Top Totem Alternatives

Bevel functions as a vendor-agnostic control plane integrated with Git, specifically designed for enterprise AI agents, enabling organizations to establish their agents, context, skills, tools, permissions, and identities as proprietary files within their systems, accessible by any agent runtime through the Managed Control Plane (MCP). The context is structured as categorized knowledge nodes, complete with documented provenance that outlines the source, last modification, and verification timestamps, all of which is synthesized into a navigable graph that can be continuously updated for dashboard creation. Skills are defined in clear Markdown formats, allowing process owners to effortlessly read and review modifications, as well as transfer them between various runtimes. Tool manifests detail the available functionalities, while sensitive data is securely encrypted in a vault, managed by access protocols that specify which agents have permission to read particular files or execute certain endpoints. Each agent is allocated a distinctive identity and set of credentials, ensuring traceability of all actions to their origin. This extensive framework not only fortifies security and structure but also fosters transparency and accountability within AI operations, creating a more robust ecosystem for enterprise-level management of AI agents. Furthermore, the system promotes collaborative development, allowing teams to innovate while maintaining control over their AI resources.

Ansys Totem-SC is a prominent leader in power noise and reliability verification specifically designed for analog and mixed-signal architectures, utilizing a cloud-native elastic compute framework to boost performance. Celebrated as the benchmark for voltage drop and electromigration multiphysics sign-off, it is optimized for both transistor-level and mixed-signal designs. With numerous successful tapeouts to its name, the cloud-centric structure of Totem-SC guarantees quick and reliable full-chip analysis capabilities. Its signoff accuracy is recognized by all top foundries for advanced finFET technologies, even at 3nm nodes. As a robust analytical platform for power noise and reliability, Ansys Totem-SC meets the demands of analog mixed-signal IP and fully custom designs effectively. The platform excels in creating IP models for SOC-level power integrity signoff alongside RedHawk-SC, and it also generates compact chip models of power delivery networks that are useful at both the chip and system levels. This widely endorsed solution establishes a high standard for analog and mixed-signal EM/IR analysis, promoting reliability and performance in contemporary electronic designs. Additionally, its advanced capabilities empower engineers to enhance design integrity, making Ansys Totem-SC indispensable in the rapidly evolving landscape of technology.

TotemClock AI provides a completely free, cloud-based service designed for small businesses to effectively manage time and attendance. Employees enjoy the flexibility of clocking in and out from their existing devices, including smartphones, tablets, or computers, while employers can effortlessly monitor attendance, time cards, timesheets, and project hours without relying on specialized equipment. The platform features free calculators that accurately determine net worked time, breaks, regular hours, and overtime using any number of IN and OUT punches, supporting both hours-and-minutes and decimal formats. This user-friendly tool is available globally in various languages such as English, Italian, French, and German, and registration does not require a credit card. Consequently, it serves as an excellent option for businesses aiming to enhance their time management systems while minimizing expenses. Moreover, the ease of access and functionality makes it particularly appealing to those new to time tracking solutions.

Videos, commonly known as Totem, serves as a dedicated media player for the GNOME desktop environment and is designed to accommodate various plugins. Since its inclusion as a core application starting from the GNOME 2.10 release, it systematically organizes all your video files for seamless access, allowing you to simply choose a file to watch. The application also provides easy access to numerous video channels directly through its interface, making entertainment more accessible. With a user-friendly design, it emphasizes the importance of enhancing the viewing experience, ensuring that users can focus on their content without unnecessary distractions. Furthermore, Fluendo has played a pivotal role in sponsoring the work of Ronald Bultje and Tim-Philipp Müller for the development of the GStreamer backend, while Collabora has also lent its support to Müller’s contributions. This collaboration not only highlights the dedication of the community towards advancing multimedia playback on GNOME but also fosters a spirit of innovation and improvement in the software ecosystem. As a result, the ongoing development efforts contribute significantly to the overall user experience in multimedia applications.

