Memory Architecture
The Memory Architecture provides the Omni-Agent with persistent context about your workspace, coding patterns, and previous interactions. This enables more accurate code generation and fewer errors over time.
Memory Layers
- Workspace Memory — File structure, dependency graph, and project configuration
- Session Memory — Current conversation context and recent actions
- Pattern Memory — Learned coding patterns and conventions from your codebase
How Memory Improves Agent Performance
Without memory, every agent interaction starts from scratch. With memory, the agent knows:
- Your project's tech stack and architecture
- Naming conventions and code style
- Previously successful patterns
- Known issues and workarounds
Privacy: All memory is stored locally on your machine. It is never transmitted to external servers. Memory data is excluded from any cloud API calls.
Related
- Trajectory System — Action logging
- Verification Engine — Error detection