AxionSquare
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Autonomous AI Multi-Agent Systems
Multi-agent systems using LangGraph and CrewAI with deterministic state machines and tool calling.
Engineering Overview
We design autonomous multi-agent networks that collaborate to execute complex, multi-step business workflows. Utilizing cyclic graphs, persistent memory, and deterministic tool verification, our agents deliver reliable execution without getting stuck in infinite loops.
Standard Architecture Deliverables
LangGraph cyclic state graph reasoning architectures
Tool-calling agents with API execution and sandboxed environments
Deterministic guardrails and human-in-the-loop approval triggers
Persistent agent conversation memory and vector state hydration
Telemetry dashboards tracking tool execution success and token consumption
Our Build Process
01
State Machine Mapping
Define agent roles, allowed actions, tools, and cycle exit criteria.
02
Tool & API Sandbox
Build authenticated tool execution wrappers with strict schema validation.
03
Agent Graph Assembly
Construct LangGraph state nodes, conditional routing, and fallback states.
04
Stress Testing & Rollout
Run adversarial edge-case simulations and deploy with human-in-the-loop gates.
Sprint Tiers & Options
Select the engagement structure that matches your product timeline.