Context
Context domain — read-only facades for the agent loop's gather phase. System state, embeddings, and key-value storage for AI agents.
Overview
The Context domain provides application-specific context and data management for agents. It enables agents to access, store, and retrieve information needed for intelligent decision-making and task execution.
Context is one of the three pillars of the agent loop: Gather Context → Take Actions → Verify Results.
Context APIs
| API | Description |
|---|---|
| System Context | Read-only composition of all system Context interfaces |
| Embeddings | Vector embeddings for semantic search |
| Key-Value Store | Key-value persistence for the agent loop |
Role in Agent Loop
Context provides the foundation for informed agent behavior:
Usage
Context is accessed through the context protocol domain. SystemContext composes all system read interfaces into a single entry point. Embeddings and KV are agent-facing read/write interfaces for semantic search and key-value persistence respectively.
Integration
Context integrates with:
- System: Accesses system-level information
- Actions: Provides context for action execution
- Checks: Context informs quality verification
- Workflows: Workflows access context during execution