Alternatives to TEN
Compare TEN alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to TEN in 2026. Compare features, ratings, user reviews, pricing, and more from TEN competitors and alternatives in order to make an informed decision for your business.
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1
LM-Kit.NET
LM-Kit
LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer. -
2
IBM watsonx Assistant (Formerly Watson Assistant) is a market-leading enterprise conversational AI platform that allows you to build intelligent virtual and voice assistants that can provide customers with fast, consistent and accurate answers across any messaging platform, application, device or channel. Using artificial intelligence and large language models, watsonx Assistant learns from customer conversations, improving its ability to resolve issues the first time while removing the frustration of long wait times, tedious searches and unhelpful chatbots. Most chatbots try to mimic human interactions, frustrating customers when a misunderstanding arises. IBM watsonx Assistant is more than a chatbot. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct users to a human agent for more assistance. And since it can be deployed in any cloud or on-premises environment – smarter AI is finally available wherever you need it.Starting Price: $140 per month
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3
Ada
Ada.cx
Ada is the omnichannel AI platform for customer service - built to automate, scale, and elevate CX across channels with generative AI agents. Trusted by global brands like Square, Pinterest, Canva, and monday.com, Ada has powered 5.5B+ interactions since 2016. Its AI agents deliver always-on, multilingual support across voice, messaging, and email, resolving up to 83% of inquiries instantly. Eliminate wait times with natural AI Voice, deliver personalized service via AI Messaging, and automate 70% of email responses. Ada combines automation and intelligence with enterprise-grade control, transparency, and security (HIPAA, SOC2, GDPR). Own your AI strategy end-to-end - train agents with Playbooks, measure ROI through CSAT and KPIs, and integrate seamlessly via APIs. Discover how Ada reduces costs and improves response times without compromising quality. -
4
Dialogflow
Google
Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers. -
5
Kore.ai
Kore.ai
Kore.ai is an enterprise AI platform that enables organizations to build, deploy, manage, and optimize AI agents for customer service and employee productivity use cases. Its Agent Platform, known as Artemis, provides the foundation for creating AI-powered applications, intelligent workflows, and enterprise-grade automation solutions. The platform includes pre-built applications for industries such as banking, healthcare, retail, human resources, recruiting, and IT support. Organizations can also leverage AI agent builders, enterprise search, orchestration tools, and marketplace integrations to accelerate development and deployment. Kore.ai is designed to support large-scale enterprise environments with strong governance, administrative controls, and integration capabilities. By combining AI agents, automation, and business process intelligence, Kore.ai helps enterprises improve operational efficiency and customer experiences. -
6
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 -
7
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. -
8
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 -
9
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 -
10
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. -
11
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 -
12
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 -
13
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 -
14
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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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 -
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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. -
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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 -
18
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 -
19
Amazon Nova Sonic
Amazon
Amazon Nova Sonic is a state-of-the-art speech-to-speech model that delivers real-time, human-like voice conversations with industry-leading price performance. It unifies speech understanding and generation into a single model, enabling developers to create natural, expressive conversational AI experiences with low latency. Nova Sonic adapts its responses based on the prosody of input speech, such as pace and timbre, resulting in more natural dialogue. It supports function calling and agentic workflows to interact with external services and APIs, including knowledge grounding with enterprise data using Retrieval-Augmented Generation (RAG). It provides robust speech understanding for American and British English across various speaking styles and acoustic conditions, with additional languages coming soon. Nova Sonic handles user interruptions gracefully without dropping conversational context and is robust to background noise. -
20
Voiceflow
Voiceflow
Voiceflow is an AI customer experience platform that helps teams build, launch, and scale advanced AI agents for support, lead generation, and other customer-facing workflows. It gives product, CX, support, engineering, and enterprise teams tools to design intelligent workflows, deploy integrated agents, and improve agents over time without full rebuilds. The platform supports omnichannel experiences across web, phone, and mobile, allowing businesses to create consistent AI-powered conversations across customer touchpoints. Voiceflow includes an agent builder, deterministic workflows, global instructions, guardrails, APIs, functions, observability tools, and production environments for development, staging, and launch. Its Agentic Context Engine helps turn complex conversations into enriched customer experiences while supporting high-volume usage and low-latency voice interactions.Starting Price: $40 per editor per month -
21
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. -
22
Yellow.ai
Bitonic Technology Labs
