Agents
Five open-source agents, one platform. Pick the shape that fits the work — a production workhorse, a workhorse with a brain that compounds, a lightweight handler, an outcome-focused coworker, or a cross-system orchestrator. Each runs on MindsHub with the credentials vault, Model Router, persistent memory, and observability it needs.
The open-source workhorse agent.
OpenClaw is the production-grade open agent. It calls tools, executes code, plans across many steps, and works through real integrations. On MindsHub it runs with the credentials vault, Model Router, persistent execution, and memory you'd otherwise build yourself.
Especially good for
OpenClaw with a brain that compounds.
OpenClaw + GBrain pairs the open-source workhorse agent with a persistent local brain — facts, decisions, files, and people the agent has encountered are remembered across sessions instead of re-explained every time. On MindsHub it deploys in one click: agent, brain, model router, and 43 pre-loaded skills, no setup.
Especially good for
Lightweight agent for fast handoffs.
NanoClaw is OpenClaw’s small, fast sibling. Built for short jobs, embedded triggers, and prototypes — anywhere the overhead of a full agent runtime would slow you down. On MindsHub you get the same managed runtime, sized for the work.
Especially good for
The open-source AI coworker.
Anton turns plain-language requests into finished deliverables — dashboards, reports, cleaned spreadsheets, research packs, and workflows. On MindsHub it runs with the data, tools, and operational backbone it needs to actually finish the work.
Especially good for
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.
Especially good for
Same runtime, five different shapes. Start with the one that matches the job; switch later without rewriting integrations.
| OpenClaw | OpenClaw + GBrain | NanoClaw | Anton | Hermes | |
|---|---|---|---|---|---|
| Best for | Multi-step production work | Long-running, context-heavy work | Short, focused jobs | Outcome handoffs | Cross-system orchestration |
| Footprint | Heavy | Heavy | Light | Mid | Mid |
| Shape | Workhorse | Sage | Nimble | Coworker | Messenger |
| Typical run | Many tools, many steps | Recall → reason → learn | One input → one output | Plain ask → finished artifact | Event in → event out |
Run open-source agents the way you'd run a serious internal service — with the infrastructure pieces handled for you.
Every integration draws secrets from one vault. Agents never see raw keys.
Anthropic, OpenAI, Google, and open models side by side. Switch without rewriting the agent.
Long-running jobs survive restarts. Agents pick up where they left off.
Context that compounds — facts learned, decisions made, files touched.
Pre-built integrations for databases, warehouses, SaaS APIs, and the web.
Every step lands in the scratchpad. Audit, replay, or hand-edit.
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