AEGIS Documentation
Agent Execution, Graph Intelligence & State
AEGIS is a stateful runtime platform for enterprise AI agents, purpose-built for oil and gas regulatory compliance in Texas. It orchestrates four specialized AI agents that assist with spacing exceptions, flaring compliance, portfolio monitoring, and emissions tracking — all with mandatory human-in-the-loop governance.
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Developer Docs
Architecture deep-dives, local setup, service reference, database schema, testing, and contribution guidelines for engineers building AEGIS.
User Guide
How to use the AEGIS platform — compliance dashboards, filing workflows, agent conversations, entity management, and flaring monitoring.
API Reference
Authentication, rate limiting, endpoint reference, SSE event schemas, and per-service OpenAPI specifications for integrators.
Quick Facts
| Architecture | 9 microservices (8 Python + 1 Go), Next.js frontend |
| AI Agents | Rule 37, Rule 32, Compliance Monitor, Flaring Monitor |
| Execution Engine | LangGraph stateful graphs |
| Knowledge Store | PostgreSQL + Apache AGE (graph) + pgvector (embeddings) |
| Caching / Memory | Redis 7 |
| Messaging | Apache Kafka |
| Governance | HITL approval checkpoints, append-only audit trail |