4-Agent AI System Enhancement (OpenClaw)
Budget: $30 – $250 NZD
4-Agent AI System Configuration & Stabilization (OpenClaw)
Project Overview
We need an experienced developer to configure and stabilize a multi-agent AI system for a service provider company.
The system runs locally on macOS using OpenClaw and integrates with OpenAI and Brave Search.
The main goals are:
Persistent memory (no session wipe)
Strict role isolation between agents
No task overlap or role confusion
Secure, scalable architecture
Current Setup
OS: macOS (Mac mini)
Platform: OpenClaw (local gateway/dashboard)
APIs:
OpenAI API (already connected)
Brave Search API (already configured)
Execution: Manual / on-demand (no automation yet)
Existing agents:
Infrastructure agent
Finance/Organization agent
Required Final Architecture (4 Agents)
Each agent must have:
Its own OpenClaw workspace
Separate persistent memory
Scoped tool access
Strict permission boundaries
1) Marketing & Social Media Agent
Responsibilities:
Content calendars & social posts
Ad campaigns & outreach
Lead funnel analysis
Restrictions:
No access to financial or admin data
2) Training & Operations Agent
Responsibilities:
SOP & playbook management
Technician onboarding & performance tracking
Scheduling & operational dashboards
Access:
Read-only access to finance summaries (no raw banking data)
3) Admin Agent
Responsibilities:
Email triage & scheduling
HR paperwork & compliance
Cross-team coordination
Access:
Read-only access outside its own domain
4) Finance Agent
Responsibilities:
Daily / weekly / monthly reports
Budgeting & forecasting
Revenue reconciliation
Tip & payout tracking
Restrictions:
No access to marketing or social media systems
Memory & Data Requirements
Persistent Memory (Mandatory)
Separate memory per agent
Use:
SQLite or Postgres for structured data
Chroma or LanceDB for vector memory
No shared memory between agents
Data to Ingest
SOPs & process documents
Policies from SOUL.md / USER.md
Training & onboarding checklists
Housecall Pro exports & KPIs
Security & Permissions
Separate OpenClaw workspaces
Tool-level permission scoping
Memory isolation at database & vector level
No credential sharing between agents
Scope of Work
Re-configure existing agents
Create and configure 2 additional agents
Implement persistent memory for all agents
Enforce strict role boundaries
Validate behavior (no role leakage)
Out of Scope
UI/dashboard development
Cloud deployment
Advanced automation (cron jobs can be added later)
Expected Outcome
A stable, secure, and scalable 4-agent AI system where:
Memory persists across sessions
Each agent stays in its lane
Sensitive data is protected
System is ready for future automation
Budget: $45 NZD
Delivery: 3 days
Project Overview
We need an experienced developer to configure and stabilize a multi-agent AI system for a service provider company.
The system runs locally on macOS using OpenClaw and integrates with OpenAI and Brave Search.
The main goals are:
Persistent memory (no session wipe)
Strict role isolation between agents
No task overlap or role confusion
Secure, scalable architecture
Current Setup
OS: macOS (Mac mini)
Platform: OpenClaw (local gateway/dashboard)
APIs:
OpenAI API (already connected)
Brave Search API (already configured)
Execution: Manual / on-demand (no automation yet)
Existing agents:
Infrastructure agent
Finance/Organization agent
Required Final Architecture (4 Agents)
Each agent must have:
Its own OpenClaw workspace
Separate persistent memory
Scoped tool access
Strict permission boundaries
1) Marketing & Social Media Agent
Responsibilities:
Content calendars & social posts
Ad campaigns & outreach
Lead funnel analysis
Restrictions:
No access to financial or admin data
2) Training & Operations Agent
Responsibilities:
SOP & playbook management
Technician onboarding & performance tracking
Scheduling & operational dashboards
Access:
Read-only access to finance summaries (no raw banking data)
3) Admin Agent
Responsibilities:
Email triage & scheduling
HR paperwork & compliance
Cross-team coordination
Access:
Read-only access outside its own domain
4) Finance Agent
Responsibilities:
Daily / weekly / monthly reports
Budgeting & forecasting
Revenue reconciliation
Tip & payout tracking
Restrictions:
No access to marketing or social media systems
Memory & Data Requirements
Persistent Memory (Mandatory)
Separate memory per agent
Use:
SQLite or Postgres for structured data
Chroma or LanceDB for vector memory
No shared memory between agents
Data to Ingest
SOPs & process documents
Policies from SOUL.md / USER.md
Training & onboarding checklists
Housecall Pro exports & KPIs
Security & Permissions
Separate OpenClaw workspaces
Tool-level permission scoping
Memory isolation at database & vector level
No credential sharing between agents
Scope of Work
Re-configure existing agents
Create and configure 2 additional agents
Implement persistent memory for all agents
Enforce strict role boundaries
Validate behavior (no role leakage)
Out of Scope
UI/dashboard development
Cloud deployment
Advanced automation (cron jobs can be added later)
Expected Outcome
A stable, secure, and scalable 4-agent AI system where:
Memory persists across sessions
Each agent stays in its lane
Sensitive data is protected
System is ready for future automation
Budget: $45 NZD
Delivery: 3 days