Microsoft Autopilot is a long-running AI agent in Microsoft Copilot built to handle persistent, recurring, and proactive work across an organization. The product was previously called Scout and is positioned by Microsoft as a digital teammate that can continue operating without waiting for a prompt at every stage. Users can assign Autopilot a name, role, goal, and operating boundaries, after which it can monitor activity, follow up on threads, run recurring work, and resume projects over extended periods. One example provided by Microsoft is a supplier review process in which Autopilot can create the schedule and workback plan, prepare for meetings, manage follow-ups, and contact stakeholders for updates. Autopilot is cloud-hosted, so its work can continue while users are offline or focused elsewhere. Each Autopilot instance lives within the organization’s tenant and has its own identity, memory, computer, and workspace. It is built on Microsoft IQ, which connects enterprise knowledge, data, and workflows to provide context for the agent’s actions. Autopilot can surface across Microsoft 365 experiences including Teams, Outlook, chats, channels, and documents, where users can interact with it similarly to a colleague. The service is governed through organizational permissions, audit controls, and policy boundaries so companies can define what the agent is allowed to access and execute. Microsoft positions Autopilot alongside Cowork and Code as one of Copilot’s long-running agentic capabilities, with usage-based billing applied to this type of work. As announced on September 25, 2026, Autopilot was expanding to private preview at the end of September.

Runx serves as an open-source command-line tool designed for the creation, exploration, and execution of governed skills intended for AI agents. It empowers developers to create structured workflows, designate specific permissions and credentials, and run skills locally on their own provider accounts. This system incorporates the ability to pause executions for required approvals or inputs, while also maintaining a signed receipt for review and validation purposes. Developers can source skills from a public registry and seamlessly integrate them with various compatible agents, such as Claude Code, Cursor, and Codex. Moreover, an optional hosted service can streamline managed OAuth connections, scoped grants, API submissions and inspections, approval management, and the notarization of receipts. The command-line interface is versatile enough to operate in both local and self-hosted environments. Runx is tailored specifically for developers and platform teams who are focused on creating and overseeing AI-agent workflows that necessitate clear authority delineations and auditable execution methods. In addition, its features foster improved collaboration and enhance security protocols essential for the development of solutions driven by artificial intelligence, ultimately contributing to more efficient project management.

The online equivalent of the conventional reservation book is readily available at any time and from various devices such as laptops, smartphones, tablets, desktop computers, LCD TVs located in the sports center's clubhouse, Totem Touchscreens, and any other internet-capable devices connected to Wansport.com. This platform provides a wealth of features for users seeking to arrange games, beginning with direct and private messaging options within a social network tailored specifically for the sports center. Furthermore, during the reservation process, users can conveniently send online invitations by entering their friends' names, ensuring everyone is included in the game plans. The invited friends are promptly notified through text messages or emails, keeping them fully updated. In addition to this, the system streamlines the payment process by automatically managing the distribution of playfield costs among all participants, deducting the required amount from each individual’s online account. This efficient approach not only improves communication but also simplifies the organizational aspects of setting up a match, making it easier for everyone involved. As a result, players can focus more on enjoying their game rather than worrying about the logistics.

Put aside any worries about data security and financial setbacks, as WebTotem takes charge of everything for you. By opting for WebTotem, you save valuable time and resources that would typically be spent on hiring cybersecurity professionals or trying to secure your websites on your own. Forget about complicated configurations, technical language, or the need for additional programming; your sites can be protected within a mere five minutes. With its server-side scanner that eradicates malware at the click of a button, you will also receive notifications about any newly created, modified, or deleted files. Moreover, benefit from continuous external monitoring that addresses issues such as downtime, web reputation, SSL certificate status, domain expiration, and much more. The platform consistently identifies and mitigates vulnerabilities while offering AI-powered proactive measures against intrusions and emerging threats. In the end, WebTotem guarantees that your digital footprint remains safe and robust in the face of the constantly changing climate of cyber threats. With this comprehensive approach, you can focus on growing your business, knowing that your security is in capable hands.

