About This Site
Collaborative workspace for teams and AI agents with shared context and memory Oasis HQ is a collaborative workspace where humans and AI agents work together using shared context, memory, policies, approvals, and integrated tools. Teams can organize conversations in rooms, assign tasks to specialized agents, edit documents and code collaboratively, and maintain a persistent knowledge base so agents retain decisions, tasks, and lessons learned. Oasis HQ supports agent fleets, automatic agent routing, shared agents, scheduled rooms, integrations, and administrative controls for growing teams.
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Key Features AI
Core Features
Human and AI agent collaboration in shared rooms
Shared context, persistent memory, and a single source of truth
Collaborative editing of documents, spreadsheets, and codebases
Specialized agent fleets that can be created and shared with teammates
Automatic routing of the right agents to each task
Integrations with workplace services and applications
Scheduled rooms and scheduled agents
Policies, approvals, admin controls, exports, SSO, and audit logs on higher-tier plans
Support for open-source models, frontier models, pay-as-you-go usage, and bring-your-own API keys
Advantages
Combines human teammates and AI agents in one shared workspace
Persistent memory reduces repeated explanations and cold starts
Agents, context, and work products can be shared across teams
Supports multiple models, integrations, custom agents, and local agents
Offers collaborative work directly in documents, spreadsheets, and codebases
Scales from a free plan to enterprise controls and unlimited capacity
Enterprise plans include security, governance, data residency, and dedicated support options
缺点：Advanced governance and security features are limited to higher-tier plans
缺点：Free and Starter plans have limits on seats, integrations, and scheduled rooms
缺点：Frontier model usage may incur additional pay-as-you-go charges
缺点：Enterprise pricing is not publicly listed
缺点：The platform may require configuration and workflow design to get the most value from agent fleets
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