Alternatives to Lux
Compare Lux alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Lux in 2025. Compare features, ratings, user reviews, pricing, and more from Lux 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
Claude Computer Use
Anthropic
Claude, developed by Anthropic, is an advanced conversational AI model that now includes a revolutionary capability called computer use. This feature allows Claude to interact with a computer in a way that mimics human behavior, such as moving a cursor, clicking buttons, and typing. The goal of computer use is to automate complex workflows and tasks that require interaction with multiple applications, such as filling out forms or conducting research. Although still in public beta, this feature marks a significant step forward in creating AI models that can function independently within computing environments, making them more versatile in business applications like software testing, automation, and task completion. -
3
ChatGPT Agent
OpenAI
ChatGPT Agent is OpenAI’s next-generation AI assistant that can autonomously perform complex tasks using its own virtual computer. It can navigate websites, interact with apps, run code, and generate outputs such as editable slideshows and spreadsheets—all based on user instructions. By combining capabilities from earlier tools like Operator and deep research, it handles tasks from start to finish with fluid reasoning and action. Users stay in control, able to intervene, pause, or stop tasks anytime, with explicit permission required before significant actions. The agent integrates with apps like Gmail and GitHub, allowing it to access and act on real data securely. This powerful tool enhances productivity in both professional and personal settings by automating workflows and delivering comprehensive results. -
4
Gemini 2.5 Computer Use
Google
Introducing the Gemini 2.5 Computer Use model, a specialized agent model built on top of Gemini 2.5 Pro’s visual reasoning capabilities, designed to interact directly with user interfaces (UIs). It is exposed via a new computer-use tool in the Gemini API, with inputs that include the user’s request, a screenshot of the UI environment, and a history of recent actions. The model generates function calls corresponding to UI actions like clicking, typing, or selecting, and may request user confirmation for higher-risk tasks. After each action is executed, a new screenshot and URL are fed back into the model to continue the loop until the task completes or is halted. It is optimized primarily for web browser control and shows promise for mobile UI interaction, though it is not yet suited for desktop OS-level control. In benchmarks across web and mobile control tasks, Gemini 2.5 Computer Use outperforms leading alternatives, delivering high accuracy at lower latency.Starting Price: Free -
5
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. -
6
OpenAGI
OpenAGI
OpenAGI is a developer-focused framework designed to help teams build autonomous, human-like AI agents capable of planning, reasoning, and executing tasks independently. It bridges the gap between traditional LLM applications and fully autonomous agents by offering tools for decision-making, continual learning, and long-term task execution. The platform allows developers to create specialized agents for real-world use cases across industries such as education, finance, healthcare, and software development. With its flexible architecture, OpenAGI supports sequential, parallel, and dynamic communication patterns between agents. Developers can choose automated configuration generation or manually tailor every detail for complete customization. OpenAGI represents an early but significant step toward making powerful, adaptive agent technology accessible to everyone.Starting Price: Free -
7
ComputerX
ComputerX
ComputerX is a computer-use agent that does your computer work for you—from automation to web research to creating deliverables. Just type what you need in simple, natural language, and ComputerX turns your words into action. -
8
LaVague
LaVague
LaVague is an open source framework designed to empower developers to build and deploy AI-driven web agents with minimal code. By leveraging Large Action Models (LAMs), LaVague enables the automation of complex web-based tasks through natural language instructions. Developers can create agents capable of navigating websites, extracting information, and performing actions by specifying objectives in plain language. The framework supports various drivers, including Selenium and Playwright, and offers customizable configurations to suit diverse use cases. Additionally, LaVague provides specialized tools for quality assurance engineers, such as LaVague QA, which automates test writing by converting Gherkin specifications into executable tests. The platform emphasizes customization, privacy, and performance, allowing agents to utilize local models and integrate seamlessly with existing systems.Starting Price: Free -
9
Agent S2
Simular
Agent S2 is an open, modular, and scalable framework for computer-use agents developed by Simular. These autonomous AI agents interact directly with graphical user interfaces (GUIs) on desktops, mobile devices, browsers, and various software applications, mimicking human-like control via mouse and keyboard. Building upon the initial Agent S framework, Agent S2 enhances performance and modularity by integrating both frontier foundation models and specialized models. It achieves state-of-the-art results, notably surpassing previous benchmarks on OSWorld and AndroidWorld evaluations. Key design principles include proactive hierarchical planning, where the agent dynamically updates its plans after each subtask; visual grounding for precise GUI interaction using raw screenshots; an improved Agent-Computer Interface (ACI) that delegates complex tasks to specialized modules; and an agentic memory mechanism that enables continual learning from experience. -
