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Agents - RAGs - MCP serv
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…
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
A repository Payman + Langgraph integration examples that allow AI Agent to simply create tasks for Humans on Payman that pay them money when completed.
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]
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
A lightweight framework for building LLM-based agents
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ
Open-source framework for conversational voice AI agents
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
A collection of autonomous agents 🤖️ powered by LLM.
Agent driven automation starting with the web. Try it: https://www.emergence.ai/web-automation-api
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
Implementation and experiments of graph embedding algorithms.
The data plane for agents. Arch is a models-native proxy server that handles the plumbing work in AI: agent routing & hand off, guardrails, zero-code logs and traces, unified access to LLMs from Op…
A library of reinforcement learning components and agents
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.