StackOne is an AI agent integration and execution platform that helps developers connect autonomous agents, AI assistants, and enterprise applications through a unified infrastructure layer. The software provides access to more than 570 prebuilt connectors and 35,000 actions spanning human resources, recruiting, CRM, finance, identity management, customer support, document management, and other business systems. Its integration interfaces support Model Context Protocol, Agent-to-Agent communication, REST APIs, and development SDKs for Python and TypeScript. StackOne enables AI agents to retrieve information, update records, trigger workflows, create objects, and perform authorized operations within connected applications. Managed authentication handles OAuth flows, SAML authentication, API credentials, token refresh, and account connections without requiring developers to implement separate authentication systems for every integration. The AI Connector Builder allows users to develop custom connectors and extend existing integrations using AI-assisted development tools and automated API testing. Its Falcon execution engine processes agent actions while managing retries, API errors, data transformations, authentication, and provider-specific technical requirements. Security capabilities include prompt injection detection, granular action and field permissions, user-scoped access controls, and configurable policies governing agent behavior. Observability tools provide request tracing, audit logs, and operational monitoring to help administrators understand which actions agents perform and which resources they access. Dynamic tool discovery, managed data synchronization, and token optimization help reduce context window usage while improving the relevance of tools available during agent execution.

Microsoft Agent 365 provides a comprehensive management layer for organizations adopting AI agents, giving IT teams the ability to oversee and secure agents with the same tools used for traditional user management. Acting as a centralized registry, it identifies every agent—whether authenticated with Entra agent ID, manually registered, or detected as a shadow agent operating within the system. By leveraging Microsoft Defender, the platform brings enterprise-grade threat protection and security posture management to agentic workflows. Identity access for agents is governed through Microsoft Entra, ensuring every automated system interacts with corporate resources securely and responsibly. Purview adds another layer of governance, enabling teams to track, classify, protect, and audit the data that agents access or generate. Through integrations with Microsoft 365 and Power Platform, agents gain the ability to work inside Word, Excel, Power Apps, Power BI, and automated workflows. Work IQ connects agents to each organization’s unique knowledge graph, unlocking rich contextual reasoning for better task execution. IT administrators can join Microsoft’s Frontier early access program to try Agent 365 and enable it for selected users or the entire tenant. Microsoft’s broader ecosystem also supports deploying agents through Copilot, building them in Copilot Studio, and designing advanced systems in Foundry. Agent 365 is designed to help enterprises scale agent adoption confidently, securely, and efficiently as AI becomes a core part of daily operations.

iFixAi operates as a self-sufficient auditing platform designed to assess AI agents, ensuring they effectively perform their intended functions, comply with permissions, follow required workflows and approvals, respect organizational boundaries, and demonstrate behavior that is both consistent and justifiable. This platform goes beyond basic observability and assessments by investigating whether an agent can inadvertently reveal sensitive information, compromise decision-making, misuse tools, or function without the necessary permissions, despite standard evaluations suggesting compliance. iFixAi's thorough audits cover more than 64 unique categories of AI misalignment, tackling issues related to AI red teaming, operational integrity, and various philosophical, ethical, and sociological considerations, including prompt injection, policy breaches, tool governance, principal fidelity, epistemic integrity, equitable governance, stakeholder conflicts, influence, and systemic risks. Additionally, teams can effortlessly integrate agents through GitHub or MCP without needing to create a manual evaluation harness or incorporate a software development kit, thus making the auditing process more efficient. This groundbreaking method not only bolsters the reliability of AI deployments but also significantly enhances stakeholder confidence in the functional capabilities of AI systems, promoting a culture of accountability and transparency in AI operations. As organizations continue to navigate the evolving landscape of AI, iFixAi stands as a crucial ally in ensuring responsible AI usage.

CLAUSTRUM is a specialized MDM solution crafted for Android kiosks, effectively converting various devices such as POS systems, time clock terminals, totems, or tablets into secure units dedicated to specific applications, all manageable through a centralized cloud console. This platform supports Android 7 and later versions and operates smoothly on devices lacking Google services, making it suitable for AOSP devices and POS terminals alike. Users can leverage the console to remotely monitor and control screens (available on Android 11 and higher), apply group-based policies, silently install or update applications, set up Wi-Fi and mobile data APNs, and execute commands like rebooting, locking, or wiping devices; an API is also provided to trigger commands via ERP or software systems by identifying devices using their serial numbers. Enrollment is facilitated through QR codes or ADB, and each client is granted a unique account with licenses, which allows for potential reselling of the service to additional customers. The complete service is offered in a single plan encompassing all features, and interested users can explore a 14-day free trial without the requirement of providing payment information. Furthermore, the product's development and support are rooted in Spain, ensuring that users benefit from localized expertise and assistance, which can greatly enhance the overall user experience. As a result, CLAUSTRUM stands out as a versatile and user-friendly solution for managing Android kiosks effectively.

