OBJX Intelligence
OBJX Intelligence Multi-Agent Platform
Agent-first multi-tenant platform built around persistent memory, covering project management, financial operations, proposal generation, and a real-time dashboard.
Challenge pressure
An enterprise AI suite needed agents that remembered prior work across sessions while staying isolated per tenant.
The situation
Agents that forget everything between sessions cannot run a programme of work. The suite spans programmes, projects, and tasks alongside financial operations, so the same agent has to pick up context it established days earlier, without ever seeing another tenant.
What we built
A five-agent architecture on LangGraph and LangChain over Claude Sonnet and GPT-4, with MEM0 holding long-term memory. The backend is FastAPI 0.104 on PostgreSQL 15, Redis, async SQLAlchemy 2.0, Alembic, and Celery; the frontend is React 18.3 and TypeScript 5.5 on Vite with shadcn/ui and TanStack Query v5. A five-tier permission system enforces multi-tenant isolation, and six enterprise integrations spanning Google Workspace, Slack, Teams, Salesforce, Monday.com, and Asana connect over OAuth2 and webhooks.
What changed
The platform reports a 94.7% health score in production.
Constraints and decisions
Persistent memory and multi-tenancy pull against each other: memory is only useful if it survives sessions, and only safe if isolation holds at every tier of the permission model. Isolation is enforced in the data layer rather than in agent instructions, because an instruction is not a boundary.
Measured outcomes
94.7% platform health score in production
Five specialised agents with MEM0 long-term memory
Five-tier permission model with multi-tenant isolation
Technology stack
Delivery fit
Designed for OBJX Intelligence where AI Agents needed to feel like a dependable operating system, not a fragile prototype.
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