A team you manage
Many named agents. One inbox. Knowledge graph. Skills. MCP both ways. Pair devices over LAN.
Multi-agent
Approvals
Peer pairing
Knowledge graph
Comparison
SwarmMarshal vs OpenClaw
Both are local-first and agentic. SwarmMarshal manages a team; OpenClaw is one super-assistant.
One super-assistant
Single deeply-integrated assistant. Gateway plus broad channel access. Personal-utility focus.
Personal
Gateway
Skills
Channels
| Category | SwarmMarshal | OpenClaw |
|---|---|---|
| Primary model | A team of named agents with profiles, tools, and budgets. Boss approves; agents propose and execute. | One personal AI assistant centered on a single user. |
| Agent runtime | Tool-use loop with native provider adapters for OpenAI, Anthropic, Ollama, Gemini, and OpenAI-compatible providers. Profile + tool catalog. | Skill-driven assistant loop tuned for personal workflows. |
| Messaging | Unified inbox: email, Telegram, Slack, Discord, and Apple Messages, including iMessage/SMS where macOS allows it — threaded, agent-tagged. | Gateway plus chat surfaces (WhatsApp, Telegram, Slack, Discord). |
| Cross-device | Runs on Windows PCs and Macs. Pair over LAN; peer chat targets the agent on the other device. Mailbox transport as fallback bus. | Gateway WebSocket plus optional nodes. |
| Knowledge | Knowledge graph extracted from messages with LLM-written neighborhood summaries. | Skill memory geared to the assistant's recall. |
| Search | Hybrid semantic + BM25 across email, chat, contacts, tasks, knowledge. | Keyword and assistant-mediated recall. |
| Skills | Markdown or C# skills. AI-drafted skills land in a Drafts queue for human approval. | Skills ecosystem driven around the personal assistant. |
| MCP | Consumes MCP connectors today; exposing SwarmMarshal tools as an outbound MCP server is on the roadmap. | Skill-oriented; MCP support varies. |
| LLM routing | Per-task model with budgets, health checks, and auto-detect for Ollama. Spend Guard caps the bill. | Configurable model selection oriented around one assistant. |
| Workspaces | Vibes — vibe-code a workspace in plain English; agents build forms, tables, and views. | Scripted skills and commands. |
| Attention | Learns sender importance from your behavior; one-click correction. | Manual rules and preferences. |
| Setup | Guided setup: agents repair common local AI, browser, OAuth, and firewall issues. No CLI for the user. | Power-user oriented; comfortable with terminals. |
| Autonomy | Managed: agents propose, you ratify, accepted suggestions promote to automations. | Interactive agent loop with optional autonomous behavior. |
| Safety | Sandboxed shell + filesystem, host allowlists, per-agent budgets, approval prompts on risky tools. | Defaults exist; power users typically open broader access. |
| Best fit | Building a personal or family digital staff that runs across email, chat, calendar, and tasks. | Developers and power users wanting one deeply embedded assistant. |
If you want a digital department
- Many agents with named jobs, instead of one assistant doing everything.
- Inline approvals — you see proposals before anything ships.
- Knowledge graph turns recall into "who's connected to what" instead of keyword guesses.
- Run on Mac or PC, then pair laptops and desktops over LAN. Peer chat is just talking to the other machine's agent.
- Per-task LLM routing with cost caps and Ollama auto-detect.
- Guided setup and self-repair paths so non-technical users rarely need a terminal.
If you want one assistant, your way
- Very broad messaging-surface coverage.
- Strong personal-assistant identity and a fast skills ecosystem.
- Works well when one assistant should live across your devices.
- Gateway and node concepts give flexible remote-control workflows.