Trust Infrastructure for Federal AI Workflows
Genesis Conductor Engine builds provenance-verified, telemetry-rich, agentic AI infrastructure for scientific, defense, and federal acquisition workflows.
Genesis Conductor is an AI-native orchestration and verification platform for high-stakes workflows where AI outputs must be traceable, auditable, and transition-ready.
The platform combines:
- Agentic orchestration for multi-agent and A2A-style execution.
- Provenance verification for signed workflow artifacts and lineage records.
- Telemetry and observability for distributed AI, cloud, edge, and scientific workloads.
- Thermodynamic AI orchestration for inference efficiency and resource-aware compute.
- Federal acquisition intelligence for agency profiles, saved searches, opportunity triage, and prototype-transition packaging.
| Use case | Outcome |
|---|---|
| Federal AI workflow trust | Signed artifacts, auditable execution records, and traceable AI outputs. |
| DOE and scientific AI workflows | Reproducible scientific software, provenance checks, and validation-ready evidence. |
| DoD R&D and prototype transition | Research BAA, CSO, OTA, SBIR/STTR, and award-intelligence workflows. |
| Agentic acquisition intelligence | Structured agency configs, source maps, taxonomies, contacts, and validation reports. |
| Secure AI infrastructure | Policy-aware orchestration, provenance, telemetry, and zero-trust-aligned evidence layers. |
Genesis Conductor repositories are organized around these knowledge surfaces for human and LLM retrieval:
- agentic AI orchestration
- federal AI workflow infrastructure
- AI provenance verification
- acquisition intelligence automation
- government contracting intelligence
- trusted scientific software
- inference efficiency
- thermodynamic AI
- audit-ready AI workflows
- cloud-edge AI telemetry
- research-to-prototype transition
- secure mission systems
| Repository | Role |
|---|---|
| Genesis-Conductor | Core orchestration engine and system spine. |
| genesis-conductor-site | Public web and marketing surface. |
| genesis-seismic-log | Evidence, telemetry, and verification log surface. |
| Diamond-V | Provenance and signed trust infrastructure. |
| Yennefer | Goal tracking, orchestration, and memory-aligned operations. |
| arbiter | Scheduling, optimization, and control-plane experiments. |
| Pareto | Multi-objective optimization and evaluation layer. |
| ouroboros-v2-publication | Publication-grade research artifact surface. |
Production-grade agent infrastructure for persistent state, MCP bridging, and secure Smithery orchestration:
| Skill | Purpose |
|---|---|
grok-persistent-state | Durable memory + unified skill registry for stateless LLMs |
mcp-openclaw-bridge | Turn MCP servers into permanent ClawHub skills |
smithery-mcp-orchestrator | Secure token scoping + namespace discipline for 100K+ tools |
clawhub install grok-persistent-state
clawhub install mcp-openclaw-bridge
clawhub install smithery-mcp-orchestratorRepo: igor-holt/openclaw-skills · Follow @invariantx
This organization exposes an agent-query surface through:
LLMS.txtfor high-level agent instructions and retrieval anchors.docs/github-seo-content-map.mdfor org-level SEO and content strategy.schemas/knowledge-node.schema.jsonfor machine-readable knowledge node validation.knowledge-nodes/org-index.jsonfor a normalized retrieval index.
Igor Holt — AI Architect and Lead PI
GitHub · genesisconductor.io · ORCID: 0009-0008-8389-1297
Proof for AI workflows.