Alternatives to Agent Development Kit (ADK)
Compare Agent Development Kit (ADK) alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Agent Development Kit (ADK) in 2026. Compare features, ratings, user reviews, pricing, and more from Agent Development Kit (ADK) competitors and alternatives in order to make an informed decision for your business.
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Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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StackAI
StackAI
StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls • Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing • Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise -
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Cognigy.AI
NiCE Cognigy
NiCE Cognigy delivers AI that works – fast, human, and built for real-world scale. As part of NiCE, a global leader in customer experience technology, we combine Generative and Conversational AI with orchestration, tools, and enterprise integrations to power Agentic AI. The result? Smarter automation, better service, and instant resolution across every channel. NiCE Cognigy’s AI Agents Supercharge Your Customer Service -Industry-specific pre-trained AI Agents -Multilingual call and chat support (100+ languages) -Seamless integration with existing enterprise systems -Leverages memory and context for hyper-personalized interactions -Absorbs enterprise knowledge to accurately answer any customer query -Real-time assistance and actionable service insights for human agents Business Impact for our Customers: -30% CSAT improvement -70% AHT reduction -99.5% Faster response time -99% Routing accuracy -
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Botpress
Botpress
The Leading Conversational AI Platform for Enterprise Automation. Botpress is a flexible, fully on-premise conversational platform for enterprises to automate conversations & workflows. Our NLU technology significantly outperforms the competitors and leads to much higher levels of customer satisfaction. Built-in collaboration with large enterprises. Whether you are a Bank or the National Defence, we got you covered. Botpress has been battle-tested by thousands of developers. You can trust it's been proven to be flexible, secure and highly scalable. With Botpress, you won’t need to hire PhD’s for your conversational projects. Our job is to keep track of the latest state-of-the-art research papers in the various fields of NLP, NLU & NDU and to deliver that in a product that non-technical people can use seamlessly. It just works. -
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Vercel AI SDK
Vercel
The Vercel AI SDK is a free, open source TypeScript toolkit from the creators of Next.js that gives developers unified, high-level primitives to build AI-powered features quickly across any model provider by changing a single line of code. It abstracts common complexities like streaming responses, multi-turn tool execution, error handling and recovery, and model switching while remaining framework-agnostic so builders can go from idea to working application in minutes. With a unified provider API, developers can generate typed objects, compose generative UIs, and deliver instant, streamed AI responses without reinventing plumbing, and the SDK includes documentation, cookbooks, a playground, and community-driven extensibility to accelerate development. It handles the hard parts under the hood while exposing enough control to get under the hood when needed, making integration with multiple LLMs seamless.Starting Price: Free -
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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 -
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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 -
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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 -
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Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
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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. -
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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 -
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Teradata Enterprise AgentStack
Teradata
Teradata Enterprise AgentStack is an integrated platform for building, deploying, and governing enterprise-grade autonomous AI agents that connect to trusted data and analytics, helping organizations move from experimentation to production-ready agentic AI with enterprise-level control. It unifies capabilities to support the full agent lifecycle; AgentBuilder accelerates the creation of intelligent agents using no-code and pro-code tools that integrate with Teradata Vantage and open-source frameworks; the Enterprise MCP delivers secure, context-rich access to governed enterprise data and curated prompts for agent intelligence; AgentEngine provides scalable execution of agents with consistent memory and reliability across hybrid environments; and AgentOps centralizes monitoring, governance, compliance, auditability, and policy enforcement so agents operate within defined guardrails. -
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Giselle
Giselle
Giselle is a software platform that creates powerful AI Agents through a visually intuitive, node-based interface, allowing you to link multiple LLMs and data sources so they can work together like members of a team. These Agents automate essential tasks such as market research, pull request reviews, and documentation, freeing human collaborators to focus on creative problem-solving. By visually connecting nodes that represent different AI functions or data channels, even sophisticated workflows become easy to build and maintain, much like game engines that transform complex processes into manageable systems. Through this approach, Giselle introduces a multi-agent orchestration that continuously evolves your documentation, accelerates product development, and integrates smoothly with GitHub to streamline your day-to-day engineering routines.Starting Price: $20/month/user -
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IBM watsonx Orchestrate is a generative AI and automation solution that empowers businesses to automate tasks and simplify complex processes. With a catalog of prebuilt applications and skills, along with a conversational chat interface, it enables the design of scalable AI assistants and agents to automate repetitive tasks and streamline operations. The platform features a next-generation, low-code builder studio for creating and deploying large language model-powered assistants, guided by a natural language interface for efficient development. The Skills Studio allows teams to build automation using data, decisions, and workflows, integrating existing technology investments with AI assistants. Thousands of prebuilt skills facilitate quick integration with existing systems and applications. Orchestrate's LLM-based routing and orchestration capabilities provide a user-friendly experience, enabling quick engagement with AI agents to accomplish tasks.