Headquartered in San Mateo, Yellow.ai is a leading enterprise-grade Conversational AI Platform, enabling enterprises to unlock business potential at scale. The platform is trusted across 85+ countries by 1000+ enterprises, including Domino’s, Sephora, Hyundai, MG Motors, Biogen International, Edelweiss Broking, Siemens Limited, Food Panda, Zalora, Zenyum, JD.ID, Carrefour, Kuwait Food Company (Americana), Choithrams, Amouage Oman, Arabian Radio Network, Bharat Petroleum, Waste Connections US and Tata. Powered by Dynamic AI agents for enterprises, the company aims to deliver human-like interactions that boost customer satisfaction and increase employee engagement at scale, through its no-code/low-code platform. Recognised by Frost & Sullivan, Forrester, Gartner, IDC, and G2 as a leader, the company has raised more than $102M from blue-chip investors and has offices across six countries. -
23
Tavus
Tavus
Tavus is an AI-powered platform designed to bring human-like interaction to video conversations. Through its Conversational Video Interface (CVI), Tavus enables AI agents to see, hear, and respond with emotional intelligence, creating a realistic and engaging user experience. Ideal for industries like recruitment, healthcare, and education, Tavus allows businesses to deploy digital twins, AI therapists, and virtual assistants at scale, improving efficiency and user engagement. With Tavus, companies can create fully customizable, human-like video interactions without the limitations of geography, language, or human availability. -
24
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 -
25
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 -
26
VoAgents
VoAgents.ai
VoAgents.ai offers a cutting-edge AI voice agent solution designed to reshape the way businesses interact with customers. Capable of managing both inbound and outbound calls, our AI-driven agents simulate natural and human-like conversations. VoAgents.ai is an advanced AI voice agent platform built to transform how businesses connect with their customers. Designed to handle both inbound and outbound calls, our AI agents deliver natural, human-like conversations that elevate customer engagement and streamline operations. Whether you're managing sales, support, follow-ups, or appointment scheduling, VoAgents.ai ensures consistent, 24/7 communication across industries like iGaming, marketing, real estate, restaurants, retail, and finance. Our voice agents are trained to understand your business needs, respond intelligently, and integrate seamlessly with your existing CRM and workflows.Starting Price: $99/month -
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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 -
28
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 -
29
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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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 -
31
Pipecat
Pipecat
Pipecat is an open source framework and ecosystem for building real-time voice and multimodal conversational AI agents. It gives developers everything they need to create, deploy, and scale AI applications that can see, hear, and speak, while orchestrating audio, video, AI services, transports, and conversation pipelines with ultra-low latency. The core Pipecat framework is a Python-based system for building voice and multimodal AI pipelines, helping teams connect components such as speech-to-text, LLMs, text-to-speech, vision, video, transports, and business logic without manually wiring every service from scratch. Pipecat is designed to be vendor-neutral and composable, supporting more than 100 AI services so developers can choose the models and providers that fit each use case. Its ecosystem includes Pipecat Subagents for coordinating specialized agents with handoff, task dispatch, and distributed deployment.Starting Price: Free -
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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 -
33
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 -
34
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 -
35
ElevenAgents
ElevenLabs
ElevenLabs Agents is a platform for building, deploying, and scaling intelligent conversational AI agents that can speak, type, and take action across phone, web, and application environments. It enables developers and teams to create real-time agents that interact naturally with users through voice and text, combining speech-to-text, large language models, and text-to-speech into a unified system that functions like a human conversation partner. It allows agents to resolve customer issues, automate workflows, answer questions, and execute tasks based on connected data sources and predefined logic, making interactions both accurate and context-aware. These agents can be customized with knowledge bases, system prompts, and tools that enable them to access external systems, execute custom logic, and perform actions beyond simple responses. They support multimodal capabilities, meaning they can read, speak, and interpret inputs while handling conversational dynamics.Starting Price: $5 per month -
36
Sarvam Samvaad
Sarvam
Sarvam Conversational Agents (Sarvam Samvaad) is an enterprise-grade conversational AI platform designed to help organizations build, deploy, and scale intelligent, human-like agents across multiple communication channels. It enables businesses to run voice calls, WhatsApp conversations, in-app chat, and web interactions from a single unified system, maintaining the same agent context and memory regardless of where the interaction occurs. It integrates deeply with enterprise systems such as CRM, core banking, and payment infrastructure, allowing agents to pull real-time customer data, execute workflows, and push outcomes back into business systems automatically. It supports multilingual communication, particularly across Indian languages, enabling agents to understand complex phrases, colloquial speech, alphanumeric inputs, and proper nouns with high accuracy. It is built for production environments, allowing enterprises to quickly move from pilot to full deployment. -
37
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 -
38
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. -
39
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 -
40
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. -
41
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. -
42
OpenLegion
OpenLegion
