Alternatives to AG-UI
Compare AG-UI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to AG-UI in 2026. Compare features, ratings, user reviews, pricing, and more from AG-UI competitors and alternatives in order to make an informed decision for your business.
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1
assistant-ui
assistant-ui
assistant-ui is an open source React toolkit for production AI chat experiences, designed to bring the UX of ChatGPT into your own app. It helps developers create beautiful, enterprise-grade AI chat interfaces in minutes for React, React Native, and terminal applications. Whether you are building a ChatGPT clone, a customer support chatbot, an AI assistant, or a complex multi-agent application, assistant-ui provides frontend primitive components and state management layers so you can focus on what makes your application unique. It includes instant chat UI with pre-built, beautiful, customizable chat interfaces out of the box, making it easy to quickly iterate on an idea. Its chat state management is optimized for streaming responses, interruptions, retries, multi-turn conversations, and efficient rendering. assistant-ui is built for high performance, with optimized rendering and a minimal bundle size to keep AI chat interfaces responsive.Starting Price: $50 per month -
2
CopilotKit
CopilotKit
CopilotKit is an enterprise-grade agentic frontend stack designed to help developers build AI-powered applications with generative user interfaces. The platform enables seamless integration between user-facing applications and agentic backends through its AG-UI protocol, which supports bi-directional communication. It provides tools and SDKs for modern frameworks like React, Angular, and Next.js, allowing developers to quickly implement AI features. CopilotKit supports generative UI, enabling AI agents to dynamically render and update interface components in real time. The platform also includes features like chat components, conversation threading, and persistent state management for maintaining context across sessions. Developers can connect their preferred AI models, frameworks, and agents without being locked into a specific ecosystem.Starting Price: $39/developer/month -
3
OpenAgents
OpenAgents
OpenAgents is an open source framework and platform for building, connecting, and deploying networks of AI agents that can discover, communicate, collaborate, and solve problems together rather than operating in isolation, enabling developers to launch and join agent communities that work at scale and share resources seamlessly. It provides infrastructure for AI agent networks where each network acts as a self-contained community with peer discovery, message passing, and coordinated collaboration over flexible protocols such as HTTP, WebSocket, and gRPC, and is designed to be protocol-agnostic and compatible with popular large language model providers and agent frameworks to support diverse deployment scenarios. Users can build their own agents with simple configurations or integrate custom logic and tools, connect them to one or more networks, and manage interactions using OpenAgents’ standard interfaces.Starting Price: Free -
4
TF-Agents
Tensorflow
TensorFlow Agents (TF-Agents) is a comprehensive library designed for reinforcement learning in TensorFlow. It simplifies the design, implementation, and testing of new RL algorithms by providing well-tested modular components that can be modified and extended. TF-Agents enables fast code iteration with good test integration and benchmarking. It includes a variety of agents such as DQN, PPO, REINFORCE, SAC, and TD3, each with their respective networks and policies. It also offers tools for building custom environments, policies, and networks, facilitating the creation of complex RL pipelines. TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole. -
5
Smolagents
Smolagents
Smolagents is an AI agent framework developed to simplify the creation and deployment of intelligent agents with minimal code. It supports code-first agents where agents execute Python code snippets to perform tasks, offering enhanced efficiency compared to traditional JSON-based approaches. Smolagents integrates with large language models like those from Hugging Face, OpenAI, and others, enabling developers to create agents that can control workflows, call functions, and interact with external systems. The framework is designed to be user-friendly, requiring only a few lines of code to define and execute agents. It features secure execution environments, such as sandboxed spaces, for safe code running. Smolagents also promotes collaboration by integrating deeply with the Hugging Face Hub, allowing users to share and import tools. It supports a variety of use cases, from simple tasks to multi-agent workflows, offering flexibility and performance improvements. -
6
Universal Commerce Protocol (UCP)
Universal Commerce Protocol (UCP)
