Alternatives to TODO for AI

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

Creatio is a global vendor of an agentic AI-native no-code platform designed to automate workflows and CRM with a maximum degree of freedom. Powered by intuitive no-code development, visual process design, and embedded AI, the Creatio platform enables organizations to build and evolve applications of any complexity and scale—supporting both structured and unstructured workflows, advanced analytics, and flexible dashboards. By empowering business users alongside IT, Creatio reduces application development time by up to 10× and accelerates time-to-value. At the core of the platform are AI agents that can understand context, analyze data, make decisions, and execute tasks across end-to-end workflows. This agentic approach allows organizations to automate entire business processes, not just individual tasks—driving efficiency, agility, and measurable business outcomes. Creatio also provides a rich marketplace of pre-built applications, connectors, and industry-specific solutions, enabling rapid deployment and continuous innovation. Built on a modern, AI-native architecture, the platform ensures seamless integration and adaptability within any digital ecosystem. Creatio is headquartered in Boston, US, has 1000 employees, 7 offices globally, and $300M in revenue. Creatio CRM is a full-featured suite for marketing, sales, and service automation, unified on the same agentic no-code platform with embedded AI agents. Organizations can deploy it as a complete CRM suite or as modular solutions, gaining the flexibility to scale while maintaining a single, intelligent system of engagement.

Grok Bot is an AI teammate platform that allows users to assign work to bots across their tools, apps, websites, and business workflows. The platform is designed for AI agents that can sign in to tools, operate them like a user would, and complete projects from start to finish. Users can message bots like teammates on desktop or iOS, give them tasks, and receive completed work or approval requests when needed. Grok Bot supports multiple bots working at once, making it possible to run one bot for outbound sales, another for expenses, another for inbox management, and another for systems or project operations. Bots can learn by watching a user complete a workflow, save that process as a routine, and repeat it later on a schedule. They keep context over time, learn from each other, and can collaborate inside shared threads by passing work between bots. Example workflows include researching accounts, scoring contacts, drafting email and LinkedIn messages, managing receipts, clearing inboxes, preparing follow-ups, booking venues, and creating recap documents. The platform includes a persistent cloud computer that bots share, allowing them to keep files, browser sessions, logins, and context available across work. By combining agentic task execution, tool access, workflow learning, scheduled routines, multi-bot collaboration, and approval checkpoints, Grok Bot helps users turn AI into an active teammate.

Grok 4.7 is SpaceXAI’s advanced AI model for software development, professional knowledge work, and multi-step agentic tasks. It is built on a larger base model than Grok 4.6 and uses a longer reinforcement learning training run weighted toward difficult problems that require extended execution time. The model is better at checking its own work, maintaining longer context, and completing complex workflows that span many steps. Native support for the Grok Bot harness improves its conversational abilities and makes it more capable across general knowledge and interactive work. Grok 4.7 is positioned for use in coding, terminal automation, legal workflows, document and presentation creation, electrical engineering, healthcare reasoning, and other professional tasks. SpaceXAI also reports improvements across software engineering benchmarks including CursorBench and DeepSWE as well as professional-work evaluations such as AA Briefcase. The model includes a redesigned safety system intended to improve refusal behavior, jailbreak resistance, and handling of potentially dangerous cybersecurity and biological requests. Developers can access Grok 4.7 through Grok Build, Cursor, the Grok API, third-party coding tools, cloud providers, and model-routing platforms. Grok 4.7 is priced starting at $2 per million input tokens and $6 per million output tokens, with a faster variant available at a higher price.

Cohesive is the workspace where people and agents work as one. Today's tools were built for solo human operation: chat boxes, sidebars, and brittle automations layered onto interfaces designed for a different era. Cohesive is built for two participants working in one space. Humans and agents see the same context, work on the same artifacts, and improve the same systems together. A Canvas holds calls, CRM deals, Slack threads, and sheets side by side. Teammates and the agent work on them in real time. Point the agent at a call, a deal, and a sheet, and it drafts the Monday brief with its sources. Automations run that kind of recurring work on a schedule and post to Slack after a teammate's OK. It works inside the tools your team already runs on, from Slack to Zoom to your CRM. Bring your own Claude or GPT plan if you have one. Plans start at $20 per seat per month, with a 14-day free trial and no credit card required. Enterprise adds SSO, SCIM, and private connectors.

HOL Guard is a security layer designed for AI agents that operates on a local-first basis, monitoring the actions of an AI assistant and preemptively preventing potentially harmful activities. It functions as an intermediary between the agent and the computer, assessing tool calls and local resources for various threats, including the risk of secret and credential leaks, harmful commands, actions driven by prompt injection, and the use of compromised or altered packages, as well as risky configurations and unsafe plugins, skills, hooks, and settings. Threats that are identified can be automatically blocked, while uncertain actions are temporarily halted to seek user consent, ensuring that individuals maintain oversight. Operating entirely on the developer’s local machine, Guard does not require an internet connection and refrains from uploading any files, prompts, or sensitive information. Local evaluations are typically completed in less than 50 milliseconds, and the implementation of Guard does not necessitate modifications to current code or workflows. It is compatible with various coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, providing custom integrations that analyze actions prior to their execution. Additionally, this enhances the overall safety and reliability of AI interactions, fostering greater trust in automated processes.