10
ServiceNow AI Agents
ServiceNow
ServiceNow's AI Agents are autonomous systems embedded within the Now Platform, designed to perform repetitive tasks traditionally handled by humans. These agents interact with their environment to collect data, make decisions, and execute tasks, enhancing efficiency over time. Leveraging domain-specific large language models and a robust reasoning engine, they possess a deep understanding of business contexts, enabling continuous improvement in outcomes. Operating natively across workflows and data systems, AI Agents facilitate end-to-end automation, boosting team productivity by orchestrating workflows, integrations, and actions throughout the enterprise. Organizations can deploy prebuilt AI agents or develop custom agents tailored to specific needs, all functioning seamlessly on the Now Platform. This integration allows employees to focus on more strategic initiatives by automating routine tasks. -
11
Vogent
Vogent
Vogent is an all-in-one platform for building humanlike, intelligent, and effective voice agents. It offers a highly authentic, low-latency live voice AI capable of making phone calls up to one hour long and executing follow-up tasks. Vogent automates calls in industries such as healthcare, construction, logistics, and travel. The platform provides a custom end-to-end pipeline for transcription, reasoning, and speech, resulting in extremely low latency and humanlike conversations. Vogent's in-house language models have been trained on millions of phone conversations across hundreds of different task types, performing as well as human agents when prompted or fine-tuned with minimal examples. Developers can dispatch thousands of calls with a few lines of code and automate downstream workflows based on outcomes. The platform supports REST and GraphQL APIs, and offers a no-code dashboard for creating agents, uploading knowledge bases, tracking dials, and exporting transcripts.Starting Price: 9¢ per minute -
12
Amazon Bedrock AgentCore
Amazon
Amazon Bedrock AgentCore enables you to deploy and operate highly capable AI agents securely at scale, offering infrastructure purpose‑built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real‑world deployment. It works with any framework and any foundation model in or outside of Amazon Bedrock, eliminating the undifferentiated heavy lifting of specialized infrastructure. AgentCore provides complete session isolation and industry‑leading support for long‑running workloads up to eight hours, with native integration to existing identity providers for seamless authentication and permission delegation. A gateway transforms APIs into agent‑ready tools with minimal code, and built‑in memory maintains context across interactions. Agents gain a secure browser runtime for complex web‑based workflows and a sandboxed code interpreter for tasks like generating visualizations.Starting Price: $0.0895 per vCPU-hour -
13
HappyRobot
HappyRobot
HappyRobot is an AI-native operating system designed to power autonomous operations by orchestrating customizable “AI workers” that understand your business, make intelligent decisions, and act in real time. Built to streamline enterprise workflows, especially in logistics, supply chain, retail, and services, it lets you create AI agents that can speak, type, reason, negotiate, schedule, process documents, browse systems, and escalate when needed. These workers execute tasks across voice calls, emails, messages, and other channels, with advanced reasoning powered by large language models connected to your tools and workflows via APIs, webhooks, or browser agents. You manage this AI workforce from a centralized “control tower,” where you can deploy, monitor, and iterate workflows in natural language or through integrated UIs, gaining visibility into each task and decision. -
14
Letta
Letta
Create, deploy, and manage your agents at scale with Letta. Build production applications backed by agent microservices with REST APIs. Letta adds memory to your LLM services to give them advanced reasoning capabilities and transparent long-term memory (powered by MemGPT). We believe that programming agents start with programming memory. Built by the researchers behind MemGPT, introduces self-managed memory for LLMs. Expose the entire sequence of tool calls, reasoning, and decisions that explain agent outputs, right from Letta's Agent Development Environment (ADE). Most systems are built on frameworks that stop at prototyping. Letta' is built by systems engineers for production at scale so the agents you create can increase in utility over time. Interrogate the system, debug your agents, and fine-tune their outputs, all without succumbing to black box services built by Closed AI megacorps.Starting Price: Free -
15
Strands Agents
Strands Agents
Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. Built-in tools and the ability to add custom tools enable agents to perform a wide range of actions beyond simple text generation.Starting Price: Free -
16
Qwen3-Max
Alibaba
