Alternatives to Agent Computer
Compare Agent Computer alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Agent Computer in 2026. Compare features, ratings, user reviews, pricing, and more from Agent Computer competitors and alternatives in order to make an informed decision for your business.
-
1
Microsoft Azure
Microsoft
Microsoft's Azure is a cloud computing platform that allows for rapid and secure application development, testing and management. Azure. Invent with purpose. Turn ideas into solutions with more than 100 services to build, deploy, and manage applications—in the cloud, on-premises, and at the edge—using the tools and frameworks of your choice. Continuous innovation from Microsoft supports your development today, and your product visions for tomorrow. With a commitment to open source, and support for all languages and frameworks, build how you want, and deploy where you want to. On-premises, in the cloud, and at the edge—we’ll meet you where you are. Integrate and manage your environments with services designed for hybrid cloud. Get security from the ground up, backed by a team of experts, and proactive compliance trusted by enterprises, governments, and startups. The cloud you can trust, with the numbers to prove it. -
2
Sprites
Sprites
Sprites.dev is a cloud infrastructure platform that provides persistent, hardware-isolated Linux environments designed to run arbitrary code safely and efficiently. Each “Sprite” functions as a fully functional virtual machine that can be created in seconds, giving developers instant access to a ready-to-use environment with root access and a complete filesystem. Unlike traditional containers or serverless functions, these environments are stateful, meaning any installed packages, files, or configurations remain intact between sessions, allowing users to pick up exactly where they left off. Sprites automatically hibernate when idle and resume on demand, maintaining their state while optimizing resource usage. It includes features such as checkpoint and restore, enabling users to save and revert entire system states quickly, which is especially useful for experimentation and iterative development.Starting Price: $30 per month -
3
Daytona
Daytona
Daytona is a cloud-native development runtime that enables developers and AI agents to instantly create, run, and manage isolated sandboxes for any codebase. Each sandbox runs inside a secure microVM with full Linux compatibility, networking, and persistent storage. Daytona provides SDKs in Python and TypeScript, allowing applications to programmatically execute code, run processes, upload files, or spin up environments dynamically. Teams use Daytona to replace complex local setups with reproducible cloud sandboxes that can be started in seconds and accessed through preview URLs, SSH, or APIs. It’s built for automation, observability, and scalability, powering everything from personal development environments to enterprise-grade agent runtimes. -
4
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 -
5
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. -
6
Hamster
Hamster
Hamster is an AI-first workspace designed to help developers and teams plan, structure, and execute projects by providing persistent context to AI coding agents across tools and workflows. It allows users to define a clear plan, brief, and context that can be injected into multiple AI development tools such as Claude, Codex, Gemini, Copilot, and others, ensuring that every agent operates with the same understanding of the project. Instead of relying on isolated prompts, Hamster centralizes instructions and project knowledge so agents can generate more accurate, consistent, and goal-aligned outputs throughout the development process. It works as a coordination layer for AI-driven building, enabling users to move their plans seamlessly between tools while maintaining continuity and reducing context loss. By supporting a wide range of AI coding environments, Hamster acts as a universal interface that connects different models and systems into a cohesive workflow.Starting Price: Free -
7
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. -
8
VibeKit
VibeKit
VibeKit is a simple, open source SDK for safely running Codex and Claude Code agents in secure, customizable sandboxes. It enables you to embed coding agents directly in your app or workflow via a drop‑in SDK. import VibeKit and VibeKitConfig, and call generateCode with prompts, modes, and streaming callbacks for live output handling. VibeKit runs code in fully isolated private sandboxes, supports customizable environments where you can install packages, and is model‑agnostic, letting you choose any compatible Codex or Claude model. It streams agent output efficiently, maintains full prompt and code history, provides async run handling, integrates with GitHub for commits, branches, and pull requests, and supports telemetry and tracing (via OpenTelemetry). Compatible sandbox providers include E2B (today), with Daytona, Modal, Fly.io, and others coming soon, plus support for any runtime that meets your security needs.Starting Price: Free -
