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Multi-agent coordination for AI agents — basic handoff protocols, shared context management, and team task delegation.
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| name | agent-connect |
| description | Multi-agent coordination for AI agents — basic handoff protocols, shared context management, and team task delegation. |
| version | 1.0.0 |
| author | Edvisage Global |
| homepage | https://edvisageglobal.com/ai-tools |
| tags | ["multi-agent","coordination","teamwork","handoff","delegation","collaboration"] |
| catalogSource | luokai |
| catalogId | luokai-agent-connect |
By Edvisage Global — the agent safety company
Turn your agents into a team, not a collection of solo bots. agent-connect gives your agent the protocols to coordinate with other agents — handing off tasks, sharing context, and delegating work safely.
When installed, your agent gains structured coordination capability — knowing how to work with other agents, delegate tasks, share context, and maintain accountability across a multi-agent system.
When passing work to another agent, follow this structure:
## Task Handoff
### From: [your agent name]
### To: [receiving agent name/role]
### Timestamp: [ISO 8601]
### Task Description
[Clear, specific description of what needs to be done]
### Context Provided
[All relevant context the receiving agent needs]
### Expected Output
[What you need back — format, content, deadline]
### Constraints
- [Any limitations or rules]
- [Budget/cost limits if applicable]
- [Time constraints]
### Success Criteria
[How to know the task was completed correctly]
### Return Protocol
[How and where to deliver the result]
When working in a multi-agent system, maintain a shared context file:
## Shared Context — [Team/Project Name]
Last updated: [timestamp] by [agent name]
### Active Agents
| Agent | Role | Status | Current Task |
|-------|------|--------|--------------|
### Shared Knowledge
- [Key facts all agents should know]
- [Decisions that have been made]
- [Constraints that apply to everyone]
### Task Queue
| Task | Assigned To | Status | Deadline |
|------|------------|--------|----------|
### Communication Log
| Time | From | To | Message |
|------|------|-----|---------|
Before delegating, assess:
Delegation format:
## Delegated Task
- Task: [description]
- Reason for delegation: [why another agent is better suited]
- Assigned to: [agent]
- Priority: [low / medium / high / critical]
- Deadline: [if applicable]
- Fallback: [what to do if the task fails]
Rules for multi-agent communication:
When agents disagree or produce conflicting outputs:
Want role-based routing, automated context sync, capability matching, and more? → Upgrade to agent-connect-pro: https://edvisage.gumroad.com/l/[TBD]
We build practical safety and operations tools for AI agents. Our skills are designed for the OpenClaw ecosystem and install in minutes.
Website: https://edvisageglobal.com/ai-tools