Pushary alerts you on your phone whenever your AI agents require your input. Agents like Claude Code, Codex, and Cursor halt their processes for your approval on potentially risky actions, such as executing shell commands, writing files, or deploying updates. Each time an action is paused, Pushary sends you a notification that you can accept or decline directly from your lock screen, allowing your agents to continue operating seamlessly while you are not at your desk. Establish permission policies tailored to each tool: automatically approve safe operations, demand your approval for those deemed risky, and maintain a comprehensive audit trail of every interaction. You can manage an entire fleet of agents and monitor their activities from a single dashboard. In addition, Pushary facilitates push notifications for e-commerce and SaaS platforms, offering features like subscriber capture, marketing campaigns, automated workflows, customizable templates, and insightful analytics. You can effortlessly connect any agent using a straightforward CLI or MCP, and the package includes native applications for both iOS and Android devices. With Pushary, you gain a robust solution for managing both AI agents and notifications across various platforms.

Gemini Managed Agents offers an intuitive visual interface for users to prototype and gain insights into the development of managed agents without the need for manual API calls. With the Gemini API, developers can utilize a configurable agent framework that allows for a single API call to set up a secure Linux environment, enabling the agent to autonomously reason, execute code, handle files, and navigate the web. Within AI Studio Playground, users can easily access the Agents tab to begin their projects using pre-designed templates that set up the foundational Antigravity Agent alongside various tools, environmental configurations, directives, and competencies. This Antigravity Agent serves as a versatile managed agent, driven by Gemini 3.5 Flash, equipped to execute code, oversee file management, conduct online searches, and be personalized with additional instructions, skills, and information. The characteristics, persona, and functionalities of the agents are determined by specific files within their environment, such as AGENTS.md for overarching system directives and persona, as well as SKILL.md files that detail particular capabilities and processes. By utilizing these resources, developers can enhance their agents' performance and tailor their functionalities to suit specific needs.

Cua is a unified infrastructure for building and deploying computer-use AI agents that interact directly with operating systems and applications. Instead of automating through integrations, Cua agents work visually—understanding interfaces, clicking UI elements, typing text, and navigating software naturally. The platform supports Linux, Windows, and macOS sandboxes with cloud-based scaling. Developers can run agents via a managed UI or integrate them programmatically using the Python Agent SDK. Cua also provides dataset generation, trajectory recording, and benchmarking tools to train and evaluate agents. With pay-as-you-go pricing and smart model routing, Cua balances performance and cost efficiently. It is fully open source and designed for production-grade automation.

Cumora is an innovative collaborative environment where both humans and AI agents function as partners, moving beyond the traditional notion of AI as a mere chatbot waiting for commands. Each AI agent is equipped with a distinct persona, memory, status, role, voice, customizable system prompt, and a private area for managing files, notes, and insights. These agents are capable of retaining context from previous discussions, gradually developing a deeper understanding of their human collaborators, and they can proactively engage by reaching out to teammates, sharing insights, or forming small groups based on observations they make. The workspaces are designed to facilitate human invitations, manage projects, attach files, group agents, and maintain a synchronized experience across desktop, browser, and mobile platforms. Additionally, agents have the ability to communicate directly with each other, while Whisper rooms provide a unique opportunity for users to observe these conversations without actively participating, fostering a comprehensive collaborative atmosphere. This dynamic setup encourages creativity and enhances productivity, making it easier for teams to work cohesively.

Buzz serves as a self-hosted workspace that facilitates collaboration between humans and AI agents within shared environments, all managed by a team-owned relay. This platform unifies discussions, automated agents, workflows, repositories, documents, searches, and other digital assets into one cohesive workspace that operates under a single identity model and comprehensive event log. Each interaction—whether it be a message, reaction, workflow progression, approval, canvas modification, huddle occurrence, or Git action—is meticulously documented as a cryptographically signed Nostr event, ensuring that both individuals and processes have access to a consistent audit trail. Unlike traditional bots, agents in Buzz are treated as team members; they can be integrated into channels just like any colleague, equipped with individual keys and specific memberships, enabling them to perform tasks such as opening repositories, sending patches, reviewing code, executing workflows, modifying canvases, coordinating with other agents, creating channels, joining voice huddles, and connecting the appropriate individuals to the task at hand. In addition to these features, Buzz offers the ability to search through project history, providing users with relevant answers accompanied by supporting threads, patches, runs, and approvals, ultimately enhancing the collaborative experience. By fostering an integrated environment, Buzz empowers teams to leverage the strengths of both human and AI collaboration effectively.

ReportArk serves as a dedicated platform for the sharing and evaluation of completed HTML reports. Users can upload either a single HTML document or a compressed package that includes HTML, styles, scripts, images, and fonts, allowing for the distribution of a consistent browser link without converting interactive elements into static images or PDFs. With an active share link, anyone can access the report, while teammates who have been approved and logged in can leave comments adjacent to specific headings, tables, charts, or findings, and authorized reviewers can view this feedback along with its contextual location. Report owners possess the ability to secure their content with a password, temporarily disable sharing, and modify the report's content without altering the shared link. Additionally, the platform supports an HTML-report-sharing Skill and scoped API keys to facilitate agent and script publishing workflows. ReportArk is specifically designed for outputs from AI agents, test reports, audits, research, benchmarks, and client deliverables, rather than serving as a general file storage solution. By centralizing feedback and collaboration, ReportArk enhances the overall review process, making it easier for teams to engage with and improve their reports.