The UCP and AP2 documentation describes how the Universal Commerce Protocol (UCP) integrates with the Agent Payments Protocol (AP2) to support secure, verifiable transactions initiated by AI agents or platforms on behalf of users, making it possible for commerce systems to handle discovery, checkout, and payment without intermediaries. UCP is fully compatible with AP2, which acts as the trust layer for agent-led transactions by requiring a secure, cryptographically verifiable exchange of intent and authorization between platforms and businesses using Verifiable Digital Credentials (VDCs); this ensures businesses receive signed checkout commitments that can’t be altered mid-flow and platforms issue proofs of payment authorization tied specifically to a cart state, reducing fraud and making transactions final and authentic. -
7
AgentWorks
Synergetics.ai
AgentWorks is a comprehensive suite designed to enable autonomous AI agents to operate across enterprise boundaries, interact securely, and conduct transactions independently. It brings together core components including Agent ID, which provides identity, verification, authentication and authorization for AI agents; AgentRegistry, which supports registration, discovery and Know-Your-Agent (KYA) verification; AgentTalk, a patented protocol for secure agent-to-agent communication and transactions; AgentConnect, enabling agents to connect to websites, metaverses and digital ecosystems; AgentWallet, a wallet infrastructure where agents can store their Agent ID, digital assets and currencies (available both as a mobile wallet for human owners and an embedded wallet managed by agents themselves); and AgentWizard, a tool for assigning unique Agent IDs, registering agents and provisioning wallets. AgentWorks supports agent-to-agent transactions in real-world use cases.Starting Price: $49 per month -
8
AgentSea
AgentSea
AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.Starting Price: Free -
9
AgentScope
AgentScope
AgentScope is an AI-driven agent observability and operations platform that provides visibility, control, and performance analytics for autonomous AI agents across production workloads. It enables engineering and DevOps teams to monitor, diagnose, and optimize complex multi-agent applications in real time by capturing detailed telemetry on agent actions, decisions, resource usage, and outcome quality. With rich dashboards and timelines, AgentScope helps teams trace execution flows, identify bottlenecks, and understand how agents interact with external systems, APIs, and data sources, improving debugging and reliability for autonomous workflows. It supports customizable alerting, log aggregation, and structured event views so teams can quickly surface anomalous behavior or errors across distributed agent fleets. In addition to real-time monitoring, AgentScope provides historical analysis and reporting that help teams measure performance trends, model drift, etc.Starting Price: Free -
10
OpenAI Agents SDK
OpenAI
The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.Starting Price: Free -
11
Agno
Agno
Agno is a lightweight framework for building agents with memory, knowledge, tools, and reasoning. Developers use Agno to build reasoning agents, multimodal agents, teams of agents, and agentic workflows. Agno also provides a beautiful UI to chat with agents and tools to monitor and evaluate their performance. It is model-agnostic, providing a unified interface to over 23 model providers, with no lock-in. Agents instantiate in approximately 2μs on average (10,000x faster than LangGraph) and use about 3.75KiB memory on average (50x less than LangGraph). Agno supports reasoning as a first-class citizen, allowing agents to "think" and "analyze" using reasoning models, ReasoningTools, or a custom CoT+Tool-use approach. Agents are natively multimodal and capable of processing text, image, audio, and video inputs and outputs. The framework offers an advanced multi-agent architecture with three modes, route, collaborate, and coordinate.Starting Price: Free -
12
Koog
JetBrains
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.Starting Price: Free -
13
Lyzr
Lyzr AI
Lyzr Agent Studio is a low-code/no-code platform for enterprises to build, deploy, and scale AI agents with minimal technical complexity. Built on Lyzr's robust Agent Framework - the first and only agent framework to have safe and responsible AI natively integrated into the core agent architecture, this platform allows you to build AI Agents while keeping enterprise-grade safety and reliability in mind. The platform allows both technical and non-technical users to create AI-powered solutions that drive automation, improve operational efficiency, and enhance customer experiences—without the need for extensive coding expertise. Whether you're deploying AI agents for Sales, Marketing, HR, or Finance, or building complex, industry-specific applications for sectors like BFSI, Lyzr Agent Studio provides the tools to create agents that are both highly customizable and compliant with enterprise-grade security standards.Starting Price: $19/month/user -
