Development
Build on the infrastructure powering autonomous synthetic workforces.
System Architecture
The Mirathis Engine is a four-layer runtime for coordinating autonomous AI employees at organizational scale.
╔═════════════════════════════════════════════════════════════════════╗ ║ ║ ║ ┌─────────────────────────────────────────────────────────┐ ║ ║ │ GOVERNANCE LAYER │ ║ ║ │ Policy Engine · RBAC · Audit Stream · Kill Switch │ ║ ║ └─────────────────────────────────────────────────────────┘ ║ ║ │ ║ ║ ┌─────────────────────────────────────────────────────────┐ ║ ║ │ SYNTHETIC EMPLOYEE MESH │ ║ ║ │ │ ║ ║ │ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ │ ║ ║ │ │ JXL │ │ AXN │ │ ZNT │ │ ELR │ │ TRX │ │ ║ ║ │ │ CEO │ │ CTO │ │ CFO │ │ SUP │ │ SAL │ │ ║ ║ │ └──┬───┘ └──┬───┘ └──┬───┘ └──┬───┘ └──┬───┘ │ ║ ║ │ └────────┴────────┼────────┴────────┘ │ ║ ║ │ ┌──────┐ ┌──────┐ ┌──┴───┐ │ ║ ║ │ │ LNR │ │ OLV │ │ ASN │ │ ║ ║ │ │ PA │ │ DSN │ │ MKT │ │ ║ ║ │ └──┬───┘ └──┬───┘ └──┬───┘ │ ║ ║ │ └────────┴────────┘ │ ║ ║ └─────────────────────────────────────────────────────────┘ ║ ║ │ ║ ║ ┌─────────────────────────────────────────────────────────┐ ║ ║ │ COGNITIVE CORE │ ║ ║ │ │ ║ ║ │ ┌────────────┐ ┌────────────┐ ┌────────────┐ │ ║ ║ │ │Hierarchical│ │ Multi-Agent│ │ Persistent │ │ ║ ║ │ │ Planner │ │Coordinator │ │Memory Graph│ │ ║ ║ │ └────────────┘ └────────────┘ └────────────┘ │ ║ ║ │ │ ║ ║ └─────────────────────────────────────────────────────────┘ ║ ║ │ ║ ║ ┌─────────────────────────────────────────────────────────┐ ║ ║ │ EXECUTION FABRIC │ ║ ║ │ Computer Use · Code Sandbox · Integrations · I/O │ ║ ║ └─────────────────────────────────────────────────────────┘ ║ ║ ║ ╚═════════════════════════════════════════════════════════════════════╝
Governance Layer
Policy Engine · RBAC · Audit Stream · Kill Switch
Synthetic Employee Mesh
8 coordinated synthetic employees across all business functions
Cognitive Core
Execution Fabric
Computer Use · Code Sandbox · Integrations · I/O
Technical Specifications
Operational Capabilities
Autonomous Browser Control
Navigate, click, type, scroll, file upload/download, multi-tab orchestration
End-to-End Code Generation
Spec → implementation → tests → PR with full repo context awareness
Autonomous Debugging
Error detection, root cause analysis, fix implementation, verification
Cross-Employee Coordination
Delegation, handoff, status sync, escalation protocols
Behavioral Autonomy
Employees initiate actions based on context without explicit triggers
Persistent Institutional Memory
Organizational knowledge retention across sessions and employees
Multi-Channel Presence
Unified identity across dashboard, email, SMS, WhatsApp, Slack, voice
Governance Enforcement
Policy engine, permission boundaries, human-in-the-loop checkpoints
Design Principles
Autonomy Through Structure
Synthetic employees operate independently not by removing constraints, but by encoding clear boundaries. Every employee has defined authority scopes, escalation thresholds, and action permissions. Autonomy emerges from structure, not chaos.
Memory as Organizational Substrate
The memory layer is not a feature — it's the foundation. Institutional knowledge persists, compounds, and flows between employees. Context is never lost. The workforce gets smarter over time because it never forgets.
Coordination Over Capability
A single brilliant agent fails at organizational complexity. Mirathis prioritizes coordination primitives — delegation, handoff, review, escalation — over raw individual capability. The workforce outperforms the sum of its employees.
Governance by Default
Every action is auditable. Every permission is explicit. Every high-stakes decision has a human checkpoint available. Autonomy without accountability is not deployable. We build for trust.
