Reference Streamlit dashboard for the Agent Governance Toolkit (AGT). Provides a single-pane-of-glass view into your autonomous-agent fleet: fleet overview, shadow agent detection, lifecycle monitoring, policy evaluation feed, and agent-to-agent trust heatmap.
Note: This dashboard uses simulated demo data out of the box so you can explore without deploying AGT infrastructure. For a dashboard wired to the live AgentMesh EventBus, see
agent-governance-python/agent-mesh/examples/06-trust-score-dashboard/.
| Dashboard | Location | Data Source | Best For |
|---|---|---|---|
| This one (Fleet Governance) | demo/governance-dashboard/ |
Simulated | Quick demo, stakeholder presentations, evaluating AGT concepts |
| Trust Score Dashboard | agent-governance-python/agent-mesh/examples/06-trust-score-dashboard/ |
Simulated (pluggable to live) | Deep trust/credential/protocol monitoring, production starting point |
| DashboardAPI backend | agent-governance-python/agent-mesh/src/agentmesh/dashboard/ |
Live EventBus | Building your own custom frontend against real AGT data |
pip install -r requirements.txt
streamlit run app.pyOpen http://localhost:8501 in your browser.
| Page | What it shows |
|---|---|
| Fleet Overview | KPI cards, agents by type / state / risk / owner, full agent table |
| Shadow Agents | Agents without identity, risk breakdown, recommended actions |
| Lifecycle Monitor | Provisioning funnel, credential status, orphan candidates, event timeline |
| Policy Feed | Allow / deny / escalate metrics, action breakdown, top denied actions |
| Trust Heatmap | Agent-to-agent trust score matrix and trust-tier distribution |
docker compose up --buildThe dashboard is available at http://localhost:8501.
governance-dashboard/
├── app.py # Streamlit application
├── demo_data.py # Synthetic data generators
├── requirements.txt # Python dependencies
├── Dockerfile
├── docker-compose.yml
└── README.md
See the repository root for license details.