9
Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency. -
10
JetBrains Air
JetBrains
Air is an agentic development environment created by JetBrains that allows developers to delegate coding tasks to multiple AI agents and manage them within a single, unified workspace. Instead of functioning as a simple chat-based assistant, it is designed as a full development environment where tools are built around AI agents, enabling users to guide, supervise, and refine their output more effectively. Developers can run several agents concurrently, each working on different tasks in isolated environments, which helps prevent conflicts and improves productivity when handling complex projects. It supports integration with multiple AI systems such as Claude, Gemini, Codex, and other coding agents, allowing flexible, model-agnostic workflows within the same interface. Users can define tasks with rich context by referencing specific files, commits, classes, or code elements, ensuring that the agents generate more accurate and relevant results based on the actual codebase.Starting Price: Free -
11
Polyscope
Beyond Code
Polyscope is an agent-first development environment designed to orchestrate and run multiple AI coding agents in parallel, allowing developers to automate complex software engineering workflows. It works with advanced coding models such as Claude Code and OpenAI Codex, enabling users to launch several agents simultaneously while maintaining separate, isolated workspaces for each task. Each agent operates inside its own copy-on-write environment, which allows the system to safely experiment with different approaches, modify files, and test changes without affecting the original project. It enables developers to run dozens of AI agents concurrently to generate code, analyze repositories, perform debugging, or experiment with alternative solutions across the same codebase. Itis delivered as a native macOS tool designed for high-performance agent execution, giving engineers a centralized interface to observe agent progress and manage tasks.Starting Price: $99 per year -
12
Emdash
Emdash
Emdash is an orchestration layer that lets you run multiple coding agents in parallel, each in its own isolated Git worktree, so you can simultaneously spin up different agents to tackle independent subtasks or experiments without interference. It’s provider-agnostic, meaning you can pick from various AI models and CLIs (for example, Claude Code, Codex, and others) to fit your workflow. With Emdash, you can assign issues or tickets (from Linear, GitHub, or Jira) directly to a chosen agent, then watch multiple agents operate side by side in real time. The UI shows live agent status and activity, and once agents generate code, you can review diffs, comment, and open pull requests, all without leaving Emdash. Because every agent runs in a separate worktree, changes stay sandboxed and comparable, enabling you to test different implementations or strategies side-by-side safely.Starting Price: Free -
13
21st
21st.dev
21st is a developer platform that provides the fastest way to add AI agents directly into applications. The platform offers an SDK that allows developers to define, deploy, and run AI agents with minimal infrastructure setup. Developers can integrate agents using popular frameworks such as Next.js, React, TypeScript, Python, and Node.js. 21st includes built-in features like chat interfaces, session history, tool execution, memory, and real-time streaming responses. The platform also manages backend components such as sandboxed execution environments, authentication, rate limits, and observability. With support for Claude Code and Codex runtimes, developers can build agents that interact with tools, files, and APIs securely. By handling infrastructure and deployment automatically, 21st enables teams to launch production-ready AI agents quickly.Starting Price: Free -
14
Mistral AI Studio
Mistral AI
Mistral AI Studio is a unified builder-platform that enables organizations and development teams to design, customize, deploy, and manage advanced AI agents, models, and workflows from proof-of-concept through to production. The platform offers reusable blocks, including agents, tools, connectors, guardrails, datasets, workflows, and evaluations, combined with observability and telemetry capabilities so you can track agent performance, trace root causes, and govern production AI operations with visibility. With modules like Agent Runtime to make multi-step AI behaviors repeatable and shareable, AI Registry to catalogue and manage model assets, and Data & Tool Connections for seamless integration with enterprise systems, Studio supports everything from fine-tuning open source models to embedding them in your infrastructure and rolling out enterprise-grade AI solutions.Starting Price: $14.99 per month -
15
Contextually
Contextually
Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates. -
