Alternatives to Qoris AI
Compare Qoris AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Qoris AI in 2026. Compare features, ratings, user reviews, pricing, and more from Qoris AI competitors and alternatives in order to make an informed decision for your business.
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1
Talkdesk
Talkdesk
Talkdesk is automating the full complexity of modern customer journeys with Customer Experience Automation (CXA). Fragmented, manual workflows are replaced with multi-agent orchestration that drives speed, precision, and efficiency. Powered by the Talkdesk Data Cloud, AI agents act with real-time context to resolve issues and improve over time. Talkdesk helps organizations lower costs, improve outcomes, and modernize service without a full rip-and-replace. report contentStarting Price: $85 per month -
2
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. -
3
Zyter Symphony
Zyter
Zyter Symphony is a next-generation, agent-orchestration platform that enables enterprises to rewire legacy workflows with speed, precision, and flexibility. The platform uses a modular, multi-agent AI architecture to reduce what it calls “process debt” and unlock trapped business value across clinical, administrative, and operational domains. It layers onto any digital core process platform and supports system integration agents, workflow agents, voice agents, coding agents, and knowledge/data-interoperability agents that coordinate across data, people, and systems. With built-in omnichannel collaboration (chat, voice, SMS, video), enterprise-grade security (AES 256-bit encryption, HIPAA readiness), and outcome-driven deployment (cost reduction, improved engagement, higher quality, faster decisions), Symphony is designed to automate full end-to-end workflows, not just isolated tasks. -
4
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. -
5
CallSine
CallSine
CallSine is an autonomous, agent-powered outreach and sales-engagement platform that researches prospects deeply, scraping websites, LinkedIn profiles, and company information, to deliver hyper-personalized messaging at scale. It uses a multi-agent pipeline built on retrieval-augmented generation to ingest your sales and marketing assets, understand your value proposition, generate individualized emails, LinkedIn messages, or calls, and orchestrate deployment across channels with timing and cadence tailored to each prospect. CallSine doesn’t rely on basic templating; instead, it builds context-rich outreach by combining deep prospect insight, branded content, and automated follow-ups driven by behavioral cues. It also provides analytics and AI coaching to monitor engagement, refine messaging, and adapt strategy based on responses or lack thereof.Starting Price: $99 per month -
6
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. -
7
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%. -
8
Netguru Omega
Netguru
Omega is an internally developed AI agent integrated directly into Slack to supercharge sales workflows by handling routine tasks, surfacing insights, and nudging team members toward best practices, all with minimal friction. It seamlessly connects with core tools like Slack, Google Drive, Apollo, Salesforce, and transcript systems to automate time-consuming chores, generating call agendas, summarizing expert calls, locating relevant documents, and tracking deal progression. Omega operates as a modular, multi-agent system, utilizing specialized roles orchestrated via frameworks like AutoGen to plan, execute, and validate actions within the workflow. This architecture runs on a cloud-native, serverless stack using AWS Lambda and Step Functions, enabling flexibility and scale. Observability and iteration are supported through tools like Langfuse, Promptfoo, CI/CD pipelines, and Terraform. -
9
Agent2Agent
Google
Agent2Agent (A2A) is a protocol developed by Google to enable seamless communication between AI agents. It facilitates the transfer of knowledge and tasks between different AI systems, allowing them to collaborate and execute complex workflows. A2A aims to enhance interoperability between AI agents, enabling more sophisticated, multi-agent systems that can perform tasks autonomously across various platforms and services.Starting Price: Free -
10
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 -
11
GenFlow 2.0
Baidu
GenFlow 2.0 is a next-generation AI agent system powered by Baidu Wenku’s proprietary Multi-Agent Parallel Architecture, orchestrating over 100 AI agents in parallel to reduce complex task processing from hours to under three minutes. It offers full transparency and user control throughout execution. Users can pause tasks at any stage, modify instructions on the fly, and edit intermediate results, ensuring human-AI collaboration remains dynamic and precise. To enhance reliability and accuracy, GenFlow 2.0 autonomously accesses vast knowledge bases, including Baidu Scholar’s 680 million peer-reviewed publications, Baidu Wenku’s 1.4 billion professional documents, and user-approved Netdisk files, leveraging retrieval-augmented generation and multi-agent cross-validation to minimize hallucinations. The platform supports a wide array of multimodal outputs, ranging from copywriting and visual design to slide generation, research reports, animations, and code.Starting Price: Free -
