Alternatives to Swarm
Compare Swarm alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Swarm in 2025. Compare features, ratings, user reviews, pricing, and more from Swarm competitors and alternatives in order to make an informed decision for your business.
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1
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 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. • Deploy 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. • Start fast with templates for Contract Analyzer, Support Desk, RFP Response, Investment Memo Generator, and more. -
2
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 -
3
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 -
4
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 -
5
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 -
6
VoltAgent
VoltAgent
VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.Starting Price: Free -
7
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 -
8
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. -
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
Sim Studio
Sim Studio
Sim Studio is a powerful, AI-native platform for designing, testing, and deploying agentic workflows through an intuitive, Figma-like visual editor that eliminates boilerplate code and infrastructure overhead. Developers can immediately start building multi-agent applications with full control over system prompts, tool definitions, sampling parameters, and structured output formatting, while maintaining the flexibility to switch seamlessly among OpenAI, Anthropic, Claude, Llama, Gemini, and other LLM providers without refactoring. The platform supports full local development via Ollama integration for privacy and cost efficiency during prototyping, then enables scalable cloud deployment when you’re ready. Sim Studio connects your agents to existing tools and data sources in seconds, importing knowledge bases automatically and offering over 40 pre-built integrations. -
11
Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
12
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. -
13
AgentHub
AgentHub
AgentHub is a staging environment to simulate, trace, and evaluate AI agents in a private, sandboxed space that lets you ship with confidence, speed, and precision. With easy setup, you can onboard agents in minutes; a robust evaluation infrastructure provides multi-step trace logging, LLM graders, and fully customizable evaluations. Realistic user simulation employs configurable personas to model diverse behaviors and stress scenarios, and dataset enhancement synthetically expands test sets for comprehensive coverage. Prompt experimentation enables dynamic multi-prompt testing at scale, while side-by-side trace analysis lets you compare decisions, tool invocations, and outcomes across runs. A built-in AI Copilot analyzes traces, interprets results, and answers questions grounded in your own code and data, turning agent runs into clear, actionable insights. Combined human-in-the-loop and automated feedback options, along with white-glove onboarding and best-practice guidance. -
14
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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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 Vertex AI or Cloud Run.Starting Price: Free -
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O-mega
O-mega
O-mega is the world's first productivity platform for multi-agent teams, enabling businesses to build AI agents for autonomous work. These agents are designed to take action safely, knowing when and how to use tools to execute tasks under the right conditions. They collaborate effectively across processes, departments, roles, and authorization levels, all while being aware of organizational context, mission, guidelines, and industry standards. O-mega connects agents universally to any platform, API, browser, or legacy system, including Slack, GitHub, Dropbox, Google, Microsoft, AWS, Shopify, Salesforce, Stripe, WordPress, LinkedIn, Twitter, YouTube, Discord, Apple, WhatsApp, and more. This connectivity allows for the automation of any business process through agentic process automation, with AI agents capable of handling tasks such as publishing blogs and posts, processing invoices, onboarding new employees, and generating weekly financial reports. -
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Relevance AI
Relevance AI
Relevance AI is a leading platform that empowers businesses to build and manage autonomous AI agents and multi-agent teams, enabling the automation of complex tasks across various functions such as sales, marketing, customer support, research, and operations. With a user-friendly interface, organizations can create AI agents without coding, customize them to follow specific company processes, and integrate them seamlessly into existing tech stacks. The platform offers a range of pre-built agents, like Bosh the Sales Agent, designed to nurture prospects, book meetings 24/7, and personalize outreach, thereby enhancing efficiency and scalability. Relevance AI ensures data privacy and security, being SOC 2 Type II certified and GDPR compliant, with options for data storage in multiple regions. By leveraging Relevance AI, companies can delegate repetitive tasks to AI agents, allowing human employees to focus on higher-value activities and drive business growth. -
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MGX (MetaGPT X)
MetaGPT
MGX (MetaGPT X) is a multi-agent AI platform that emulates a full software development team, enabling users to create websites, blogs, shops, analytics, games, or any other projects they envision. By interacting with AI personas such as a team leader, product managers, architects, engineers, and data analysts, users can bring their ideas to life 24/7 without the need for coding expertise. MGX leverages real software standard operating procedures to ensure structured and efficient project development. MGX offers a seamless experience where users can dream, chat, and create, effectively transforming their concepts into reality. More specialized expertise for each development phase. Reduced context pollution between different stages of development. Lower computational costs since agents only focus on their specific tasks. The ability to swap or upgrade individual agents independently. A more intuitive development process that mirrors how human teams actually work. -
