Alternatives to Swarm
Compare Swarm alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Swarm in 2026. 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
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 -
2
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 -
3
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 -
4
SWARM
SWARM
SWARM Engineering is an AI-powered SaaS platform built to help organizations tackle complex operational challenges, such as supply-chain disruption, workforce planning, and production logistics, through a methodology combined with Agentic AI. The workflow begins when a business user defines a specific operational problem via their Challenge Modeler; SWARM then uses its Solution Engine, an open library of multi-agent systems, optimization algorithms, and machine-learning models, to ingest data (from ERPs, spreadsheets, or IoT feeds), run simulations, and deploy a tailored solution through their Ops Dashboard. The system is designed for enterprise-scale deployment on Microsoft Azure, supports no-code configuration so business users can interact without needing data-science skills, and promises rapid time-to-impact (e.g., planning cycles reduced by up to 400%) and strong ROI in industries such as ag-food, manufacturing, and distribution. -
5
Swarm
Docker
Current versions of Docker include swarm mode for natively managing a cluster of Docker Engines called a swarm. Use the Docker CLI to create a swarm, deploy application services to a swarm, and manage swarm behavior. Cluster management integrated with Docker Engine: Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don’t need additional orchestration software to create or manage a swarm. Decentralized design: Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image. Declarative service model: Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack. -
6
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 -
7
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 -
8
Microsoft Foundry Agent Service
Microsoft
Microsoft Foundry Agent Service is a secure, enterprise-ready platform for designing, deploying, and orchestrating AI agents at scale. It gives teams a streamlined interface and toolset to automate complex workflows using multi-agent systems. Developers can build with hosted agents, custom code, or agent frameworks while taking advantage of Azure’s reliability, scalability, and integrated observability. Built-in tools, enterprise connectors, and Model Context Protocol support make it easy for agents to interact with business systems and organizational data. Security, access governance, and compliance are embedded throughout, allowing companies to maintain full control while deploying intelligent automation across critical processes. With one-click deployment to Microsoft 365 experiences, Foundry Agent Service accelerates how organizations operationalize AI in everyday work. -
9
Agents Base
Agents Base
AgentsBase is an AI-driven platform that automates brand growth by deploying swarms of cloud marketing agents. These agents conduct AB testing across various demographics, copywriting styles, and viral video formats, achieving CPM rates 50 to 500 times more effective than traditional advertising channels like Google, Instagram, or TikTok. The platform offers features such as automating content repurposing from YouTube, TikTok, and Loom, enabling the production of hundreds of videos daily with significantly improved CPM. Additionally, AgentsBase facilitates engagement by responding to relevant questions across social platforms, providing meaningful value that naturally mentions your brand. It also generates hundreds of SEO-optimized blogs from news articles or scientific papers, contributing to daily organic traffic growth. Users can initiate campaigns with a daily budget as low as $3, making it accessible for businesses of varying sizes.Starting Price: $3 per day -
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
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 -
12
Knolli
Knolli
Knolli is an AI copilot platform that enables users to build, launch, and scale custom AI copilots and agents without writing code by turning knowledge, documents, datasets, and proprietary content into interactive, conversational assistants. It provides a no-code workspace where creators, teams, and businesses can describe their idea in plain language and have Knolli automatically structure uploaded content into a usable AI copilot, organize and protect data securely with encrypted private knowledge bases, and connect to tools such as CRMs, file storage, and databases to pull in live data for context-aware responses. It supports multi-agent architecture to run specialized agents inside one copilot, pre-built templates for common use cases, custom branding and white-labeling, and advanced analytics so users can monitor performance, usage, and ROI. Knolli also offers workflow automation, letting copilots automate multi-step tasks and integrate with existing systems.Starting Price: $39 per month -
13
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. -
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 -
15
Swarm
Swarm Foundation
Swarm is a decentralized data storage and distribution technology. Ready to power the next generation of censorship-resistant, unstoppable, serverless dapps. Swarm continues where the blockchain ends, making the world computer real. Swarm is open source code, limited only by the people who use and maintain it - Join a community building the future of the web. Redundant storage with local replication ensures data availability even in the face of node dropouts or data loss. Swarm is decentralized and distributed, and so it’s also always up, making it stable and reliable. -
16
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. -
17
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 -
18
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. -
19
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. -
20
HelpNow Agentic AI Platform
Bespin Global