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ServiceNow AI Agents
ServiceNow
ServiceNow's AI Agents are autonomous systems embedded within the Now Platform, designed to perform repetitive tasks traditionally handled by humans. These agents interact with their environment to collect data, make decisions, and execute tasks, enhancing efficiency over time. Leveraging domain-specific large language models and a robust reasoning engine, they possess a deep understanding of business contexts, enabling continuous improvement in outcomes. Operating natively across workflows and data systems, AI Agents facilitate end-to-end automation, boosting team productivity by orchestrating workflows, integrations, and actions throughout the enterprise. Organizations can deploy prebuilt AI agents or develop custom agents tailored to specific needs, all functioning seamlessly on the Now Platform. This integration allows employees to focus on more strategic initiatives by automating routine tasks. -
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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 -
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Oracle AI Agent Studio
Oracle
Oracle AI Agent Studio is a comprehensive platform within the Oracle Fusion Cloud Applications Suite that enables customers and partners to create, extend, deploy, and manage AI agents and agent teams across the enterprise. Available at no additional cost, the studio provides easy-to-use tools, including advanced testing, robust validation, and built-in security, facilitating the customization of AI agents to address complex business needs and enhance productivity. Key features include agent template libraries with pre-built templates and natural language prompts for various business scenarios, agent team orchestration for coordinating multiple agents and human collaborators on complex tasks, and agent extensibility allowing modification of over 50 pre-packaged Oracle Fusion Applications AI agents by adding documents, tools, prompts, or APIs to meet specific industry and business requirements. -
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Adobe Experience Platform Agent Orchestrator powers AI agents to accelerate customer experience orchestration. These purpose-built Experience Platform Agents, on their own, or in conjunction with third-party agents—amplify your teams' capacity to deliver personalization at scale. They can also be customized, letting your developers extend customer experience capabilities to meet the needs of your organization. Empower customer experience teams, including marketers, data analysts, and IT, with intelligent agents that boost productivity, provide insights for improved decision-making, and help deliver on key business objectives. Help web teams optimize speed, site engagement, traffic, and security at scale with the Site Optimization Agent. Power on-brand content creation across the organization with the Content Production Agent.
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Emergence Orchestrator
Emergence
Emergence Orchestrator is an autonomous meta-agent designed to coordinate and manage interactions between AI agents across enterprise systems. It enables multiple autonomous agents to work together seamlessly, handling sophisticated workflows that span modern and legacy software platforms. The Orchestrator empowers enterprises to manage and coordinate multiple autonomous agents at runtime across various domains, facilitating use cases such as supply chain management, quality assurance testing, research analysis, and travel planning. It handles tasks like workflow planning, compliance, data security, and system integrations, freeing teams to focus on strategic priorities. Key features include dynamic workflow planning, optimal task delegation, agent-to-agent communication, an agent registry cataloging various agents, a skills library for task-specific capabilities, and customizable compliance policies. -
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Thread AI
Thread AI
Thread AI’s Lemma is a composable AI orchestration platform that lets organizations build, connect, and manage secure, scalable AI-powered workflows and agents to automate complex, mission-critical processes without reinventing infrastructure. It provides builder-friendly interfaces, low-code building blocks, SDKs and APIs for engineering teams, and centralized observability and traceability for all workflows, enabling drag-and-drop creation of reusable AI “Workers” that integrate models, functions, and data from structured or unstructured sources. Lemma prioritizes security and compliance with enterprise-grade safeguards, including AES-256 encryption at rest, TLS in transit, governance controls, and configurable workflow guardrails to strip or redact sensitive data, while supporting on-cloud or on-premise deployment and automatic vulnerability scanning. -
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OpenServ
OpenServ
OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future. -
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Invicta AI
Invicta AI
Orchestrate AI agent teams with Mixture of Agents (MoE) approach. Create specialised AI workers with unique knowledge, LLMs, triggers and tools. Scale work with compute, not headcount. Automate complex workflows effortlessly—no coding required.Starting Price: $0 -
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Automation Anywhere
Automation Anywhere
Automation Anywhere is the leader in Agentic Process Automation (APA), putting AI to work across organizations. The company’s platform is powered with specialized AI agents, generative AI, and offers process discovery, RPA end-to-end process orchestration, document processing and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, improve customer experiences and create new revenue streams. The company is guided by its vision to fuel the future of work by unleashing human potential through Agentic AI-powered automation.Starting Price: $750.00 -
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Microsoft Copilot Studio
Microsoft