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RoboWork
RoboWork
RoboWork is an all-in-one AI automation platform to create specialized AI agents, chain them into multi-agent workflows, and deploy them internally or publicly in minutes—without writing code. It supports human-in-the-loop reviews, auto-planning and self-reflection, and integrates with your stack via the Model Context Protocol (MCP) and a REST API. The platform unifies top models (ChatGPT, Claude, Gemini, and RoboWorkAI) with auto-selection, provides knowledge bases trained from your files and websites, and offers one-click deploy, embedding, and white-label options. Designed for individuals through enterprises, RoboWork powers 10K+ teams, 50M+ automated tasks, with 99.9% uptime and SOC 2–aligned practices. Common use cases include sales outreach, content operations, customer support, data processing, and back-office automations. -
20
AgentOps
AgentOps
Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. Track, save, and monitor every token your agent sees. Manage and visualize agent spending with up-to-date price monitoring. Fine-tune specialized LLMs up to 25x cheaper on saved completions. Build your next agent with evals, observability, and replays. With just two lines of code, you can free yourself from the chains of the terminal and instead visualize your agents’ behavior in your AgentOps dashboard. After setting up AgentOps, each execution of your program is recorded as a session and the data is automatically recorded for you.Starting Price: $40 per month -
21
KaibanJS
KaibanJS
KaibanJS is a JavaScript framework for building and visualizing multi‑agent AI systems using a familiar Kanban‑style interface. After installing via npm or npx and importing core classes, you can define agent goals, tasks, and teams programmatically, then run workflows locally or deploy to platforms like Vercel or AWS, no vendor lock‑in thanks to its MIT license. A Trello‑like Kaiban Board transforms console logs into shareable, real‑time workflows, while its Redux‑inspired state management ensures consistent handling of agent states, tasks, and results. Built‑in observability captures every state change, tool call, and log for easy debugging and performance monitoring, and extensibility comes via integrations with major frameworks, multiple LLM providers, language‑chain‑compatible tools, and custom plugins. Lightweight and framework‑agnostic, KaibanJS lets JavaScript developers orchestrate, monitor, and iterate on complex agentic workflows. -
22
Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions -
23
CatDoes
CatDoes
CatDoes is your AI-powered app development partner that turns conversations into production-ready mobile apps. Just describe what you want, AI agents will handle the rest. CatDoes uses multi-agent approach where we have an agent that understands your requirements and feature set, an agent that prepares the theme, design and color palette of your app, an agent that knows how to code and builds your app, and an agent that knows how to release your app on the app stores and does it for you. 🐈✨ -
24
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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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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Supervity
Supervity
Supervity provides enterprise-grade AI agents designed to streamline manual operations and boost efficiency across multiple business functions. Their AI-powered solutions include Agentic RAG for knowledge management, Agentic Workflow for multi-agent orchestration, and Agentic OCR for visual data analysis. These agents integrate seamlessly with over 1000 platforms and are easy to deploy with no code required, making them ideal for industries like banking, healthcare, retail, and more. Supervity helps businesses automate tasks such as invoice processing, customer support, fraud detection, and compliance management, all while enhancing productivity by up to 40%. -
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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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Naptha
Naptha
Naptha is a modular AI platform for autonomous agents that empowers developers and researchers to build, deploy, and scale cooperative multi‑agent systems on the agentic web. Its core innovations include Agent Diversity, which continuously upgrades performance by orchestrating diverse models, tools, and architectures; Horizontal Scaling, which supports collaborative networks of millions of AI agents; Self‑Evolved AI, where agents learn and optimize themselves beyond human‑designed capabilities; and AI Agent Economies, which enable autonomous agents to generate useful goods and services. Naptha integrates seamlessly with popular frameworks and infrastructure, LangChain, AgentOps, CrewAI, IPFS, NVIDIA stacks, and more, via a Python SDK that upgrades existing agent frameworks with next‑generation enhancements. Developers can extend or publish reusable components on the Naptha Hub, run full agent stacks anywhere a container can execute on Naptha Nodes. -
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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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SwarmZero
SwarmZero
SwarmZero is a decentralized platform designed to empower AI researchers, machine learning engineers, and agent builders by providing tools to rapidly build, deploy, and monetize AI agents. It offers an intuitive agent builder, enabling users to create agents without extensive coding knowledge, and supports integration with multiple machine learning models, APIs, and knowledge files to enhance agent capabilities. SwarmZero's Agent Hub serves as a digital marketplace where developers can publish their AI agents, allowing customers to browse and select solutions tailored to their needs. Additionally, it introduces the concept of "Swarms," which are groups of agents that collaborate to handle complex workflows, thereby enhancing efficiency and productivity. By promoting a transparent and community-driven ecosystem, SwarmZero aims to democratize AI development and monetization, making it accessible to a broader audience. Starting Price: $15 per month -
