I will setup openclaw hermes ai agent telegram whatsapp n8n mcp claude code multi agent

Yes. I set up Hermes agent with task-specific instructions and initial skill files. The agent writes new skills after every 15 tool calls. By week two it stops rediscovering your workflows and runs them faster. I document every skill created so you can edit or delete them at any time.

WhatsApp bans happen from datacenter IP detection, 24/7 activity signatures, and fast message rates. I configure session persistence, rate limiting, and reconnect delays. For high-risk setups I route through WhatsApp Business API to eliminate the ban risk entirely.

I configure both. OpenClaw supports Claude, OpenAI, Ollama, Gemini, and OpenRouter. Hermes agent supports 200 plus models via OpenRouter and Nous Portal. For both I build fallback chains so if Claude rate-limits mid-session the agent switches to a backup model without dropping tasks.

Yes. I deploy Hermes agent profiles with isolated memory, separate tool permissions, and individual gateway connections. One profile for ops, one for sales, one for research. Each runs through its own Telegram bot. Zero context bleed between profiles on a single VPS.

I install and wire MCP servers into both OpenClaw and Hermes agent configs, mapping each server to its authorized tools and scopes. I have integrated Gmail, Google Drive, Notion, HubSpot, Obsidian vault, GitHub, and custom REST APIs via MCP in production setups. Full docs on delivery

Yes. I run Hermes agent inside a Docker container with a mounted workspace so the agent only accesses directories it needs. This contains tool-call blast radius. I also configure the built-in allowlist and dangerous command detection. No runaway shell access to your host system.

I connect n8n to both via webhooks. When OpenClaw or Hermes agent decides to act, it fires a webhook that triggers your n8n workflow. The workflow handles CRM updates, email sends, Slack alerts, and Airtable writes. API keys for downstream tools never enter the agent context window.

I set hard spending limits at the API provider level for Claude and OpenAI. I also configure OpenClaw cost guards and Hermes agent token budgets per session. Session cleanup cron jobs prevent transcript bloat. Most runaway agent costs are fixed by these three controls together.

I configure an orchestrator that decomposes tasks and dispatches to sub-agents with defined roles. Each sub-agent has its own memory, system prompt, and channel. The orchestrator picks up results and compiles the final output. The full routing chain is tested before delivery.

Yes. Hermes has a built-in migration command that imports your OpenClaw config, memories, skills, and API keys automatically. I run it, verify every skill loaded correctly, test the gateway, and rebuild any custom skills that did not transfer cleanly. Full documentation included on delivery.