Workflow orchestration across SaaS
CRM ↔ data warehouse, ticketing ↔ Slack, billing ↔ accounting. Hermes is the wiring that adapts to context, not a static pipe.
Agent
The orchestration agent for connected systems.
Hermes is the messenger agent. It moves information between systems, drives multi-step workflows, and keeps the right people and services in sync. On MindsHub it runs alongside your other agents, with shared tools, credentials, and memory.
Hermes is built for the work that lives between systems. It listens for events, transforms what it hears into the right shape for the next destination, and routes information where it needs to go. Where Anton hands back a finished deliverable and OpenClaw runs deep multi-step work, Hermes keeps the pipes flowing.
On MindsHub, Hermes coordinates with the other agents on the platform through shared memory and tool access. The result is multi-agent workflows that compose — Hermes routes, OpenClaw computes, Anton ships the artifact — without you stitching the orchestration together yourself.
CRM ↔ data warehouse, ticketing ↔ Slack, billing ↔ accounting. Hermes is the wiring that adapts to context, not a static pipe.
Daily, weekly, on-event. Hermes pulls from many sources, summarizes, and delivers to the right channel.
When two systems need to share state but don't speak each other's API. Hermes translates, filters, and forwards.
Hermes coordinates other agents — picks the right one for each step, hands off, collects results, decides next moves.
Cron-like schedules, webhook triggers, queue-driven pipelines. Hermes is the runtime; you describe the policy.
Hermes is open-source either way. The difference is the operational backbone around it.
| What you handle… | Self-hosted | On MindsHub |
|---|---|---|
| Secrets management | You manage keys, rotation, scoping | Built-in credentials vault |
| Model access | One provider relationship per LLM | Model Router with `latest:*` aliases |
| Persistent execution | Queues, workers, retries you build | Managed runtime, jobs survive restarts |
| Memory across runs | Your storage, your schema, your reset logic | Shared memory store, built in |
| Tool integrations | Per-tool plumbing, per-tool auth | Pre-built catalog, shared auth |
| Observability | You wire your own traces | Scratchpad + audit log on every run |
| Scaling | VMs, queues, autoscaling rules | Managed — no servers to mind |
Every integration Hermes touches uses the same secrets layer. No per-flow secret management.
Long-running pipelines survive restarts. Hermes resumes mid-flow, with state intact.
Hermes can call OpenClaw, NanoClaw, or Anton through the platform. Build pipelines that compose agents instead of treating each as an island.
Every routing decision, every transformation, every downstream call shows up in the scratchpad and audit log.
Fast model for the routing decision, reasoning model for the harder transforms, vision model when an attachment shows up. Pick per task, not per pipeline.
No queues to manage. No workers to scale. Hermes runs on the same managed runtime as every other agent on the platform.
Describe what Hermes should listen for, what it should produce, and where it should send the result. Plain language; no DSL.
Connect the source and destination — webhooks, queues, SaaS APIs, internal services. Secrets go in the vault; auth is scoped per integration.
Hermes routes events as they arrive. Every run shows up in the scratchpad — replay, edit, or branch as the pipeline evolves.
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