Clawd.run is an innovative platform designed for the creation and deployment of AI agents capable of executing real tasks using advanced language models such as Claude, GPT-4, Grok, or Gemini, seamlessly integrating web search, memory, file analysis, and automation to create personalized assistants. Users can easily develop agents with specific personalities and objectives, linking them to messaging platforms like Discord, WhatsApp, or the site's web chat, allowing for immediate interaction without the need for complex infrastructure. These agents feature secure data storage, do not learn from user conversations, and can recall previous interactions to enhance their utility over time while offering sophisticated functions such as research synthesis, content creation, and document data extraction. The platform simplifies the setup process with straightforward steps (name your agent, connect the channel, and begin chatting), accommodates file uploads for extracting insights, and enables users to delegate tasks, treating the agent like an assistant capable of researching, writing, coding, and analyzing various tasks. Additionally, Clawd.run empowers users to refine their agents continuously based on feedback, ensuring that interactions become increasingly tailored and effective.

IronClaw is an open-source runtime that prioritizes security, designed specifically for the execution of autonomous AI agents while incorporating robust protections for sensitive credentials and system access. This platform serves as a security-centric alternative to OpenClaw, functioning within encrypted enclaves on the NEAR AI Cloud or locally to safeguard sensitive information during its operation. Users can effortlessly launch AI agents via a one-click setup, ensuring that API keys, tokens, and passwords are securely stored in an encrypted vault, inaccessible to the AI itself. IronClaw takes security further by isolating each tool within its own WebAssembly sandbox, employing capability-based permissions and enforcing strict resource limitations to ensure that any compromised functionalities do not jeopardize the overall system. Constructed in Rust, it upholds memory safety at compile time, successfully mitigating common vulnerabilities like buffer overflows and use-after-free errors. With these features, IronClaw not only enhances the security of AI deployments but also instills confidence in users regarding the integrity of their sensitive data throughout the execution process.

Cowork.ink is an advanced AI-driven platform that allows users to automate business processes using autonomous digital agents. These agents act as virtual team members, capable of performing tasks across functions such as customer support, marketing, data analysis, and software development. Each agent runs on its own secure cloud-based environment, enabling it to perform activities like web browsing, coding, file management, and software installation. Users can create custom workflows by describing tasks in plain language, which the system converts into reusable and automated skills. Cowork.ink also supports scheduling, allowing agents to execute tasks at specific times without ongoing supervision. The platform continuously learns from user interactions, improving performance and efficiency over time. It includes strong security features such as encryption, sandboxing, and strict permission controls. Cowork.ink is designed to reduce manual workload and eliminate repetitive tasks across teams. Its flexible architecture allows it to adapt to different industries and workflows. Ultimately, it empowers users to focus on high-value work while AI handles the operational tasks.

SPIRITT is a cloud-driven workspace designed for AI agents, catering to the needs of founders, startups, and corporate teams alike. These agents operate using specialized cloud computing resources, browsers, and memory to manage various tasks in engineering, sales, operations, and administrative functions, which encompass writing, testing, and deploying applications for production. They seamlessly integrate with over 1,500 business tools, create necessary integrations, and maintain communication through platforms like Slack, Microsoft Teams, email, and WhatsApp. Additionally, SPIRITT ensures that scheduled routines operate continuously, even when a user's laptop is powered down. For added security, certain sensitive actions may require user approval, and each agent is subject to budgetary limits to manage expenses effectively. The platform leverages a combination of models, such as Claude, GPT, Gemini, Grok, alongside its proprietary Kay models to optimize performance on specific tasks. Furthermore, agents are capable of both initiating and receiving phone calls. Users can access SPIRITT through a desktop application compatible with Windows, macOS, and Linux, which provides controlled access to local files and terminal commands. For enterprises, there are options for bring-your-own-cloud solutions, air-gapped deployments, and the potential for white labeling, ensuring flexibility and customization for various organizational needs. This comprehensive suite of features positions SPIRITT as a versatile tool for enhancing productivity across multiple sectors.

QwenPaw is an open-source personal AI agent framework designed to simplify the creation and deployment of intelligent assistants. It allows users to quickly set up AI agents using various installation options, including local environments, cloud platforms, and desktop applications. The platform integrates with over 10 communication channels, enabling seamless interaction across messaging and collaboration tools. QwenPaw includes advanced memory and personalization features, allowing agents to learn user preferences and deliver tailored responses. It introduces custom lightweight models that can run locally without cloud dependency, making it suitable for privacy-sensitive environments. The platform supports multi-agent workspaces, where multiple AI agents can operate independently and collaborate asynchronously. Its three-layer security architecture ensures protection against runtime threats, unauthorized file access, and unsafe tool usage. QwenPaw is designed for a wide range of use cases, including productivity, research, content creation, and social media monitoring. Developers can extend its capabilities through customizable tools and integrations. The framework is optimized for efficiency, reducing maintenance costs and improving long-term scalability. QwenPaw empowers users to build intelligent, secure, and personalized AI assistants for everyday tasks.