Microsoft Copilot Studio is a comprehensive platform that enables users to create and manage AI-driven agents tailored to specific business needs. Utilizing low-code and generative AI capabilities, it allows for the design of agents that can access internal knowledge bases, execute actions through a wide array of data connectors, and operate autonomously to enhance productivity. These agents can be seamlessly deployed across various channels, including Microsoft 365 applications, internal websites, and mobile apps, ensuring integration into existing workflows. Copilot Studio also offers robust governance features, providing IT departments with centralized control over usage, analytics, and security policies.Starting Price: $200 per month -
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Agent2Agent (A2A)
Google
Agent2Agent (A2A) is a protocol developed by Google to enable seamless communication between AI agents. It facilitates the transfer of knowledge and tasks between different AI systems, allowing them to collaborate and execute complex workflows. A2A aims to enhance interoperability between AI agents, enabling more sophisticated, multi-agent systems that can perform tasks autonomously across various platforms and services.Starting Price: Free -
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PubSub+ Platform
Solace
Solace PubSub+ Platform helps enterprises design, deploy and manage event-driven systems across hybrid and multi-cloud and IoT environments so they can be more event-driven and operate in real-time. The PubSub+ Platform includes the powerful PubSub+ Event Brokers, event management capabilities with PubSub+ Event Portal, as well as monitoring and integration capabilities all available via a single cloud console. PubSub+ allows easy creation of an event mesh, an interconnected network of event brokers, allowing for seamless and dynamic data movement across highly distributed network environments. PubSub+ Event Brokers can be deployed as fully managed cloud services, self-managed software in private cloud or on-premises environments, or as turnkey hardware appliances for unparalleled performance and low TCO. PubSub+ Event Portal is a complimentary toolset for design and governance of event-driven systems including both Solace and Kafka-based event broker environments. -
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Exponential AI Enso
Exponential AI
Our decision intelligence platform, Enso, simplifies building, orchestrating and managing decision agents at scale. Enso comes with prebuilt decision agents which can easily be assembled to build decision intelligence solutions that continuously improve with more data, insights and decisions. Decision agents are intelligent digital workers that can be easily trained to make decision like humans. Agents can be trained to become experts and continuously learn from decision they have made and the feedback they receive to continuously improve decision making across your processes. Enso Canvas is a visual drag and drop studio that simplifies building, training, orchestrating and deploying decision agents in solutions. Canvas provides superior extensibility across all components enabling you to work and train and deploy decision agents using your data, your models into your processes. -
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FloTorch
FloTorch
FloTorch is an enterprise platform designed for teams to securely and rapidly build, deploy, and scale agentic workflows. It accelerates the journey from prototyping to production by providing highly scalable, pluggable endpoints. The platform incorporates built-in observability, evaluation, and automated request routing to ensure that agents are performant and optimized for cost, latency, and throughput. With FloTorch you can Evaluate and optimize your workflows against your own specific performance metrics for cost, latency, and throughput. Use agentic assets in multiple ways—from no-code interfaces to SDKs and assistants. Plug and play models seamlessly without changing your existing workflows Gain full visibility with built-in observability and tracing -
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ReByte
RealChar.ai
Action-based orchestration to build complex backend agents with multiple steps. Working for all LLMs, build fully customized UI for your agent without writing a single line of code, serving on your domain. Track every step of your agent, literally every step, to deal with the nondeterministic nature of LLMs. Build fine-grain access control over your application, data, and agent. Specialized fine-tuned model for accelerating software development. Automatically handle concurrency, rate limiting, and more.Starting Price: $10 per month -
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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 -
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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 -
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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 -
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Claude Managed Agents
Anthropic
Claude Managed Agents is a pre-built, configurable agent system from Anthropic designed to run long-running, asynchronous tasks on managed infrastructure without requiring developers to build their own agent loops. It acts as a complete “agent harness,” allowing developers to define goals while the system handles execution, orchestration, and state management behind the scenes. Unlike direct model prompting, which requires step-by-step interaction, Managed Agents are designed for tasks that unfold over time, such as research, automation, or multi-step workflows, where the agent can continue working independently after being started. It supports advanced capabilities such as multi-agent orchestration, where a primary agent can coordinate specialized sub-agents that operate in parallel with isolated contexts, improving both speed and output quality. -
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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 -