Qwen3-Max is Alibaba’s latest trillion-parameter large language model, designed to push performance in agentic tasks, coding, reasoning, and long-context processing. It is built atop the Qwen3 family and benefits from the architectural, training, and inference advances introduced there; mixing thinker and non-thinker modes, a “thinking budget” mechanism, and support for dynamic mode switching based on complexity. The model reportedly processes extremely long inputs (hundreds of thousands of tokens), supports tool invocation, and exhibits strong performance on benchmarks in coding, multi-step reasoning, and agent benchmarks (e.g., Tau2-Bench). While its initial variant emphasizes instruction following (non-thinking mode), Alibaba plans to bring reasoning capabilities online to enable autonomous agent behavior. Qwen3-Max inherits multilingual support and extensive pretraining on trillions of tokens, and it is delivered via API interfaces compatible with OpenAI-style functions.Starting Price: Free -
17
Project Mariner
Google DeepMind
Project Mariner is a research prototype developed by Google DeepMind, built upon their advanced AI model, Gemini 2.0. It explores the future of human-agent interaction by automating tasks within a user's browser. Leveraging multimodal understanding, Project Mariner comprehends and reasons across various browser elements, including text, code, images, and forms. This enables it to navigate complex websites, automate repetitive tasks, and provide visual feedback to users. The system can interpret voice instructions and offers updates on task progress, ensuring users remain informed and in control. Additionally, Project Mariner can follow complex instructions by breaking them down into actionable steps, understanding relationships between web elements, and providing clear plans and actions to users. Currently, Project Mariner is in the testing phase with a select group of trusted users. Those interested in participating can join the waitlist for future testing opportunities. -
18
c/ua
c/ua
c/ua is a platform that runs secure AI agents, optimized for Apple Silicon. It removes the need for virtual machine setup, enabling near-native macOS and Linux environments. Features include configurable VM resources, AI system integration, and automation via a computer-user interface. It supports multi-model workflows and cross-OS desktop automation. c/ua also allows easy sharing and distribution of VM images for collaboration. c/ua enables AI agents to control full operating systems in high-performance virtual containers with near-native speed on Apple Silicon. It supports agent loops such as UITARS-1.5, OpenAI, Anthropic, and OmniParser-v2.0. For developers, c/ua provides tools like Lume CLI for VM management, Python SDKs for agent development, and example code for direct control of macOS VMs.Starting Price: Free -
19
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. -
20
Portia
Portia
Portia AI is an open source developer framework (with optional cloud services) that lets teams rapidly build, deploy, and monitor stateful, authenticated AI agents with full visibility and control. Developers start by prompting the SDK to generate explicit, structured multi-step “plans” that weave together LLM reasoning and tool calls, then run those plans step-by-step, enriching plan state at each stage and pausing for clarifications (human or machine) whenever authentication or missing data is required. With its unified auth framework and plug-and-play tool catalog, Portia handles credentials and permissions for remote API and MCP tool invocations automatically. The complementary cloud offering adds persistent storage of plan run states, historical logs, telemetry dashboards, and managed scaling so production deployments stay reliable, auditable, and compliant in regulated environments.Starting Price: $30 per month -
21
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. -
22
Instruct
Instruct
Instruct allows anyone to build AI agents in minutes simply by describing the desired outcome in natural language, with no code or complex logic required. The platform then connects to thousands of external tools and services and empowers these agents to act; you can trigger them manually or automatically. The system supports a full lifecycle of agent use. First, you specify what the agent should accomplish; then you link accounts and workflows; finally, you deploy the agent to run immediately or on triggers. Agents can operate across domains such as finance, sales, operations, and marketing, executing multi-step tasks autonomously. They are designed to adapt to changes and handle unexpected conditions, rather than breaking when something shifts. The platform emphasizes outcome-driven intelligence; even when processes are complex, you define success, and the agent figures out the path. -
23
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 -
24
Cortex AgentiX
Palo Alto Networks
Cortex AgentiX is the next-generation evolution of Cortex XSOAR®, designed by Palo Alto Networks to securely build, deploy, and govern AI-powered security agents. It enables organizations to unleash agentic AI that acts as intelligent teammates, capable of planning and executing complex workflows around the clock. Cortex AgentiX is powered by over 1.2 billion real-world playbook executions, providing agents with proven operational intelligence. The platform offers a rich library of ready-to-use agents while also supporting custom, no-code agent creation tailored to specific security needs. With built-in guardrails, Cortex AgentiX ensures agents operate with the appropriate level of autonomy, including human-in-the-loop approvals for critical actions. Full transparency allows teams to trace every agent decision, action, and outcome for audit and compliance purposes. Cortex AgentiX integrates seamlessly across the Cortex ecosystem to help organizations stay ahead of evolving threats. -
25
Adopt AI
Adopt AI
