Agent enhancement infrastructure
Make your agent smarter.
Give your agent expert capability, governed memory, and the ability to improve through real work.
Give your agent persistent capabilityGive your agent persistent capabilityGive your agent persistent capability.
SHIKI gives an agent a new domain capability. argsmem makes that capability persistent, governed, and improvable through evidence.
Powerful models still produce forgetful agents.
When work resets, your team has to brief, review and correct the same work again.
| Capability | Typical agent | Prompted agent | MorphusAI Agent |
|---|---|---|---|
| Continues the work context | ✕ No | ✕ No | ✓ Yes |
| Makes handoffs work | ✕ No | ✕ No | ✓ Yes |
| Turns corrections into standards | ✕ No | ✕ No | ✓ Yes |
The carrier
Your Agent.
Keep the model and harness you already use. Add the capability, continuity and boundaries it needs for real work.
Two capability engines.
SHIKI gives an agent expert persona, domain knowledge and judgment. argsmem carries governed experience forward and links every decision to what it led to.
argsmem
The capability layer
SHIKI
Not a tone of voice or a role-play prompt. SHIKI gives an agent a domain-specific way to notice, reason, decide, work, and define what good looks like.
You giveA domain expert, real cases, and the quality standard that must hold.
You getAn agent with a new domain capability—not one that merely remembers answers.
The governed learning layer
argsmem
argsmem records decisions, evidence, outcomes, corrections and operational boundaries. It carries useful experience forward without silently rewriting the expertise defined by SHIKI.
You giveThe systems it may access, the boundaries it must respect, and feedback from real work.
You getAn agent that preserves context, learns from reviewed outcomes, and stays auditable.
The core
Make capability compound—without losing control.
SHIKI defines how the agent should think and deliver. argsmem carries forward what the work proved, what changed, and what must remain true.
The Agent Stack, applied to real work.
Expert Agents, production workflows and AI characters are not separate products. They are proof that one stack can give agents distinct expertise, continuity and governed improvement.
Fashion
ÉLAN
You give
One photo.
Runs on
ÉLAN
Interior
The Designer
You give
One blank 2D floor plan.
Runs on
The Designer
Film
The Director
You give
The product, or just the goal.
Runs on
The Director
Frequently asked questions
What is MorphusAI?
MorphusAI turns expert judgment into AI agents your team can use repeatedly. It is built for a specific role and standard of work—not a generic chatbot or a workflow builder.
What's the difference between SHIKI and argsmem?
SHIKI is the judgment layer: it shapes how an agent evaluates context, makes trade-offs, and responds. argsmem is the governance layer: it retains approved decisions, corrections, and important facts so the agent can act consistently over time.
How is MorphusAI different from a typical AI agent platform?
Typical platforms give you tools to configure an agent yourself. MorphusAI delivers an agent built around a specific expert capability, with a record of the rules and corrections behind its decisions—not just its final output.
How long does implementation take?
It depends on the role, scope, integrations, and success criteria. We usually begin with a focused use case and define the delivery plan after scoping.
How do you keep the agent governed over time?
Important decisions, human corrections, and verified facts are retained as structured context. This makes the agent's behavior reviewable and improves future decisions without letting short-term signals overwrite established rules.
Start with one capability that matters
Give your agent persistent capability.
Choose one agent, one domain capability it does not have today, and one measurable outcome it must improve. We will define the first proof with you.