Once you have finalized a contactless web check-in, you can effortlessly utilize your services through your Zoox Pass, ensuring instant identification and prompt access. Our biometric authentication and facial recognition API is designed to smoothly integrate with prominent management systems in the hospitality and healthcare industries via Zoox Pass Hospitality and Zoox Pass Health. Furthermore, Zoox Pay technology is available to Zoox Pass Hospitality users, enabling seamless integration with a variety of payment gateways both in Brazil and around the world, promoting faster and safer payment transactions through the use of tokenized data sourced from virtual wallets and acquiring agreements. This not only allows users to enjoy shorter wait times but also accelerates processes related to payments, releases, and check-ins, all without needing to install any application. In addition, you have the flexibility to incorporate authentication and facial recognition APIs within your own applications or those developed by third-party providers, expanding the alternatives for efficient service delivery. This forward-thinking strategy not only improves user experience but also enhances operational efficiency across numerous platforms, making it a vital asset for any service-oriented business. Overall, the combination of these technologies marks a significant advancement in how services are accessed and managed.

Sakana Fugu is a multi-agent AI system that operates like one model while coordinating many underlying expert models behind a single API. The platform is designed to deliver frontier-level performance without forcing users to depend on one model provider or manually manage several separate AI tools. Fugu dynamically chooses which agents should participate in each task and coordinates them through learned collaboration patterns. This approach allows the system to handle complex work such as coding, reasoning, scientific problem solving, code review, security assessment, literature analysis, patent research, and autonomous research workflows. Sakana Fugu is grounded in research on learned orchestration, including TRINITY and the Conductor, which explore how AI systems can route tasks, assign roles, and coordinate communication among multiple agents. Users can access the system through an OpenAI-compatible API and choose between Fugu and Fugu Ultra depending on their workload. Fugu is built for everyday coding, chatbot, review, and productivity use cases where strong performance and lower latency are both important. Fugu Ultra uses a deeper pool of expert agents to improve quality on harder tasks such as Kaggle competitions, paper reproduction, cybersecurity analysis, and technical investigations. Organizations can control which agents, providers, or models are allowed in the pool to meet privacy, data handling, compliance, and procurement needs. The platform offers pay-as-you-go and subscription pricing options, with Fugu Ultra priced separately for input, output, and cached input tokens. Sakana Fugu gives developers, researchers, and enterprises a way to plug multi-agent intelligence into existing workflows while maintaining flexibility, control, and stronger performance on demanding tasks.

OpenText Aviator Studio acts as a holistic platform designed for both no-code and pro-code developers, empowering users to create, manage, integrate, deploy, and continuously enhance enterprise AI agents. Engineered for scalability, fortified security, and intelligent automation, it operates as a central hub for AI management, facilitating the development of dependable agents across a range of OpenText solutions and corporate environments. Users can quickly design, assess, and refine agents while also crafting complex workflows, executing logical reasoning sequences, and rolling out solutions across diverse platforms. The platform's capability for multi-agent coordination allows organizations to seamlessly align agents and systems within intricate workflows. Furthermore, features such as a prompt library, reusable micro-capabilities, and standardized interfaces foster efficient development processes and encourage code reuse among teams. Prioritizing enterprise-grade governance, Aviator Studio includes functionalities like permissions management, policy enforcement, identity control, audit logging, data isolation, and protective measures to counteract risks such as prompt injection, thus safeguarding sensitive information. Overall, this platform equips organizations with essential tools to effectively leverage AI, all while ensuring a robust commitment to security and regulatory compliance. In doing so, it empowers teams to innovate and adapt to the rapidly evolving landscape of artificial intelligence.

