Kollab
Kollab is an AI-native collaborative workspace designed to bring team communication, project execution, and intelligent automation into a single unified environment. It positions itself as a shared workspace where AI agents act as real team members, capable of executing tasks, retrieving information, and coordinating workflows directly inside the tools teams already use. Through integrated bots, Kollab embeds these agents into messaging platforms such as Slack or Telegram, allowing users to trigger actions, ask questions, or run workflows without switching applications, keeping all work within the natural flow of conversation. It introduces reusable “Skills,” which convert repeatable processes into structured, shareable workflows that any team member can deploy, ensuring consistency and scaling operational knowledge across projects. It also incorporates persistent contextual memory, turning documents, discussions, and past decisions into a living knowledge base.
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Zaro
Zaro is a workspace for building the agents, apps, and tools a team actually needs from the data the company already owns. It brings scattered context into one versioned, searchable, permissioned workspace where every document, call, decision, ticket, CRM record, Slack thread, file, and specification can become usable by agents and applications. Instead of letting context reset inside disconnected tools, Zaro makes intelligence compound: every agent run reads from the workspace, writes back to it, and makes the next run smarter. Teams can create a workspace for the whole company, a department, or a specific use case, then connect existing data without changing how people already work. Agents can be scheduled, triggered, or run on demand, built on MCP for AI tool connectivity, with support for any model, any framework, and no vendor lock-in.
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Hamster
Hamster is an AI-first workspace designed to help developers and teams plan, structure, and execute projects by providing persistent context to AI coding agents across tools and workflows. It allows users to define a clear plan, brief, and context that can be injected into multiple AI development tools such as Claude, Codex, Gemini, Copilot, and others, ensuring that every agent operates with the same understanding of the project. Instead of relying on isolated prompts, Hamster centralizes instructions and project knowledge so agents can generate more accurate, consistent, and goal-aligned outputs throughout the development process. It works as a coordination layer for AI-driven building, enabling users to move their plans seamlessly between tools while maintaining continuity and reducing context loss. By supporting a wide range of AI coding environments, Hamster acts as a universal interface that connects different models and systems into a cohesive workflow.
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Kore.ai
Kore.ai is an enterprise AI platform that enables organizations to build, deploy, manage, and optimize AI agents for customer service and employee productivity use cases. Its Agent Platform, known as Artemis, provides the foundation for creating AI-powered applications, intelligent workflows, and enterprise-grade automation solutions. The platform includes pre-built applications for industries such as banking, healthcare, retail, human resources, recruiting, and IT support. Organizations can also leverage AI agent builders, enterprise search, orchestration tools, and marketplace integrations to accelerate development and deployment. Kore.ai is designed to support large-scale enterprise environments with strong governance, administrative controls, and integration capabilities. By combining AI agents, automation, and business process intelligence, Kore.ai helps enterprises improve operational efficiency and customer experiences.
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