28 Agents
Agents give your users a prepared assistant instead of a blank chat. An agent bundles instructions, knowledge, tools, and starter prompts behind a single name so non-technical users get a guided experience.
There are two flows in the product, and you need to keep them separate in your head:
- Published Sophea agents ship inside the platform. Presentation Agent, Financial Agent, Web Search, and others are available here. Your Portal administrator chooses which Sophea-published agents are available in your workspace via the
external_agentsfeature. You do not build these inside Nous, and you do not attach document sets to them from the workspace. - Workspace-created agents are agents you build inside Nous. They use your own document sets (see Document sets), your own actions, and your own instructions. This is the flow the rest of this page walks you through.
If you only need ad-hoc exploration, plain workspace chat is enough. Reach for a workspace-created agent when the same task needs to be repeated by several users with the same scope and tone.
When you select a published agent from Tools → Agents in the chat composer, it stays selected for subsequent messages in the same chat, including when a run continues in the background. Turn the agent off in the picker when you no longer want to use it. Switching chat, assistant, or project context can clear the selection, as can choosing Deep Research.
28.1 Projects
Projects let users group related chats under a shared set of instructions and context files. Instead of starting every conversation from scratch, a project carries its own instructions and uploaded files into every chat opened under it.
Click the Projects icon in the main left sidebar to open the projects panel.

To create a project:
- Click New Project at the top of the projects panel.
- Give the project a name.
- Add shared instructions in the instructions field. These apply to every chat opened inside the project.
- Upload any context files the project should always have available.
- Save.
Once a project exists, open a new chat from inside it. All chats in that project inherit its instructions and files automatically.
Use projects when a team member regularly works in the same context, for example a standing client engagement, a recurring research topic, or an ongoing audit. Projects reduce the overhead of re-establishing context at the start of every session.
28.2 Create an agent
Open Agents from the workspace navigation and click New Agent, or navigate to /app/agents. Workspace admins can also create and manage agents from /app/admin/agents. The editor opens with fields for identity, instructions, knowledge, and tools.

Fill in the identity fields first:
- Name. Short and verb-led when possible, for example
HR Policy AssistantorFinance Helper. The name is what end users see in the agent picker. - Description (optional). One sentence on what this agent is for. Users see the description in the agent popover, so write it for them, not for yourself.
- Agent Avatar. Pick an icon. This is the visual the picker shows, so make it distinguishable from your other agents.
Keep each agent focused on one job. If you find yourself describing two unrelated workflows, split it into two agents. Multiple small agents almost always beat one large agent.
28.3 Instructions
The Instructions field is the agent’s system prompt. This is where you tell the agent what role it plays, what it should and should not do, and how it should format answers.

Use this rough structure when you write instructions:
- Role. One sentence on who the agent is. “You are the HR assistant for Demo Workspace employees.”
- Scope. What it should answer. “Answer questions about leave policy, payroll dates, and onboarding paperwork.”
- Limits. What it should refuse or escalate. “If the question is about a specific person’s contract or compensation, ask the user to contact HR directly.”
- Format. How long, how cited, what tone. “Answer in bullet points. Always cite the source document when you quote policy.”
Keep instructions under a page. Long prompts dilute the instructions the model actually follows, and they slow every reply. If you need lots of conditional behavior, split it into multiple agents instead.
28.4 Conversation Starters
Conversation Starters are the suggested prompts users see when they open a new chat with the agent. They are pure UX scaffolding, but they make a big difference for first-time users who do not yet know what to ask.
There are two sides to this feature, and they live in different places:
- What users see is the read-only set of starter chips on the chat home screen. Clicking a chip sends that prompt on the user’s behalf.
- Where starters are edited is the Conversation Starters field inside the agent editor. An agent owner can edit their agent, and workspace admins can manage workspace agents from the admin view.

Each starter has a Name (the label on the chip) and a Message (the prompt sent on the user’s behalf when the chip is clicked). Write between three and five starters. Cover the most common things the agent is asked. Pull the wording from real questions in your team chat or ticketing system if you have access to them.
A good set for an HR Policy Assistant might be:
- “How do I check my annual leave balance and request time off?”
- “Summarize the probation period policy for new joiners.”
- “Walk me through filing an expense reimbursement claim.”
Refresh starters every few months. If nobody is clicking them, they are not the right questions.
28.5 Knowledge
The Knowledge section attaches one or more document sets to the agent. When Use Knowledge is enabled, the agent uses those document sets as its retrieval scope for every question, the same way Knowledge Search works when a user picks a document set manually.
Use this sequence to attach knowledge:
- Toggle Use Knowledge on.
- Open the document set picker.
- Select one or more document sets you have already created and confirmed ready in Document sets.
- Save.
A few rules to keep retrieval clean:
- Attach the document set, not the connector. Document sets are the reusable, permissioned scope. A connector is just where the bytes came from.
- One scope per agent when you can. If you attach three unrelated document sets, the agent will mix them. Two agents with one set each often produce sharper answers than one agent with two sets.
- Confirm the set is ready first. A document set that is still syncing will return inconsistent results. Validate it in Knowledge Search before you wire it into an agent.
If your agent does not need any retrieval (for example, a pure tone-rewriter or a translator), leave Use Knowledge off. The agent will rely entirely on its instructions and any tools you attach.
28.6 Actions and tools
The Actions section is how the agent calls outside services or runs tools. Registered MCP tools and OpenAPI actions appear here as toggles alongside built-in capabilities such as image generation.