Adopt AI helps modern applications deliver an agentic experience to their end users within days. Using Adopt, end users of applications can execute complex actions across their application via natural language commands, automate workflows and unlock new possibilities for application innovation. In this future, AI agents will understand application/website workflows, know which components to call, create dynamic plans, and execute those plans to achieve desired outcomes. This approach means that humans will no longer need to learn how to use applications; instead, they can interact with AI in natural language to accomplish tasks or have AI automatically perform tasks based on schedules or triggers. Adopt AI is helping companies race against time to build their own AI copilot and set of autonomous/semi-autonomous agents. This is required to stay relevant, change along with changing human needs, keep adoption high, churn low, and retain high NPS and GRR/NRR. -
26
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 -
27
Gemini Deep Research
Google
The Gemini Deep Research Agent is an autonomous research system that plans, searches, analyzes, and synthesizes multi-step findings using Gemini 3 Pro. Built for complex, long-running tasks, it performs iterative web searches, evaluates sources, and generates deeply structured, fully cited reports. Developers can run tasks asynchronously with background execution, enabling reliable long-duration workflows without timeouts. The agent also integrates with your own data through File Search, combining public web intelligence with private documents. Real-time streaming delivers progress, intermediate thoughts, and updates for transparent research. Designed for high-value analysis, the agent turns traditional research cycles into automated, repeatable, and scalable intelligence workflows. -
28
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. -
29
Bahama
Bahama
These are step-by-step AI automations that flow sequentially towards a final outcome, with each step building upon the previous to deliver consistent, repeatable outcomes every time. Flows can be saved and re-run as needed, automating tasks as diverse as responding to customer service emails or producing a newsletter by gathering, summarizing, and publishing the latest news. Create an internal knowledge base to give your AI agents the data they need to take informed action on your specific projects. Provide support docs to empower an AI customer service agent, a readme to support an AI code reviewer, or product specs to inform an AI sales agent. -
30
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 -
31
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. -
32
Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is Anthropic’s latest frontier model, designed to excel in long-horizon coding, agentic workflows, and intensive computer use while maintaining safety and alignment. It achieves state-of-the-art performance on the SWE-bench Verified benchmark (for software engineering) and leads on OSWorld (a computer use benchmark), with the ability to sustain focus over 30 hours on complex, multi-step tasks. The model introduces improvements in tool handling, memory management, and context processing, enabling more sophisticated reasoning, better domain understanding (from finance and law to STEM), and deeper code comprehension. It supports context editing and memory tools to sustain long conversations or multi-agent tasks, and allows code execution and file creation within Claude apps. Sonnet 4.5 is deployed at AI Safety Level 3 (ASL-3), with classifiers protecting against inputs or outputs tied to risky domains, and includes mitigations against prompt injection. -
33
Holo2
H Company
H Company’s Holo2 model family delivers cost-efficient, high-performance vision-language models tailored for computer-use agents that navigate, localize UI elements, and act across web, desktop, and mobile environments. The series, available in 4 B, 8 B, and 30 B-A3B sizes, builds on their earlier Holo1 and Holo1.5 models, retaining strong UI grounding while significantly enhancing navigation capabilities. Holo2 models use a mixture-of-experts (MoE) architecture, activating only necessary parameters, to optimize efficiency. Trained on curated localization and agent datasets, they can be deployed as drop-in replacements for their predecessors. They support seamless inference in frameworks compatible with Qwen3-VL models and can be integrated into agentic pipelines like Surfer 2. In benchmark testing, Holo2-30B-A3B achieved 66.1% accuracy on ScreenSpot-Pro and 76.1% on OSWorld-G, leading the UI localization category. -
34
Phi-4-mini-reasoning
Microsoft
Phi-4-mini-reasoning is a 3.8-billion parameter transformer-based language model optimized for mathematical reasoning and step-by-step problem solving in environments with constrained computing or latency. Fine-tuned with synthetic data generated by the DeepSeek-R1 model, it balances efficiency with advanced reasoning ability. Trained on over one million diverse math problems spanning multiple levels of difficulty from middle school to Ph.D. level, Phi-4-mini-reasoning outperforms its base model on long sentence generation across various evaluations and surpasses larger models like OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. It features a 128K-token context window and supports function calling, enabling integration with external tools and APIs. Phi-4-mini-reasoning can be quantized using Microsoft Olive or Apple MLX Framework for deployment on edge devices such as IoT, laptops, and mobile devices. -
35
Common Lisp
Common Lisp