Bespin Global’s HelpNow Agentic AI Platform is an enterprise-grade AI agent automation and orchestration platform that lets organizations rapidly create, deploy, and manage autonomous AI agents tailored to real business workflows without deep coding, using a visual builder (Agentic Studio) and centralized portal to design single or multi-agent workflows, integrate with existing systems via APIs and connectors, and monitor performance in real time with an Agent Control Tower for governance, policy enforcement, and quality oversight; it supports LLM orchestration, multimodal inputs (text, voice, STT/TTS), and flexible deployment across cloud environments (AWS, GCP, Azure, on-premises) with connectivity to internal data, documents, and business processes so agents can act on context-rich enterprise information. It combines tools for agent lifecycle management, real-time observability, integration with voice and document processing, and enterprise governance. -
21
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. -
22
Aritic Swarm
Aritic
Go beyond traditional messaging with Aritic Swarm. Engage in interactive messaging with text formatting, emojis, sharing, and internal team collaboration. Seamlessly collaborate with your entire team as well as other teams to get work completed faster and drive business growth. Share media, videos, and files with anyone and everyone instantly by simply uploading it from your computer. Do more than one-on-one messaging. Create groups, make video calls, format texts like bold, italics, and more. Turn discussions into real actions. Push your team a step ahead towards smart collaboration by creating and assigning tasks within Aritic Swarm rooms. Like marking important messages in your inbox? But why wait for an email. Mark and save your valuable discussions to tag later and keep pick up from where you left; or just use it as a reference. Aritic Swarm Meetings are compatible on mobiles and desktops alike. -
23
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 -
24
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 -
25
SwarmOne
SwarmOne
SwarmOne is an autonomous infrastructure platform designed to streamline the entire AI lifecycle, from training to deployment, by automating and optimizing AI workloads across any environment. With just two lines of code and a one-click hardware installation, users can initiate instant AI training, evaluation, and deployment. It supports both code and no-code workflows, enabling seamless integration with any framework, IDE, or operating system, and is compatible with any GPU brand, quantity, or generation. SwarmOne's self-setting architecture autonomously manages resource allocation, workload orchestration, and infrastructure swarming, eliminating the need for Docker, MLOps, or DevOps. Its cognitive infrastructure layer and burst-to-cloud engine ensure optimal performance, whether on-premises or in the cloud. By automating tasks that typically hinder AI model development, SwarmOne allows data scientists to focus exclusively on scientific work, maximizing GPU utilization. -
26
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. -
27
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. 🐈✨ -
28
Trylli AI
Trylli AI
Trylli AI is a next-generation AI voice calling system that replaces traditional telecalling with intelligent, human-like agents. It enables businesses to run inbound and outbound calls at scale, handling sales, support, reminders, HR interviews, and more. Agents can be built using ready templates, chat-based setup, or advanced workflows, with options for multi-agent deployment, shared or isolated memory, and even a “Super Agent” for context switching. Trylli AI integrates a knowledge base for domain-specific queries, supports English and Hindi (with future global languages), and offers customizable voices for personalized conversations. Batch calling allows large-scale campaigns like collections, renewals, or verifications. With detailed analytics, call recordings, role-based access control, and integrations via APIs, Slack, and CRM systems, Trylli AI provides businesses with a scalable, multilingual, and context-aware AI telecaller that works 24/7.Starting Price: $49/Month - 750 Minutes -
29
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. -
30
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. -
31
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 -
32
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%. -
33
Flowise
Flowise AI
Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.Starting Price: Free -
34
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. -
35
The Swarm
The Swarm
The Swarm is a Go-To-Network (GTN) platform designed to help companies and investors unlock the full potential of their extended networks to accelerate sales, recruiting, and fundraising. By mapping and combining the networks of team members, advisors, investors, and partners, The Swarm reveals warm relationships and provides actionable insights into connection strengths. Users can import connections from LinkedIn, Google, and email/calendar contacts, and the platform's AI automatically identifies former colleagues and education overlaps to expand the network. Features include relationship scoring, powerful search filters, intro requests, and integration with CRMs like HubSpot, Salesforce, and Affinity. The Swarm also offers a Chrome extension for seamless LinkedIn integration and supports privacy controls and role-based permissions.Starting Price: $99 per month -
36
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 -
37
DeerFlow
Bytedance
DeerFlow is a community-driven deep research framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible. DeerFlow's multi-agent architecture lets agents work together, share tasks, and solve complex problems. This makes DeerFlow ideal for automated research and advanced AI workflows, ensuring reliability and scalability. Experience the agent teamwork with our supervisor + handoffs design pattern. DeerFlow helps you solve real research and automation challenges. With DeerFlow, you can build smart workflows using multi-agent collaboration and advanced search. DeerFlow is not just a research tool, it's a platform for building next-generation AI applications.Starting Price: Free -
