The Self-Improving AI Agent with Constitutional Guardrails
An autonomous agent that improves your codebase continuously—safely governed by immutable constitutional constraints, with every decision auditable and every change reversible.
AURA continuously analyzes, plans, tests, and improves your codebase—while operating within strict constitutional boundaries that humans define and only humans can change.
AURA runs improvement cycles autonomously: analyze weaknesses, generate improvements, test in isolation, and integrate only what measurably improves the system.
Immutable laws define what AURA can and cannot do. The constitution is checksummed—any tampering is detected at boot and triggers an immediate halt.
Backed by ngramDB, AURA's memory strengthens successful patterns and weakens failed approaches. The longer it runs, the smarter and more efficient it becomes.
A continuous loop of analysis, action, and learning—with safety gates at every step.
Assess code quality, test coverage, performance, and security across your codebase.
Select the highest-impact improvement and generate a targeted change, consulting memory for past patterns.
Execute and test proposed changes in a fully isolated container with zero network access.
Measure composite fitness. Only changes that improve the system are promoted.
Store outcomes in ngramDB memory. Successes reinforce, failures inform future cycles.
Every cycle is autonomous. Human engineers define objectives and set boundaries—AURA handles the continuous improvement work.
AURA's safety isn't a policy document—it's enforced at every architectural layer.
AURA operates under a set of immutable laws that define its boundaries. The constitution is integrity-verified at every boot—any unauthorized change halts the system immediately and alerts operators.
All generated code runs in isolated containers with zero network access, read-only filesystems, and strict resource limits. Bad code is destroyed—the host system is never at risk.
Every decision, every LLM interaction, every code change is logged. No force-pushes, no squashes—the git history is an immutable record. Every change is traceable and reversible.
When AURA encounters ambiguity or uncertainty, it pauses and escalates to human operators. Unconditional human override is always available— stop AURA at any time, for any reason.
Architecture is separated into a human-maintained supervisor, a stable orchestration layer, and ephemeral execution containers. LLM-generated code never runs in the same process that controls the system.
All outbound communications are scanned for credential patterns, secrets, and sensitive data before transmission. Nothing leaves the system without inspection.
AURA is not "AI that writes code." It's a governed system that continuously improves codebases within auditable constraints.
Your codebase improves continuously while your team focuses on high-value work. AURA handles the incremental quality improvements, test coverage gaps, and security hardening autonomously.
Unlike stateless tools, AURA builds expertise over time. Failed approaches are never repeated. Successful patterns are reinforced. A month of AURA is exponentially more effective than day one.
Constitutional governance, immutable audit trails, and DLP scanning align with SOC 2, ISO 27001, and enterprise compliance frameworks. Every action is logged, traceable, and reversible.
Intelligent routing between local and cloud LLM providers with hard budget caps. AURA optimizes for cost without sacrificing quality— and spending never exceeds your configured limits.
AURA uses ngramDB as its persistent memory substrate. Successful patterns strengthen through Hebbian learning, failed approaches naturally decay, and raw observations consolidate into actionable insights—giving AURA the kind of expertise that only comes from experience.
Learn about ngramDBAURA is available for enterprise evaluation. Contact us to discuss your codebase, compliance requirements, and deployment model.
Contact Enterprise Salesenterprise@engramforge.com
AURA is currently in beta. Capabilities and features described on this page reflect current development targets and may change prior to general availability.