12
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 -
13
OpenServ
OpenServ
OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future. -
14
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. -
15
ClickUp Super Agents
ClickUp
ClickUp Super Agents introduce human-level AI teammates designed to work alongside people in real workflows. These AI agents can be assigned tasks, mentioned in conversations, and messaged directly, just like human teammates. Super Agents operate autonomously with infinite memory, continuous learning, and real-time context awareness. They support over 500 human-like skills, enabling them to manage projects, write content, analyze data, and automate operations. Multi-agent orchestration allows entire teams of specialized agents to be created from a single prompt. Super Agents work 24/7, proactively assisting through ambient intelligence without constant user input. This transforms productivity by combining human judgment with AI-driven execution at scale. -
16
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. -
17
Swarm
OpenAI
Swarm is an experimental, educational framework developed by OpenAI to explore ergonomic, lightweight multi-agent orchestration. It is designed to be scalable and highly customizable, making it suitable for scenarios involving a large number of independent capabilities and instructions that are challenging to encode into a single prompt. Swarm operates entirely on the client side and, like the Chat Completions API it utilizes, does not store state between calls. This stateless nature allows for the construction of scalable, real-world solutions without a steep learning curve. Swarm agents are distinct from assistants in the assistants API; they are named similarly for convenience but are otherwise completely unrelated. It includes examples demonstrating fundamentals such as setup, function calling, handoffs, and context variables, as well as more complex scenarios like a multi-agent setup for handling different customer service requests in an airline context.Starting Price: Free -
18
Roboworx
eClerx
Roboworx is an agentic AI automation platform designed to help businesses streamline operations and enable intelligent, goal-driven workflows. Built around Roboworx CogniFlows, the platform allows organizations to automate real-time decision-making with minimal human intervention. It combines autonomy, optimization, and multi-agent collaboration to handle complex business processes. Roboworx supports natural language training, making automation easier to design and adapt. The platform includes solutions like WorkConnect, DigitalCX, and ProcessEX to address employee productivity, customer experience, and process automation. Roboworx is used across industries such as banking, telecom, travel, and high-tech. It empowers organizations to reduce manual effort while increasing efficiency and agility. -
19
xpander.ai
xpander.ai
xpander.ai is a backend-as-a-service platform tailored for production-grade AI agents, offering developers a robust infrastructure that handles memory, tools, connectors, multi-agent workflows, triggering, state management, observability, and CI/CD pipelines without requiring infrastructure setup. Its visual AI agent workbench enables users to design, configure, simulate, test, and deploy agents interactively, complete with support for multi-agent collaboration, tool integrations, role-based access, and runtime governance. Developers can connect agents to SaaS or enterprise systems via AI-ready connectors, attach tool-compatible workflows, and monitor agent behavior with built-in observability and lifecycle tools. It supports deployment on hosted cloud infrastructure or within private VPCs, ensuring both agility and secure enterprise integration, and accelerates agent development from idea to production.Starting Price: $49 per month -
20
Vivgrid
Vivgrid
Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.Starting Price: $25 per month -
21
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 -
22
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 -
23
Noesent
Noesent
Noesent is a multi-agent AI platform that automates critical fintech operations such as payment routing, reconciliation, support, and fraud detection. It replaces manual workflows with intelligent agents specialized in specific tasks—like Camilla for transaction verification and Monica for invoice matching—helping teams save hours daily. The system integrates securely with your existing stack and complies with top industry security standards, including ISO 27001 and 9001. Noesent’s agents work together on a centralized platform to accelerate workflows and reduce operational backlogs by up to 70%. With early access to new AI agents and direct support from founders, it delivers fast, measurable ROI. Noesent is trusted by fintechs, payment service providers, and banks worldwide. -
24
GovAIQ
GovAIQ
