Discover AI agents built for Artificial Intelligence: Comprehensive directory of solutions with open-source code verified by AI agency professionals focused on the Artificial Intelligence sector.

Open-Source AI Agents for Artificial Intelligence

Hermes 3 is an open-source AI model developed by Nous Research, based on Meta's Llama 3.1 architecture. It features advanced long-term context retention, multi-turn conversation management, and enhanced roleplaying abilities. Fine-tuned on a dataset of primarily synthetic responses, Hermes 3 excels in reasoning, creativity, and adaptability to user prompts. The model is available in various parameter sizes, including 8B, 70B, and 405B, catering to diverse application needs.

Hermes 3

hermes-3

Open-source AI model with advanced reasoning, multi-turn conversation, and roleplaying capabilities.

Windows Agent Arena (WAA) is an open-source platform developed by Microsoft for evaluating multi-modal AI agents within a real Windows operating system environment. It provides a reproducible and realistic setting where agents can interact with various applications, tools, and web browsers, simulating typical user tasks. WAA includes over 150 diverse tasks across domains such as document editing, web browsing, system settings, coding, and media consumption. The platform supports scalable benchmarking, allowing parallel evaluations in Azure to expedite comprehensive assessments.

Windows Agent Arena

windows-agent-arena

Scalable platform for testing and benchmarking multi-modal AI agents on Windows OS.

SingularityNET is a blockchain-based platform that facilitates the development, sharing, and monetization of AI services through a decentralized marketplace. It allows developers to publish AI tools, and users to access a wide range of AI services using the native AGIX token. The platform promotes collaboration among AI agents, interoperability, and aims to advance Artificial General Intelligence (AGI).

SingularityNET

singularitynet

A decentralized platform enabling the creation, sharing, and monetization of AI services.

DeepSeek R1 is an open-source large language model (LLM) developed by the Chinese AI company DeepSeek. It is designed to excel in reasoning, math, coding, and problem-solving tasks. Released under the MIT license, it allows free access, modification, and commercialization, fostering collaboration and innovation. DeepSeek R1 has achieved remarkable benchmarks such as 97.3% on MATH-500 and 96.3% percentile on Codeforces, showcasing near-human performance in programming and logic-heavy tasks. Its unique training approach combines reinforcement learning (RL) and supervised fine-tuning (SFT), enabling it to learn autonomously while being cost-effective. DeepSeek R1 is a game-changer in democratizing AI development by making cutting-edge technology accessible to researchers, developers, and businesses worldwide.

DeepSeek R1

deepseek-r1

An open-source large language model excelling in reasoning, math, and coding tasks with MIT licensing for free use and modification.

Agenta is an open-source platform designed to assist developers and product teams in building robust AI applications powered by Large Language Models (LLMs). It provides integrated tools for prompt engineering, versioning, evaluation, and observability, all in one place. With Agenta, users can rapidly experiment with prompts, manage prompt versions, evaluate application performance, and monitor usage and quality. The platform supports various LLM workflows, including chain-of-prompts and Retrieval Augmented Generation (RAG), and is compatible with frameworks like Langchain and LlamaIndex. Agenta aims to accelerate the development cycle of LLM applications by facilitating collaboration between developers and non-developers, such as product managers or domain experts.

Agenta

agenta

An open-source LLMOps platform offering prompt engineering, evaluation, and observability tools for building robust LLM applications.

The Bee Agent Framework is an open-source toolkit developed by IBM for constructing, deploying, and managing powerful agentic workflows at scale. It simplifies the development of distributed agent-based systems by providing built-in messaging, task coordination, and integration with common networking protocols. The framework is designed to perform robustly with models like IBM Granite and Llama 3.x, and it supports features such as sandboxed code execution, memory optimization, and traceability. Its modular architecture allows for custom agent behavior, making it scalable for large, distributed networks. The Bee Agent Framework is part of a broader ecosystem that includes tools like Bee UI for visual interaction with agents and Bee Observe for telemetry collection and management.

Bee Agent Framework

bee-agent-framework

An open-source framework for building, deploying, and serving scalable agent-based workflows with various AI models.