Common Lisp is the modern, multi-paradigm, high-performance, compiled, ANSI-standardized, most prominent (along with Scheme) descendant of the long-running family of Lisp programming languages. Common Lisp is known for being extremely flexible, having excellent support for object oriented programming, and fast prototyping capabilities. It also sports an extremely powerful macro system that allows you to tailor the language to your application, and a flexible run-time environment that allows modification and debugging of running applications (excellent for server-side development and long-running critical software). It is a multi-paradigm programming language that allows you to choose the approach and paradigm according to your application domain.Starting Price: Free -
36
Questera
Questera
Questera is an agentic customer engagement platform that enables growth and lifecycle teams to define strategies and execute them faster than ever. Users can create custom AI agents or utilize pre-configured ones for effortless personalization, auto-segmentation, journey automation, hands-free campaign execution, and reporting, allowing for limitless scalability. It offers a simple four-step process to create AI agents: define the agent by entering key details such as name and image; add core instructions specifying goals, rules, and parameters; choose abilities like email automation, segmentation, and retargeting from over 75 integrations; and finally, test and deploy the agent with real-time feedback. Alternatively, users can get started quickly by employing Questera's preconfigured agents, such as Sara, the smart ads retargeting agent, who crafts personalized ads to re-engage visitors and launch impactful retargeting campaigns. -
37
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. -
38
913.ai
913.ai
Empower your teams with AI Agents and explore next-generation efficiency. We enable deploying custom agents in no time, customized, integrated and impactful. Use customized solutions within a few days live in production via our proprietary infrastructure. Focus on your core business while we run and maintain your AI solution cost-efficient. Our agents can take over hundreds of use cases in high-stakes environments where complex reasoning and accuracy are essential. Automatically draft reference letters for your employees. Automate your Inbox based on custom labels. With Neurons, we can automate any document-related task, build agents, and process documents. Neurons are intelligent and can be seamlessly connected to other tools. With 913.ai, organizations in sectors such as insurance, logistics, legal, and beyond can accurately automate office work with the option of keeping humans in the loop for added oversight. This allows them to focus on more important work. -
39
Autohive
Autohive
Autohive is a no-code AI agent platform that empowers everyday teams to automate repetitive workflows by allowing users to visually build, deploy, and orchestrate AI agents that integrate seamlessly with existing tools and data sources. Users can create specialized agents to ingest information from CRMs, analytics platforms, documentation repositories and communication channels, then chain them together into collaborative “agent teams” that execute complex tasks, such as transcribing and summarizing podcasts into social media posts, generating weekly trial-analysis reports, or surfacing customer-support answers, on a scheduled or on-demand basis. Its intuitive interface lets non-technical users define agent behaviors, set triggers and reminders, and monitor performance from a central dashboard, while more advanced teams can leverage its natural-language API and workflow editor to automate multi-step processes across marketing, analytics, and customer support.Starting Price: $80 per month -
40
Mastra AI
Mastra AI
Mastra is a powerful TypeScript framework for building intelligent AI agents that can execute tasks, access knowledge bases, and maintain memory persistently within workflows. This framework simplifies the process of creating and deploying AI-powered agents by leveraging TypeScript’s capabilities to streamline development. With features like customizable agent instructions, memory, and task orchestration, Mastra provides developers with the tools to build and scale AI agents for various applications, from personal assistants to specialized domain experts.Starting Price: Free -
41
AskUI
AskUI
AskUI is an innovative platform that enables AI agents to visually perceive and interact with any computer interface, facilitating seamless automation across various operating systems and applications. Leveraging advanced vision models, AskUI's PTA-1 prompt-to-action model allows users to execute AI-driven actions on Windows, macOS, Linux, and mobile devices without the need for jailbreaking. This technology is particularly beneficial for tasks such as desktop and mobile automation, visual testing, and document or data processing. By integrating with tools like Jira, Jenkins, GitLab, and Docker, AskUI enhances workflow efficiency and reduces the burden on developers. Companies like Deutsche Bahn have reported significant improvements in internal processes, citing over a 90% increase in efficiency through the use of AskUI's test automation capabilities. -
42
AgentGPT
AgentGPT
AgentGPT allows you to configure and deploy Autonomous AI agents. Name your own custom AI and have it embark on any goal imaginable. It will attempt to reach the goal by thinking of tasks to do, executing them, and learning from the results.Starting Price: Free -
43
Tasker AI
Tasker AI