GovAIQ is an AI-native proposal management platform designed to streamline RFP/RFQ processes for government contractors. It offers tools for writing comprehensive responses without extensive staffing, analysts for quickly analyzing and qualifying RFPs/RFQs, and proposal agents for multi-layered proposal drafting and management. The platform supports team collaboration, including with external partners and consultants, and ensures data privacy by not using client data for training or sharing. GovAIQ provides market activity and trend insights, and its AI-driven reasoning engine autonomously configures agents to deliver dynamic, nuanced proposals. The platform is built for teams, enabling effective collaboration and integration of expertise into efficient proposal pipelines. It also offers unlimited team creation and member invitations, facilitating seamless coordination and project execution. GovAIQ is a beta product of G2X Labs, provided without expressed warranties. -
25
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. -
26
Aurasell
Aurasell
Aurasell is an AI-native go-to-market platform designed to unify prospecting, selling, revenue operations, and forecasting in a single system. Built to replace fragmented GTM stacks, Aurasell consolidates more than 15 tools into one intelligent platform powered by autonomous AI agents. It enables teams to move seamlessly from contact to contract while significantly improving productivity, velocity, and forecasting accuracy. Aurasell leverages massive global data coverage, including hundreds of millions of contacts and accounts, to drive intelligent prospecting and account insights. The platform automates busywork across sales, RevOps, and leadership workflows so teams can focus on closing deals instead of managing tools. AI-driven coaching, conversational intelligence, and real-time insights help sellers improve execution and reduce risk. With enterprise-grade security and scalability, Aurasell delivers full control across the entire revenue engine. -
27
NEO
NEO
NEO is an autonomous machine learning engineer: a multi-agent system that automates the entire ML workflow so that teams can delegate data engineering, model development, evaluation, deployment, and monitoring to an intelligent pipeline without losing visibility or control. It layers advanced multi-step reasoning, memory orchestration, and adaptive inference to tackle complex problems end-to-end, validating and cleaning data, selecting and training models, handling edge-case failures, comparing candidate behaviors, and managing deployments, with human-in-the-loop breakpoints and configurable enablement controls. NEO continuously learns from outcomes, maintains context across experiments, and provides real-time status on readiness, performance, and issues, effectively creating a self-driving ML engineering stack that surfaces insights, resolves standard settlement-style friction (e.g., conflicting configurations or stale artifacts), and frees engineers from repetitive grunt work. -
28
MINT
MINT
MINT.ai is an AI-powered Advertising Resource Management (ARM) platform that unifies advertising data, automates workflow tasks, and deploys intelligent multi-agent AI systems across the full campaign lifecycle to improve efficiency and drive better business outcomes. It brings together AI Agents, workflow automation, and unified data into a single solution purpose-built for advertising resource management, enabling teams to plan, buy, activate, analyze, and optimize campaigns from one place with real-time insights. Its proactive AI multi-agent system acts like specialized virtual team members that collaborate with human teams to automate repetitive media planning and buying tasks, provide real-time performance reporting, and suggest adaptive optimizations that aim to maximize return on investment. MINT’s data layer standardizes and harmonizes advertising data across channels, offering a single source of truth for spend and performance insights. -
29
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 -
30
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 -
31
DHTMLX Chatbot
DHTMLX
DHTMLX Chatbot is a configurable JavaScript widget for creating agent-based support chats with minimum time and effort. It’s a flexible UI layer solution that supports any LLM system integration on the backend. Key features of the DHTMLX Chatbot include multi-agent support, the option to load chat history, and markdown text formatting. The widget also supports responsive and read-only modes and different chat area render templates. The chatbot widget is shared under the MIT license.Starting Price: 0 -
32
Landbase
Landbase
Landbase is an AI-driven go-to-market automation platform powered by its domain-specific GTM‑1 Omni model and a suite of agentic AI “working team” agents that autonomously handle prospect identification, campaign planning, personalization, multichannel outreach (email, LinkedIn, dialing), deliverability, and analytics. It draws on massive data, 220 M+ verified contacts, 24 M+ accounts, 40 M+ sales interactions, and 10 M+ signals to automatically generate campaign strategies, messaging, and workflows, then execute and optimize them without constant human oversight. Landbase replaces fragmented tech stacks by integrating audience intelligence, intent data, content generation, domain management, and performance reporting into a unified system. It delivers results in minutes instead of months, slashes GTM costs by up to 80%, and achieves 4–7× higher conversion rates. -
33
Emergence Orchestrator
