MyAibo designs multi-agent systems with CrewAI, LangChain, LangGraph, and custom frameworks — autonomous operations that plan, delegate, execute, and verify without sequential handoffs.
MyAibo builds production multi-agent architectures across CrewAI, LangGraph, AutoGen, and LangChain, addressing loop completion, hallucination propagation, tool-call failures, and cost runaway through evaluation and monitoring infrastructure built into every deployment.
The gap between a chatbot and autonomous operations is architectural, not technological — the barrier is expertise to architect and safely deploy agents at production scale.
We design agent role taxonomy, supervisor coordination, memory architecture, and tool integration, choosing frameworks by workflow fit rather than preference.
Well-architected systems turn hours-long analyst workflows into 45-minute autonomous runs.
We add LLM-as-judge evaluation, circuit breakers, per-run cost caps, and human-in-the-loop checkpoints for high-stakes branches.
Systems built with safeguards from day one reach stable operation in the first deployment cycle instead of three months of firefighting.
We integrate agents with CRMs, project tools, Slack/Teams, and data warehouses, including auth, rate limiting, and audit logging, plus MCP servers where needed.
Agents that read and write to real work systems deliver impact in days, not months.
Select the target workflow, design role taxonomy, and select a framework.
Build core agents and evaluation/cost-monitoring infrastructure.
Full implementation, enterprise integration, and benchmarking.
Weekly monitoring and new workflow integration.