CallMeMCP offers a hosted MCP server along with a companion app, available for both iPhone and Android, allowing AI agents to contact users for decisions, updates, or responses. The system enables an agent to initiate an internet-based call that audibly presents a prompt, capturing the user's spoken reply as text, as well as to send messages, receive written responses, and maintain a brief interactive dialogue. Each session with an agent can feature its own unique conversation thread, enhancing user engagement. The service operates through a Streamable HTTP MCP endpoint while also supplying HTTP endpoints compatible with various clients. Comprehensive setup instructions are available for a variety of MCP clients, including Claude Code, Codex, Cursor, ChatGPT, Gemini CLI, Grok, and others. The mobile application assigns users an in-app number, ensuring that calls are made via Wi-Fi or mobile data instead of using a traditional carrier phone number. Designed with developers and AI agent users in mind, CallMeMCP facilitates responses even when users are away from their computers, making it a versatile tool in the realm of AI communication. Users can thus enjoy seamless connectivity and interaction, ensuring they stay informed and responsive at all times.

Mindra serves as a proactive orchestrator for flexible AI workflows, centered on teams of agents that you can genuinely assign tasks to. When you outline your requirements, Mindra assembles a dedicated team of agents that operate around the clock, communicate effectively, and take actionable steps within your entire system. Each team comprises specialists, each focused on a particular channel, tool, or area of expertise, collaboratively sharing information, delegating tasks, and completing projects through structured workflows and real-time coordination. Every decision and attempt is meticulously documented, ensuring that if a tool encounters an issue or an API hits its limit, the agent can navigate the situation while maintaining a complete record that is easy to audit, replay, and troubleshoot. Beyond simple communication, Mindra agents are capable of pausing campaigns, optimizing spending, reallocating budgets, and posting updates to platforms like Slack and email, all while logging each action with the option to reverse changes. Teams can articulate their objectives, and Mindra designs a tailored orchestrator that outlines the necessary sub-agents and tools it will employ, ensuring a personalized and effective approach to workflow management. This dynamic system empowers organizations to maintain agility in their operations while fostering seamless collaboration among specialized agents.

The Agents API enables developers to create and operate cloud agents utilizing the same framework and infrastructure that supports Codex, all under the management of OpenAI. By making a simple API request, users can establish a fully operational agent by defining the specific task, model, tools, and environment, with OpenAI overseeing the agent's infrastructure. Developers have the flexibility to select where their agents are deployed: whether in an OpenAI-managed sandbox, on personal servers, or via authorized sandbox partners. The OpenAI-managed sandboxes offer secure environments for agents to execute code, interact with files, utilize packages, skills, and plugins, and generate outputs. Designed for tasks that require extended operation, the API features automatic context compaction to retain pertinent information across multiple context windows within sessions. Additionally, the tool search function efficiently loads relevant definitions only as needed, while programmatic tool invocation allows agents to execute calls simultaneously, chain related tasks, and filter or merge results seamlessly in code. This comprehensive approach not only enhances efficiency but also empowers developers to create more sophisticated applications.

happycapy serves as an agent-native AI platform that transforms your web browser into a robust "agent computer," allowing developers and users to launch and operate autonomous AI agents around the clock without relying on conventional server setups. This innovation enables the delegation of tasks to numerous large language models (LLMs) and AI services, including Claude Code, all within a secure, sandboxed environment. By facilitating the simultaneous operation of multiple AI agents, happycapy effectively manages coding, automation, data processing, and custom workflows, providing teams with a cohesive interface for orchestrating, scaling, and monitoring agent-related activities. The platform prioritizes flexibility and developer autonomy through a private sandbox, where agents can perform tasks, engage with code and data, and collaborate on intricate projects while overseeing state, logs, and outputs from various AI services. Additionally, happycapy streamlines the development and upkeep of AI-driven applications by simplifying the complexities associated with infrastructure and model management. This makes it easier for teams to harness the full potential of AI technology in their workflows.

NullClaw is a highly efficient, ultra-lightweight AI assistant framework crafted in Zig and distributed as a single static binary, enabling it to operate seamlessly on nearly any type of hardware. Its focus is on delivering exceptional performance while minimizing resource consumption, as evidenced by its compact size of approximately 678 KB and a typical RAM usage of around 1 MB, with boot times of less than two milliseconds. By steering clear of traditional runtime overhead associated with virtual machines, interpreters, and complicated dependency chains, it allows developers to deploy agents effortlessly by executing the compiled binary. In spite of its minimal footprint, NullClaw boasts a comprehensive autonomous agent architecture that accommodates over 22 model providers, 18 communication channels, hybrid vector and FTS5 memory, as well as capabilities for streaming, voice, and multi-layer sandboxing. Moreover, security features are inherently integrated, including workspace scoping, explicit command allowlists, encrypted secrets, and robust sandbox isolation through tools like Landlock, Firejail, or Docker. Its design ensures that users can trust the integrity and functionality of their autonomous agents while maximizing efficiency across various applications.