Qwen-Agent is an open-source framework developed by Alibaba Cloud for building large language model (LLM) applications. It leverages the instruction-following, tool usage, planning, and memory capabilities of Qwen models. The framework provides components such as LLMs, prompts, and agents, along with example applications like Browser Assistant, Code Interpreter, and Custom Assistant. Qwen-Agent supports function calling, code interpretation, retrieval-augmented generation (RAG), and Chrome extensions, enabling developers to create intelligent agents for various complex tasks. The framework is designed to be modular and extensible, allowing for the integration of custom tools and rapid development of AI applications.

Qwen-Agent

qwen-agent

An open-source framework for developing LLM applications with instruction following, tool usage, planning, and memory capabilities.

Agency Swarm is an open-source framework developed to facilitate the creation and management of collaborative AI agents, referred to as 'swarms.' By enabling multiple agents with distinct roles and capabilities to work together, it aims to automate complex workflows within AI development and other applications. The framework provides tools for defining agent behaviors, managing inter-agent communication, and integrating with existing systems, thereby enhancing efficiency and scalability in AI-driven projects.

Agency Swarm

agency-swarm

An open-source AI agent orchestration framework designed to automate and streamline AI development processes through collaborative agent swarms.

Weaviate is an open-source vector database designed to facilitate the development of AI-native applications by providing efficient storage and retrieval of vector embeddings. It combines vector search with traditional keyword search techniques, allowing for precise and contextual data retrieval across various data modalities. With integrations for popular machine learning models and support for hybrid search, Weaviate empowers developers to create applications such as semantic search engines, recommendation systems, and chatbots. Its cloud-native architecture ensures scalability and flexibility, making it a preferred choice for both developers and enterprises aiming to leverage AI in their software solutions.

Weaviate

weaviate

An open-source, AI-native vector database enabling developers to build and scale AI-powered applications with advanced data retrieval capabilities.

Stability AI is a leading artificial intelligence company founded in 2019 by Emad Mostaque. It is renowned for developing open-source generative AI models that empower creators and developers worldwide. Their flagship product, Stable Diffusion, is a state-of-the-art text-to-image model capable of generating high-quality images from textual descriptions. Stability AI's mission is to make foundational AI technology accessible to all, fostering innovation across multiple domains such as image, audio, video, 3D, and language. The company offers a suite of models, including Stable Diffusion 3.5, Stable Video Diffusion, Stable Audio 2.0, and Stable LM 2 1.6B, catering to diverse creative and industrial applications.

Stability AI

stability-ai

An AI company specializing in open-source generative models across various modalities, including image, audio, and language.

smolagents is a streamlined, open-source library developed by Hugging Face that enables developers to create powerful AI agents with just a few lines of code. The library emphasizes simplicity, containing approximately a thousand lines of code, and offers first-class support for Code Agents—agents that write their actions in Python code. smolagents is compatible with a wide range of language models, including those from OpenAI, Anthropic, and models hosted on the Hugging Face Hub. To ensure secure code execution, it provides options for running code in sandboxed environments via E2B. The library also integrates with the Hugging Face Hub, allowing users to share and load tools seamlessly.

smolagents

A lightweight, open-source library by Hugging Face for building AI agents with minimal code, supporting various language models and secure code execution.

Story Foundation is a purpose-built Layer 1 blockchain platform that facilitates the tokenization and management of intellectual property (IP). By providing a secure and transparent environment, it enables AI agents to autonomously exchange, create, and monetize IP assets without human intervention. The platform introduces the Agent Transaction Control Protocol for Intellectual Property (Agent TCP/IP), allowing AI agents to execute legally binding contracts on-chain, fostering a decentralized marketplace for IP transactions. This innovation aims to empower creators and developers by providing programmable IP solutions that integrate seamlessly with AI-driven applications.

Story Foundation

story-foundation

A blockchain platform designed to tokenize and manage intellectual property (IP), enabling AI agents to autonomously exchange and monetize IP assets.

Open-Source AI Agents for "Artificial Intelligence" Industry