16
AGBCLOUD
AGBCLOUD
AGBCLOUD is an AI-native, cloud-based sandbox platform that provides developers and organizations with secure, isolated runtime environments for building and operating autonomous software agents. It equips agents with professional cloud development environments that support multilingual code generation, compilation, and debugging within browser-accessible sandboxes. It enables advanced capabilities such as browser use, computer use, and data analysis so AI systems can safely interact with files, applications, and the web in a controlled environment. AGBCLOUD integrates plug-and-play MCP tools and LLM-powered analytics to transform raw data into actionable insights and interactive applications. Its cross-platform sandbox architecture allows agents to move seamlessly between coding, browsing, and system-level operations while maintaining strong isolation and security.Starting Price: Free -
17
nebulaONE
Cloudforce
nebulaONE is a secure, private generative AI gateway built on Microsoft Azure that lets organizations harness leading AI models and build custom AI agents without code, all within their own cloud environment. It aggregates top AI models from providers like OpenAI, Anthropic, Meta, and others into a unified interface so users can safely ingest sensitive data, generate organization-aligned content, and automate routine tasks while keeping data fully under institutional control. Designed to replace insecure public AI tools, nebulaONE emphasizes enterprise-grade security, compliance with regulatory standards such as HIPAA, FERPA, and GDPR, and seamless integration with existing systems. It supports custom AI chatbot creation, no-code development of personalized assistants, and rapid prototyping of new generative use cases, helping educational, healthcare, and enterprise teams accelerate innovation, streamline operations, and enhance productivity. -
18
Codex CLI
OpenAI
Codex CLI is an open-source, lightweight coding agent that integrates directly into your terminal, designed to help developers write, edit, and understand code efficiently. By pairing with Codex CLI, developers can leverage the power of AI to streamline their workflow, get real-time code suggestions, and improve their coding accuracy, all from within their command line interface. It provides a seamless, accessible way to enhance coding productivity while staying in the environment developers are already comfortable with.Starting Price: Free -
19
LangChain
LangChain
LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability. -
20
happycapy
happycapy
happycapy is an agent-native AI platform that turns your browser into a powerful “agent computer,” enabling developers and users to deploy and run autonomous AI agents 24/7 without traditional server infrastructure, letting you delegate work across hundreds of large language models (LLMs) and AI services such as Claude Code in a secure, sandboxed environment. It supports running multiple AI agents in parallel to handle coding, automation, data-processing, and custom workflows continuously, giving teams a unified interface for orchestrating, scaling, and monitoring agent tasks. happycapy emphasizes flexibility and developer control by providing a private sandbox where agents can execute jobs, interact with code and data, and collaborate on complex tasks while managing state, logs, and outputs from AI services. It simplifies building and maintaining AI-powered applications by abstracting the complexity of infrastructure and model orchestration.Starting Price: $17 per month -
21
Cua
Cua
Cua is a computer-use agent platform that lets AI agents see screens, click buttons, type, and run code just like a human across macOS, Windows, Linux, browsers, and mobile environments. It provides cloud-based, sandboxed desktops where agents can automate real software workflows without relying on APIs. Built on open-source Cua agents, the platform enables developers to build, run, and scale computer-use agents with precision and reliability. Cua supports multi-step tasks, structured outputs, and human-in-the-loop recovery for complex automation. Agents operate in fully isolated environments to ensure safety and reproducibility. Cua is designed to make AI interaction with real applications practical and scalable.Starting Price: $10/month -
22
Composio
Composio
Composio is a platform that enables AI agents to seamlessly interact with external tools and applications. It provides pre-built integrations with over 1,000 apps, allowing agents to execute tasks across services like Slack, Gmail, GitHub, and more. The platform handles complex processes such as authentication, tool execution, and sandboxed environments automatically. Composio supports dynamic tool selection, ensuring agents use the right tools based on user intent. It also enables secure, parallel execution of workflows in isolated environments. Developers can build agents that move beyond conversation to perform real-world actions. By simplifying integrations and execution, Composio helps turn AI agents into powerful, task-performing systems.Starting Price: $49 per month -