Tasker AI is your personal, agentic assistant that automates everyday tasks, from to-dos, calls, deal hunting, and meetings to work and life chores, by connecting seamlessly with the apps and websites you already use. Without any complex setup, you simply tell Tasker what you need, schedule meetings, extract data, summarize articles or academic papers, order groceries, shop online, reserve restaurants, or organize your calendar and inbox, and it handles everything in the background. Tasker AI streamlines task management with AI-powered calendar coordination, email automation, and data aggregation; provides an agentic concierge service for consumer errands; and delivers research capabilities that compile and condense information across sources. You can set up one-off requests or recurring workflows, daily briefings, weekly summaries, or any repeating process, and Tasker will execute them on autopilot, freeing you to focus on higher-value work.Starting Price: Free -
44
Nurix
Nurix
Nurix AI is a Bengaluru-based company specializing in the development of custom AI agents designed to automate and enhance enterprise workflows across various sectors, including sales and customer support. Nurix AI's platform integrates seamlessly with existing enterprise systems, enabling AI agents to execute complex tasks autonomously, provide real-time responses, and make intelligent decisions without constant human oversight. A standout feature is their proprietary voice-to-voice model, which supports low-latency, human-like conversations in multiple languages, enhancing customer interactions. Nurix AI offers tailored AI services for startups, providing end-to-end solutions to build and scale AI products without the need for extensive in-house teams. Their expertise encompasses large language models, cloud integration, inference, and model training, ensuring that clients receive reliable and enterprise-ready AI solutions. -
45
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. -
46
AgentFlow
Multimodal
AgentFlow is an agentic AI platform that automates workflows for finance and insurance companies. The platform includes modular AI agents, such as Document AI, Decision AI, and Report AI, each specializing in different stages of regulated workflows: triage, diligence, decisioning, and reporting. AgentFlow orchestrates multiple AI agents with human supervisors and third-party systems, enabling deep transformation of how work gets done. The platform features self-learning capabilities that allow AI agents to improve over time based on subject matter experts' feedback and provides transparency through explainability features that help users understand the reasoning behind AI-driven decisions. Every action and output is fully auditable, ensuring compliance with the strict standards of regulated industries. Its main mission is to codify tacit internal knowledge in order to reliably augment high-leverage workflows and preserve the know-how across generations of talent. -
47
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 -
48
Skymel
Skymel
Skymel is a cloud-native AI orchestration platform built around its real-time Orchestrator Agent (OA) and companion AI assistant, ARIA. The Orchestrator Agent enables both fully automatic runtime agent creation and developer-controlled dynamic agents that seamlessly integrate across any device, cloud, or neural network architecture. It leverages NeuroSplit’s distributed-compute technology to optimize inference, automatically routing each request through the ideal model and execution environment (on-device, cloud, or hybrid), unifying error handling, and reducing API costs by 40–95% while improving performance. On top of OA, Skymel ARIA delivers a single, synthesized answer to any query by orchestrating ChatGPT, Claude, Gemini, and other leading AI models in real-time, eliminating manual prompt chaining and subscription juggling. -
49
Chatsby
Byteverse Limited
Chatsby is a B2B AI automation platform that helps businesses scale customer communication, capture leads, and drive sales without extra manpower. It automates conversations across multiple channels, responds instantly, and can even perform actions like product search, add to cart, booking, or order status checks. Every interaction is stored as structured data so teams can track leads, measure outcomes, and improve follow ups. Setup is extremely easy, no coding or technical skill required, and integration takes only a few minutes. From the dashboard you can train, monitor, and refine your AI agent, or step in at any time for human control. Chatsby solves the problem of missed leads, long response times, and repetitive tasks while delivering consistent 24/7 support. Businesses benefit from faster resolutions, lower costs, and higher conversions, making it the easiest and fastest way to scale customer operations and turn conversations into revenue.Starting Price: $40/month/user -
50
Claude Opus 4
Anthropic
Claude Opus 4 represents a revolutionary leap in AI model performance, setting a new standard for coding and reasoning capabilities. As the world’s best coding model, Opus 4 excels in handling long-running, complex tasks, and agent workflows. With sustained performance that can run for hours, it outperforms all prior models—including the Sonnet series—making it ideal for demanding coding projects, research, and AI agent applications. It’s the model of choice for organizations looking to enhance their software engineering, streamline workflows, and improve productivity with remarkable precision. Now available on Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI, Opus 4 offers unparalleled support for coding, debugging, and collaborative agent tasks.Starting Price: $15 / 1 million tokens (input)
