# Intelligent Agents

Propoliskey is an automated QA tool that uses intelligent agents to simulate real user operations and explores how to use products, discovering and reporting errors and recommendations. Its main advantages include saving time, enhancing user experience, reducing costs, and providing data-driven insights.

Eko is a production-grade intelligent agent framework designed for developers. It allows them to easily construct agent-based workflows through natural language and coding logic. Eko's key advantages include efficient task decomposition capabilities, robust tool support, and flexible customization options. It aims to help developers quickly implement complex automated tasks, thereby enhancing development efficiency. Developed by the FellouAI team, Eko is currently open-source and supports various platforms, including browsers and desktop environments. The exact pricing has not been explicitly disclosed, but given its open-source nature, it may be available for free to developers, although some advanced features or customization services might require payment.

Dria-Agent-a-7B is a large language model trained on the Qwen2.5-Coder series, specializing in agent applications. It utilizes a Pythonic function calling approach, offering advantages such as simultaneous multipurpose function calls, free-form reasoning and actions, and instant complex solution generation compared to traditional JSON function calls. The model has demonstrated excellent performance across various benchmarks, including the Berkeley Function Calling Leaderboard (BFCL), MMLU-Pro, and the Dria-Pythonic-Agent-Benchmark (DPAB). With 7.62 billion parameters and employing BF16 tensor type, it supports text generation tasks. Its key benefits include powerful programming assistance, efficient function calling methods, and high accuracy in specific domains. The model is suitable for applications requiring complex logic processing and multi-step task execution, such as automated programming and intelligent agents. Currently, it is available for free use on the Hugging Face platform.

Smolagents is a lightweight library that allows users to run powerful intelligent agents with just a few lines of code. It is characterized by simplicity and supports any language model (LLM), including models on Hugging Face Hub and those integrated via LiteLLM from OpenAI and Anthropic. It specifically supports code agents, where the agents perform actions by writing code instead of writing code themselves. Smolagents also offers safe code execution options, including a secure Python interpreter and a sandbox environment using E2B.

AgentRE is an agent-based framework specifically designed for relationship extraction in complex information environments. By simulating the behavior of intelligent agents, it efficiently processes and analyzes large-scale datasets, identifying and extracting relationships between entities. This technology is significant in the fields of natural language processing and information retrieval, especially in scenarios requiring the handling of extensive unstructured data. Key advantages of AgentRE include its high scalability, flexibility, and capacity to manage complex data structures. The framework is open-source, allowing researchers and developers to freely use and modify it to suit various application needs.

Finetune is a developer-focused platform for fine-tuning AI intelligent agents. It allows developers to create synthetic users that reflect customer characteristics, enabling agents to test and learn in a simulated environment. The platform offers session reports and weighted execution graphs to help developers understand performance and optimize accordingly. Additionally, Finetune supports various popular AI models and frameworks, simplifying the integration and deployment process.

xLAM is an intelligent agent research project based on Large Language Models (LLMs) developed by the Salesforce AI Research team. It aggregates intelligent agent trajectories from various environments, standardizing and unifying them into a consistent format to create an optimized general data loader specifically designed for intelligent agent training. xLAM-v0.1-r is the 0.1 version of this model series, designed for research purposes and compatible with VLLM and FastChat platforms.

TeamGPT is the world's first AI-powered office, offering an AI-driven workspace that includes intelligent suggestions, key roles, and intelligent agents. Through features such as analyzing large datasets, personalized recommendations, and workflow optimization, TeamGPT can help users make smarter decisions, provide personalized experiences, streamline workflows, foster team collaboration, and achieve cost savings. TeamGPT aggregates various AI tools to provide users with a one-stop service.