23
Gloria
Termius
Gloria is an AI-powered DevOps agent designed to automate routine infrastructure and operational tasks through a command-line interface, enabling developers and operators to manage systems more efficiently without constant manual intervention. It works directly within the terminal and can be accessed from any system, providing a familiar environment for technical workflows while extending capabilities through AI-driven execution. It maintains awareness of a user’s infrastructure, including services, configurations, and stack details, allowing it to determine the most appropriate commands and actions for each task. Gloria operates as a persistent, isolated instance accessible via SSH, enabling users to start tasks on one device and monitor or continue them from another, with 24/7 availability. It uses specialized tools to plan and execute complex operations, connect securely to servers, monitor command execution in real time, and document progress through notes. -
24
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. -
25
Agent Zero
Agent Zero
Agent Zero is an open source AI agent framework designed to run autonomous AI assistants that can perform complex tasks by interacting directly with a computer system. It provides an environment where AI agents operate with real system access, allowing them to execute commands, write and run code, browse the web, analyze data, and manage workflows as part of real-world automation processes. Instead of functioning as a simple chat interface, Agent Zero runs in its own virtual environment where it can interact with the operating system, install tools, execute scripts, and coordinate tasks across multiple components. It emphasizes transparency and control, allowing developers to view, modify, and customize how the agent behaves, what tools it can access, and how it processes information. Agent Zero uses a modular architecture that allows the agent to dynamically create and use tools while maintaining persistent memory.Starting Price: $2.65 per month -
26
Fly.io
Fly.io
Fly.io is a modern cloud platform designed to help developers deploy and run applications quickly and efficiently. It uses lightweight virtual machines called Fly Machines that start instantly and scale based on demand. The platform allows developers to run any code in secure, hardware-isolated environments without complex infrastructure setup. Fly.io supports global deployment across multiple regions, ensuring low-latency performance for users worldwide. It also includes built-in private networking, storage solutions, and monitoring tools. Developers can use their preferred frameworks and tools without needing extensive configuration. By simplifying cloud infrastructure, Fly.io enables teams to build, deploy, and scale applications with ease.Starting Price: $0.02 per GB -
27
DockClaw
DockClaw
DockClaw is a managed hosting platform for OpenClaw that enables users to deploy and run autonomous AI agents in seconds without handling servers, Docker, or DevOps setup. It allows users to launch AI-powered agents that connect to messaging platforms such as Telegram and other communication channels, where they can operate continuously to automate workflows, respond to users, and execute tasks. It provides one-click deployment on dedicated virtual machines or isolated containers with 24/7 uptime, persistent storage, and health monitoring, ensuring agents remain always available and stable. Users can choose from multiple AI models, including Claude, GPT, Gemini, Llama, and other OpenAI-compatible systems, and switch between them without lock-in. DockClaw includes built-in configuration tools for customizing agent behavior, memory, and system prompts, as well as secure handling of API keys through encrypted environments and zero-knowledge architecture.Starting Price: $19.99 per month -
28
NVIDIA NIM
NVIDIA
Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes. -
29
1DevTool
StoicSoft
1DevTool saves developers 40+ minutes every day by eliminating the constant switching between Chrome, terminal, AI tools, and notes apps. One workspace. Zero interruptions. 🐛 Browser + AI — Stop copy-pasting errors to your AI terminals One click sends console logs, network requests, errors, and screenshots straight to your AI agent. No more switching between Chrome and terminal 20+ times a day. Works with Claude, Codex, Gemini & AMP. Saves ~30 seconds per bug report. ✍️ Agent Prompt Editor — Write better prompts without leaving your terminal A rich prompt editor built into your terminal. @ mention files, drag-and-drop images, format with markdown. Saves ~15 seconds per prompt — 7+ minutes daily. 💾 Persistent Terminals — Close the app. Reopen. Nothing lost. Every terminal session is exactly where you left it — scrollback, running processes, agent conversations. Restart your machine, come back hours later, pick up instantly. Saves ~5 minutes per restart.Starting Price: $29 one-time payment -
