Enterprise DAG Swarms & Persistent Memory
Replace brittle single-prompt chains with multi-agent swarms. We design custom agent architectures using LangGraph and Redis state stores where specialized supervisor agents decompose complex tasks into parallel execution branches with human-in-the-loop guardrails.
Production-tested execution flow designed for multi-region reliability and security.
Deconstructs user request into directed acyclic graph (DAG) sub-tasks.
Delegates sub-tasks to specialized agents (Coder, Auditor, Integrator).
Stores context in Redis and PostgreSQL vector databases.
Requests manager approval for high-risk tool operations.
Breaks enterprise processes into structured, verifiable sub-steps executed by role-focused agents.
Hooks agents into internal REST APIs, GraphQL endpoints, SQL databases, and legacy ERP systems.
Maintains cross-session execution history and semantic memory to ensure contextual continuity.
Enforces human confirmation thresholds for database writes, financial transactions, or system updates.
from langgraph.graph import StateGraph, END
from typing import TypedDict, List
class SwarmState(TypedDict):
task: str
plan: List[str]
results: List[str]
hitl_approved: bool
def supervisor(state: SwarmState):
print(f"Planning sub-tasks for: {state['task']}")
return {"plan": ["fetch_data", "analyze_risk", "generate_report"]}
def worker_agent(state: SwarmState):
return {"results": ["Data verified", "Risk minimal"]}
workflow = StateGraph(SwarmState)
workflow.add_node("supervisor", supervisor)
workflow.add_node("worker", worker_agent)
workflow.set_entry_point("supervisor")
workflow.add_edge("supervisor", "worker")
graph = workflow.compile()
print("✓ Custom Multi-Agent Mesh Compiled.")Multi-agent architectures separate responsibilities, dramatically lowering hallucination rates, enabling parallel task execution, and allowing deterministic tool validation.
We integrate hard Human-in-the-Loop (HITL) approval gates and explicit JSON schema validations before any state-modifying API call is executed.
Book an architecture review session with our senior AI engineers to assess your infrastructure and custom requirements.
Request Technical Consultation