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OptimAI Persona Agent

Persona Agent is the memory and identity layer of OptimAI. It lets users turn approved context into a reusable agent profile: preferences, projects, trusted sources, workflows, and voice.

Search gives the agent current context. Claw gives it execution. Persona gives it continuity.

Position In The Stack​

LayerPersona relationship
SearchUses live context while respecting trusted sources and preferences.
ClawApplies memory to research, extraction, and recurring workflows.
NodesProvide the runtime and network context behind agent tasks.
Reinforcement Data NetworkHelps decide what context is reliable enough to reuse.
MarketplaceCan support reusable persona-aware agents and workflows with permission boundaries.

Why Persona Matters​

Most AI assistants reset between sessions or depend on opaque platform memory. Persona Agent is designed around explicit, user-approved memory.

That matters because useful agents need to remember:

  • what the user is working on
  • which sources the user trusts
  • how the user prefers output
  • what decisions have already been made
  • which workflows repeat
  • what should remain private

Memory Model​

Memory typeExamplesDefault stance
Preferencestone, format, risk tolerance, preferred toolsprivate
Projectsgoals, plans, documents, milestonesprivate
Sourceswatchlists, trusted sites, accounts, dashboardsprivate or scoped
Workflowsweekly brief, market map, report templateprivate
Decisionsprior comparisons, selected options, rejected pathsprivate
Feedbackcorrections, approvals, ratingsprivate or aggregated

Persona Loop​

Capabilities​

Personal memory​

Store user-approved preferences, sources, project context, and workflow patterns.

Context-aware research​

Use Search while applying the user’s watchlists, preferred formats, and known goals.

Workflow continuity​

Reuse previous decisions and task structures instead of rebuilding a workflow from scratch.

Controlled sharing​

Keep personal memory private by default. Share only what the user explicitly approves for a task, campaign, or marketplace agent.

Memory Governance​

Persona should make memory legible. A user should be able to understand:

  • what was saved
  • why it was saved
  • where it came from
  • whether it is private, scoped, or shared
  • how to edit or delete it
  • which agent or workflow can use it

Example Personas​

PersonaWhat it tracks
Foundercompetitors, hiring plans, investor updates, roadmap decisions
Researchertopics, papers, citations, source quality, open questions
Tradernarratives, risk rules, protocols, on-chain and social signals
Creatorvoice, audience, content pillars, campaign performance
Developerstack preferences, APIs, codebase patterns, issue context

Relationship To The Stack​

  • Search brings in new context.
  • Claw executes research, extraction, and workflow steps.
  • Persona decides what should be remembered.
  • Nodes provide the distributed runtime and data layer.
  • OPI can support premium agent services, marketplace use, and reward flows.

Builder References​

See Persona API preview, SDK memory example, and Persona memory schema.