Emergence
Emergence Orchestrator is an autonomous meta-agent designed to coordinate and manage interactions between AI agents across enterprise systems. It enables multiple autonomous agents to work together seamlessly, handling sophisticated workflows that span modern and legacy software platforms. The Orchestrator empowers enterprises to manage and coordinate multiple autonomous agents at runtime across various domains, facilitating use cases such as supply chain management, quality assurance testing, research analysis, and travel planning. It handles tasks like workflow planning, compliance, data security, and system integrations, freeing teams to focus on strategic priorities. Key features include dynamic workflow planning, optimal task delegation, agent-to-agent communication, an agent registry cataloging various agents, a skills library for task-specific capabilities, and customizable compliance policies. -
34
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. -
35
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. -
36
VIFE
VIFE AI
VIFE AI is an AI agent platform designed to turn conversations into real, usable deliverables. Instead of stopping at chat-based responses, VIFE focuses on execution—helping users create presentations, documents, full-stack websites, and complete frontend and backend applications with minimal effort. At its core, VIFE leverages autonomous and collaborative AI agents that can understand tasks, plan workflows, and execute them end-to-end. With a single click, users can generate production-ready outputs, making VIFE suitable for creators, teams, and businesses that want faster results without complex setup or manual coordination. VIFE goes beyond traditional AI tools by supporting multi-agent collaboration, intelligent task execution, and workflow automation. Whether you need to build a website, prepare a presentation, or generate structured documents, VIFE provides a streamlined environment where AI agents work together to deliver practical outcomes. -
37
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. 🐈✨ -
38
AI Autopilot
AI Autopilot
AI Autopilot is an advanced agentic AI automation platform designed specifically for MSPs to streamline IT operations with intelligent automation. It provides specialized AI agents that handle ticket triage, prioritization, routing, escalation, and SLA monitoring with MSP-grade accuracy. The system integrates natively with major PSA, RMM, documentation, and automation tools like ConnectWise, Autotask, Ninja RMM, IT Glue, Liongard, and Rewst. By automating repetitive tasks, AI Autopilot helps MSPs resolve tickets faster, reduce labor costs, and deliver 24/7 support coverage. Users can even enable ticket creation directly from Microsoft Teams and Slack for a frictionless support experience. With upcoming integrations like MCP, CrewAI, LangChain, and deep RPA orchestration, the platform continues to evolve into a next-generation multi-agent AI infrastructure for MSPs.Starting Price: $99/month -
39
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 -
40
Blitzy
Blitzy
Blitzy is an AI-powered autonomous software development platform designed to accelerate enterprise software creation by automating up to 80% of the development process. Blitzy orchestrates over 3,000 specialized AI agents that think, plan, build, and validate code based on technical specifications. It can process entire codebases, up to 100 million lines, without limitations, ensuring full-project awareness and eliminating fragmentation issues. Blitzy's AI agents collaborate to generate comprehensive technical documentation, plan changes in plain English, and produce enterprise-grade code at scale, delivering up to 3 million lines per run with built-in quality checks. It supports both new and existing products, allowing users to connect their repositories, receive up-to-date documentation, and implement feature additions or refactors.Starting Price: $10,000 per year -
41
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. -
42
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 -
43
Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
44
Eigent
Eigent AI
Eigent is an open-source desktop automation platform designed to act as a powerful AI workforce for modern productivity. It transforms context into action by coordinating multiple intelligent agents to automate complex tasks directly on the desktop. Built with multi-agent collaboration and parallel execution, Eigent handles long-horizon workflows faster and more efficiently than single-agent systems. The platform is fully customizable, allowing users to create their own worker nodes and plug in tools through modular MCPs. Privacy and security are central to Eigent’s design, with support for local deployment that keeps sensitive data fully under user control. Eigent supports a wide range of real-world use cases, from file organization and report generation to ERP automation and market research. As an open-source solution, it offers transparency, flexibility, and enterprise-grade performance without vendor lock-in.Starting Price: $16.66 per month -
45
DealerAI
DealerAI