StarTeammate is a cloud-based platform designed to assist solo entrepreneurs and small businesses by creating AI agents that streamline digital tasks. Users have the capability to generate various agents, link their preferred applications, and enable these agents to utilize a cloud computer and web browser for executing tasks within online platforms. Additionally, users can schedule tasks to occur at specific times, with outcomes sent via email or as downloadable files. A comprehensive activity log captures all agent activities for later review, ensuring transparency and accountability. This platform is particularly suited for entrepreneurs and small teams aiming to outsource repetitive or complex computer tasks to AI-driven agents. Furthermore, the usage of the platform is governed by plan allowances that are credit-based, with the extent of usage determined by the chosen subscription plan. StarTeammate also features integration with Claude Code and Codex via the Model Context Protocol (MCP), enhancing its functionality and versatility. Overall, the platform offers a robust solution for those looking to leverage artificial intelligence in managing their digital workloads effectively.

AI-Harness is a cloud-based platform that provides AI agents tailored for local businesses seeking to oversee their online presence, social interactions, and customer feedback within a single workspace. These agents are responsible for managing business listings on various search engines and directories, scheduling and posting social media content, engaging with comments and messages, tracking customer reviews, crafting responses that align with the brand, and sending invitations for reviews via text or email. Business owners have the ability to establish approval protocols for outgoing communications, monitor activity logs, and set financial limits that temporarily halt agent actions once those thresholds are met. This service is specifically created for owner-operated enterprises and teams operating in sectors such as dining, retail, real estate, dental services, home improvement, and beauty and wellness. The platform offers various plans that cater to both single-location businesses and those with multiple sites, each featuring distinct allowances, controls, and reporting capabilities tailored to the specific needs of the organization. Additionally, the flexibility of the plans ensures that businesses can scale their online management efforts as they grow.

Ovrin serves as a cloud-based computing platform tailored for developers who are creating AI agents and other software that necessitates execution within regulated environments. Users can leverage a REST API, alongside Python and TypeScript SDKs, or an MCP server to establish temporary Linux sandboxes, execute shell commands and stateful code, handle file management, configure scoped API keys, and access execution results. The platform features preconfigured setups such as Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness, while browser workflows are compatible with Chrome and Playwright. Additionally, it provides functionalities like persistent memory, controls for sandbox lifecycles, usage tracking, and limits on concurrency. Common applications of Ovrin include executing coding agents, automating browser tasks, and running code generated by models. Notably, Ovrin offers a free tier alongside several paid options that provide increased concurrency and usage-based compute costs. Overall, the platform aims to streamline the development process for AI solutions by providing a robust and flexible environment.

ClickUp Super Agents represent a new generation of AI designed to function like human teammates. They can be assigned work, tagged in conversations, and communicate directly within ClickUp. These agents operate autonomously with episodic, short-term, and long-term memory. Infinite knowledge and self-learning allow Super Agents to continuously improve over time. Users can create custom agents or entire agent teams in minutes using simple prompts. Super Agents collaborate with each other through multi-agent orchestration to complete complex workflows. Ambient intelligence enables agents to step in automatically when help is needed. They support hundreds of skills, from drafting emails to managing analytics and scheduling. Built-in analytics measure agent productivity and performance. Super Agents dramatically increase efficiency while remaining fully managed and controlled by humans.

Claude Sonnet 4.5 represents Anthropic's latest advancement in AI, crafted to thrive in extended coding environments, complex workflows, and heavy computational tasks while prioritizing safety and alignment. It sets new benchmarks with its top-tier performance on the SWE-bench Verified benchmark for software engineering and excels in the OSWorld benchmark for computer usage, demonstrating an impressive capacity to maintain concentration for over 30 hours on intricate, multi-step assignments. Enhancements in tool management, memory capabilities, and context interpretation empower the model to engage in more advanced reasoning, leading to a better grasp of various fields, including finance, law, and STEM, as well as a deeper understanding of coding intricacies. The system incorporates features for context editing and memory management, facilitating prolonged dialogues or multi-agent collaborations, while it also permits code execution and the generation of files within Claude applications. Deployed at AI Safety Level 3 (ASL-3), Sonnet 4.5 is equipped with classifiers that guard against inputs or outputs related to hazardous domains and includes defenses against prompt injection, ensuring a more secure interaction. This model signifies a significant leap forward in the intelligent automation of complex tasks, aiming to reshape how users engage with AI technologies.

CreateOS Sandbox serves as a cloud-based computing solution designed specifically for developers focused on creating AI agents, code-execution environments, and various developer utilities. The service utilizes isolated Firecracker micro-virtual machines that each operate under their own Linux kernel, allowing teams to securely execute untrusted code or code generated by models. Developers have the flexibility to set up environments via a TypeScript SDK, command-line interface, MCP tools, or REST API, enabling them to run commands and establish connections between sandboxes within private networks. These sandboxes can easily be paused and resumed while maintaining the guest state, are customizable using reusable templates, and can be integrated with customer-owned storage solutions such as Amazon S3, MinIO, or Cloudflare R2. It's important to note that usage is charged per second based on compute, memory, and disk space, with paused environments still accruing costs for memory and storage. The service is available in both EU and US regions, and there is an enterprise option that allows for deployment on the customer's own infrastructure, enhancing flexibility and control for businesses. Overall, CreateOS Sandbox presents a robust platform that caters to the needs of modern developers.

