As AI agents become autonomous, the lack of governance frameworks creates systemic risk. NEXUS is an open-source platform that brings NIST AI RMF compliance to multi-agent orchestration — making AI systems auditable, accountable, and safe.
Built on established standards & frameworks
Multi-agent AI systems are being deployed without standardized governance, creating systemic risks in decision-making, accountability, and compliance. This is a critical gap the U.S. needs addressed.
Today's multi-agent frameworks lack fundamental governance:
NEXUS implements governance-first multi-agent orchestration:
NEXUS introduces several original contributions to the field of multi-agent AI systems, addressing gaps not covered by existing frameworks.
A novel JSON-based agent manifest schema defining capabilities, constraints, cost tiers, quality thresholds, and behavioral policies. Each of the 12 agents is fully described in a machine-readable spec that enables deterministic routing and automated governance validation.
Multi-Criteria Decision Making (TOPSIS/AHP) applied to AI agent selection. Tasks are scored against agent capabilities to select the optimal executor — a deterministic, auditable process.
NIST AI RMF policies encoded as JSON Policy Cards. Risk thresholds, autonomy levels, and escalation rules enforced automatically at the orchestration layer — not bolted on after deployment.
Recursive Self-Improvement: every agent output is quality-scored via automated evaluation. Below-threshold results trigger context-enriched re-dispatch. The system measurably improves over time.
A modular relay (9 modules) that abstracts 8 LLM backends behind a unified API. Synaptic packets carry context between agents. Stigmergic traces enable shared memory. Zero vendor lock-in.
Every component was designed, engineered, and deployed by a single developer — demonstrating deep expertise in AI systems architecture, DevOps, and governance.
Juan David designed and built the entire NEXUS platform — from the multi-agent orchestration bridge to the NIST-aligned governance framework, 20 MCP tool servers, and automated quality assurance pipeline. The project demonstrates deep expertise spanning AI/ML infrastructure, distributed systems, DevOps, and enterprise compliance frameworks.
NEXUS addresses a critical gap in the U.S. AI ecosystem: as autonomous agents proliferate, no existing framework provides standardized governance at the orchestration layer. This project contributes original solutions to a problem of national importance — making AI systems auditable, accountable, and safe for enterprise deployment.
Every request passes through a governance-validated pipeline: authentication, policy enforcement, MCDM routing, dispatch, and quality verification.
NEXUS fills critical governance gaps that no current multi-agent framework addresses.
| Governance Capability | CrewAI | LangGraph | AutoGen | NEXUS |
|---|---|---|---|---|
| NIST AI RMF Compliance | No | No | No | Built-in |
| Declarative Policy Cards | No | No | No | 22 Policies |
| SOP Decision Graphs | No | Partial | No | 11 SOPs |
| MCDM Agent Scoring | No | No | No | TOPSIS/AHP |
| Cryptographic Audit Trail | No | No | No | Ed25519 |
| Anti-Loop Neural Protection | No | No | No | Active |
| Cost Governance ($0 entry) | No | No | No | Cascading |
| Interchangeable Backends | 1 | 1 | 1 | 8 Backends |
| Air-Gapped / Offline Mode | No | No | No | Ollama |
NEXUS is released under Apache 2.0. Run locally with zero cost, or deploy to production with Docker Compose.
An open-source contribution to AI governance — making multi-agent systems auditable, accountable, and safe for enterprise deployment.