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Problem
Omi’s current chat experience is built on a basic RAG pipeline. While it retrieves and surfaces context well, it is not agentic in nature. This limits the system’s ability to proactively handle conversations, trigger tool calls, and act on context beyond static retrieval.
Proposal
Transition Omi’s chat to an agentic framework (e.g., OpenAI Agents or an equivalent agent framework). This agent should be capable of:
- Making tool calls dynamically
- Accessing and updating Omi’s conversations, memories, and action items
- Integrating seamlessly with the Omi MCP server for orchestrating actions
Benefits
- Richer, more proactive conversational flows
- Consistent memory-driven interactions
- Opens up future extensibility (more tools, multi-agent workflows, etc.)
References
- OpenAI Agents docs (for reference implementation)
- Omi MCP server integration points
Timeframe: 1 week.
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In review