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Deshraj Yadav
2025-09-30 08:41:36 -07:00
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docs/examples/llamaindex-multiagent-learning-system.mdx
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@@ -11,7 +11,7 @@ Build an intelligent multi-agent learning system that uses Mem0 to maintain pers
This example showcases a **Multi-Agent Personal Learning System** that combines:
- **LlamaIndex AgentWorkflow** for multi-agent orchestration
- **Mem0** for persistent, shared memory across agents
- **Multi-agents** that collaborate on teaching tasks
- **Multiple agents** that collaborate on teaching tasks
The system consists of two agents:
- **TutorAgent**: Primary instructor for explanations and concept teaching
@@ -350,7 +350,7 @@ Based on our previous session, I remember we covered Vision Language Models and
1. **Clear Agent Roles**: Define specific responsibilities for each agent
2. **Memory Context**: Use descriptive context for memory isolation
3. **Handoff Strategy**: Design clear handoff criteria between agents
5. **Memory Hygiene**: Regularly review and clean memory for optimal performance
4. **Memory Hygiene**: Regularly review and clean memory for optimal performance
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