DealerAI offers a Multi-Agent Generative System (MAGS) tailored for car dealerships, enabling the creation of custom AI agents for sales, service, parts, and finance functions. These agents power chatbots, voice AI, and follow-up systems that work 24/7 across channels (website chat, SMS, email, social), capturing inquiries, qualifying leads, booking appointments, and warming cold leads. It integrates deeply with a dealership’s CRM, inventory, booking system, and data sources to deliver seamless operations. DealerAI features Smart Inventory Matching (Fuse Inventory) to connect buyers with the right vehicles across stores. Its REACH module automates multi-channel follow-ups to re-engage leads. Voice AI capabilities allow natural conversation that instills trust and drives conversions. The system is built for scalability and security, with enterprise-grade architecture that handles high volumes and rollout across multiple rooftops.Starting Price: $599 per month -
46
BrainSoup
Nurgo
With BrainSoup, transform your way of working. Here, you craft custom agents, each built to serve a specific need. From routine tasks, to complex assignments, BrainSoup's agents have the potential to revolutionize your workflow. But the recipe to efficiency doesn't stop at solo tasking. In BrainSoup, agents seamlessly work together, enabling multi-agent collaborations to conquer complex projects. And the best part? All this is managed through simple, natural language. Speak to BrainSoup's agents as you would do with any team member, giving instructions and driving automations through natural conversations. With BrainSoup, you have an adaptable team right on your desktop. Enhance AI knowledge using your documents providing valuable guidance to the AI agents, or let the flow of conversations between you and your agents organically expand their knowledge base. -
47
Webvar
Webvar
Webvar offers a suite of modular, AWS-integrated AI-powered tools that empower businesses to automate, personalize, and scale operations seamlessly. It enables the creation of AI agent applications in a low-code environment using rich business components and prebuilt applications, like Excel automation, document extraction, RAG‑based document generation, support‑desk FAQ creation, and meeting minute summarization, complete with security, tracking, and operational management features. Webvar automates knowledge-intensive workflows through multi-agent orchestration, human-in-the-loop controls, customizable process flows, and governance features for compliance and transparency. It transforms websites into interactive, conversational experiences by delivering instant, natural-language responses from embedded knowledge bases (including PDFs and videos), personalized calls to action, behavior-adaptive AI, secure CMS integration, and more. -
48
Aden
Aden
Aden is an AI-native, multi-agent operation platform designed for business leaders to unify their systems, streamline processes, and automate mission-critical workflows and tasks. Highly customizable and rapidly deployable, Aden enhances operational performance and expands team capacity through declarative tooling, services, and intelligent AI agents. Currently, Aden helps over 100 operationally-focused businesses, including supply chain control towers of major global corporations, IT departments of major financial institutions, and other high-impact companies, elevate their efficiency, automate workflows, and scale beyond manual operations.Starting Price: $100/user/month -
49
Salesforce Agentforce
Salesforce
Humans with Agents drive customer success together. Build and customize autonomous AI agents to support your employees and customers 24/7. An Agentforce Agent is a proactive, autonomous application that provides specialized, always-on support to employees or customers. They're equipped with the necessary business knowledge to execute tasks according to their specific role. Agentforce Service Agents engage customers autonomously across channels 24/7 in natural language. They resolve cases swiftly and accurately because every answer is grounded in trusted data. Set your Service Agent up in minutes using prebuilt templates, or customize fast with low-code. Define clear security guardrails and when to seamlessly escalate to human employees. Agentforce SDRs autonomously answer product questions, handle objects, and book meetings for sales reps. They act and respond accurately, with responses grounded in your business data. -
50
Agentleader
Agentleader
AgentLeader is an AI-powered B2B lead generation platform that combines advanced technology with human expertise to deliver high-quality, verified leads tailored to your business needs. It utilizes agent-based browsing technology to autonomously identify potential clients matching your ideal customer profile, focusing on decision-makers across various industries. Each lead undergoes a rigorous multi-step verification process, including cross-referencing multiple data points and manual validation by a dedicated team, ensuring accuracy and relevance. AgentLeader's approach emphasizes cost-effectiveness, providing more qualified leads at typically half the cost of traditional agencies without compromising quality. By integrating seamlessly with popular CRM systems like Salesforce, HubSpot, and Pipedrive, AgentLeader streamlines the lead delivery process, allowing your sales team to focus on closing deals.