Jelou is a groundbreaking conversational AI platform tailored for enterprises to design, implement, and manage advanced AI agents that not only interact through chat but also drive authentic business operations and transactions seamlessly within conversations. These AI agents possess the ability to authenticate customer identities via in-chat KYC with biometric and document validation, execute secure payments without redirecting users, collect legally binding signatures, and enable smooth conversational search and e-commerce functionalities across well-known messaging platforms. Furthermore, Jelou includes Brain Studio, a no-code/low-code development environment that allows users to create, test, and deploy agents while integrating them with databases, existing business software, and APIs; it also features real-time logging for troubleshooting and an option for human oversight when required. The platform places a strong emphasis on user privacy, complying with strict data protection regulations, explicitly forbidding third-party AI training on customer data, and ensuring all transactional information is encrypted. By offering such extensive features, Jelou equips businesses to improve customer interaction and enhance operational efficiency effectively, while also fostering a more secure and reliable environment for all stakeholders involved. As a result, companies are better positioned to adapt to the evolving landscape of digital communication and commerce.

Solid brings AI workflow automation to recurring, cross-system work while retaining control over access, spending, and approvals. As an operating system for always-on AI agents, Solid runs agent software, connects it to business systems, and allocates resources under team controls. It gives agents approved computers, accounts, phone numbers, system access, and customer-set budgets so work can continue toward a checked result after the chat closes. Teams set context, rules, permissions, finish criteria, and approval points. Solid works through approved APIs, code, and browser or desktop interfaces. It can build missing tools and, when authorized and available, provision compute, cloud resources, identities, credentials, and paid services. Managers can follow available activity, costs, logs, and exceptions while policies route sensitive decisions to people. Suitable work includes sales, CRM, customer support, reporting, engineering, and internal tools.

Wonderful stands out as an all-encompassing platform for enterprise agents, enabling businesses to design, deploy, and manage AI agents that operate within critical systems and workflows. By providing an integrated framework that combines models, tools, and data, it fosters a unified environment for the creation and growth of AI agents across diverse customer engagements, employee responsibilities, and backend operations. This platform empowers organizations to carefully craft, evaluate, and refine their agents, granting them complete control over aspects like behavior, compliance, and fundamental logic. By connecting agents to real business data through APIs and other integrations, Wonderful guarantees that tasks can be executed smoothly from beginning to end. Furthermore, with support for deployment across various channels such as voice, chat, email, and embedded interfaces, the platform allows agents to facilitate natural interactions, streamline workflows, and coordinate actions across multiple systems. Its architecture is further enhanced by orchestration layers that manage agent workflows and business context layers that ensure agents align with the organization's data and processes, thereby amplifying operational effectiveness. Ultimately, Wonderful serves as an essential resource for organizations aiming to harness AI technology to drive better business results, providing the tools necessary to innovate and stay competitive in a rapidly evolving landscape.

OpenWeave functions as a governance framework for AI agents and autonomous systems, operating as a server-enforced state machine that dictates the actions and their timing for these agents. Users can design workflows that include various states, transitions, and authorized triggers; the backend rigorously enforces transitions using a strict 403 error, and crucial states necessitate human approval, thus ensuring that bots cannot proceed without human intervention. Additionally, the monitoring capability offers visibility into agent activities, preventing inappropriate actions from taking place before they can occur. Rather than having transitions hardcoded, agents acquire knowledge about acceptable transitions through the API, guaranteeing that each bot maintains a verifiable identity, with all changes recorded in an immutable audit trail. The system provides integration options via a REST API and a remote MCP server, making it an essential tool for AI-agent developers, AgentOps/MLOps, and platform teams. This robust framework not only fortifies security measures but also simplifies the oversight of AI workflows, ultimately leading to more reliable and efficient autonomous systems. Furthermore, by facilitating seamless collaboration among various stakeholders, OpenWeave enhances the overall development process within the AI landscape.

