AI Agent Architecture

BASTION deploys 131 AI agents across five categories, orchestrated by LangGraph with PostgreSQL-backed state management and strict human-in-the-loop safety controls.

Orchestration

Agents run as LangGraph state machines with PostgreSQL checkpoints for durable execution. Each agent maintains its own checkpoint thread, enabling pause/resume, retry, and audit replay. The checkpoint store persists full graph state including intermediate reasoning steps.

LLM Configuration

Each agent specifies its own LLM provider and model, with system-wide defaults as fallback:

• Provider: Anthropic, OpenAI, or any OpenAI-compatible endpoint
• Model: Configurable per agent (e.g., claude-sonnet-4-20250514 for complex reasoning, lighter models for classification)
• Global defaults: Applied when an agent does not declare a provider/model override

Agent DIDs

Every agent receives a deterministic Decentralized Identifier (DID) derived from its role name and the parent DAO. DIDs provide a stable, cryptographically verifiable identity for message signing, audit attribution, and cross-DAO agent references.

MCP Tool Registry

Agents access external capabilities through the Model Context Protocol (MCP) tool registry:

• Tools are registered with JSON Schema definitions for inputs and outputs
• The registry enforces schema validation on every invocation
• Tools span database queries, blockchain operations, graph traversals, and external API calls

Secure Message Bus

Inter-agent communication runs over a pg-boss job queue with security controls:

Property	Detail
Access control	ABAC-aware; messages filtered by agent role and clearance
TTL	24-hour default; expired messages archived automatically
Dead letter queue	Failed deliveries routed for inspection and retry
Ordering	FIFO within priority bands

Human-in-the-Loop Checkpoints

All consequential agent outputs pass through human review before taking effect. The checkpoint system:

• Pauses execution at configured decision points
• Presents the proposed action with full reasoning chain
• Requires explicit human approval, rejection, or modification
• Logs the decision with the reviewer's identity for audit

Agent Categories

Category	Count	Purpose
Governance	4	DAO proposal screening, feasibility, and context analysis
Operational Planning	14	MDMP support, assumption auditing, compliance checking
Strategic Analysis	4	Document review, OSINT, threat monitoring, fusion
Graph Analysis	7	Entity resolution, conflict detection, RAFT extraction
JPP Staff	102	Full joint planning process staff roles (J1-J9, functional, component)
Total	131