Documentation Index
Fetch the complete documentation index at: https://docs.agno.com/llms.txt
Use this file to discover all available pages before exploring further.
A research system that only runs from a script helps the person at the keyboard. Behind an API it answers from Slack, runs as a nightly review, and feeds a dashboard. AgentOS serves agents, teams, and workflows on the same contract.
from agno.os import AgentOS
agent_os = AgentOS(
agents=[market_analyst, financial_analyst, risk_officer, committee_chair],
teams=[coordinate_team, broadcast_team],
workflows=[investment_workflow],
)
app = agent_os.get_app()
if __name__ == "__main__":
agent_os.serve(app="main:app", port=8000)
curl -X POST http://localhost:8000/workflows/investment-workflow/runs \
-F 'message=Run a full review on NVDA' \
-F 'user_id=pm@fund.com' \
-F 'session_id=q4-review' \
-F 'stream=false'
Where a research system lives
| Surface | Shape |
|---|
| Slack channel | An analyst asks “review NVDA”; the pipeline replies in-thread with the memo |
| Scheduled review | A cron runs the workflow nightly on a watchlist and posts the decisions |
| Dashboard | A widget triggers a review and renders the structured decision |
| Backend gate | A pipeline calls the workflow before a position changes, blocks on a PASS |
Pick the entry point per request
| Caller wants | Hit |
|---|
| The decision of record | The Workflow (deterministic, auditable) |
| An open-ended question | A coordinate Team |
| An independent multi-view read | A broadcast Team |
| A single fact | A route Team |
Scheduled research is the high-leverage pattern
The review nobody remembered to run is the one that mattered. A scheduled workflow turns deep research from on-demand to always-on: every morning the watchlist is reviewed, the memos are written, and the decisions are waiting before anyone asks.
Next steps
| Task | Guide |
|---|
| Add Slack or a browser surface | Interfaces |
| Lock down the endpoints | Security and auth |
Developer Resources