14
CrewAI
CrewAI
CrewAI is a leading multi-agent platform that enables organizations to streamline workflows across various industries by building and deploying automated processes using any Large Language Model (LLM) and cloud platform. It offers a comprehensive suite of tools, including a framework and UI Studio, to facilitate the rapid development of multi-agent automations, catering to both coding professionals and those seeking no-code solutions. The platform supports flexible deployment options, allowing users to move their created 'crews'—teams of AI agents—to production with confidence, utilizing powerful tools for different deployment types and autogenerated user interfaces. CrewAI also provides robust monitoring capabilities, enabling users to track the performance and progress of their AI agents on both simple and complex tasks. Additionally, it offers testing and training tools to continually enhance the efficiency and quality of outcomes produced by these AI agents. -
15
Microsoft Agent Framework
Microsoft
Microsoft Agent Framework is an open source SDK and runtime designed to help developers build, orchestrate, and deploy AI agents and multi-agent workflows using languages such as .NET and Python. It combines the simple agent abstractions of AutoGen with the enterprise-grade capabilities of Semantic Kernel, including session-based state management, type safety, middleware, telemetry, and broad model and embedding support, creating a unified platform for both experimentation and production use. It introduces graph-based workflows that give developers explicit control over how multiple agents interact, execute tasks, and coordinate complex processes, enabling structured orchestration across sequential, concurrent, or branching scenarios. It supports long-running and human-in-the-loop workflows through robust state management, allowing agents to maintain context, reason through multi-step problems, and operate continuously over time.Starting Price: Free -
16
Strands Agents
Strands Agents
Strands Agents is an open-source framework designed to help developers build controllable and flexible AI agents using Python and TypeScript. It enables users to create agents by defining tools as simple functions, eliminating the need for complex workflows or orchestration pipelines. The SDK works with any model and cloud provider, giving developers full freedom in how they deploy and scale their agents. It introduces a streamlined agent loop where the model handles reasoning while developers maintain control through code. Features like steering hooks allow developers to validate and guide agent behavior before and after actions are taken. The platform also includes built-in capabilities such as memory management, observability, and evaluation tools. Overall, Strands Agents SDK simplifies agent development while improving reliability, control, and performance.Starting Price: Free -
17
Upsonic
Upsonic
Upsonic is an open source framework that simplifies AI agent development for business needs. It enables developers to build, manage, and deploy agents with integrated Model Context Protocol (MCP) tools across cloud and local environments. Upsonic reduces engineering effort by 60-70% with built-in reliability features and service client architecture. It offers a client-server architecture that isolates agent applications, keeping existing systems healthy and stateless. It provides more reliable agents, scalability, and a task-oriented structure needed for completing real-world cases. Upsonic supports autonomous agent characterization, allowing self-defined goals and backgrounds, and integrates computer-use capabilities for executing human-like tasks. With direct LLM call support, developers can access models without abstraction layers, completing agent tasks faster and more cost-effectively. -
18
Agent Squad
Amazon
Agent Squad is a flexible and powerful open source framework developed by AWS for managing multiple AI agents and handling complex conversations. It enables multi-agent orchestration, allowing seamless coordination and leveraging of multiple AI agents within a single system. It offers dual language support, being fully implemented in both Python and TypeScript. Intelligent intent classification dynamically routes queries to the most suitable agent based on context and content. Agent Squad supports both streaming and non-streaming responses from different agents, ensuring flexible agent responses. It maintains and utilizes conversation context across multiple agents for coherent interactions. The architecture is extensible, allowing easy integration of new agents or customization of existing ones to fit specific needs. Agent Squad can be deployed universally, running anywhere from AWS Lambda to local environments or any cloud platform.Starting Price: Free -
19
Phidata
Phidata