30
E2B
E2B
E2B is an open source runtime designed to securely execute AI-generated code within isolated cloud sandboxes. It enables developers to integrate code interpretation capabilities into their AI applications and agents, facilitating the execution of dynamic code snippets in a controlled environment. The platform supports multiple programming languages, including Python and JavaScript, and offers SDKs for seamless integration. E2B utilizes Firecracker microVMs to ensure robust security and isolation for code execution. Developers can deploy E2B within their own infrastructure or utilize the provided cloud service. The platform is designed to be LLM-agnostic, allowing compatibility with various large language models such as OpenAI, Llama, Anthropic, and Mistral. E2B's features include rapid sandbox initialization, customizable execution environments, and support for long-running sessions up to 24 hours.Starting Price: Free -
31
Visa CLI
Visa
Visa CLI is a command-line interface developed by Visa Crypto Labs that enables AI agents and automated workflows to execute secure card payments directly from the terminal, introducing a new model of “command line commerce.” It allows developers to integrate payments into coding environments without relying on traditional API keys or pre-funded accounts, reducing setup complexity and minimizing security risks associated with credential management. Instead of navigating graphical interfaces, users and AI agents interact through text-based commands, which are inherently more compatible with machine-driven processes and automation. Visa CLI supports programmatic payments, allowing agents to pay for services such as APIs, datasets, or digital resources on demand as part of real-time workflows. It uses secure authentication methods like tokenization and certificate-based access, helping ensure that transactions remain protected while simplifying implementation.Starting Price: Free -
32
Codebuff
Codebuff
Codebuff is an AI-powered coding assistant that runs directly in the terminal, allowing developers to generate, edit, and manage codebases through natural language instructions without leaving their existing development environment. It functions as a coding agent that can read and understand an entire project structure, including files, dependencies, and patterns, enabling it to make precise, context-aware changes across multiple files rather than isolated edits. It uses a multi-agent system that coordinates specialized roles such as file selection, planning, editing, and validation to produce higher-quality outputs with fewer errors compared to single-model tools. Developers can simply describe tasks like adding features, fixing bugs, or refactoring code, and Codebuff automatically identifies relevant files, executes changes, runs terminal commands, installs dependencies, and verifies results through testing.Starting Price: 1¢ per credit -
33
Bytebot
Bytebot
Bytebot is a desktop agent platform that automates real work by using computers the same way a human does. It spins up a fresh, sandboxed desktop in the cloud and completes tasks by clicking, typing, and navigating apps through the user interface. Bytebot works across any software because it interacts directly with the screen, keyboard, and mouse. Users can scale from a single agent to hundreds running in parallel. The platform includes a full computer environment with a browser, file system, terminal, and code editor. Bytebot supports guided recovery, allowing users to step in and resume tasks if needed. It provides detailed logs and screenshots for full transparency and control.Starting Price: Free -
34
Hermes Agent
Nous Research
Hermes Agent by Nous Research is an open-source autonomous AI agent designed to run locally on your server and improve over time. It operates independently from traditional chatbots by maintaining persistent memory and learning from past interactions. The agent can integrate with multiple platforms such as Slack, Discord, Telegram, and WhatsApp through a unified gateway. Hermes supports automation tasks like scheduling reports, managing workflows, and executing commands using natural language. It also enables parallel task execution through subagents, improving efficiency for complex operations. With built-in tools for web browsing, search, and code execution, it provides a versatile environment for various tasks. Overall, Hermes Agent acts as a continuously evolving AI system that adapts to user needs and workflows.Starting Price: Free -
35
NVIDIA AI Enterprise
NVIDIA
The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute. -
36
Codex Security
OpenAI
