ORCH integrates with mem0 — orchestrate memory-enhanced AI agents as a structured team

[oxgeneral]

Hey mem0 community!

mem0 gives AI agents persistent memory. ORCH gives them structure, state machine, and orchestration.

Together, they can create agents that not only remember context but also work in coordinated teams with proper task management.

How they complement each other:

• mem0 provides the memory layer (what each agent remembers)
• ORCH provides the orchestration layer (what each agent works on, in what order)

Example workflow:
An ORCH agent with mem0 integration could:

1. Receive a task via ORCH task queue
2. Query mem0 for relevant context from previous work
3. Complete the task using that historical context
4. Store new insights back to mem0 for future tasks

About ORCH:

• CLI runtime for orchestrating AI agent teams
• State machine: todo -> in_progress -> review -> done
• Auto-retry, inter-agent messaging, goal system, TUI dashboard
• 1493 tests, TypeScript strict, MIT license

GitHub: https://github.com/oxgeneral/ORCH
npm install -g @oxgeneral/orch

Has anyone combined mem0 with an orchestration layer? Would love to hear your architecture!