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Azure AI Foundry Agent Service
Microsoft
Azure AI Foundry Agent Service is a platform that allows businesses to design, deploy, and scale AI agents that automate complex tasks while maintaining human control. The service offers a user-friendly interface and a comprehensive set of tools to build multi-agent applications, integrate them with various Azure services like Azure Functions and Logic Apps, and ensure security and compliance. The service aims to help businesses streamline operations by using AI agents for specific workflows, which can be grounded in real-time web data, internal documents, and more. -
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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 -
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OWL
CAMEL-AI
OWL (Optimized Workforce Learning) is an advanced framework designed for multi-agent collaboration in real-world task automation. Built on the CAMEL-AI platform, OWL aims to revolutionize AI agent interactions, enabling more efficient, natural, and resilient task automation across various industries. It achieves high performance, ranking #1 among open-source frameworks on the GAIA benchmark with a score of 58.18. OWL features real-time information sharing, dynamic task management, and integration with various tools and platforms, supporting collaborative AI agents in completing complex tasks.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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Giselle
ROUTE06
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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Webex AI Agent
Webex
Webex AI Agent delivers dynamic, human-like interactions through conversational intelligence across voice and digital channels, providing proactive self-service for customers. It understands individual needs, remembers user history, and adapts to preferences in real time, ensuring personalized experiences. It allows for easy design and deployment of AI agents, offering options to build autonomous agents for natural conversations or scripted agents with specific, pre-configured answers. These agents can handle complex inquiries by integrating with back-office systems to fully resolve customer issues. They are deployable across various channels, including voice, SMS, email, live chat, Facebook Messenger, Apple Messages for Business, and WhatsApp, providing 24/7 support. Seamless handoff to human agents is facilitated when necessary, with full context transfer to ensure continuity. The AI Agent supports over 10 languages, overcoming language barriers and scaling customer interaction. -
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AgentForge
AgentForge
AgentForge is a comprehensive SaaS platform that streamlines the creation and customization of AI agents. It offers a fully integrated NextJS boilerplate, enabling users to build, deploy, and test AI applications efficiently. The platform includes pre-built AI agents, customizable graphs, reusable UI components, and an interactive playground for experimentation. AgentForge seamlessly integrates with popular AI tools such as Langchain, Langgraph, Langsmith, OpenAI, Groq, and Llamma, providing all the necessary building blocks for AI application development. With features like observability through Langsmith and over 20 themes via daisyUI, it caters to both small projects and more advanced needs. The platform's straightforward pricing model involves a one-time payment for lifetime access to all features, updates, and improvements, eliminating recurring subscription fees. AgentForge is designed to simplify AI development, making it accessible for developers and businesses.Starting Price: $99 per month -
38
BabyAGI
BabyAGI
This Python script is an example of an AI-powered task management system. The system uses OpenAI and Chroma to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective. The script then uses OpenAI's natural language processing (NLP) capabilities to create new tasks based on the objective, and Chroma to store and retrieve task results for context. This is a pared-down version of the original Task-Driven Autonomous Agent. The script works by running an infinite loop that does the following steps: 1. Pulls the first task from the task list. 2. Sends the task to the execution agent, which uses OpenAI's API to complete the task based on the context. 3. Enriches the result and stores it in Chroma. 4. Creates new tasks and reprioritizes the task list based on the objective and the result of the previous task.Starting Price: Free -
39
AssistLoop.ai
AssistLoop
AssistLoop.ai is an AI-powered customer support platform designed to provide round-the-clock assistance through intelligent virtual agents. These AI agents are capable of understanding context, resolving complex issues, and continuously learning from interactions to improve over time. The platform aims to reduce operational costs while enhancing customer satisfaction by delivering efficient and responsive support services.Starting Price: $0 -
40
OptiSol
OptiSol Business Solutions
OptiSol's Agentic Process Automation (APA) solutions are designed to transcend traditional task automation by incorporating intelligent agents capable of autonomous decision-making and process optimization. These agents comprehend context, forecast outcomes, and execute actions with minimal human intervention, enhancing efficiency in areas such as finance, operations, customer service, and supply chain management. Key features of OptiSol's APA include context-aware decision-making, proactive workflow management, continuous process optimization, enhanced business agility, and scalability. By leveraging these capabilities, businesses can achieve smarter automation, faster operations, and continuous evolution to stay ahead in competitive markets. -
41
Kodif
Kodif
