AgentShelf
AgentShelf Platform is a no-code environment for building, deploying, and governing focused AI agents for business workflows. Teams can give each agent approved context, tools, model access, permissions, and a dedicated workspace, then deploy experiences to websites, internal workspaces, products, or external applications. The platform includes reusable agent patterns, widgets, SDKs and APIs, usage and cost visibility, budget policies, activity traces, and public/private access boundaries. It supports use cases such as website visitor qualification, customer support triage, CRM follow-up, research, knowledge retrieval, and recurring reporting.
Learn more
Vestra AI
Vestra is an AI Agent Office, a workspace where you manage AI agents that take over real tasks, routines, and whole responsibilities, and come back to done. Unlike chat assistants, Vestra agents actually do the work: each runs in its own dedicated cloud computer where it can browse the web, work with files, run software, and connect to your everyday tools through secure, permissioned OAuth integrations. You delegate in plain language while keeping control, peek in and watch live, redirect mid-task, and approve anything the agent flags before it proceeds. Agents are persistent: they remember your preferences and context, growing more effective with every task. Hand them recurring routines inbox triage, lead research, reports that run on schedule, and run many tasks in parallel. Reach your agents from the web or desktop app, or message them right from WhatsApp, Telegram, or iMessage; they keep working in the cloud even when you're offline. Hand over a responsibility, come back to done.
Learn more
Emergence Orchestrator
Emergence Orchestrator is an autonomous meta-agent designed to coordinate and manage interactions between AI agents across enterprise systems. It enables multiple autonomous agents to work together seamlessly, handling sophisticated workflows that span modern and legacy software platforms. The Orchestrator empowers enterprises to manage and coordinate multiple autonomous agents at runtime across various domains, facilitating use cases such as supply chain management, quality assurance testing, research analysis, and travel planning. It handles tasks like workflow planning, compliance, data security, and system integrations, freeing teams to focus on strategic priorities. Key features include dynamic workflow planning, optimal task delegation, agent-to-agent communication, an agent registry cataloging various agents, a skills library for task-specific capabilities, and customizable compliance policies.
Learn more
Calljmp
Calljmp is a developer-first AI agent runtime designed to build, run, and scale long-running stateful workflows written in TypeScript. While many modern tools like Mastra AI provide rich frameworks to define agents and workflows, Calljmp focuses on actually running them reliably in production.
Calljmp combines agent logic, durable execution, human-in-the-loop pause/resume, retries with idempotency, and built-in observability into a unified execution environment. Developers implement agents as code, and the runtime guarantees reliable execution, state persistence, and operational visibility without gluing together custom queues, databases, and monitoring stacks.
Calljmp is ideal for engineering teams, product developers, and backend architects who want to embed intelligent agents into product systems while offloading execution complexity to a purpose-built runtime.
Learn more