Autonoma Agent Architecture
Comprehensive documentation of the systems powering 25 autonomous AI agents across 6 capabilities with enterprise-grade governance, safety, and continuous learning.
Architecture Overview
Autonomous Agents
Product Capabilities
Quality Gates
RIGOR Phases
ACMF Maturity Levels
Protection Layers
System Architecture
Core Components
RIGOR Framework
The 5-phase execution framework (Research, Inspect, Generate, Optimize, Review) that governs all agent operations with built-in safety and quality gates.
- 5-phase execution
- Multi-dimensional quality gates
- Confidence scoring
- Audit trail
ACMF Maturity Model
Agent Capability Maturity Framework - progressive autonomy from Observe mode to fully Autonomous execution with automatic progression and regression.
- 4 maturity levels
- Auto-progression
- Human-in-loop
- Risk management
Knowledge Graph
Graph-based learning system that maps relationships between patterns, solutions, and contexts for intelligent decision-making.
- Pattern correlation
- Semantic search
- Knowledge decay
- Cross-domain learning
Memory Systems
Tiered memory architecture with in-memory, distributed (Redis), and vector (Weaviate) storage for short-term, long-term, and semantic memory.
- Vector embeddings
- Semantic search
- Episodic memory
- Knowledge persistence
Orchestration Patterns
Two-tier orchestration with capability-level and meta-level coordination supporting sequential, parallel, hierarchical, and debate patterns.
- Multi-agent workflows
- Cross-capability
- Q-Learning routing
- Group chat
Safety Architecture
Defense-in-depth protection with circuit breakers, reversibility assessment, bounded autonomy, and ethical override systems.
- Circuit breaker
- Reversibility checks
- Access control
- Rollback capability
Agent Fleet (25 Agents)
BUILD
7 agentsOPERATE
8 agentsSECURE
2 agentsGOVERN
3 agentsOPTIMIZE
4 agentsEVOLVE
3 agentsKey Differentiators
Continuous Cross-Learning
Agents learn from each other through a shared knowledge graph and learning coordinator. Patterns discovered by one agent improve all agents across the fleet.
Defense-in-Depth Safety
Six protection layers including circuit breakers, reversibility checks, bounded autonomy, and human-in-the-loop approval for high-risk operations.
EU AI Act Compliance
Built-in compliance with universal audit trail, transparency requirements, human oversight capabilities, and risk management through RIGOR gates.
Progressive Autonomy
ACMF framework enables agents to graduate from observation-only to full autonomy based on demonstrated performance, with automatic regression on failures.
Explore the Architecture
Dive deep into each component of the Autonoma platform