MAIGI eliminates redundant context reads, reduces AI agent costs by 90%, and guarantees consistency and compliance across concurrent agents.
Join enterprise teams using MAIGI to reduce token spend from $500K/year to $50K/year while guaranteeing agent consistency and compliance.
Three core capabilities that solve the AI agent cost crisis
Instead of reloading context every turn, MAIGI stores agent conversations in a PostgreSQL-backed memory layer. When agents request context, they get only the NEW data—everything else is deduplicated via content hashing and version control.
When 10 agents read the same CRM record simultaneously, MAIGI guarantees ACID consistency. No race conditions. No conflicts. Built-in orchestration sagas handle distributed transactions across concurrent agents without data corruption.
Every agent interaction is logged. Who accessed what data, when, and why. Full audit trail for compliance. Temporal queries let you ask "what was the state at 2pm yesterday?" Perfect for debugging and regulatory requirements.
Real-world scenarios where multi-agent memory saves Fortune 500 companies thousands per month
The Problem: 10 sales agents simultaneously reading Salesforce CRM to qualify deals. Each turn reloads the full customer context (5000+ tokens). Multiply by 5 turns per conversation × 100+ daily conversations = massive token waste and stale data.
With MAIGI: First read loads full context. Subsequent reads get only new data. Agent 2 reading same customer pays zero token cost for already-loaded context.
The Problem: Support agents handling 10-50 message support conversations. Each message causes the agent to reload full ticket history + KB + customer profile. By message 20, context window is consumed, agent starts forgetting earlier messages.
With MAIGI: Agent sees full conversation history without token bloat. MAIGI deduplicates context across all 50 messages. Result: 95% first-contact resolution, 90% cost reduction.
Without MAIGI vs With MAIGI
Everything enterprise teams need to know