feat(db): mesh data model — meshes, members, invites, audit log

- pgSchema "mesh" with 4 tables isolating the peer mesh domain
- Enums: visibility, transport, tier, role
- audit_log is metadata-only (E2E encryption enforced at broker/client)
- Cascade on mesh delete, soft-delete via archivedAt/revokedAt

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

.context/turbostarter-framework-context/sections/ai/docs/agents.md

@@ -0,0 +1,56 @@
+---
+title: Agents
+description: Build powerful, autonomous AI agents capable of performing complex tasks within your web and mobile applications.
+url: /ai/docs/agents
+---
+
+# Agents
+
+<Callout title="Agents are coming soon!">
+  This feature is currently under development and will be
+  available in a future release.
+
+  [See roadmap](https://github.com/orgs/turbostarter/projects/1)
+</Callout>
+
+The AI Agents demo will showcase how to create intelligent, autonomous agents capable of executing complex tasks within your web and mobile applications.
+
+These agents will leverage advanced AI techniques to interact with users, tools, and data sources.
+
+## Features
+
+<Cards>
+  <Card title="Cross-platform">
+    Design agents once and deploy them seamlessly across multiple platforms
+    including React, React Native, Expo, and Next.js through a unified
+    architecture.
+  </Card>
+
+  <Card title="Memory">
+    Implement sophisticated context retention that allows agents to maintain
+    state and recall critical information across conversations and devices with
+    perfect continuity.
+  </Card>
+
+  <Card title="Function calling">
+    Enable agents to take meaningful actions by integrating with external tools,
+    accessing APIs, and executing functions dynamically within secure,
+    controlled environments.
+  </Card>
+
+  <Card title="MCP integration">
+    Leverage the [Model Context
+    Protocol](https://modelcontextprotocol.io/introduction) to standardize
+    context delivery between agents and Large Language Models (LLMs). This
+    enables frictionless connections to diverse data sources and tools,
+    dramatically enhancing agent capabilities.
+  </Card>
+
+  <Card title="Agentic workflows">
+    Orchestrate complex workflows combining Retrieval-Augmented Generation
+    (RAG), tool utilization, and MCP server interactions to solve sophisticated
+    tasks that previously required human intervention.
+  </Card>
+</Cards>
+
+Stay tuned for the release of this exciting functionality!