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UiPath Maestro
UiPath
UiPath Agentic Orchestration is the orchestration layer of the UiPath Platform that connects and coordinates AI agents, robots, APIs, processes, and people to execute complex, long-running enterprise workflows end-to-end with governance, visibility, and continuous optimization. It advances beyond traditional automation by uniting generative AI-driven agents, RPA bots, and human intervention within clearly defined processes, enabling real-time collaboration, dynamic decision making, and proactive problem solving across systems and unstructured data. It provides unified orchestration, process modelling (including BPMN), integration across third-party systems, and monitoring so organizations can oversee execution, manage exceptions, and drive continuous improvement using data-driven insights. With built-in governance, compliance controls, and analytics, Agentic Orchestration simplifies managing distributed automation at scale while ensuring reliability. -
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Skymel
Skymel
Skymel is a cloud-native AI orchestration platform built around its real-time Orchestrator Agent (OA) and companion AI assistant, ARIA. The Orchestrator Agent enables both fully automatic runtime agent creation and developer-controlled dynamic agents that seamlessly integrate across any device, cloud, or neural network architecture. It leverages NeuroSplit’s distributed-compute technology to optimize inference, automatically routing each request through the ideal model and execution environment (on-device, cloud, or hybrid), unifying error handling, and reducing API costs by 40–95% while improving performance. On top of OA, Skymel ARIA delivers a single, synthesized answer to any query by orchestrating ChatGPT, Claude, Gemini, and other leading AI models in real-time, eliminating manual prompt chaining and subscription juggling. -
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FastAgency
FastAgency
FastAgency is an open source framework designed to accelerate the deployment of multi-agent AI workflows from prototype to production. It provides a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows. Currently, it supports the AutoGen framework, with plans to extend support to CrewAI, Swarm, and LangGraph in the future. Developers can easily switch between frameworks, choosing the best one for their project's specific needs. FastAgency also features a common programming interface that enables the development of core workflows once and reuse them across various user interfaces without rewriting code.Starting Price: Free -
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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. -
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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 -
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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 -
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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 -
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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 -
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HelpNow Agentic AI Platform
Bespin Global
Bespin Global’s HelpNow Agentic AI Platform is an enterprise-grade AI agent automation and orchestration platform that lets organizations rapidly create, deploy, and manage autonomous AI agents tailored to real business workflows without deep coding, using a visual builder (Agentic Studio) and centralized portal to design single or multi-agent workflows, integrate with existing systems via APIs and connectors, and monitor performance in real time with an Agent Control Tower for governance, policy enforcement, and quality oversight; it supports LLM orchestration, multimodal inputs (text, voice, STT/TTS), and flexible deployment across cloud environments (AWS, GCP, Azure, on-premises) with connectivity to internal data, documents, and business processes so agents can act on context-rich enterprise information. It combines tools for agent lifecycle management, real-time observability, integration with voice and document processing, and enterprise governance. -
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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. -
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AI Hive
AI Hive
AI Hive is an enterprise AI agent platform designed to help organizations build, orchestrate, and govern intelligent AI agents across their entire business ecosystem. The platform enables companies to deploy scalable AI solutions securely while maintaining full control over data, governance, and compliance requirements. AI Hive allows enterprises to integrate AI agents with existing systems, data sources, and enterprise tools to automate workflows and improve operational efficiency. Through its marketplace, organizations can access ready-made AI agents built for various industries, including finance, healthcare, manufacturing, and legal services. These agents can handle tasks such as contract analysis, fraud detection, supply chain optimization, and customer support automation. The platform is designed to help businesses move beyond AI experimentation and successfully deploy production-ready AI solutions.Starting Price: $29/month -
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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 -
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MetaGPT
MetaGPT
The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo Assign different roles to GPTs to form a collaborative software entity for complex tasks. MetaGPT takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc. Internally, MetaGPT includes product managers / architects / project managers / engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.Starting Price: Free -
48
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 -
49
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 -
50
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
