Agent Activation
Agents are the working personas you activate for a task. This is different from skills:
- agents are active workers or specialists
- skills are instruction packs you load when needed
This guide is about the user-facing agent workflow: inspect agents, activate the right ones, understand dependencies, and know when to let recommendations help.
Core Commands
cortex agent list
cortex agent status
cortex agent activate code-reviewer
cortex agent deactivate code-reviewer
Useful inspection commands:
cortex agent deps code-reviewer
cortex agent graph
cortex agent validate
Three Ways Agents Get Activated
1. Manual activation
Use this when you already know which specialist you want:
cortex agent activate security-auditor
cortex agent activate python-pro code-reviewer
This is the most direct path and the easiest one to reason about.
2. AI recommendations
Use the agent intelligence system when you want Cortex to suggest who should be active based on the current repo context:
cortex ai recommend
cortex ai auto-activate
This is recommendation-driven activation, not skill loading.
3. Dependency-driven activation
Some agents pull in related dependencies. Use the dependency tools to understand what an activation implies:
cortex agent deps architect-review
cortex agent graph
Activation Workflow
The practical flow is:
- check what is active now
- inspect the current task
- activate the smallest useful set of agents
- deactivate agents that are no longer relevant
Example:
# Inspect current state
cortex agent status
# Activate the specialists you need
cortex agent activate python-pro code-reviewer
# Later, trim back the set
cortex agent deactivate python-pro
Deactivation
Deactivation matters because an overgrown active set can add noise.
cortex agent deactivate code-reviewer
cortex agent deactivate architect-review --force
--force exists because dependency checks can block deactivation when other
agents still rely on the one you are removing.
TUI Workflow
cortex tui
Then:
- press
2for the Agents view - inspect active versus available agents
- activate or deactivate directly from the interface
- use
0to compare against AI recommendations in the AI Assistant view
When To Use Agents vs Skills
Use agents when:
- you want a specialist persona active for the task
- you want recommendation-driven activation from
cortex ai - you are managing the working set of collaborators
Use skills when:
- you want reusable instructions or references
- you want prompt-time or recommender-driven skill suggestions
- you want a context file for another session or model
Related
- AI Intelligence – recommendation-driven agent workflow
- Skills – separate skill workflow
- Export Context – package agent and skill context for handoff