DAEDALUS
Executive Cortex
One command layer for every model, agent, and workflow you run.
DAEDALUS unifies local language models, a living knowledge graph, durable workflows, and a registry of specialized agents into a single system that remembers every decision, survives every interruption, and can prove every result — on hardware you control, with an auditable trail behind everything it does.
Six subsystems, one executive cortex.
Multi-Frame Arbitration
Unified Model Routing
Living Knowledge Graph
Durable Execution
Governed Agent Registry
Verifiable Evidence Layer
A system of record
for machine intelligence.
DAEDALUS is not a single model or a chat box. It is the substrate that ties inference, memory, workflows and evidence into one accountable system — running where your data already lives, with no dependency on an external AI provider. Every route is logged, every decision is traceable, every result reconstructable.
Neo4j knowledge graph — conversation history, entity extraction, goal tracking and causal chains persist and stay queryable.
Hash-chained event log — a tamper-evident audit trail across every endpoint, so what happened and when is never in question.
NATS JetStream bus — guaranteed delivery and full replay for every service-to-service message.
Sovereign by default — all inference and retrieval execute locally. No telemetry, no usage reporting, nothing off-box.
What it does, in the field.
Institutional Query Arbitration
A complex, ambiguous question is decomposed through five vantage frames, routed to the optimal local model, and executed with full provenance written to the graph. The answer arrives with its reasoning, its sources, and a record of why every step was taken — defensible under review.
Forensic Document Intake
PDFs, scans, and images flow through PaddleOCR into automatic entity extraction and relationship mapping, then land in the knowledge graph anchored with Poseidon commitments. A pile of unstructured files becomes a searchable, tamper-evident evidence base.
Compounding Institutional Memory
Every interaction adds to a persistent graph of people, assets, decisions, and outcomes. Instead of re-briefing a stateless model, teams query a system that already holds the history and surfaces the relevant prior work on its own.
Long-Horizon Durable Workflows
Multi-stage processes that run for hours or days — reconciliations, batch verification, staged approvals — execute through Temporal with deterministic replay. Hardware failures and restarts become non-events; the workflow simply continues where it stopped.
Verifiable Custody & Attestation
Custody and asset-verification services attest that holdings exist and are controlled, then publish a zero-knowledge proof of that fact. Counterparties and auditors confirm reserves independently while the underlying positions stay private.
Governed Multi-Agent Colony
Coding, memory, OSINT, and custom agents are registered, capability-matched, and quota-enforced, coordinating over the message bus toward a shared objective. Many autonomous workers operate as one accountable system rather than a swarm you cannot inspect.
Technical Interfaces
Submits an ambiguous natural language intent for multi-frame arbitration across the VVALT engine, resolving it into a deterministic, executable routing path.
{
"intent": "analyze Q3 burn anomalies",
"frames": ["intent", "complexity", "risk", "logic", "security"],
"anchor": "0x8428ac9f717b8c..."
}Dispatches a synthesized goal to a specific specialized agent, injecting it with context from the Neo4j knowledge graph and executing securely within a firewalled runtime.
{
"agent_id": "agn-04-forensic",
"goal_id": "g-7731-89a",
"temporal_ttl": "300s",
"require_zk_proof": true
}Run intelligence you can account for.
DAEDALUS consolidates a fragmented AI stack into one sovereign system — model routing, durable workflows, a living memory graph, and verifiable evidence, all on hardware you control.