Phidata is an open source platform for building, deploying, and monitoring AI agents. It enables users to create domain-specific agents with memory, knowledge, and external tools, enhancing AI capabilities for various tasks. The platform supports a range of large language models and integrates seamlessly with different databases, vector stores, and APIs. Phidata offers pre-configured templates to accelerate development and deployment, allowing users to quickly go from building agents to shipping them into production. It includes features like real-time monitoring, agent evaluations, and performance optimization tools, ensuring the reliability and scalability of AI solutions. Phidata also allows developers to bring their own cloud infrastructure, offering flexibility for custom setups. The platform provides robust support for enterprises, including security features, agent guardrails, and automated DevOps for smoother deployment processes.Starting Price: Free -
20
LangGraph
LangChain
Gain precision and control with LangGraph to build agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. LangGraph's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to roll back and take a different action to correct course.Starting Price: Free -
21
AgentKit
OpenAI
AgentKit is a unified suite of tools designed to streamline the process of building, deploying, and optimizing AI agents. It introduces Agent Builder, a visual canvas that lets developers compose multi-agent workflows via drag-and-drop nodes, set guardrails, preview runs, and version workflows. The Connector Registry centralizes the management of data and tool integrations across workspaces and ensures governance and access control. ChatKit enables frictionless embedding of agentic chat interfaces, customizable to match branding and experience, into web or app environments. To support robust performance and reliability, AgentKit enhances its evaluation infrastructure with datasets, trace grading, automated prompt optimization, and support for third-party models. It also supports reinforcement fine-tuning to push agent capabilities further.Starting Price: Free -
22
Agent Development Kit (ADK)
Google
The Agent Development Kit (ADK) is a flexible, open-source framework for building and deploying AI agents. It is tightly integrated with Google’s ecosystem, including Gemini models, and supports popular large language models (LLMs). ADK simplifies the development of both simple and complex AI agents, providing a structured environment for building dynamic workflows and multi-agent systems. With built-in tools for orchestration, deployment, and evaluation, ADK helps developers create scalable, modular AI solutions that can be easily deployed on platforms like Gemini Enterprise Agent Platform or Cloud Run.Starting Price: Free -
23
Notte
Notte
Notte is a full-stack web AI agents framework that allows you to develop, deploy, and scale your own agents, all with a single API. It transforms the internet into an agent-friendly environment, turning websites into structured, navigable maps described in natural language. Notte provides on-demand headless browser instances with built-in and custom proxy configurations, CDP, cookie integration, and session replay. It enables the execution of autonomous agents powered by LLMs to solve complex tasks on the web. For scenarios requiring more precise control, Notte offers a fully functional web browser interface for LLM agents. It includes a secure vault and credentials management system that allows you to safely share authentication details with AI agents. Notte's perception layer turns the internet into an agent-friendly environment by converting websites into structured maps described in natural language, ready to be digested by an LLM with less effort.Starting Price: $25 per month -
24
OpenMail
OpenMail
OpenMail gives AI agents a dedicated email address. Provision an inbox with one CLI command or API call, each agent gets its own address, not a shared inbox or forwarding alias. Inbound email arrives instantly via webhook or WebSocket, parsed and threaded, with no polling required. Replies land in context so agents can respond without any new interface on the human side. Attachments: PDFs, CSVs, images, spreadsheets, Word documents are automatically converted to LLM-ready text; the agent never touches raw MIME. The API is small by design: one call to provision, standard calls to send, webhooks or WebSocket to receive. Integrates with LangChain, n8n, Make, Vercel AI SDK, and OpenClaw. Custom domains supported. Runs in the EU, GDPR-covered, 99.9% uptime SLA, SOC 2 in progress.Starting Price: 9 EUR -
25
OpenAGI
OpenAGI
OpenAGI is a developer-focused framework designed to help teams build autonomous, human-like AI agents capable of planning, reasoning, and executing tasks independently. It bridges the gap between traditional LLM applications and fully autonomous agents by offering tools for decision-making, continual learning, and long-term task execution. The platform allows developers to create specialized agents for real-world use cases across industries such as education, finance, healthcare, and software development. With its flexible architecture, OpenAGI supports sequential, parallel, and dynamic communication patterns between agents. Developers can choose automated configuration generation or manually tailor every detail for complete customization. OpenAGI represents an early but significant step toward making powerful, adaptive agent technology accessible to everyone.Starting Price: Free -
