# Features
Valdr features are the product capabilities you use to turn ad-hoc agent runs into a repeatable operating system for software work. These pages explain what each feature does, why it matters, and how it fits with the UI and MCP reference docs.

Start here when you want the outcome and workflow view. Use the UI and MCP sections when you need screen-by-screen or tool-by-tool details.

{{< cards >}}
  {{< card link="knowledge/" title="Workspace Knowledge" subtitle="Persistent workspace context, cross-project code search, and Agent Memory Notebooks" icon="server" >}}
  {{< card link="agent-sessions/" title="Agent Sessions" subtitle="Launch, inspect, message, and chain agent execution through MCP" icon="terminal" >}}
  {{< card link="team-capabilities/" title="Team Capabilities" subtitle="Reusable operational behavior that teaches agents how your team works" icon="user-group" >}}
  {{< card link="orchestration/" title="Multi-Agent Orchestration" subtitle="Coordinate planners, executors, reviewers, and auditors through explicit workflow control" icon="switch-horizontal" >}}
  {{< card link="reviewable-workflows/" title="Reviewable AI Workflows" subtitle="Evidence-backed review, audit, scoring, and approval gates for agent work" icon="check-circle" >}}
{{< /cards >}}

## Platform stack

The feature pages build upward through the Valdr platform model:

| Layer | Feature | What changes |
|-------|---------|--------------|
| **Context** | [Workspace Knowledge](knowledge/) | Agents start with persistent engineering context instead of pasted summaries |
| **Runtime** | [Agent Sessions](agent-sessions/) | Agent work becomes persistent, inspectable orchestration runtime state |
| **Operational behavior** | [Team Capabilities](team-capabilities/) | Team standards become reusable agent behavior instead of repeated prompts |
| **Coordination** | [Multi-Agent Orchestration](orchestration/) | Specialized agents hand work off through explicit workflow control |
| **Governance** | [Reviewable AI Workflows](reviewable-workflows/) | Agent output gets evidence-backed review, scoring, and approval gates |