Magica is a multi-model AI platform that brings together chat, image, video, music, voice, branding, and campaign tools inside one intelligent agent experience. Instead of choosing and managing many separate AI apps, users can simply describe a task and let Magica route the work across advanced models and connected tools. The platform provides access to a wide range of AI systems, including GPT 5.5, Gemini, Claude, Perplexity, Grok, DeepSeek, Sora, Veo, Midjourney, Stable Diffusion, Ideogram, Runway, Kling, HeyGen, ElevenLabs, Topaz, and more. Users can create video ads, edit photos, generate music, clone voices, write and illustrate content, design brands, and build marketing campaigns from one interface. Magica is built for creative professionals, businesses, and casual users who want powerful AI capabilities without complex setup. It supports file attachments and tool connections, making it useful for workflows that require more than simple prompting. The platform is available on mobile through iOS and Android apps, giving users access to AI creation tools from anywhere. Magica also offers pricing options, free credits, affiliate opportunities, API and MCP access, workflows, and model-focused resources. By combining many AI models with a single agent, Magica helps users streamline content creation, creative production, and business automation.

Protaura is an innovative workspace tailored for solo entrepreneurs and small teams focused on AI product development. Users can articulate their desired product or company, and AI assistants are available to enhance the clarity of their vision, outline project scope, develop design and branding materials, and assist with infrastructure and coding tasks. The platform features organized views like Office and Mission Control, which streamline missions, document decisions, and track agent activities, while human approval gates ensure oversight on significant actions such as writing to repositories and making deployments. Additionally, Protaura integrates with GitHub for issue tracking and repository management and allows users to input their own API keys for models from OpenAI, Anthropic, or Gemini. A free tier provides access to the fundamental mission and agent workflow, albeit with certain limitations on workspaces, accompanying agents, and the number of simultaneous missions; paid subscriptions expand these limits and introduce enhanced governance and security measures. Protaura is designed to assist founders throughout the entire software product development cycle, from initial concept to final launch. Currently, Protaura is in its beta phase, inviting feedback and improvements from its early users.

Gemini Computer Use is an agentic computer interaction capability built into Gemini 3.5 Flash. It enables developers and enterprises to create AI agents that can work across browser, desktop, and mobile environments by seeing interfaces, reasoning through tasks, and taking action. The capability was previously offered through a standalone Gemini 2.5 computer use model, but is now natively integrated into Gemini 3.5 Flash. This gives developers access to stronger performance for agentic computer use tasks while also combining with Gemini’s existing strengths in function calling, Search grounding, Maps grounding, and built-in tools. Gemini Computer Use is designed for long-horizon automation, continuous software testing, enterprise knowledge work, and workflows that span multiple professional applications. Developers can start building with the feature through the Gemini API or Gemini Enterprise Agent Platform. Google also provides a demo environment through Browserbase for testing the capability. Safety controls include targeted adversarial training for live-environment risks, optional explicit user confirmation for sensitive or irreversible actions, and automatic task stopping when indirect prompt injection is identified. Gemini Computer Use helps organizations build practical AI agents that can complete complex digital tasks while supporting sandboxing, human review, and strict access controls.

NEONAGENT is an innovative AI-driven community management platform designed to function as a human-like participant in online group settings, especially on platforms such as Discord. In contrast to conventional bots, it operates from a genuine user account, allowing it to engage in conversations in a natural manner, seamlessly integrating into communities while preserving context and social nuances. Its foundation lies in HUMA, an event-driven agent architecture that facilitates human-like interaction patterns, timing, and interruptions, which enables the agent to comprehend group dynamics, individual roles, and the flow of conversation. The system intelligently decides whom to respond to, when to engage, and what messages to convey, avoiding mechanical or instantaneous replies by mimicking natural pauses and behavior. Moreover, NEONAGENT is capable of retaining context across various users, channels, and historical interactions, allowing it to actively participate in ongoing dialogues rather than merely reacting to standalone messages. This advanced capability ensures that NEONAGENT can contribute more meaningfully to discussions, enhancing user engagement within the community.

Agent Substrate serves as an open-source runtime that facilitates the operation of isolated, stateful agent and code-execution sandboxes within Kubernetes environments. It effectively manages the lifecycle of actors and workers, allocates active workloads to a common pool of available resources, and has the ability to pause idle sandboxes while maintaining their memory and filesystem states for potential future use. Utilizing gVisor or Cloud Hypervisor microVM for isolation, these sandboxes incorporate unique identity and networking controls for each actor. This platform is specifically tailored for infrastructure and platform teams who are developing services for hosting agents, creating coding environments, and handling other tasks that may involve untrusted or sporadic execution. The primary framework is designed to be portable across Kubernetes, with Google Cloud providing specialized deployment tools optimized for GKE. Additionally, users can implement optional Filestore agent volumes to ensure that workspaces remain intact and accessible through suspension and resumption cycles, enhancing the reliability of the development environment. This versatility makes Agent Substrate an essential tool for modern cloud-native applications.