26
Langflow
Langflow
Langflow is a low-code AI builder designed to create agentic and retrieval-augmented generation applications. It offers a visual interface that allows developers to construct complex AI workflows through drag-and-drop components, facilitating rapid experimentation and prototyping. The platform is Python-based and agnostic to any model, API, or database, enabling seamless integration with various tools and stacks. Langflow supports the development of intelligent chatbots, document analysis systems, and multi-agent applications. It provides features such as dynamic input variables, fine-tuning capabilities, and the ability to create custom components. Additionally, Langflow integrates with numerous services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers can utilize pre-built components or code their own, enhancing flexibility in AI application development. The platform also offers a free cloud service for quick deployment and test -
27
PayOS
PayOS
PayOS is a payment infrastructure platform built specifically for the “agentic” economy, where AI agents and autonomous workflows complete commerce tasks. The system is designed as a card-native solution that enables developers and businesses to embed checkout, billing, and money movement into agentic workflows, supporting all major card networks and offering processor flexibility. It allows a card to be linked once and then used across agent-driven scenarios, while still providing human-in-the-loop controls, strong security (PCI-compliant), and full global network access. PayOS enables both push and pull payments, recurring billing, and autonomous money flows without the need for merchant re-integration. It supports tokenization and collaborations with networks like Mastercard and Visa Intelligent Commerce to open up agentic payment use cases at scale. -
28
Cua
Cua
Cua is a computer-use agent platform that lets AI agents see screens, click buttons, type, and run code just like a human across macOS, Windows, Linux, browsers, and mobile environments. It provides cloud-based, sandboxed desktops where agents can automate real software workflows without relying on APIs. Built on open-source Cua agents, the platform enables developers to build, run, and scale computer-use agents with precision and reliability. Cua supports multi-step tasks, structured outputs, and human-in-the-loop recovery for complex automation. Agents operate in fully isolated environments to ensure safety and reproducibility. Cua is designed to make AI interaction with real applications practical and scalable.Starting Price: $10/month -
29
Letta
Letta
Create, deploy, and manage your agents at scale with Letta. Build production applications backed by agent microservices with REST APIs. Letta adds memory to your LLM services to give them advanced reasoning capabilities and transparent long-term memory (powered by MemGPT). We believe that programming agents start with programming memory. Built by the researchers behind MemGPT, introduces self-managed memory for LLMs. Expose the entire sequence of tool calls, reasoning, and decisions that explain agent outputs, right from Letta's Agent Development Environment (ADE). Most systems are built on frameworks that stop at prototyping. Letta' is built by systems engineers for production at scale so the agents you create can increase in utility over time. Interrogate the system, debug your agents, and fine-tune their outputs, all without succumbing to black box services built by Closed AI megacorps.Starting Price: Free -
30
CAMEL-AI
CAMEL-AI
CAMEL-AI is the first LLM-based multi-agent framework and an open-source community dedicated to exploring the scaling laws of agents. It enables the creation of customizable agents using modular components tailored for specific tasks, facilitating the development of multi-agent systems that address challenges in autonomous cooperation. The framework serves as a generic infrastructure for various applications, including task automation, data generation, and world simulations. By studying agents on a large scale, CAMEL-AI.org aims to gain valuable insights into their behaviors, capabilities, and potential risks. The community emphasizes rigorous research, balancing urgency with patience, and encourages contributions that enhance infrastructure, improve documentation, and implement research ideas. The platform offers components such as models, tools, memory, and prompts to empower agents, and supports integrations with various external tools and services. -
31
EdgeVerve AI Next
EdgeVerve
