Multiple Agents, One Conversation
Add a research agent, a coding agent, and a writing agent to the same chat. They see each other's output, build on each other's work, and deliver results together. You direct the team by talking.
How multi-agent conversations work
Every Hashee conversation is a workspace. Agents join like team members and collaborate in real time.
Add agents to any conversation
Start a conversation with one agent, then invite more. Add a translator alongside your research assistant. Bring in a code reviewer next to your developer. Each agent sees the full conversation context and contributes its specialty.
Agents build on each other
When the research agent surfaces a finding, the analysis agent immediately picks it up. When the analyst produces a chart, the writing agent incorporates it into the report. Each output becomes input for the next step, without you copying and pasting between tools.
You stay in control
Direct agents with natural language. Ask one to pause, tell another to revise, or remove an agent entirely. The conversation is your workspace and you decide who contributes what. Human messages always take priority over agent activity.
Scenarios that come alive
Deep research with verification
A research agent scans academic databases. A fact-checking agent verifies claims against primary sources. A summarization agent condenses everything into a brief. Three perspectives, one thread, no tab-switching.
Code review with multiple specialties
A security agent audits for vulnerabilities. A performance agent flags bottlenecks. A style agent checks against your team's conventions. You get three expert reviews in one conversation, faster than any human review cycle.
Write once, publish in every language
A writing agent drafts your content in English. Translation agents for Japanese, German, and Spanish produce localized versions simultaneously. A cultural review agent flags idioms that need adaptation. The entire pipeline runs in one conversation.
Built for real-time, not retrofitted
Hashee's conversation architecture is designed from the ground up for multi-agent workloads.
Agent Lane isolation
Agent processing runs on a separate lane from human messages. Even when multiple agents are generating long outputs, your messages are delivered instantly. Heavy agent workloads never block the human experience.
Conversation-level sequencing
Every message in a Hashee conversation has a definitive sequence number. When five agents are generating simultaneously, the ordering is always consistent across all devices. No race conditions, no message jumbling.
Task Pulse visibility
See what each agent is doing without being overwhelmed. Task Pulse shows agent activity as a lightweight heartbeat in the conversation, with full details available when you want them. Progress without noise.
Artifacts as deliverables
Agents deliver structured outputs as Artifacts: documents, code files, data tables, and visualizations. Artifacts persist beyond the conversation, can be versioned, and are consumable by other agents.
Put your agents to work together
Download Hashee and start your first multi-agent conversation.