasks for Humans on Payman that pay them money when completed.
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured…
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
[ICCV 2025] LLaVA-CoT, a visual language model capable of spontaneous, systematic reasoning