OpenLegion is a production-grade AI agent framework and platform for building an AI workforce by describing the team you want. Tell OpenLegion “I want a marketing agency,” “I want a sales team,” or “I want a research desk,” and it deploys the agent stack with roles, budgets, permissions, and secure credential controls built in. Instead of stopping at chat, OpenLegion is designed for real workflows; agents can browse websites, fill out forms, write and run code, send emails and messages, manage files and folders, research and summarize, scrape data, qualify sales leads, process spreadsheets, post to social media, monitor for changes, and trigger workflows through Slack, Telegram, or Discord. Each agent runs in its own isolated container with per-agent budgets, tool permissions, persistent memory, MCP-compatible skills, and vault-secured credentials that agents never touch.Starting Price: $19 per month -
43
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 -
44
Skit
Skit.ai
Integrate voice & conversational intelligence into your products through an independent platform that is always learning. A next-gen multilingual Voice AI-powered contact centre automation platform that has been designed to have human-like conversations. VIVA uses a unique conversation design framework to understand intent. Dynamically generates custom conversations with customers. Supports 10 Languages and 160+ Dialects; available 24x7. Delivering high value through contact center optimization Voice AI banking solutions for a digital economy. Optimize your CX processes, costs, and resources with digital voice agents that can handle personalized, empathetic, and proactive conversations in real-time. Augmented Voice Intelligence is the new paradigm of expanding your workforce to combine the power of humans and machines. Augmented Voice Intelligence is collaborative in nature—a collaborative effort in service of customers. -
45
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 -
46
ConnexAI
ConnexAI
ConnexAI's advanced AI agent utilizes our proprietary Athena LLM to adapt to your CX needs. Leverage AI Agents to automate repetitive tasks, handle complex inquiries, and provide instant, round-the-clock support, freeing up much-needed financial resources to be critically redistributed. AI Agent optimizes interaction handling, inquiry servicing, and freeing your users to focus their time on the most sensitive interactions. Revolutionizes customer interactions with human-like, efficient communication, setting a new standard unparalleled when using chatbots. Dramatically reduces time and admin costs by ensuring that each interaction is handled promptly and effectively. Train your AI agents with ease by preloading them with contextual information and documentation, creating a highly knowledgeable, contextually savvy workforce. AI agent operates round-the-clock, increasing CSAT by ensuring customers receive timely assistance and information. -
47
Leaping AI
Leaping AI
Leaping AI creates voice agents for businesses with high call volumes (>100k calls a year). Our voice AI agents are human-like, handle complex workflows, and automate up to 70% of customer support calls while maintaining 90% customer satisfaction. They get better over time. Our platform allows the deployment of powerful human-like voice AI agents for any customer support and sales support use case. There is a simple user interface to set up multi-stage agents with simple English prompt instructions for behavior and transitions. Agents can speak in multiple languages (English, German, Spanish, Arabic, etc.) and be plugged into your infrastructure with API connectors. All the calls are recorded and can be listened to and analyzed in our platform.Starting Price: $1000/month -
48
Intervo.ai
Intervo.ai
Intervo is an open source, enterprise-grade voice and chat AI agent platform designed to automate real-time customer interactions across voice and text channels. It allows businesses to build, train, and deploy custom agents in minutes without code; you define the agent’s purpose, upload domain knowledge (documents, files), choose a voice engine (e.g., ElevenLabs, Azure), and publish it to embedded channels. Its agents support use cases like lead qualification, customer support, AI receptionist/scheduling, interactive product assistance, and internal help agents (for HR, IT, etc.). They can integrate with telephony via Twilio, connect to multiple LLM backends (OpenAI, Claude, Gemini), orchestrate AI workflows, and embed on websites as widgets. It emphasizes scalability, compliance, and flexibility, letting organizations embed context-aware conversational agents that understand complex queries, route calls, and interact via speech or chat.Starting Price: $10 per month -
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Vision Agents
Stream
Vision Agents is an open source Python framework for building low-latency voice and video AI agents with any model. It lets developers plug in LLM, speech, and vision models from more than 25 providers and ship real-time agents for telehealth, voice support, live coaching, video analysis, interactive avatars, security monitoring, sports commentary, and other multimodal applications. It is designed to help teams build agents that can listen, speak, see, process media, call tools, and respond in real time while running on Stream’s global edge network with sub-500ms latency. Developers can build a first agent in minutes, using a small Python setup with Gemini Realtime, OpenAI, Deepgram, ElevenLabs, Stream, or other supported providers. Vision Agents supports both real-time speech-to-speech models and custom STT/LLM/TTS pipelines, giving teams either the fastest path to a working voice agent or full control over speech recognition, language reasoning, text-to-speech, etc.Starting Price: Free -
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GraphBit
GraphBit
GraphBit is an enterprise-grade agentic AI framework built to run critical AI systems with security, governance, and predictable production performance. It combines a Rust execution core with a Python wrapper to give developers high-performance orchestration with the accessibility of Python, helping teams build reliable multi-agent workflows with minimal CPU and memory usage. GraphBit is designed around the layers that reduce risk, including interfaces, configuration, models, tools, actions, memory, orchestration, and observability. It integrates into existing apps, powers custom AI interfaces, and lets users interact through familiar workflows with controlled actions. Teams can define policies, rules, and guardrails centrally, while GraphBit enforces behavior without changing application code. It supports LLMs and multimodal models from multiple providers, allowing teams to swap models freely without breaking workflows or governance.
