First showcase
Coding & engineering
From repository context to implementation, CI, architecture review and a reviewable change.
+ NAESTRO / META BRAIN
Intelligence moves.
Keep its trajectory.
A META BRAIN for intelligent work.
Designed as a self-evolving OS for the pre-ASI era.
Connect people, models, agents, memory and tools around shared goals, governed action and work that continues.
A CONTINUING SYSTEM01 — 06
- Goal
- Action
- Record
Goals. Agents. Memory. Governance. Evidence.
Meet the systemONE GOAL · EXAMPLEShip an update
- SESSION 01Plan
- SESSION 02Build
- SESSION 03Review
CARRIED BETWEEN SESSIONS
ContextDecisionsResults
01 / THE UNIT OF WORK
A prompt is a moment.
A trajectory is the work.
A trajectory is the continuing history of a goal: its context, plans, actions, decisions and results.
NAESTRO is STARGA, Inc.’s proprietary commercial META BRAIN: a coordinating intelligence layer for people, models, agents, tools and execution environments. It organizes how intelligent work proceeds, what carries forward, and what an engineer can review.
The vision is a governed, self-evolving operating system that can coordinate and control software, services, intelligence and devices through admitted interfaces. It improves how work is done by proposing changes, evaluating them and retaining evidence before adoption. The ambition is general intelligence.
Read the architecture02 / FOLLOW THE WORK
Interrupt it.
Then understand the recovery.
Inspect a dependency review in two runs. See a tool fail, an action get refused, and a continuation carry the original context forward.
Unavailable
A failed tool is still a failed tool.
The test runner is unavailable. No test result is created, and the trajectory retains the failed attempt.
- Tool
- Isolated test runner
- Result
- Unavailable
- Test evidence
- Missing
No live agents. No external actions. A local, deterministic illustration of the trajectory model. Inspect sample record ↗
03 / A COHERENT OPERATING ENVIRONMENT
One trajectory.
Distinct responsibilities.
01Direction
Goals & context
Make the objective, working context and scope explicit before execution.
02Coordination
Plans, agents & tools
Organize work across specialized agents and configured execution surfaces.
03Control
Policy & continuing state
Keep proposed actions, permission decisions and recoverable state distinct.
04Inspection
Evaluation & evidence
Review what happened alongside the inputs, attempts and limits of the result.
THE PLATFORM VISION
Many intelligences.
One META BRAIN.
Choose the right model, agent and machine for the work. Keep the goal, context and accountability connected.
NAESTRO’s direction is a modular business OS connecting people, applications, business services and AI systems. Models, agent CLIs, skills, harnesses and compute nodes are parts of that wider operating environment.
The MIND ecosystem supplies the foundations for contracts, execution, memory, routing, governance and evidence. NAESTRO keeps those distinct roles connected to the work.
Specialized modules bring that foundation into engineering, research and business operations. Each combines a workspace with the skills, agents and tools its work requires.
Explore the platform & module roadmapTHE OPERATING MODELCONCEPT VIEW
Architecture vision; integrations are validated individually.
One foundation. Specialized workspaces.
Product direction · module delivery proceeds in stages.
Integration direction
Research & MIND-Lab
Connect questions, literature, experiments and retained evidence through a continuing research loop.
Module roadmap
Accounting & bookkeeping
Bring documents, reconciliations and period-close preparation into an inspectable workflow.
Module roadmap
CRM & engagements
Carry customer context, follow-ups and engagement history across the life of a relationship.
Module roadmap
Finance & fintech
Coordinate analysis, invoices and financial operations with explicit authority for consequential actions.
Module roadmap
Documents & operations
Connect business knowledge, document work, marketing and audit preparation to the same operating context.
04 / BUILT AROUND REAL WORK
Start with a difficult workflow.
Carry the work across sessions.
Coordinate investigation, implementation and review without treating each session as a fresh start.
Context → plan → implementation → review
Give actions an explicit scope.
Explore workflows where agent proposals, policy decisions and execution records can be inspected separately.
Proposal → decision → bounded action
Keep attempts, not just conclusions.
Organize hypotheses, experiments and results so failed attempts remain useful to the next iteration.
Question → experiment → result → revision
Make the result reviewable.
Agree on a bounded protocol, preserve the record, and make missing evidence visible to the reviewer.
Protocol → trajectory → evidence → review
05 / THE MIND ECOSYSTEM
From intent
to admitted action.
In the ecosystem architecture, MIND-Intent defines the contract, MIND establishes what can be checked, and 512-MIND authorizes. Execution, memory, architecture review and evidence each have their own role.
Follow the decision boundaries Explore the components & current work
MIND-Intent06 / INSPECT BEFORE YOU ADOPT
Substance you can examine.
START HERE / 01
The technical overview
A practical path through concepts, integration questions and public documentation.
SET THE QUESTION / 02A bounded evaluation
Define the workload, retained evidence and acceptance criteria before the run.
HISTORICAL RESULTS / 03The benchmark archive
Explore the retained Terminal-Bench 2.1 dashboard with its measurement scope.
YOUR NEXT TRAJECTORY
What should intelligence
be able to carry forward?
Bring an engineering workflow, a research loop, or an evaluation question. Let’s define a useful next step.
Discuss your workflow