Kodif is a leading customer support AI platform that revolutionizes customer service by automating ticket resolutions and empowering agents with intelligent tools. This platform streamlines support processes, enabling faster and more efficient resolutions while preserving a human touch. Integrated with multiple customer service platforms, Kodif ensures seamless handling of inquiries across diverse channels. Its primary goal is to deliver personalized support solutions tailored to the unique needs of each client. Kodif's AI agent assists in resolving tickets through chat, SMS, social media, and email, providing smooth handoffs and an AI copilot to empower customer experience teams. The platform offers features such as tracking information, generating personalized responses, executing tasks like refunds or cancellations, and connecting data to provide better insights and analytics. -
42
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 -
43
Synthflow
Synthflow.ai
Easily create AI voice assistants to make outbound calls, answer inbound calls, and schedule appointments 24/7 - no coding required! Forget lengthy development cycles and expensive machine learning teams. With Synthflow you can build sophisticated, tailored AI agents without technical skills or coding - just bring your data and ideas. Over a dozen specialized AI agents are ready to use for question answering, document search, process automation, and more. Choose an agent as-is or customize it to suit your needs. Upload data instantly from PDFs, CSVs, PPTs, URLs and more. Your agent gets smarter with every new piece of data. No caps on storage or computing resources. Store unlimited vector data in your dedicated Pinecone environment. Gain full control and transparency over how your agent learns and improves. Give your AI agent superpowers by connecting it to any data source or service.Starting Price: €25 per month -
44
Superexpert.AI
Superexpert.AI
Superexpert.AI is an open source platform that enables developers to build advanced, multi-task AI agents without writing code. It supports the creation of versatile AI solutions, from simple chatbots to sophisticated agents capable of handling hundreds of tasks. It is extensible, allowing integration of custom tools and functions, and is compatible with various hosting providers, including Vercel, AWS, GCP, and Azure. Superexpert.AI offers features like Retrieval-Augmented Generation (RAG) for efficient document retrieval, multi-model compatibility with AI models such as OpenAI, Anthropic, and Gemini, and a modern web application architecture built with Next.js, TypeScript, and PostgreSQL. It provides a user-friendly interface for configuring agents and tasks, making it accessible for users without programming experience.Starting Price: Free -
45
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 -
46
Cognee
Cognee
Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.Starting Price: $25 per month -
47
Parlant
Parlant
Parlant is a production-ready, open source framework for building compliant AI chat agents that reliably follow instructions and scale with complexity. It enables developers to create adaptive, iterative, and explainable conversational agents using natural-language behavior modeling, including guidelines, journeys, canned responses, retrievers, glossaries, and tools, all versionable via Git. Its guidelines let you nudge agent behavior contextually and precisely, while journeys define multi-step interaction flows; canned responses ensure consistency in high-risk scenarios; and explainability tools provide clear visibility into why each decision was made. Tools require matching guidelines to execute, cleanly separating business logic from conversation behavior, enabling developers and business experts to collaborate independently. Built-in features like session persistence, tool result tracking across sessions, and a drop-in React chat widget make it easy to install.Starting Price: Free -
48
Gobii
Gobii
Gobii is a cloud-hosted platform that enables you to spin up fully managed browser-automation agents via API, allowing tasks like web-based research, form-filling, data extraction, and multi-step workflows to be automated at scale. These agents operate like “always-on employees” that can browse websites, even those without APIs, navigate dynamic content, handle JavaScript, and even rotate proxies automatically. Users can create agents, assign them prompts or tasks, and retrieve structured JSON outputs or live previews of the agent’s browser actions. Gobii supports synchronous and asynchronous task execution, secret handling for things like login credentials, schema-enforced output validation, and integrates with popular programming languages (Python, Node.js) for seamless implementation. The platform emphasises scalability (hundreds of tasks in parallel), enterprise-grade security (audit logs, proxies, task management), and a simple developer experience.Starting Price: $30 per month -
49
Runbear
Runbear
Runbear is a no-code platform that enables teams to create AI agents integrated with popular communication and productivity tools like Slack, Teams, HubSpot, and more. It allows users to build custom AI assistants quickly, typically within 10 minutes, without requiring technical expertise. Runbear helps automate repetitive tasks, streamline internal communication, and manage AI agents tailored for different teams all from a single interface. The platform supports integrations with AI models like OpenAI, Claude, and Gemini, combined with content management systems such as Google Drive, Notion, and Confluence. Use cases include automating meeting preparation, summarizing Slack threads, analyzing Airtable data through natural language, and enabling AI to suggest answers in Slack channels. Customer testimonials highlight Runbear’s ease of use and the significant efficiency gains achieved by integrating AI directly into workflows.Starting Price: $79 per month -
50
Kimiyi AI
Kimiyi AI
Kimiyi AI is a generative conversational AI agent designed to automate various business needs. It allows users to create personalized AI agents without coding, offering features like real-time customer support, image and video generation, and automated phone calls. With a focus on user-friendly experience, Kimiyi provides video tutorials for setup and training, enabling businesses to engage customers effectively and enhance operational efficiency. Its capabilities include interactive learning, customer service, and tailored recommendations, making it adaptable for diverse industries such as e-commerce and hospitality.Starting Price: $29/month