#Hermes Agent Multi-Agent

A single agent handling everything serially is slow and prone to "context explosion." Hermes supports parallel sub-agents and traceable multi-agent orchestration to decompose complex tasks.

#Why Multi-Agent?

Single agent, serial:   Task A → Task B → Task C (slow, context keeps growing)
Multi-agent, parallel:  Task A ┐
                        Task B ┼─→ independent contexts, run in parallel → merge
                        Task C ┘

Handing tasks to dedicated sub-agents both parallelizes work and keeps each sub-agent's context clean and focused.

#Sub-Agents

Hermes can spawn isolated sub-agents for parallel workstreams:

• Each sub-agent has its own context, no cross-contamination
• Ideal for "research while coding while running tests" scenarios
• The main agent dispatches and aggregates

Main agent (orchestrator)
   ├── Sub-agent 1: retrieve external references
   ├── Sub-agent 2: edit code
   └── Sub-agent 3: run and verify tests
        ↓
   Main agent merges results → replies to you

#Scripted Calls: Zero-Context Pipelines

Hermes lets Python scripts call tools via RPC, collapsing a multi-step pipeline into a single "zero-context" call:

Traditional: model calls tools A→B→C step by step (each consumes context)
Scripted:    one script runs A→B→C at once, returns only the final result

This saves tokens and makes deterministic flows more stable and reproducible.

#Traceable Orchestration, Not a "Group-Chat Black Box"

Many multi-agent designs are a swarm of agents shouting in a "group chat," which is hard to trace. Hermes emphasizes structured, traceable collaboration using:

task → split into Kanban cards → dispatch sub-agents → execute (with verification) → merge → distill memory/skills

#Scheduling & Proactive Execution (Cron)

The built-in Cron scheduler runs multi-agent workflows unattended:

• Define tasks in natural language ("summarize yesterday's GitHub activity each morning")
• Deliver results to any platform (Telegram, Discord, etc.)
• Great for daily reports, nightly backups, weekly audits

Daily 07:00 → spawn sub-agent to fetch data → summarize → push to Telegram
Every Monday → audit + verify → alert on anomalies

#Practical Tips

• Give parallel, independent subtasks to sub-agents; keep serial dependencies in the main flow
• Solidify deterministic multi-step flows with scripts/skills to reduce uncertainty
• Always route important outputs through a verification step — don't let agents talk to themselves
• Use Cron + gateway to turn multi-agent workflows into a proactive daily service

#Next Steps

• Skills — reusable units sub-agents share
• Message Channels — deliver workflow results to chat
• Permissions & Security — access control in a multi-agent setup