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memory-agents

Manage Emergent runtime agents and agent definitions with project scoping.

1|Updated Feb 6, 2026
Search Tags:#automation#ai#agents#management#workflows#emergent
One-click install
npx skills add https://github.com/emergent-company/emergent.memory --skill memory-agents-emergent-company
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-agents
Source: https://github.com/emergent-company/emergent.memory/tree/main/tools/cli/internal/skillsfs/skills/memory-agents
Command: npx skills add https://github.com/emergent-company/emergent.memory --skill memory-agents-emergent-company

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the management of AI agents and their definitions within Emergent projects, enabling efficient creation, execution, and monitoring of agent workflows.

Core Features & Use Cases

  • Agent Definition Management: Create, view, update, and delete agent blueprints (system prompts, model configs, tools).
  • Runtime Agent Operations: Instantiate agent definitions into live agents, trigger their runs, and monitor their execution history.
  • Interactive Agent Support: Handle agent questions and provide necessary responses to unblock agent runs.
  • Use Case: A developer needs to set up a new AI agent to monitor a specific data feed. They can use this Skill to define the agent's behavior, create an instance of it within their project, and then trigger its first run.

Quick Start

Use the memory-agents skill to list all agent definitions in the current project.

Frequently Asked Questions about memory-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage AI agent definitions within an Emergent project?▼

You can manage AI agent definitions within an Emergent project by using this Skill to create, update, and delete agent blueprints including system prompts, model configs, and tools. It handles both definition configuration and runtime execution.

How do I trigger and monitor runtime agent execution?▼

To trigger and monitor runtime agent execution, instantiate agent definitions into live agents within your project. This Skill supports triggering runs and tracking execution history to observe live agent workflows.

Can I handle interactive agent questions to unblock automated runs?▼

Yes, you can handle interactive agent questions to unblock automated runs. This Skill provides interactive agent support to receive and submit necessary responses, allowing stalled agent workflows to resume execution.

Do I need a specific prefix to automate AI agent workflows?▼

Yes, you need the `NO_PROMPT=1` prefix to automate AI agent workflows. For automated invocations and project scoping, this prefix is required alongside the `--project <id>` argument to target the correct environment.

What is the best way to configure live AI agents in Emergent?▼

The best way to configure live AI agents in Emergent is using this Skill to interact with live agent instances and their definitions. It enables instantiating blueprints, configuring model parameters, and inspecting execution history.

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