EdgeVerve AI Next is a unified, scalable platform designed to drive business transformations through powerful agentic AI, generative AI, responsible AI, and multi-cloud capabilities. Built from the ground up to leverage the power of generative AI, the AI Next platform bridges silos in people, processes, data, and technology to drive transformation in business operations. It features robust agent lifecycle management, accelerated agent development with intuitive no-code/low-code interfaces, flexible orchestration frameworks, and an extensive tool library. EdgeVerve AI Next's adaptable AI architecture supports multiple AI models and frameworks within a secure enterprise environment. With a unified enterprise control tower, organizations can monitor, manage, and govern operations with real-time analytics. -
32
Mastra AI
Mastra AI
Mastra is a powerful TypeScript framework for building intelligent AI agents that can execute tasks, access knowledge bases, and maintain memory persistently within workflows. This framework simplifies the process of creating and deploying AI-powered agents by leveraging TypeScript’s capabilities to streamline development. With features like customizable agent instructions, memory, and task orchestration, Mastra provides developers with the tools to build and scale AI agents for various applications, from personal assistants to specialized domain experts.Starting Price: Free -
33
TEN
TEN
TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. With support for languages like Python, C++, and Go, it offers flexible deployment on both edge and cloud environments. Using components like graph-based workflow design, drag-and-drop UI (via TMAN Designer), and reusable extensions such as real-time avatars, RAG (Retrieval-Augmented Generation), and image generation, TEN enables highly customizable, scalable agent development with minimal code.Starting Price: Free -
34
Claude Agent SDK
Claude
The Claude Agent SDK is a developer toolkit that enables the creation of autonomous AI agents powered by Claude, allowing them to perform real-world tasks beyond simple text generation by interacting directly with files, systems, and tools. It provides the same underlying infrastructure used by Claude Code, including an agent loop, context management, and built-in tool execution, and is available for use in Python and TypeScript. With this SDK, developers can build agents that read and write files, execute shell commands, search the web, edit code, and automate complex workflows without needing to implement these capabilities from scratch. It maintains persistent context and state across interactions, enabling agents to operate continuously, reason through multi-step problems, take actions, verify results, and iterate until tasks are completed.Starting Price: Free -
35
Swarm
OpenAI
Swarm is an experimental, educational framework developed by OpenAI to explore ergonomic, lightweight multi-agent orchestration. It is designed to be scalable and highly customizable, making it suitable for scenarios involving a large number of independent capabilities and instructions that are challenging to encode into a single prompt. Swarm operates entirely on the client side and, like the Chat Completions API it utilizes, does not store state between calls. This stateless nature allows for the construction of scalable, real-world solutions without a steep learning curve. Swarm agents are distinct from assistants in the assistants API; they are named similarly for convenience but are otherwise completely unrelated. It includes examples demonstrating fundamentals such as setup, function calling, handoffs, and context variables, as well as more complex scenarios like a multi-agent setup for handling different customer service requests in an airline context.Starting Price: Free -
36
Semantic Kernel
Microsoft
Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.Starting Price: Free -
37
PydanticAI
Pydantic
PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire. PydanticAI also provides structured responses by leveraging Pydantic to validate model outputs, ensuring consistency. The framework includes a dependency injection system to support iterative development and testing, as well as the ability to stream LLM outputs for rapid validation. It is ideal for AI-driven projects that require flexible and efficient agent composition using standard Python best practices. We built PydanticAI with one simple aim: to bring that FastAPI feeling to GenAI app development.Starting Price: Free -
38
Layercode
Layercode
