@happyvertical/smrt-personas
Tenant-owned agent personalities that scope instructions, tools, identity, memory, feedback, and human-approved adaptation.
What it gives you
Tenant-owned agent personalities that scope instructions, tools, identity, memory, feedback, and human-approved adaptation.
- 01Context-aware persona resolution
- 02Independent memory and schedules per durable agent instance
- 03Feedback-driven directive proposals with a human approval gate
Resolution walks the context hierarchy
PersonaResolver.resolve selects an exact context before a type-scoped or tenant-wide persona, then uses priority and name for a stable tie-break. It walks ancestors and intersects the persona ceiling with TenantAgent, so a closer or broader record cannot silently widen the agent tool ceiling.
Learning signals propose; people approve
Feedback accepts accept, reject, correction, rating, outcome, and metric signals and deduplicates them by fingerprint. reinforceFromFeedback can strengthen memory, while ReflectionRunner creates a DirectiveProposal. DirectiveApprovalService remains permission-gated. Durable instances use personaInstanceKey, agentOptionsForPersona, and schedulePersonaInstance; upgradeSingletonToDefaultPersona preserves an existing singleton path.
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Intentionally not registered
Generated interface
REST
The exact route set comes from each model's @smrt({ api }) policy
and the application manifest—not from a second controller definition.
GET /api/agent-personas
GET /api/agent-personas/:id
POST /api/agent-personas
PATCH /api/agent-personas/:idWhat stays consistent
- Tenant scope and operation permissions run before model access.
- OpenAPI and generated clients use the same manifest fields.
- Packages can expose read-only or custom action sets.
Generated interface
MCP
AI tools are generated from the methods you explicitly include. Their inputs are validated against the same model metadata used by REST and CLI.
agent-personas_list({ where, limit, orderBy })
agent-personas_get({ id })
agent-personas_create({ data })
agent-personas_update({ id, data })Agent-safe by construction
- Tool availability can be narrower than the HTTP API.
- Principal execution intersects RBAC, agent ceilings, and persona tools.
- Descriptions and schemas are emitted from source metadata.
Browser-native agent interface
WebMCP
The generated web definitions carry the same tool names, descriptions, and JSON Schema
inputs as MCP. smrt-web registers them with document.modelContext.
import { webMcpToolDefinitions } from '@happyvertical/smrt-virt-web';
import { registerWebMcpTools } from '@happyvertical/smrt-web';
// Omitting an exposure policy registers read-only tools only.
const dispose = registerWebMcpTools(webMcpToolDefinitions);The page keeps its security boundary
- Tools execute through generated REST fetchers as the signed-in page user.
- Authentication, tenant gates, permissions, and field policy stay server-side.
- Feature detection makes registration a safe no-op outside supported browsers.
Generated interface
CLI
The app CLI turns manifest resources into predictable operator commands while keeping package-specific actions close to their models.
smrt agent-personas list --limit 25 --order-by created_at:desc
smrt agent-personas get <id>
smrt agent-personas create --from-file ./record.jsonMade for automation
- Machine-readable output and file-based input.
- The same include/exclude policy as other surfaces.
- Migration, introspection, dispatch, and knowledge commands stay in smrt-cli.