Agent Framework Capability Matrix: Hermes → OpenClaw → Claude Code Full Capability Overview
TopicsAgentArchitectureMulti-AgentHermesOpenClaw
Capability Matrix Overview
Hermes Agent OpenClaw Claude Code
(Fallback/Background Layer) (Primary Interaction + Orchestration + Deployment Layer) (Multi-Instance Code Execution Layer)
Model: Qwen 3.6-Plus Model: DS V4 Pro/Qwen/Local Multiple instances in parallel
ModelStudio Coding Plan oMLX: Qwen3 Coder Next DS V4 Pro/Qwen/Local
──────────────────────────────────────────────────────────────────────────────
🔍 Search Tavily ✅ Tavily ✅ Tavily ✅
API Brave ✅ Brave ✅ Brave ✅
Web Fetch ✅ Web Fetch ✅ Web Fetch ✅
For background collection Real-time search during tasks Used by OC orchestration
──────────────────────────────────────────────────────────────────────────────
🧠 LLM Qwen 3.6-Plus DeepSeek V4 Pro ✅ DeepSeek V4 Pro ✅
API (ModelStudio only) Qwen 3.6-Plus ✅ Qwen 3.6-Plus ✅
oMLX Qwen3 Coder Next ✅ Local Qwen3 Coder ✅
Primary conversation engine Three instances in parallel
OC selects models for orchestration itself
──────────────────────────────────────────────────────────────────────────────
💰 Finance ─ In planning ✅ ─
API HK stocks/financial reports/valuation data
──────────────────────────────────────────────────────────────────────────────
🔌 MCP ❌ Not involved ✅ MCP Client Each instance has its own MCP
Protocol Orchestrates CC's MCP Server filesystem/github
Bridges for CC Independent tool set each
──────────────────────────────────────────────────────────────────────────────
🎯 Skills ❌ No slash commands ✅ Full slash command system Slash Commands
System Cannot follow instructions precisely /sdd /finance /reip /compact /review
Always "optimizes" and simplifies on its own /cc /cc-qwen /vercel Each instance independent
Autonomous background skill learning Skills management hub CLAUDE.md
──────────────────────────────────────────────────────────────────────────────
👤 Role Fallback: only used when OC can't handle it Primary entry point (90%+) Code writing + review
Background information gathering Task understanding → decomposition Multi-instance division of labor:
System health checks Resource orchestration + Skills management · DS V4 Pro: complex logic
Autonomous skill learning 🚀 Deploy Vercel · Qwen 3.6: rapid iteration
Barely a backup Sole entry point for slash commands · Local Coder: private code
──────────────────────────────────────────────────────────────────────────────
📡 Communication Internal logs/alerts Feishu / Lark ✅ ─
WhatsApp ✅ (all through OC)
WeChat ✅
Your only conversation window
Detailed Explanation of Each Layer
Hermes Agent: Backup/Background Layer
Role: Not the one you use daily. It is a background worker plus last-resort backup.
- Daily information gathering: Uses Tavily/Brave to gather AI news in the background for you to review
- System health checks: Periodically checks whether all components of the Agent framework are running normally
- Autonomous skill learning: Absorbs new knowledge and self-updates the skill library
- Backup role: Only tasks that OpenClaw cannot handle are passed to it to try
⚠️ Known issues:
- No slash commands: Can only communicate via natural language; cannot precisely trigger specific workflows. You are used to slash commands such as
/sddand/vercel, but Hermes does not support them - Unauthorized "optimization": When you tell it to do A and it thinks B is better, it switches to B on its own instead of following your instructions
- Over-simplification: Complex instructions are arbitrarily reduced, and the output is worse than expected
Conclusion: Just let it handle background gathering and system checks. Rely on OpenClaw for daily interactions.
OpenClaw: Primary Interaction + Orchestration + Deployment Layer
Role: The one you talk to 90% of the time. The system's central dispatch hub.
Core capabilities:
| Capability | Description |
|---|---|
| Slash command system | /sdd /finance /reip /cc /cc-qwen /vercel are all here |
| Task orchestration | Receives your instructions → breaks them into subtasks → assigns them to Claude Code |
| Skills management | Skills such as claude-code-bridge, enabling OC to orchestrate CC |
| Deploy to Vercel | npx vercel --prod is executed directly by OC |
| Multi-model orchestration | Automatically selects DeepSeek V4 Pro / Qwen 3.6 / local Coder based on the task |
| Multi-channel communication | Feishu/Lark, WhatsApp, and WeChat are all integrated |
Large model backends:
- DeepSeek V4 Pro (complex reasoning)
- Qwen 3.6-Plus via ModelStudio (rapid iteration + Chinese content)
- oMLX local Qwen3 Coder Next (privacy-sensitive tasks)
Claude Code: Multi-Instance Code Execution Layer
Role: OpenClaw's "hands". OpenClaw thinks, CC does.
Three parallel instances:
| Instance | Model | Purpose |
|---|---|---|
| CC DeepSeek | DeepSeek V4 Pro | Complex logic, large-scale refactoring, deep analysis |
| CC Qwen | Qwen 3.6-Plus | Rapid iteration, UI adjustments, Chinese content |
| CC Local | oMLX Qwen3 Coder Next | Sensitive code, privacy-focused projects |
Responsibilities:
- Code writing, review, and refactoring
- Shell command execution
- Git operations (commit, branch, diff)
- Read and edit codebases
A Typical Day
08:00 Hermes quietly gathers information and checks the system in the background (you mostly ignore it)
09:00 You on Feishu → OpenClaw: "/cc review yesterday's commit"
OC → CC Bridge → CC (DeepSeek V4 Pro) → review report
09:15 You → OpenClaw: "/cc-qwen quickly tweak this UI color"
OC → CC (Qwen 3.6-Plus) → changes it instantly
10:00 You → OpenClaw: "/vercel"
OC deploys directly, done in seconds
If OC gets stuck:
You → Hermes: "Help me try..."
Hermes: starts unilaterally "optimizing" your instructions 😤
You: Never mind, wait for OC to recover
Article Navigation for Each Framework
More in Learn
- Complete LangChain Tutorial 2026: Building Enterprise-Grade LLM Applications from Scratch
- MemoryHub v2.0 System Architecture In-Depth Analysis: From Capture Daemon to MCP Real-Time Memory Capture
- May 2026 LLM API Pricing Landscape: Complete Comparison of DeepSeek, Qwen, GLM, Kimi, MiniMax, and Doubao
- Cross-Channel Memory Hub: A Full Record of the Memory System Architecture Design for OpenClaw Agent