Layercode is a cloud-based developer platform that makes it easy to build production-ready, low-latency voice AI agents by handling the real-time infrastructure so you can focus on your agent’s logic; it manages WebSockets, voice activity detection, global edge deployment, and voice model integrations while giving you full control over how your agent thinks, speaks, and responds. It enables natural, fluid voice conversations with sub-second response times and human-like turn-taking, offers observability tools so you can inspect calls, latency, and failures in production, and fits naturally into modern TypeScript and Next.js stacks with simple CLI and SDK support so you can receive text and send text back. With Layercode, you can avoid vendor lock-in by hot-swapping leading voice and transcription model providers, maintain complete flexibility by plugging in your own AI agent backend, and deploy voice agents across web, mobile, and phone interfaces.Starting Price: $0.04 per minute -
39
Genspark
Genspark
Genspark is an AI-driven platform that empowers users to automate tasks and generate content with ease, including video production, image creation, and deep research. A standout feature is the Genspark Super Agent, which allows users to delegate tasks like selecting the perfect gifts, planning travel, making restaurant reservations, and even conducting detailed market research. Whether you need to create custom visuals, generate insightful reports, or plan complex trips, Genspark's Super Agent and specialized tools streamline the process, making high-quality outputs accessible without technical expertise.Starting Price: Free -
40
LangChain
LangChain
LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability. -
41
ACTAtek Agent
ACTAtek
ACTAtek Agent 2 is primarily used to download the event logs from the remote ACTAtek device in real-time and without any hassle. It saves time and administrative efforts in backing up the data from the ACTAtek to a central computer. ACTAtek Agent2 is a Web-based middleware to help poll out the event log data from remote ACTAtek device back to the backend database in real-time. This will save time and administrative efforts on backup the data from the ACTAtek to the backend database. The backend database which ACTAtek Agent2 support are MS SQL CE/ SQL /MySQL /TEXT&CSV files. This will enable the 3rd party software/application to be easily integrated with ACTAtek device in a minute. Support different databases, MS SQL CE/SQL/MySQL/TEXT&CSV files connection for easy integration with 3rd software/application. Web-Based application, and easy setup/configuration in minutes. -
42
Riff
Riff
Riff is an AI agent platform designed to automate complex business workflows across enterprise systems. It enables organizations to build and deploy AI agents that handle tasks like reconciliation, exception management, and decision-making. The platform integrates directly with tools such as ERP systems, Salesforce, ServiceNow, and data platforms. Riff allows businesses to move from manual processes to automated workflows in just a few weeks. It empowers domain experts within teams to build and manage AI agents without heavy engineering dependencies. The platform ensures enterprise-grade governance, security, and compliance from the start. Overall, Riff helps organizations improve efficiency and drive measurable business outcomes through AI automation.Starting Price: $49 per month -
43
AutoGen
Microsoft
An Open-Source Programming Framework for Agentic AI. AutoGen provides multi-agent conversation framework as a high-level abstraction. With this framework, one can conveniently build LLM workflows. AutoGen offers a collection of working systems spanning a wide range of applications from various domains and complexities. AutoGen supports enhanced LLM inference APIs, which can be used to improve inference performance and reduce cost.Starting Price: Free -
44
Oraczen
Oraczen
Oraczen is an AI-driven solution designed to help enterprises navigate complex systems by deploying agentic AI frameworks. These frameworks integrate seamlessly with existing infrastructures, facilitating tasks such as bridging data gaps, integrating legacy IT systems, and blending human-AI workflows. Oraczen emphasizes security with containerized environments that ensure data protection and compliance with industry standards. Its rapid deployment capabilities allow organizations to implement AI solutions within two weeks, enhancing operational efficiency across sectors like finance, supply chain, and healthcare. Oraczen fuses industry expertise and AI mastery with our Zen Platform to deploy AI agents that conquer enterprise complexity, bridging data gaps, integrating legacy IT, and blending human-AI design for seamless workflows in just 2 weeks. -
45
xpander.ai
xpander.ai
xpander.ai is a backend-as-a-service platform tailored for production-grade AI agents, offering developers a robust infrastructure that handles memory, tools, connectors, multi-agent workflows, triggering, state management, observability, and CI/CD pipelines without requiring infrastructure setup. Its visual AI agent workbench enables users to design, configure, simulate, test, and deploy agents interactively, complete with support for multi-agent collaboration, tool integrations, role-based access, and runtime governance. Developers can connect agents to SaaS or enterprise systems via AI-ready connectors, attach tool-compatible workflows, and monitor agent behavior with built-in observability and lifecycle tools. It supports deployment on hosted cloud infrastructure or within private VPCs, ensuring both agility and secure enterprise integration, and accelerates agent development from idea to production.Starting Price: $49 per month -
