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Multi-Agent Collaboration & Swarm Handoffs

Modern enterprise tasks rarely fit a single monolithic model. The isagent.io/app workspace supports Multi-Agent Swarms, enabling specialized domain agents to collaborate, review each other’s outputs, and seamlessly hand off sub-tasks in a single unified conversation.

                   ┌───────────────────────────────┐
                   │    SenseNode Intent Router    │
                   └───────────────┬───────────────┘
                                   │
              ┌────────────────────┼────────────────────┐
              ▼                    ▼                    ▼
     ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐
     │ Solution Arch   │  │ Python Engineer │  │ Security Auditor│
     │ Agent (Claude)  │  │ Agent (Fast)    │  │ Agent (Cedar)   │
     └────────┬────────┘  └────────▲────────┘  └────────▲────────┘
              │                    │                    │
              └──── [HANDOFF] ─────┘                    │
                                   └──── [HANDOFF] ─────┘

Agent Handoff Patterns

1. Automatic Intent Routing (SenseNode)

When a prompt contains multiple cross-functional requests, the platform’s intent classifier (SenseNode) dynamically decomposes the workflow and assigns the task to the optimal agent persona:

  • Architect Agent: Responsible for high-level schema design and structural trade-offs.
  • Coder Agent: Focused on syntax, unit tests, and performance optimization.
  • Auditor Agent: Inspects Cedar security boundaries, token consumption, and audit trails.

2. Explicit User Mentions (@agent)

Users can explicitly bring specialized agents into the conversation using @ syntax:

> @data-analyst Analyze the user retention trend in the attached CSV and @copywriter draft an executive email summary.

3. Agent-to-Agent Handoffs ([HANDOFF:])

An agent can autonomously delegate downstream execution to a teammate by emitting a structured [HANDOFF:] directive:

{
  "action": "handoff",
  "target_agent": "security_auditor",
  "context": {
    "proposed_pr": 429,
    "changed_files": ["src/auth/pkce.py"]
  },
  "instruction": "Verify that PKCE code verifier entropy satisfies RFC 7636 before merging."
}

Shared Workspace Scratchpad

During multi-agent execution, agents do not dump raw diagnostic logs into the user chat stream. Instead, they write to a shared Session Scratchpad:

  • Artifact Ownership: Any agent in the session can read, inspect, or modify artifacts created by predecessor agents.
  • Context Compaction: Intermediate sub-agent tokens are compressed, preventing context window exhaustion during long multi-step investigations.
  • Collaborative Verification: For mission-critical tasks, the primary agent drafts the solution, and a secondary verification agent runs automated checks before presenting the result to the user.