Cosmos by Augment Code is an AI agent orchestration platform that helps software engineering organizations automate and manage development activities across multiple teams, repositories, and environments. The platform coordinates specialized AI agents that perform tasks involving software implementation, code review, testing, vulnerability remediation, incident investigation, and development workflow management. Its Expert system allows organizations to configure reusable agents with defined instructions, capabilities, tools, execution environments, and access permissions. Cosmos includes a Context Engine that provides agents with codebase intelligence by identifying relevant files, dependencies, architectural relationships, and existing implementation patterns. The platform supports automated workflows initiated by repository events, project management updates, monitoring alerts, scheduled tasks, and custom webhooks. Its ticket-to-pull-request workflows can investigate assigned issues, generate code changes, run verification procedures, and prepare modifications for engineering review. Automated code review capabilities use specialized agents to assess pull requests for correctness, implementation risks, and issues requiring human judgment. Cosmos provides isolated virtual machines and supports execution on managed cloud infrastructure, self-hosted machines, and supported customer environments. Shared organizational memory allows agents to retain reusable knowledge, reference previous workflow outcomes, and apply updated instructions across future executions. Governance capabilities include human-in-the-loop approval checkpoints, versioned workflows, execution auditing, access controls, and configurable spending limits for automated operations. Integrations with GitHub, GitLab, Jira, Linear, Slack, Microsoft Teams, and Model Context Protocol tools enable organizations to connect agent workflows with their existing development infrastructure.

Permiso is an enterprise identity security platform built to protect every identity operating across cloud, SaaS, on-premises, hybrid, and AI-driven environments. The platform combines identity discovery, runtime identity attribution, identity security posture management, identity threat detection and response, and AI identity security into a unified security architecture. Its Universal Identity Graph creates continuous relationships between users, service accounts, non-human identities, AI agents, credentials, workloads, machines, permissions, infrastructure resources, and runtime actions to provide complete identity lineage. Unlike traditional identity providers that primarily monitor authentication, Permiso extends visibility into runtime activity, allowing security teams to observe tool calls, MCP invocations, serverless functions, workload creation, sub-agent execution, API interactions, and privilege inheritance throughout an identity's lifecycle. The platform inventories identities across cloud providers, SaaS applications, CI/CD pipelines, and enterprise infrastructure while identifying overprivileged accounts, stale credentials, toxic permission combinations, and identities most likely to be compromised. Permiso continuously monitors runtime behavior to detect anomalous activity, lateral movement, credential theft, insider threats, account takeover, and attacks targeting AI agents or machine identities. Security teams can investigate incidents using correlated runtime and control plane activity while leveraging more than 1,500 threat detection signals developed by Permiso's P0 Labs research team. The platform includes dedicated capabilities for identity visibility, identity intelligence, identity posture management, identity threat detection and response, non-human identity security, and AI agent runtime security.

Journey serves as a groundbreaking registry platform that simplifies the discovery, implementation, and sharing of reusable AI agent workflow kits, significantly boosting the functionality of these agents. Users can effortlessly browse through a variety of pre-configured workflows, known as "kits," which can be integrated into AI agents with a simple command or prompt, thereby eliminating the complexities associated with manual setups and elaborate configurations. Each kit comes equipped with a detailed, portable workflow that encompasses system prompts, behavioral guidelines, tool integrations, model preferences, and structured task sequences, enabling agents to perform consistent and reproducible tasks across various contexts. The platform is compatible with a range of agent systems, such as Claude, Cursor, Codex, and other suitable tools, ensuring a high level of flexibility and adaptability for different development settings. Moreover, Journey includes collaborative features that empower teams to manage workflows effectively, with functionalities like version control, permission management, and centralized coordination designed to streamline collaboration and boost productivity. As a result, Journey not only enhances the efficiency of individual AI agents but also fosters teamwork, making it an indispensable resource for organizations aiming to refine their AI agent workflows. With its robust tools and user-friendly approach, Journey is poised to transform the way teams interact with AI technology.

asqav stands out as an innovative platform dedicated to the governance and security of artificial intelligence, ensuring that AI agents are consistently prepared for audits through real-time monitoring, enforcement, and a dependable log of every action taken. It boasts an efficient SDK that allows developers to seamlessly integrate governance capabilities into their AI agents with minimal code, enabling thorough oversight throughout the entire AI activity lifecycle. The platform also employs behavioral analysis to detect potential issues such as drift, exceeded rate limits, and scope violations, along with advanced threat detection systems that identify risks like prompt injections, leaks of sensitive data, and harmful outputs. Policy enforcement is facilitated by customizable “policy gates,” which establish specific rules for each agent, perform preflight evaluations, and offer dynamic approvals prior to any actions, ensuring that agents operate within defined boundaries. Moreover, asqav strengthens security with automated incident response functionalities that permit the suspension, isolation, or escalation of agents assessed as high-risk, thereby creating a comprehensive framework for maintaining accountability and safety in AI applications. Through these features, asqav not only protects AI operations but also fosters confidence in their use across a multitude of industries, thereby enhancing the overall efficacy and reliability of AI technologies. Ultimately, asqav serves as a crucial ally in the responsible deployment of AI, championing best practices in governance and security.