Things you can enable here:
- MCP tools. Tools exposed by MCP servers you have registered in Admin > Actions > MCP and that you are permitted to access. Each registered server contributes one or more tools. A workspace-created agent keeps its explicit per-tool selection across chats, and the model decides whether and when to call an attached tool.
- OpenAPI actions. Endpoints from OpenAPI specs you have registered in Admin > Actions > OpenAPI. Useful for hitting your internal REST APIs from inside a conversation.
- Image Generation. A per-agent toggle that lets the agent generate and manipulate images using AI-powered tools.
- File Reader. A per-agent toggle that lets the agent read the content of files uploaded to the chat or attached to the agent. It is on by default for new agents.
- Live App Search. Available when you have connected a supported personal app: Sophea Meet, Gmail, Microsoft Outlook, or IMAP. It queries that app as the current user when the question is asked. Mail answers can search message sender, subject, body, and recent dates, while Sophea Meet can find recent meetings by name. Personal mail is never added to Knowledge Search; indexed meeting transcripts continue to use Knowledge Search.
For the full setup of MCP servers and OpenAPI actions (registration, auth modes, tool discovery, testing a spec), see Actions. This page only covers wiring an already-registered action onto an agent.
Attach only the tools the agent needs. Each enabled tool widens the agent’s surface area and adds to the latency budget of every reply. A focused agent with two tools usually beats a permissive agent with ten.
The default workspace assistant behaves differently: newly discovered MCP tools attach to it automatically, and each user can select an accessible MCP app in the chat composer to make its enabled actions available throughout the current chat. The model may use a relevant allowed action or answer without one. The selection remains active after completed, failed, and cancelled responses until the user turns it off or starts or switches chat context. This chat-scoped selection does not change the persistent tools attached to a workspace-created agent. Private, Team, and Workspace access on the MCP server still limits who can see and execute those tools.
28.8 Publish an agent
“Publishing” in the workspace sense means making the agent available to users from the chat composer. There are two things to verify after you save:
The agent appears in the agent picker. Open a new chat and click the agents control in the composer. Your agent should be in the list, with the icon and description you set.
A real question works end to end. Pick the agent, ask one concrete question that exercises both its instructions and its attached knowledge, and read the answer carefully. Confirm:
- The tone matches your instructions.
- Citations point at the document set you attached, not at unrelated content.
- Any tools you enabled are called when the question demands them, and not called when it does not.
If something is off, go back to the editor. The most common fixes are tightening the instructions, narrowing the attached document set, or removing a tool the agent should not have had.
The same agent picker lists Sophea-published agents (when your Portal administrator has enabled them for your workspace) alongside your workspace-created agents. Users pick from the same control.
28.9 Chart and Presentation artifacts
When an enabled published agent creates a chart or presentation, Nous shows the result as an artifact card in the chat instead of placing the artifact JSON in the answer. Chart cards include a safe PNG preview and downloads for the JSON, SVG, and PNG files. Presentation cards include best-effort slide thumbnails and downloads for the PowerPoint and PDF files when those formats are available.
Artifact links are authenticated to the current workspace and remain available for 30 days. If a link has expired, ask Sophea to generate the chart or presentation again. SVG files are downloaded as attachments; they are not displayed as executable markup in the chat.
Chart and Presentation are published by default for workspaces that inherit the platform agent policy. The assistant automatically uses them for clear chart or deck creation requests in English or Greek, but neither is mandatory and neither appears as a selected composer step. Explicitly selected tools keep precedence. Chart requires exact structured rows in one Markdown table or fenced JSON/CSV dataset and never invents values. Presentation can call Chart internally when complete rows are available. When a deck request explicitly asks for current research, Presentation can also call Web Search internally and only charts rows that are verified against cited source evidence. A Portal administrator can still disable either agent globally or for a workspace.
An immediate follow-up such as “create a presentation about it” or “use that chart in a deck” reuses the exact Chart result from the preceding turn in the same conversation branch. Presentation preserves the source rows and chart visual rather than asking the model to reconstruct them. If the preceding chart is missing, ambiguous, expired, altered, or belongs to another workspace, Sophea asks the user to create or provide the chart again and does not generate a deck from unverified data. If secure storage cannot distinguish a missing chart from a temporary access problem, Sophea instead asks the user to try again.
28.10 Built-in Deep Research mode
Nous also has a separate built-in Deep Research mode. A workspace admin controls it through Settings > Chat Preferences, not through Portal’s published-agent selection. When enabled, it appears in the composer’s Tools menu, runs alone, and deselects other active tools. It is not available in project chats.
Deep Research is a Nous chat mode controlled by Chat Preferences. It is independent of the published agents that your Portal administrator enables for the workspace.
A Deep Research run keeps going on the server when the user refreshes the page, navigates away, closes the tab, or loses the network. The same applies to an ordinary chat answer. Reopening the chat shows the answer as it is being written and follows it to the end, then shows the final result with its citations.
Only the Stop control cancels a run. A cancelled run stays cancelled and is still shown as cancelled after a refresh, so users can tell a deliberate stop apart from a connection that dropped.
Published Sophea agents are unaffected by this. They already run in the background after Nous accepts the handoff, and closing the tab never interrupted them.
For everything else (writing your own instructions, attaching your own document sets, wiring your own actions), stay in the workspace-created agent flow that the rest of this page describes.