38
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. -
39
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 -
40
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. -
41
DataCore Swarm
DataCore Software
Are you struggling with protecting and providing access to rapidly scaling data sets or enabling distributed content-based use cases? Using tape is cost-effective but data is not instantly accessible; and tape is difficult to manage. The public cloud often presents the challenge of compounding, unpredictable recurring costs, and the inability to meet local performance and privacy requirements. DataCore Swarm provides an on-premises object storage solution that radically simplifies the ability to manage, store, and protect data while allowing S3/HTTP access to any application, device, or end-user. Swarm transforms your data archive into a flexible and immediately accessible content library that enables remote workflows, on-demand access, and massive scalability. -
42
NanoClaw
NanoClaw
NanoClaw is a lightweight, open-source personal AI assistant that runs securely inside Linux containers. Designed as a simplified alternative to larger frameworks, it connects Claude Code to WhatsApp and enables autonomous task execution with isolated group contexts. Each group operates in its own container with a dedicated filesystem and memory file, ensuring strong OS-level security rather than application-level permission checks. The system runs as a single Node.js process with a minimal codebase that users can understand and modify quickly. NanoClaw supports scheduled tasks, web access, and optional integrations through modular Claude skills. It introduces Agent Swarms, allowing multiple specialized agents to collaborate within a single chat. Built for individual users rather than enterprises, NanoClaw emphasizes customization through direct code changes instead of configuration files.Starting Price: Free -
43
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. -
44
SwarmHR
ThoughtWave Software & Solutions
"SWARM",Software for Workforce automation and resource management is a HR management software suite with a comprehensive set of features that can help businesses make the best use of their workforce full potential. In part, it can help businesses by automating the routine processes that keep them running in a smooth and uninterrupted manner, thus freeing their workforces to focus on other matters while also eliminating the potential for human error. However, it should also be noted that SWARM can improve communication within businesses, thus enabling better coordination than otherwise possible. Summed up, the features included in the software suite make it not just powerful but also versatile, thus making it well-suited to a wide range of businesses in a wide range of industries. Run the entire employee lifecycle with ease, and spend less time on mundane HR operations and more time on human interactions. Simplify the lives of your employees as well as HRs like never before. -
45
Cisco AI Canvas
Cisco
The Agentic Era marks a transformative shift from traditional application-centric computing to a new frontier defined by agentic AI, autonomous, context-aware systems capable of acting, learning, and collaborating within complex, dynamic environments. These intelligent agents don’t just respond to commands; they perform complete tasks, retain memory and context via large language models tailored for specific domains, and can scale across industries into the tens of millions. This evolution brings the need for a new operational mindset, AgenticOps, and a reimagined management interface built around three guiding principles, keeping humans thoughtfully in the loop to provide creativity and judgment, enabling agents to operate across siloed systems with cross-domain context, and deploying purpose-built models fine-tuned for their distinct tasks. Cisco brings this to life through AI Canvas, the industry’s first generative, shared workspace driven by a multi-data, multi-agent architecture. -
46
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 -
47
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 -
48
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 -
49
Swarm
Swarm
Self-custody gives you full control of assets. Trading is decentralized and regulatory compliant. The future of finance is here. Connect your wallet and experience the gold standard for blockchain-based trading. The gold standard for blockchain-based finance. Trade real world assets (RWAs) on chain today, 100% asset-backed, and regulatory compliant. Web3 self-custody and protocol transparency. We never take custody of your assets. Our battle-proven infrastructure offers full transparency for robust trading. With Swarm, any asset can be tokenized and traded in a regulated environment, including real estate, carbon credits, private holdings, stocks, and bonds. Embed a custom marketplace into your ecosystem using the Swarm platform. Swarm is the first organization in the world to offer tokenized US Treasury bills and public stocks that are tradable on a regulated and decentralized platform. Our platform opens up new opportunities for retail investors and institutional market participants. -
50
Giselle
Giselle
Giselle is a software platform that creates powerful AI Agents through a visually intuitive, node-based interface, allowing you to link multiple LLMs and data sources so they can work together like members of a team. These Agents automate essential tasks such as market research, pull request reviews, and documentation, freeing human collaborators to focus on creative problem-solving. By visually connecting nodes that represent different AI functions or data channels, even sophisticated workflows become easy to build and maintain, much like game engines that transform complex processes into manageable systems. Through this approach, Giselle introduces a multi-agent orchestration that continuously evolves your documentation, accelerates product development, and integrates smoothly with GitHub to streamline your day-to-day engineering routines.Starting Price: $20/month/user