Codex Security is an AI-powered application security agent developed by OpenAI to help teams detect and fix vulnerabilities in software systems. The tool analyzes code repositories to understand the structure, architecture, and potential risk areas within a project. Using this context, it identifies complex security issues that traditional scanning tools might overlook. Codex Security prioritizes vulnerabilities based on their real-world impact, helping security teams focus on the most critical threats. The system also validates findings through sandboxed testing environments to reduce false positives and improve accuracy. Once vulnerabilities are confirmed, it proposes patches and remediation steps that align with the system’s existing behavior. By combining AI reasoning with automated validation, Codex Security helps development teams ship more secure code faster. -
37
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. -
38
Agent S
Simular
Agent S is an open-source agentic framework built to enable autonomous computer use through an Agent-Computer Interface (ACI). It allows AI agents to operate graphical user interfaces similarly to humans by perceiving screens, reasoning through objectives, and executing actions across macOS, Windows, and Linux systems. The latest release, Agent S3, achieves state-of-the-art results on the OSWorld benchmark and surpasses human-level performance in complex multi-step computer tasks. By combining powerful foundation models such as GPT-5 with grounding models like UI-TARS, the framework translates visual inputs into accurate executable commands. Agent S supports multiple deployment options, including CLI, SDK, and cloud environments. It integrates seamlessly with leading model providers such as OpenAI, Anthropic, Gemini, Azure, and Hugging Face endpoints. -
39
Membase
Membase
Membase is a unified AI memory layer platform designed to help AI agents and tools share and persist context so they “understand you” across sessions without forced repetition or isolated memory silos, enabling consistent conversational experiences and shared knowledge across AI assistants. It provides a secure, centralized memory layer that captures, stores, and syncs context, conversation history, and relevant knowledge across multiple AI agents and integrations with tools such as ChatGPT, Claude, Cursor, and others, so all connected agents can access a common context and avoid repeating user intents. Designed as a foundational memory service, it aims to maintain consistent context across your AI ecosystem, reducing friction and improving continuity in multi-tool workflows by keeping long-term context available and shared rather than locked within individual models or sessions, and letting users focus on outcomes instead of re-entering context for each agent request. -
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
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. -
42
Supersonic
Supersonic
Supersonic is a terminal-first, AI-native CRM designed specifically for agentic workflows, where AI agents handle core customer relationship management tasks instead of human operators. It is built around the Model Context Protocol (MCP), exposing every CRM action as a structured tool that AI systems like Claude, Cursor, or Codex can directly use to manage data and execute operations. It provides a unified pipeline through which all actions flow, giving AI agents the same capabilities as a traditional user interface, including data entry, lead qualification, deal updates, and follow-ups. With a system composed of 91 tools across 17 categories, Supersonic enables agents to interact with the CRM in a consistent, predictable way, reducing errors and improving automation reliability. It eliminates manual input by allowing agents to autonomously update records, trigger workflows, and maintain customer data in real time.Starting Price: $25 per month -
43
JDoodleClaw
JDoodleClaw
JDoodleClaw is a managed infrastructure platform that provides users with a private virtual machine pre-configured with OpenClaw, enabling them to run autonomous AI agents without handling setup, deployment, or DevOps tasks. It automatically provisions an isolated environment with dedicated compute resources, where OpenClaw is already installed and ready to use, allowing users to start building and running agents within minutes. It follows a bring-your-own API key model, giving users full control over which AI providers and credentials are used, while keeping all processing within their own private infrastructure. It eliminates the complexity of self-hosting, which typically involves configuring servers, installing dependencies, and maintaining environments, by handling provisioning, updates, and backups automatically. Each instance runs independently rather than in shared containers, improving data isolation, control, and performance consistency.Starting Price: $20 per month -
44
MaxClaw
MiniMax