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Socket.IO
Socket.IO
In most cases, the connection will be established with WebSocket, providing a low-overhead communication channel between the server and the client. Rest assured! In case the WebSocket connection is not possible, it will fall back to HTTP long-polling. And if the connection is lost, the client will automatically try to reconnect. Scale to multiple servers and send events to all connected clients with ease. Socket.IO is a library that enables low-latency, bidirectional and event-based communication between a client and a server. It is built on top of the WebSocket protocol and provides additional guarantees like a fallback to HTTP long-polling or automatic reconnection. WebSocket is a communication protocol that provides a full-duplex and low-latency channel between the server and the browser. There are several Socket.IO server implementations available. And client implementations in most major languages. -
47
agnexus
agnexus
Agnexus is a platform for deploying, hosting, managing, and scaling Model Context Protocol (MCP) servers, which act as standardized interfaces that let AI agents such as Claude, ChatGPT, or other LLM-based systems reliably access real data sources and services so agents can perform real tasks with context. It provides one-click deployment of MCP servers by uploading code or connecting GitHub repositories and handles the infrastructure, configuration, and backend operations, so developers and teams don’t need to set up Docker, Kubernetes, or cloud DevOps manually. It is model-agnostic by design, meaning MCP servers deployed through Agnexus can work with any agent that implements MCP, and users get enterprise-grade hosting features such as auto-scaling, uptime SLAs, secure access keys with granular permissions, analytics, and monitoring for usage and performance.Starting Price: €29 per month -
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Google’s Agent Payments Protocol (AP2) is an open protocol designed together with over 60 payments, fintech, and tech companies (e.g., Mastercard, PayPal, Adyen, Coinbase, Etsy) to enable secure, agent-led transactions across platforms. It builds on earlier open standards like Agent2Agent (A2A) and the Model Context Protocol (MCP) to ensure that when an AI agent initiates or completes a payment on behalf of a user, three core requirements are met: authorization (proving the user explicitly gave permission for that specific purchase), authenticity (ensuring the agent’s intended purchase matches what the user meant), and accountability (clear audit trails and responsibility in case of errors or fraud). The protocol uses mandates, which are cryptographically signed digital contracts backed by verifiable credentials.
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49
008
008
008 Agent is an open source, event-driven, AI-powered softphone designed to revolutionize VoIP communication. It enables users to make calls effortlessly, seamlessly log call events and interactions, and transfer call data to preferred CRMs and tools. The platform offers features such as speech-to-text transcription, allowing users to transcribe calls into text and export them automatically into their CRM or other tools. Upcoming features include sentiment analysis to understand caller sentiment evolution throughout the call, summarization to condense information and provide key insights at a glance, and a programmable conversational agent infused with cutting-edge large language models like ChatGPT, allowing users to craft tailored interactions that cater to unique needs. 008 Agent is compatible with macOS, Windows, and Linux, and accessible via the web, making it a versatile solution for various professional needs.Starting Price: Free -
50
Kodey
Kodey
Kodey is a comprehensive AI-agent platform that lets users build, deploy, and manage autonomous AI agents without needing to write code. It offers a visual agent builder for non-technical users, enabling you to drag and drop components and connect workflows or data sources in minutes, plus full-support SDKs and APIs (e.g., Python, JavaScript, REST/GraphQL) for developers who want deeper customization. Once configured, agents run in secure, containerized environments and can be deployed to production via REST, WebSocket, or as embeddable web components; Kodey.ai automatically scales infrastructure to meet demand. It includes prebuilt integrations (databases, third-party tools, etc.), real-time monitoring and analytics, version control, and collaboration tools with role-based access control, all ensuring reliability, security, and maintainability in production workflows.Starting Price: $100 per month