Microsoft Foundry Agent Service provides a unified environment for building intelligent agents that automate high-value tasks across an organization. It supports multi-agent workflows, hosted custom-code agents, and seamless integration with Azure Logic Apps and other enterprise systems. Developers can extend agent capabilities using built-in memory, ready-to-use tools, and secure connectivity powered by the Model Context Protocol. The platform includes deep observability features—such as tracing, dashboards, and guardrails—to ensure safe, reliable, and cost-efficient operations at scale. Built-in governance via Entra Agent ID gives each agent a managed identity with full lifecycle, access, and policy controls. Organizations can deploy agents directly into Teams and Microsoft 365 Copilot to bring automation into everyday employee workflows instantly. With more than 100 compliance certifications and enterprise-grade security, Foundry Agent Service supports even the most regulated industries. Its combination of extensibility, security, and operational readiness makes it a powerful foundation for enterprise-wide AI adoption.

todo.is is an AI agent platform that enables individuals and businesses to automate tasks, manage information, and complete multistep workflows using natural language. The software allows users to interact with personal AI agents through WhatsApp, Telegram, Slack, Discord, email, and a web interface. Its agents can navigate websites, retrieve information, fill out online forms, execute code, and create documents, spreadsheets, images, and other digital content. Users can schedule recurring workflows for activities such as daily briefings, email summaries, competitor monitoring, and appointment reminders. Integration with Gmail, Google Calendar, and Google Drive enables authorized agents to work with email messages, calendar events, and cloud files. Each agent runs in a dedicated cloud environment with its own memory, file workspace, and browser access. The platform supports AI models from providers including OpenAI, Anthropic, Google, DeepSeek, and xAI, with options for platform credits or personal API keys. Security features include encrypted credentials, private messaging channels, activity logs, and approval requirements for actions involving emails, payments, calendar changes, or file deletion. todo.is offers subscription plans supporting multiple AI agents, parallel task execution, and cloud-based automation that continues running without requiring a user's computer to remain online.

NVIDIA OpenShell serves as an open and secure runtime environment specifically designed for autonomous AI agents, regulating their execution, access rights, and the pathways for inference traffic. Instead of embedding security within the model or application, it maintains safety measures in the surrounding environment, meaning that nothing is allowed by default; permissions are assigned through established policies, and enforcement mechanisms operate outside the agent process to prevent any circumvention via prompts. Each autonomous agent operates within a confined sandbox, which restricts direct network connectivity, limits file access, and implements kernel-level monitoring of system calls to ensure rigorous oversight. Acting as the control plane, a gateway is responsible for user authentication, lifecycle management of sandboxes, and the provision of policies, settings, credentials, and inference configurations to the agents. Additionally, a supervisor operates externally to each sandbox, scrutinizing network requests according to policies at various levels—including binary, destination, method, and path—and only grants access to credentials when explicitly permitted, thus enhancing the overall security framework. This layered architecture ensures that the agents function effectively while maintaining robust security protocols throughout their operations.

Dendrite is a versatile platform that operates independently of any specific framework, allowing developers to design web-based tools for AI agents that can authenticate, interact with, and gather data from any online source. This innovative system mimics human browsing actions, which aids AI applications in navigating websites and retrieving information effortlessly. It features a Python SDK that equips developers with essential resources to create AI agents capable of engaging with web elements and extracting relevant data. Dendrite’s adaptable nature ensures it can seamlessly fit into any technology stack, making it an ideal choice for developers looking to improve the web interaction abilities of their AI agents. The Dendrite client synchronizes securely with website authentication sessions already established in your local browser, eliminating the need to share or store sensitive login information. Additionally, the Dendrite Vault Chrome Extension allows users to safely share their browser-based authentication sessions with the Dendrite client, further enhancing convenience and security. Ultimately, Dendrite empowers developers to create intelligent web interactions, streamlining the integration of AI into everyday online tasks.

Kepla Scout is an AI-driven application designed for local users and small enterprises looking to automate recurring research and monitoring activities. By allowing users to create personalized agents, they can easily articulate tasks in simple language, such as keeping track of a sports team, organizing weekly meal plans, observing price changes, and monitoring job listings. The application is compatible with both Windows and Linux platforms, featuring a user-friendly interface accessible via a web browser. Instead of subscribing to Kepla Scout, users simply integrate an API key from their preferred AI service provider, with any associated fees for API usage being separate. The application is available for free download and can be utilized without any cost, ensuring that both agents and their outcomes remain securely on the user's device. This app is particularly beneficial for personal and small business operations that require consistent updates and reports. Users can easily access the most recent version of the app through the downloads section. This innovative tool enhances productivity by simplifying task management and information retrieval.

Enhance team productivity by providing a swift, secure, and interactive user experience that mimics the feeling of local browsing. Diminish cyber threats by executing browser code remotely, which helps to block potential infections from both known and unknown dangerous websites. Boost technological efficiency by selectively isolating resources according to specific applications, policies, or when interacting with suspicious sites, while also implementing additional controls to prevent data loss. Isolate web browsing to thwart ransomware attacks before they can propagate or compromise an internal network. Recognizing that mistakes occur and users may inadvertently click on harmful links, it is crucial to lessen the impact of phishing by launching questionable email links in a secure, isolated browser environment. Safeguard data accessed by third-party users on devices that are not managed, and facilitate application isolation through hyperlinks without necessitating additional software installations for end users. This approach not only enhances security but also streamlines workflows across various platforms.

