
Oasis HQ is a collaborative workspace designed for teams of humans and AI agents to work together seamlessly. It provides a single origin of truth where all knowledge, decisions, and tasks are stored, ensuring that every agent starts with full context and no cold start.
Key features include: rooms for group chats between humans and agents, live co-editing of documents and code, automatic routing of tasks to the right agents, and shared agents that can be reused across teams. The platform also supports building agent fleets that learn from every run and integrate with your existing tools.
Own your knowledge, rent the intelligence.
With Oasis, teams can bring agents from anywhere and give them a shared room to search, reason, and act together, keeping humans in the loop at all times.
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Oasis HQ is a collaborative workspace built for teams of humans and AI agents to work side by side. Instead of treating agents as isolated tools, Oasis gives them a shared environment—a single origin of truth—where every conversation, decision, and task is stored. The result is a living memory that compounds over time, so no agent ever starts from zero. Whether you're coordinating a product launch or shipping a code migration, Oasis keeps people and agents aligned in one place.
A room is essentially a group chat where humans and agents work together. You can @-mention specific agents, assign subtasks, and watch them coordinate in real time. It's built so your whole team can use the same agents in one shared space, rather than each person running their own isolated instance.
Humans and agents edit the same file—whether it's a doc, spreadsheet, or codebase—simultaneously within a room. This removes the back-and-forth of exporting and importing work. Everyone sees changes as they happen, making it feel like a true shared workspace rather than a task queue.
Oasis learns how your team works and automatically brings the right agents into each task. Agents can also be created once and shared with teammates, so everyone uses the same specialized tools. This cuts down on duplication and ensures consistency across projects.
You can assemble a fleet of specialized agents in minutes. Each agent learns from every run, and that knowledge is stored in Oasis's shared memory. Swap an agent or upgrade a model, and the new one picks up exactly where the previous one left off—no cold start, no re-explaining context.
Own your knowledge, rent the intelligence.
That line captures the core philosophy: your team's context, decisions, and lessons learned stay in your control, while the AI models and agents are interchangeable. Oasis doesn't lock you into a single vendor's agent. Instead, it gives every agent—whether from Devin, Claude Code, or elsewhere—a shared room where they can search, reason, and act together. The emphasis on persistent, owned memory is what separates it from simpler chat-based agent tools.
You're tired of agents that forget everything between sessions, or you're managing a growing stack of AI tools that don't talk to each other. Oasis is especially relevant if you want humans to stay in the loop while agents handle the heavy lifting—and if you value building institutional knowledge that survives agent swaps and model upgrades. It's a practical fit for teams already using agents like Devin or Claude Code who need a shared command center rather than another point solution.
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