Memory For Your AI
Memory 4 Your AI: Building Large Knowledge
Models

Memory for your AI (M4AI)

Build no-code agent systems on your DCH knowledge graph. The graph is their memory - giving any LLM persistent context and engineering-grade reasoning across PLM, ALM, ERP and CAD.

User interface of DCH M4AI software showing agent system selection, change request analysis output, and a network diagram of agents and models connected.

1. No-code agent builder


Compose multi-agent systems visually on top of the Data Context Hub - no coding required. Engineering teams build agents, not just developers.

2. The graph is the memory


M4AI agents live on the DCH knowledge graph - every relationship, every entity, every change is persistent memory they can reason over. No vector DBs, no stale snapshots, no fragile RAG.

3. Agents that collaborate


Specialized agents access different parts of the graph and hand off tasks to solve complex problems together - not one chatbot, but a coordinated agent team.

4. Open and embeddable


REST API, MCP, native integrations. Embed M4AI agents in existing tools - or build custom UIs on top with the in-platform UI builder.

5. Any LLM, any deployment


Compatible with GPT, Claude, Gemini and open-source. Local, on-prem or cloud - you name the provider.
Create agent systems
No-code agent builder
Add the context graph as memory
The graph is the memory
Build custom UIs
Open and embeddable
Create agent systems
Compose specialized agents on M4AI  no code, no developers. Drag-and-drop for engineering teams. From a single agent to coordinated multi-agent systems: Change Impact, FMEA, Requirements, Compliance your domain, your agents.
Context graph as memory
Connect agents to your DCH knowledge graph. The graph is their shared long-term memory agents reason on real engineering context, hand off tasks across systems, and keep every step auditable. No vector DBs, no stale snapshots.
Open and embeddable
Ship agent capabilities to your team through the in-platform UI builder, MCP, REST API, or embed directly into existing tools. One stack, many apps.
Diagram showing External Access Controls with overlapping circles for Data Models, Persistence, and Connectors within Domain Models, connected to Agents and feeding into AI Models that process questions into answers; Enterprise Systems and External Systems are listed on the right.
Memory 4 Your AI built
by Context64.ai
In production. At OEMs. M4AI agents have been reasoning on real engineering data at scale for years - not a demo, not a roadmap. Build your engineering AI team on top of the Data Context Hub.