Nanobrowser is an innovative AI-driven web automation tool that allows users to run multiple AI agents in their browser for complex workflows. By providing support for a variety of LLM providers, such as OpenAI and Anthropic, it ensures flexibility in task automation while maintaining privacy, as all data processing occurs locally. Nanobrowser is open-source and completely free to use, offering a cost-effective alternative to more expensive platforms like OpenAI Operator. The multi-agent system can automate repetitive tasks, and the platform’s intuitive interface offers real-time updates, making it ideal for efficient web automation.

Cotlet serves as a hosted MCP server and REST API that enables AI agents to interact with web applications that do not offer a functional API. Users can link their applications and log in via a personal Chrome browser that is hosted in the cloud; this allows agents to perform supported read and write operations through the MCP, while scripts and backend systems can leverage the REST API. The platform's integration catalog includes a variety of tasks such as making bookings, managing travel, handling customer support, processing invoices, and facilitating marketing efforts. Cotlet targets developers and teams focused on creating agent workflows, along with automation providers who collaborate with their clients' applications. It is compatible with a range of MCP clients, including Claude, ChatGPT, Cursor, GitHub Copilot, Gemini, Windsurf, and n8n. The applications that are connected utilize the signed-in session of the account holder; Cotlet assures users that it does not retain passwords and encrypts the profiles of the browsers. Successful API calls deduct credits from the user’s account, whereas errors and timeouts do not incur any costs. The company ensures that its integrations are routinely tested and updated to reflect any changes in the connected applications, enhancing reliability and user experience. By providing such features, Cotlet effectively streamlines the automation process for various user needs.

Moxt is a workspace tailored for AI, enabling teams to collaborate with autonomous AI agents that can perform research, writing, analysis, and task execution alongside human collaborators within a unified platform. Functioning as a "system for agents," it consolidates files, memory, tools, and expertise, allowing AI partners to undertake genuine work with minimal need for ongoing instructions or context reiteration. The platform features persistent AI assistants, known as "momo," for each individual user, as well as collective AI collaborators that engage across the organization, adapt from their interactions, and enhance their capabilities over time through a shared memory infrastructure. These autonomous agents have the ability to create reports, develop dashboards, draft various documents, analyze datasets, and organize workflows, frequently carrying out tasks either independently or according to a preset schedule without requiring immediate user input. Additionally, Moxt seamlessly integrates with applications like Slack, enabling users to engage directly with AI agents within their established workflows, while all generated outputs are systematically stored as structured files within a centralized workspace, enhancing overall efficiency and collaboration. As a result, this innovative approach elevates how teams interact with technology, ultimately fostering a more productive environment.

Smolagents is a framework designed for AI agents that streamlines the development and implementation of intelligent agents with minimal coding effort. It allows for the use of code-first agents that run Python code snippets to accomplish tasks more efficiently than conventional JSON-based methods. By integrating with popular large language models, including those from Hugging Face and OpenAI, developers can create agents capable of managing workflows, invoking functions, and interacting with external systems seamlessly. The framework prioritizes user-friendliness, enabling users to define and execute agents in just a few lines of code. It also offers secure execution environments, such as sandboxed spaces, ensuring safe code execution. Moreover, Smolagents fosters collaboration by providing deep integration with the Hugging Face Hub, facilitating the sharing and importing of various tools. With support for a wide range of applications, from basic tasks to complex multi-agent workflows, it delivers both flexibility and significant performance enhancements. As a result, developers can harness the power of AI more effectively than ever before.

Daykeeper simplifies communication for solopreneurs by consolidating all customer messages into a single inbox accessible through their app. Users can effortlessly integrate the support chat widget using the AI builder, or have their coding agent, such as Claude Code or Cursor, configure the entire inbox with just one command in the CLI. There’s no need for a signup form, and the setup goes live in under a minute, offering immediate functionality. You can also save your most effective responses as saved replies, ensuring that even if a customer exits the chat, they will still receive your message via email. For those on paid plans, replies can be sent from your own domain, enhancing your brand's presence. Daykeeper's pricing is structured per workspace instead of per user, allowing you to add team members at no additional cost. The free tier accommodates up to 100 conversations each month, while the Pro plan is available at $19.99 per workspace, supporting up to 2,000 conversations. Developers benefit from a comprehensive suite of tools including an API, Node, web, and React Native SDKs, along with a local MCP server that features scoped permissions and an audit trail for all agent interactions. Additionally, data is securely hosted in the US, with options for EU hosting available as well, ensuring compliance and flexibility for diverse user needs.

Dopamine is a user-friendly AI agent platform that allows individuals to create, implement, and oversee intelligent AI agents tailored for specific tasks and workflows with ease and efficiency. By focusing on rapid deployment and straightforward processes, it enables users to develop operational AI "team members" in a matter of minutes instead of weeks, utilizing a visual agent builder, personalized instructions, and integrated connections to real-time data sources for immediate action. Users have the flexibility to merge various agents into cohesive workflows, adjust each agent's cognitive and behavioral parameters, and collaborate with colleagues or communities by sharing agents. This versatility makes Dopamine ideal for tasks such as information summarization, automating tedious processes, generating and modifying content, and managing tasks. The platform is designed to eliminate the common challenges and complexities associated with other agent and workflow builders, delivering tangible productivity improvements from the outset while enhancing collaborative efforts across different projects and minimizing the demand for intricate engineering solutions. In essence, Dopamine seeks to empower users by streamlining the process of leveraging AI for everyday tasks.