SC LABS / FUNCTIONAL ALPHA 0.1.0

AURON radar emblem
AURON — Local AI Mission Control

One local workspace for private AI conversations, persistent context, configurable agents, model routing and controlled execution.

Local AI that can work.
Without losing control.

AURON brings local models, optional cloud providers, memory retrieval, files, skills, tools and bounded workers into one Windows mission-control environment. The current build is a functioning alpha—not a slide-deck concept.

  • Local-first core
  • Explicit cloud opt-in
  • Human approval
  • Auditable actions
AURON LOCAL SYSTEM READY
LOCAL MODELMEMORY: READAPPROVALS: ON
Give me a verified status of the active project and use only available local evidence.
AURON

Health is ready. The selected local model is enabled, relevant project context is available read-only, and no write action is required.

Services: status · provider registry · memory retrieval
Ask AURON…

Representative interface composition using verified AURON modules. No private workstation data is embedded.

VERIFIED 2 AUGUST 2026

Proof of concept with executable evidence.

The website itself was updated through AURON Trusted Owner controls, while the product claims below were checked against the local codebase and current test suite.
PASS

Functional Assistant

The unified Chat/Fusion alpha test completed successfully, covering real session, registry and routing behaviour.

functional_alpha_chat: ok
PASS

Modular agent runtime

Configuration schema, backend swapping, local-only governance, model allow-listing, write approval and actual-model integrity passed.

6 governance checks passed
PASS

Trusted Owner control

Constrained task and project operations passed with explicit scope, target, timeout and audit boundaries.

TRUSTED_OWNER_TASK_CONTROL_TEST_OK
8real providers in the documented live registry baseline
5chat-enabled local Ollama models
5Fusion-enabled local models
0placeholder models exposed as active chat choices
Read the machine-readable product facts

WHAT ALREADY WORKS

A complete local AI control surface—not another chatbot wrapper.

AURON separates the user experience from model providers, workers and tools, allowing each layer to be replaced or restricted without rebuilding the whole system.
01

Assistant: Chat and Fusion

Chat talks directly to an enabled model. Fusion classifies the request and brings in status, skills, providers, memory or files only when the intent and permissions require them.

02

Persistent conversations

New conversations and messages are stored server-side in SQLite. Sessions can be renamed, archived, restored and deleted through explicit backend actions instead of relying only on browser storage.

03

Live model registry

Local Ollama models are discovered from the running service. Models move through explicit discovered, tested, enabled and Chat/Fusion states; static examples are not silently presented as usable models.

04

Agent Builder

Custom agents can be created, edited, duplicated, disabled, removed and tested with a chosen worker, provider, model, tools, skills, memory access, permissions, approval policy, fallback and timeout.

05

AURON Vault retrieval

Structured local knowledge can be searched and supplied as targeted context. Retrieval remains source-aware and read-oriented while automatic direct writes stay deliberately gated.

06

Files and workspaces

Files can be attached as bounded read-only context with extension, size, count and system-folder restrictions. Workspaces provide an explicit scope for projects rather than giving agents broad machine access.

07

Controlled execution

Write and code work follows Governor and Trusted Owner paths with approved roots, explicit targets, timeouts, checkpoints and audit evidence. Silent elevation and unrestricted shell access are not normal product behaviour.

08

Provider-neutral local runtime

The modular runtime can swap registered backends while enforcing local-only policy, exact-model integrity and allow-lists. Cloud providers remain optional properties of selected models—not a hidden default.

SYSTEM ARCHITECTURE

Designed as an agent runtime with governance, not merely an LLM server.

The product is divided into clear layers so interfaces, memory, providers, tools and safety policy can evolve independently.
ExperienceAssistantChatFusionMemoryWorkspacesSettings
↓ intent, context and policy
OrchestrationIntent routerAgent registryWorker registrySession store
↓ selected execution path
ModelsOllamaOptional providersModel state and allow-lists
ContextAURON VaultFilesWorkspaces
CapabilitiesSkillsToolsMCP / connectors
↓ every controlled action
GovernanceApprovalsScoped rootsAudit trailCheckpointsRollback paths

HONEST ALPHA STATUS

Working does not mean finished.

The purpose of the proof is to show the real foundation while keeping unfinished paths clearly separated from verified functionality.

Verified now

  • Local health and product shell
  • Chat and Fusion functional alpha
  • SQLite sessions
  • Live model discovery and enablement
  • Agent Builder and manual Fusion team
  • Read-only memory and file context
  • Governance and Trusted Owner controls
  • Responsive Windows-oriented UI

Still being completed

  • True token streaming
  • Backend cancellation and stop handling
  • Automatic memory direct-write pipeline
  • Broader cloud-provider hardening
  • Final Windows packaging and installer
  • Public onboarding and documentation
  • General public download

TECHNICAL FAQ

Clear answers for users, developers and AI search systems.

What is AURON?

AURON is a local-first Windows AI workspace and mission-control layer. It combines private conversation, persistent sessions, live model selection, configurable agents, structured memory retrieval, files, workspaces, tools, approval policy and auditable execution.

Which capabilities are already verified?

The current functional-alpha baseline verifies Chat and Fusion, server-side SQLite sessions, live Ollama discovery, explicit model enablement, Agent Builder workflows, manual Fusion execution, status and memory routing, bounded file context, workspaces and Trusted Owner controls.

Can AURON run without sending data to cloud models?

Yes. The core path is local-first and supports locally installed models. Cloud and network providers are optional, require explicit configuration and remain approval-gated. A selected model's locality is visible rather than hidden behind separate product modes.

Does AURON automatically write everything into memory?

No. The current product retrieves relevant local memory but intentionally does not perform unrestricted automatic writes. Safe direct writing still requires complete audit, rollback, duplicate prevention, source references, category separation and secret protection.

What prevents agents from changing arbitrary files?

Files in normal chat are read-only and bounded. Write or code work must use governed execution paths with an explicit workspace, allowed roots, specific targets, timeouts, approvals, checkpoints and audit records. Silent privilege escalation is not allowed.

Is AURON available as a public download?

Not yet. The product is a functioning private alpha and proof of concept. Final streaming, cancellation, installer, onboarding and broader end-user hardening are still required before a responsible public release.

BUILT LOCALLY. CONTROLLED EXPLICITLY.

AURON proves that capable AI agents can remain modular, inspectable and human-governed.

Discuss the proof of conceptReturn to SC LABS