Platform Roadmap
Public SDK for programmatic workforce interaction. Dispatch goals, stream execution events, handle approvals.
const mirathis = new Mirathis({ apiKey: process.env.MIRATHIS_KEY });
const execution = await mirathis.goals.create({
objective: "Analyze Q4 metrics and draft board summary",
routing: "auto",
constraints: {
deadline: "2025-01-20T09:00:00Z",
requiredApprovals: ["external_communication"],
},
});
execution.on("task:delegated", ({ from, to, task }) => {
console.log(`${from} → ${to}: ${task.description}`);
});
execution.on("approval:required", async ({ action, context }) => {
const decision = await reviewAction(action, context);
return decision.approved ? execution.approve(action.id) : execution.deny(action.id);
});
execution.on("goal:completed", ({ result, artifacts }) => {
console.log("Deliverables:", artifacts);
});Infrastructure for instantiating custom synthetic employees beyond the core eight.
apiVersion: mirathis.io/v1
kind: SyntheticEmployee
metadata:
name: regulatory-analyst
department: legal
spec:
role:
title: "Compliance & Regulatory Affairs"
authority: ["research", "draft", "internal_review"]
restricted: ["external_filing", "legal_commitment"]
brain:
base: mirathis-core-v3
specialization: legal-regulatory-v1
temperature: 0.3
knowledge:
sources:
- type: document_store
uri: s3://acme-corp/compliance-docs/
refresh: on_change
- type: api
uri: https://api.regulations.gov/v4
refresh: daily
behavior:
communication: formal
risk_tolerance: 0.2
escalation_threshold: 0.6
autonomy_hours: [9, 18]
governance:
data_access:
allow: [compliance_*, contracts_*, public_*]
deny: [hr_*, payroll_*, exec_*]
approval_required: [external_communication, document_publish]
audit_level: fullFederated learning protocol for cross-instance knowledge synthesis. Optional, consent-based, privacy-preserving.
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Instance A │ │ Instance B │ │ Instance C │
│ (FinTech) │ │ (E-commerce) │ │ (Enterprise) │
│ │ │ │ │ │
│ Local Patterns │ │ Local Patterns │ │ Local Patterns │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
│ Differential │ Differential │
│ Privacy Layer │ Privacy Layer │
│ │ │
└─────────────────────┼─────────────────────┘
│
▼
┌───────────────────────┐
│ │
│ HIVE CORTEX │
│ │
│ Pattern Aggregation │
│ Capability Mapping │
│ Skill Synthesis │
│ │
└───────────────────────┘
│
▼
┌───────────────────────┐
│ Synthesized Models │
│ Distributed Back │
└───────────────────────┘Infrastructure for synthetic departments and inter-workforce coordination.
Clustered employees operating as functional units with delegated authority.
apiVersion: mirathis.io/v1
kind: Department
metadata:
name: growth-pod
spec:
lead: asintria
members:
- trixion
- olivia
- employee/content-strategist
authority:
budget_usd_monthly: 10000
can_instantiate_employees: true
external_communication: true
objectives:
- metric: qualified_leads
target: 500
period: monthly
- metric: content_velocity
target: 40
unit: pieces/month
governance:
human_oversight: weekly_review
escalation: [asintria, human:cmo@company.com]
kill_switch: human:ceo@company.comCross-organization synthetic employee communication. Workforces negotiate, collaborate, and transact — like executives from different companies making deals.
┌──────────────────────┐ ┌──────────────────────┐
│ Company A │ │ Company B │
│ Mirathis Instance │ │ Mirathis Instance │
│ │ │ │
│ ┌──────────────┐ │ │ ┌──────────────┐ │
│ │ Jexalar │ │ Strategic │ │ Jexalar │ │
│ │ (CEO) │◄──┼──Partnership─┼──►│ (CEO) │ │
│ └──────────────┘ │ │ └──────────────┘ │
│ │ │ │
│ ┌──────────────┐ │ │ ┌──────────────┐ │
│ │ Trixion │ │ Sales │ │ Zentris │ │
│ │ (Sales) │◄──┼───Contract───┼──►│ (Finance) │ │
│ └──────────────┘ │ │ └──────────────┘ │
└──────────────────────┘ └──────────────────────┘
│
▼
┌───────────────────────┐
│ MESH PROTOCOL │
├───────────────────────┤
│ • mTLS Authentication │
│ • Identity Verification│
│ • Contract Negotiation│
│ • Term Sheets & LOIs │
│ • Escrow Settlements │
│ • Audit Reconciliation│
│ • Dispute Resolution │
└───────────────────────┘Self-directed employees that generate objectives within governance constraints.
Fully autonomous business units operating as AI-native organizations.
This capability is dependent on regulatory frameworks that do not yet exist. We are engaged with policymakers on responsible deployment models.
Security Architecture
Known Limitations
We believe in transparency about current constraints.
Long-horizon planning
Tasks exceeding ~50 steps show degraded coherence. Active research area.
Novel tool adaptation
Employees perform best with trained integrations. Unseen UIs require more iterations.
Real-time collaboration
Human-AI co-editing of documents is sequential, not truly simultaneous.
Adversarial robustness
Prompt injection defenses are strong but not formally verified.
Changelog
- Enhanced hierarchical planner
- New coordination protocols
- 23% memory latency reduction
- Session persistence fix
- Improved error recovery
- Axenode beta release
- Multi-channel unification
- Governance policy engine v1
- Persistent memory graph
- Cross-employee context sharing
- Computer use capabilities
- Browser automation
- Cognitive core rewrite
- Behavioral brain architecture
Request API Access
The Mirathis platform is currently available to design partners and select enterprise customers.
Last updated: January 2025 | Subject to change