A comprehensive AI agent management module for handling full lifecycles and multi-platform integrations like Dify and DeerFlow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dk-soft-agent-module
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install dk-soft-agent-module using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is soft-agent-module?
The soft-agent-module, also referred to as acore-agent, is a core intelligence management framework designed for AI middle-end applications within the Openclaw Skills ecosystem. It provides a standardized approach to managing the complete lifecycle of AI agents, including creation, DSL imports, editing, and multi-platform publishing. By utilizing advanced architectural patterns like Template Method and Factory patterns, it allows developers to scale their AI capabilities across various engines without rewriting core logic.
soft-agent-module Use Cases
- Managing the end-to-end lifecycle of AI agents from initial creation to production publishing.
- Integrating enterprise AI workflows with platforms like Dify and DeerFlow using standardized gateways.
- Implementing granular access control for AI resources using Owner, Collaborator, and User roles.
- Developing multi-tenant AI applications that require strict data isolation and resource mapping.
How soft-agent-module Works
- Requests are initiated through the AgentController, which acts as the entry point for agent management tasks within Openclaw Skills.
- The AgentApplicationService orchestrates the workflow, delegating domain-specific logic to the AgentDomainService.
- A Factory pattern selects the appropriate AgentPlatformGateway (e.g., Dify or DeerFlow) to handle external platform communication.
- For DeerFlow integrations, the system pre-creates backend threads to ensure seamless frontend transitions to independent chat pages.
- Persistence is handled via MyBatis mappers, ensuring all agent metadata and resource mappings are stored according to the multi-tenant schema.
- The system provides an AgentQueryService client, allowing other modules like AIChat to interact with managed agents programmatically.
soft-agent-module Setup
To integrate this module into your project, follow these steps:
# 1. Clone or navigate to the agent module directory
cd acore-agent
# 2. Initialize the database schema
# Run the provided SQL script in your database environment
mysql -u your_user -p your_db < sql/01_create_table_agent.sql
# 3. Configure the backend
# Ensure the source path is recognized: acore-agent/src/main/java/com/giikin/acore/agent/
# Update your application properties with Dify or DeerFlow API credentials.
soft-agent-module Data Schema & Taxonomy
The module utilizes a structured data approach to ensure scalability and multi-platform compatibility:
| Component | Path / Detail | Description |
|---|---|---|
| Core Table | 01_create_table_agent.sql |
Defines agents, tags, and platform configurations. |
| Mapper | AgentMapper.xml |
Handles complex SQL for resource mapping and pagination. |
| Roles | Owner, Collaborator, User | Three-tier RBAC for agent ownership and usage. |
| Tenancy | Multi-tenant isolation | Ensures data privacy across different organizational units. |
soft-agent-module Advanced Features
- Extensible Gateway Architecture: Easily add support for platforms like N8N or custom LLM engines.
- Intelligent Chat Routing: Uses AgentMessageStrategy to route messages based on platformType.
- Resource Mapping: Advanced metadata taxonomy for mapping internal resources to external AI capabilities.
- Hybrid Pagination: Supports both traditional page-based queries and modern infinite-scroll data fetching.
SKILL.md
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