MaxClaw is a managed AI agent deployment environment created by MiniMax that allows users to launch autonomous AI agents instantly without needing to configure servers, infrastructure, or maintenance. It is designed to simplify the process of building and running intelligent agents by providing an always-on environment where agents can execute tasks, interact with tools, and respond to requests continuously. MaxClaw integrates with the broader MiniMax Agent ecosystem, which uses advanced AI models capable of multi-step planning, reasoning, and task execution across complex workflows. Instead of manually deploying agent frameworks or maintaining cloud infrastructure, users can deploy an operational AI agent within seconds, allowing the system to handle tasks such as automation, research, content generation, coding, or data analysis. -
45
SWE-agent
SWE-agent
SWE-agent is an advanced AI-powered tool designed to automate various tasks such as fixing GitHub issues, performing cybersecurity operations like Capture The Flag (CTF) challenges, and solving coding problems. By leveraging language models such as GPT-4 or Claude, it interacts with isolated computer environments to carry out tasks autonomously, providing highly customizable solutions for developers and cybersecurity professionals. The platform supports a wide range of use cases, from improving software repositories to identifying vulnerabilities, and even executing custom tasks. Developed by researchers from Princeton and Stanford University, SWE-agent offers a powerful way to integrate machine learning with practical problem-solving in both software development and security fields.Starting Price: Free -
46
Fellou
Fellou
Fellou is the world's first agentic browser that automates complex tasks. Enjoy hands-free research, cross-platform workflow automation, and intelligent task execution across the web. Fellou's Deep Action feature transforms intricate multi-step tasks, like form submissions, report generation, or scheduling, into simple commands. Its proactive intelligence anticipates user needs, offers action recommendations, and builds a personalized knowledge base. Fellou operates in a sandboxed environment, allowing agents to execute tasks in the background without disrupting the user's workflow. It enables users to create, share, and utilize specialized agents tailored to specific domains or tasks. Fellou supports cross-platform deep search, enabling parallel searches across public websites and authenticated platforms like Quora, X, and LinkedIn, and can generate shareable visual reports. -
47
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 -
48
Forge Code
Forge Code
Forge Code is a terminal-based AI pair-programmer and software-engineering agent that lets you interact with your entire codebase using natural language commands. It runs directly in your shell, integrating seamlessly with any IDE or existing workflow; you don’t need to switch editors or abandon your regular tools. Forge Code understands project files, Git history, dependencies, and environment context, so once it loads your project, it comprehends the codebase structure and can respond to prompts without repeated explanations. It offers a multi-agent architecture: a “Forge Agent” for implementing changes and real code execution, and a “Muse Agent” for planning, analyzing, and reviewing code without altering files. You can use Forge with your preferred AI provider or self-hosted LLMs, giving full control over where your code goes and how the model is run.Starting Price: $20 per month -
49
10ex
10ex.ai
10ex is an AI-agentic growth and operations platform that enables companies to design, deploy, and run autonomous AI agents to execute real business workflows across marketing, sales, and research. Unlike traditional automation tools or single-purpose AI features, 10ex provides a unified system for building micro agents and multi-agent workflows that perform end-to-end tasks such as content creation, lead generation, outbound personalization, research, and demand generation—at a scale and speed that would normally require large teams. Core Capabilities AI Agents & Micro Agents: 10ex allows users to access and create specialized AI agents (e.g. Email Template Generator, Lead Magnet Generator, Research Agents) that are outcome-driven and designed for specific business jobs. Each agent operates with defined skills, structured inputs, and high-quality outputs, powered by modern LLM agent frameworks (e.g. Claude Agent SDK).Starting Price: $1000 -
50
Calljmp
Calljmp
Calljmp is a developer-first AI agent runtime designed to build, run, and scale long-running stateful workflows written in TypeScript. While many modern tools like Mastra AI provide rich frameworks to define agents and workflows, Calljmp focuses on actually running them reliably in production. Calljmp combines agent logic, durable execution, human-in-the-loop pause/resume, retries with idempotency, and built-in observability into a unified execution environment. Developers implement agents as code, and the runtime guarantees reliable execution, state persistence, and operational visibility without gluing together custom queues, databases, and monitoring stacks. Calljmp is ideal for engineering teams, product developers, and backend architects who want to embed intelligent agents into product systems while offloading execution complexity to a purpose-built runtime.Starting Price: Free