AgentShelf Platform offers an intuitive no-code interface designed for the development, execution, and oversight of customized AI agents aimed at streamlining business operations. Teams can personalize each agent with specific context, tools, model access, permissions, and designated workspaces, enabling them to deploy experiences across various channels such as websites, internal systems, products, or third-party applications. The platform is equipped with reusable agent templates, interactive widgets, SDKs, and APIs, as well as comprehensive tools for monitoring usage, managing budgets, maintaining activity logs, and implementing access controls that can be configured as public or private. It supports a wide range of functions, from qualifying website visitors and prioritizing customer support inquiries to managing follow-ups in CRM systems, conducting research, retrieving knowledge, and generating regular reports. With these extensive features and adaptable deployment methods, the platform significantly boosts efficiency and fosters workflow automation across multiple business sectors, ensuring that teams can operate with greater agility and effectiveness. As businesses continue to evolve, the adaptability of AgentShelf will play a crucial role in meeting their dynamic needs.

Emdash is a free, open-source agentic development environment that provides tools for orchestrating AI coding agents across multiple software development tasks. The desktop application runs on macOS, Windows, and Linux and supports numerous command-line coding assistants, including Claude Code, OpenAI Codex, Cursor, Amp, Antigravity, and OpenCode. Developers can create separate tasks and assign different AI agents to implement features, investigate bugs, refactor applications, or review existing code. Each task uses an isolated Git worktree and branch, allowing multiple agents to modify the same repository without directly conflicting over working files. The platform maintains task-specific terminal sessions, agent conversations, and review information within a centralized interface. Its built-in file editor allows users to browse, search, modify, and recover source files directly within their development workspaces. Emdash includes an integrated browser for previewing local applications, remote development servers, and public web pages while working on coding tasks. Git management capabilities support reviewing code diffs, staging changes, creating commits, pushing branches, opening pull requests, and monitoring GitHub Actions checks. Scheduled automation features enable recurring agent executions for activities such as code reviews, bug sweeps, dependency maintenance, and release preparation. The software connects with Linear, Jira, GitHub, Notion, Asana, and other project management services while providing a library for reusable prompts, agent skills, and Model Context Protocol servers. Remote execution capabilities support SSH-connected development machines and provisioned workspaces, with persistent terminal sessions and isolated environments for managing agents across local and remote infrastructure.

Eyrane represents a cutting-edge AI security platform currently under development, tailored for teams engaged in security and engineering, particularly those overseeing agents and automated processes. Its core purpose is to aid organizations in pinpointing an array of elements such as agents, models, tools, MCP servers, identities, credentials, permissions, and interconnected systems, while also charting the access routes between these various components. The platform is designed to implement runtime policies that determine whether actions by agents are authorized, need further scrutiny, or are outright forbidden, based on criteria such as identity, permissions, tools, and the sensitivity of the data at play. Furthermore, Eyrane assesses the performance of agents in the context of potential threats, including prompt injection, tool misuse, privilege abuse, data exfiltration, and issues related to MCP. Its potential uses include managing agent inventories, conducting access audits, real-time monitoring, bolstering MCP security, and supporting AI red teaming efforts. Eyrane ultimately strives to empower security and engineering teams in deploying AI agents across business applications and workflows, ensuring thorough oversight and control throughout the process. With its emphasis on balancing security and operational efficiency, Eyrane emerges as an essential asset in the dynamic realm of AI governance, poised to adapt to future challenges as they arise.

Archestra is an open-source, self-hosted AI platform that facilitates the management and deployment of agents across an organization. It boasts agentic chat capabilities designed for users without a technical background, in addition to various applications, skills, collaborative initiatives, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security safeguards, and extensive observability, all seamlessly integrated into one platform. Through single sign-on (SSO) authentication, users can engage with tools while maintaining their unique identities rather than relying on shared service accounts. The platform organizes projects to bring together chats, files, scheduled tasks, and instructions, while agents function within isolated containers, activated by triggers such as schedules, emails, or webhooks. MCP servers are deployed within the organization's Kubernetes environment, adhering to security-validated promotion protocols that implement separate credentials and network rules. Additionally, the knowledge bases can connect with Confluence, Jira, drives, and internal documents, preserving source-system ACLs to ensure users only access information they are authorized to view. Overall, this extensive array of features establishes Archestra as an essential asset for organizations aiming to enhance their AI deployment efficiency and governance. By offering a user-friendly experience coupled with robust security measures, Archestra empowers teams to innovate while maintaining stringent access controls.

Paperclip is an AI workforce orchestration platform that transforms how organizations deploy and manage autonomous agents. Built around the concept of running an AI-powered company, the platform allows users to define strategic objectives, create organizational structures, assign AI agents to specialized roles, and monitor progress through a centralized dashboard. Paperclip supports model-agnostic and provider-independent agent deployment, enabling businesses to combine agents from different ecosystems within a single operational framework. Features such as goal alignment, hierarchical delegation, ticket-based collaboration, heartbeat scheduling, budget enforcement, governance controls, and immutable audit logs provide the oversight necessary for enterprise-scale AI operations. As an open-source, self-hosted solution, Paperclip gives organizations complete control over their AI workforce while streamlining complex workflows across multiple business functions.

Microsoft Foundry Agent Service enables organizations to create, manage, and scale AI agents that automate complex, distributed processes with enterprise-grade reliability. Developers can design multi-agent systems using custom code or open frameworks like the Microsoft Agent Framework and LangGraph, then deploy them with built-in hosting and orchestration. The platform integrates natively with Azure Logic Apps, providing access to more than 1,400 connectors for building end-to-end automation across business systems. Agents can securely interact with APIs, tools, and proprietary data via Model Context Protocol, giving them the context needed to produce accurate, grounded results. With built-in memory and organizational context, agents can maintain continuity across interactions and deliver more personalized assistance. Foundry Agent Service includes comprehensive governance features—such as Entra Agent ID, audit logs, observability dashboards, and safety guardrails—that give enterprises complete oversight. Developers can monitor cost, performance, and quality in real time, ensuring scalable, predictable deployments. One-click publishing to Microsoft Teams and Microsoft 365 Copilot makes it easy for employees to use agents where they already work. Backed by Azure’s security, global infrastructure, and more than 100 compliance certifications, the platform supports mission-critical use cases across regulated industries. Overall, Foundry Agent Service transforms AI from isolated experiments into fully governed, production-grade automation across the enterprise.

Our creative team has developed a user-friendly and powerful online platform for the efficient management of remote displays. This versatile interface acts as an essential tool for refining your communication methods. Take advantage of our advanced, multi-channel solutions that cover websites, social media, and various digital mediums to boost your marketing initiatives, resulting in greater sales and broader audience engagement. We offer a wide array of multi-platform players that work seamlessly with Windows, Linux, Android, iOS, and SOC, allowing you to manage different types of screens including LED, LCD, totems, digital furniture, tablets, overhead projectors, screen walls, and menu boards. Regardless of whether you are managing a single screen or a vast network of thousands, you can easily control your entire display fleet without limitations. Our design office is dedicated to tailoring solutions that align perfectly with your specific needs. EMITY not only allows for the simultaneous streaming of identical content across numerous screens but also gives you the tools to effectively schedule broadcasts. Furthermore, EMITY supports the effortless distribution of a variety of content types from diverse sources such as web feeds, APIs, databases, RSS feeds, weather information, traffic data, real estate APIs, and much more, ensuring that your content remains dynamic and captivating. By utilizing this all-encompassing system, you can significantly enhance your audience's overall experience while optimizing your communication strategies, leading to improved outcomes for your organization. Ultimately, our platform is designed to transform how you engage with your audience through innovative technology and tailored solutions.